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The fundamental disputes in urban heritage regeneration stem from variations in power dynamics and inherent value systems among stakeholders. Addressing conflicts and power differentials involving governmental bodies, market forces, community residents, experts, and scholars is crucial for fostering sustainable urban heritage development. Recently, these contradictions have grown more pronounced as China's urbanization has transitioned from rapid expansion to a phase focused on existing urban assets. In the present research, the typical traditional courtyard-style residential buildings in Jinan, a historic city in northern China, were selected as the object of study. These houses often suffer from problems such as outdated infrastructure and low living conditions and have become difficult to adapt to contemporary urban life. A case study approach was employed focusing on a representative courtyard house to develop models for renewing and regenerating urban heritage, specifically tailored to traditional courtyard houses. The aim was to address conflicts and power disparities among urban heritage stakeholders through diverse mechanisms. Methodologically, the research integrates historical study and field investigation, participatory analysis, and policy analysis. Primary data sources include field surveys, historical research, oral interviews, and drone aerial photography. Models were constructed in the present study—namely, the heritage self-renewal, heritage revitalization, and heritage transformation models—for traditional courtyard houses. These models were designed to foster sustainable urban heritage development through collaborative efforts across various stakeholders and administrative levels. They will optimize the renewal mechanism of urban heritage, thus providing diversity and multiple possibilities for the preservation and reuse of architectural heritage in China. They aim to realize comprehensive urban heritage values, including vitality, health, efficiency, and equity, while accommodating the interests of diverse stakeholders. [ABSTRACT FROM AUTHOR]

In this article, we examine two settlement types: a rural village and an urban neighborhood. Both settlements were built on state-owned lands, pre-planned, established over three generations ago, informed by the same planning theory, and inspired by the same national ideology. Given these similarities, we compare the values of their constructed environments. Through these values, we examine whether a village planned as a city retains its rural values, and whether an urban neighborhood can contain village construction values. The aim of this article is to examine whether the original planning has stood the test of time, in terms of rural and urban renewal. The research method involved the analysis of urban plans and observations of the built environment as a basis for evaluating the quality of the built environments. The findings and main contributions suggest that village and neighborhood planning based on optimal walking distances from the rural/urban centers and the high connectivity and visibility of both internal and external landscapes has provided both the village and neighborhood with a sound infrastructure for future changes, even decades later, and given a different set of needs. Nevertheless, whereas the village is based on a community, the neighborhood seeks to create one and, if it fails to do so, the open areas might become neglected, and the neighborhood might deteriorate. In such a case, only local activism or public intervention can improve the neighborhood's situation. This research constitutes an additional layer to studies examining the quality of the built environment, both in general and in Israel in particular, in cities and rural settlements. The case studies are Neighborhood D in Beersheba and the moshav Nahalal, Israel. [ABSTRACT FROM AUTHOR]

Establishing appropriate boundary conditions is essential for developing high-accuracy hydrodynamic models. However, this task is particularly challenging in topographically varying urban domains without monotonous slopes due to insufficient boundary information. This study investigates five different boundary conditions and establishes modeling practices of boundary conditions in pluvial urban flood modeling. A numerical test model within the city of Berlin is used, employing the 2D hydrodynamic finite element module of the open-source TELEMAC system. It performs unsteady simulations with nodal rainfall inputs for various precipitation scenarios, excluding infiltration. The results demonstrate that the suitability of boundary conditions is critically dependent on the surrounding topography. For boundary segments with a positive slope, a stage–discharge curve is found to outperform the other boundary conditions investigated in this study. Conversely, for segments with a negative slope, a closed wall boundary condition appears clearly preferable. Additionally, a drainage reservoir boundary condition performs effectively for more complex boundary segments but necessitates extensive preprocessing. Based on these insights, simulations were repeated with segment-tailored boundary conditions. The results indicate that this combined model outperforms the global application of each individual model. [ABSTRACT FROM AUTHOR]

Over the past decade, numerous countries and researchers have been investigating the potential of 3D cadastre based on the Building Information Model (BIM). In Türkiye, the General Directorate of Land Registry and Cadastre (GDLRC) has been engaged in the "Production of 3D City Models and Creation of 3D Cadastral Bases Project" since 2018. One of the objectives is to develop 3D (physical) digital building models (and databases) through the digitization of floor plans of architectural drawings. In order to ensure the long-term viability of this project, a new regulation was issued in 2021. This regulation mandates the submission of 3D digital building models to the land registry in order to register condominiums. The future goals of the GDLRC include utilizing the 3D digital building models produced to create legal spaces in condominium buildings for the 3D cadastre. However, no research has yet been carried out for this goal. The objective of this research is to identify the legal and BIM data requirements for deriving legal spaces in condominium buildings, in light of the legislative analysis, and to develop a web-based 3D cadastre visualization prototype (showing both legal spaces and physical objects) based on the requirements obtained from the scientific literature. The result of this research demonstrates that well-structured and annotated BIM data can be used to develop a 3D cadastre prototype that meets the legal requirements in the case of Türkiye. Moreover, it is evident that, although the GDLRC has initiated the construction of a robust foundation for a 3D cadastre based on BIM, further enhancements and resolutions must be implemented from a legal and technical standpoint. It is postulated that the identified requirements and the proposed methodology in this research may assist decision-makers in Türkiye and globally in formulating their strategic plans for a 3D cadastre. [ABSTRACT FROM AUTHOR]

The inner core of Sombor, known as "Venac", is probably the best-preserved one among medium-sized cities in Serbia. The stagnation of Sombor during the 20th century and its urban shrinkage in the 21st century have prevented significant transformations of the core, enabling its preservation under state protection as an urban heritage site. However, the recent rise of cultural tourism has triggered urban regeneration. As the city is still unprepared for this change, this regeneration has mostly omitted the inner core. Realising this, local representatives and experts have started rethinking innovative approaches to its regeneration, including the concept of Albergo Diffuso. This sustainable concept is created to revive the historic cores of small, shrinking cities and towns. Basically, it represents a hotel situated in several old buildings dispersed throughout a historic urban fabric, fitting perfectly into the regeneration of Venac. However, the current lack of precise spatial indicators and thresholds makes their incorporation into the planning process challenging. Considering this, this study focuses on the current spatial development of tourism in Venac, analysing the elements that would support and facilitate the application of this concept in the future. This article also proposes a set of new planning measures to support a strategically organised approach—from the emphasis on urban reuse and physical renewal to multileveled linking of basic concept conditions to the prioritization of pedestrian-friendly places and the application of innovative urban design in open public spaces. By connecting the selected Albergo Diffuso approach with spatial development and its analysis, this study also contributes to the spatial imprint of the concept's implementation. [ABSTRACT FROM AUTHOR]

The water–energy–food (WEF) nexus constitutes a pivotal aspect of regional ecological protection and high-quality development. The exertion of multiple WEF-related policies would engender both synergies and trade-offs within the WEF nexus. However, a quantified framework that integrates the impact of multiple WEF-related policies with conventional WEF nexus assessments and simulations is currently lacking. This study quantified the WEF nexus in the Yellow River basin (YRB) of China under the influence of multiple policies, calculated the current and future WEF scores under different policy combination scenarios using the improved entropy weight method, the auto-regressive integrated moving average (ARIMA) model, and the linear optimization method. The results revealed the following: (1) From 2000 to 2020, WEF overall scores and subsystem scores were substantially increased with spatial heterogeneity. (2) Scenario analysis indicated that policy implementation would generally accelerate WEF score improvements in each city, yet embracing all policies simultaneously was not optimal for each city. (3) The spatial heterogeneity in policy impacts was also found in the YRB, with higher trade-offs in the upper reaches of cities, and higher synergies in the middle and lower reaches of cities. To attain high-quality development within the YRB, the related policies' implementation should consider the regional disparities and enhance the optimization of resource allocation across the regions. [ABSTRACT FROM AUTHOR]

Smart cities use technological solutions to reduce the drawbacks of urban living. The importance of BIM and GIS integration has increased with the popularity of smart city and 3D city concepts in recent years. In addition to 3D city models, Building Information Modeling (BIM) is an essential element of smart cities. The 3D city model web client in this study displays three-dimensional (3D) city models created using photogrammetric techniques, BIM, and campus infrastructure projects. The comparison and integration of the aforementioned systems were evaluated. A web-based 3D client framework and implementation for combined BIM and 3D city models are the goals of the submitted work. The Web is a very challenging platform for 3D data presentation. The Cesium engine based on HTML5 and WebGL is an open-source creation and the virtualcityMAP application using the Cesium infrastructure was used in this study. [ABSTRACT FROM AUTHOR]

In the process of urban renewal, the high carbon emissions caused by pollution from construction waste and the consumption of materials and energy via "demolition and construction" present significant problems. Calculating carbon emissions and sinks is a prerequisite to carving out a low-carbon path via urban renewal. In this paper, we take an environmental improvement project in the Suzhou Industrial Investment Science and Technology Park as an example. Under the framework of the entire life cycle, we define the "renewal phase", which includes "demolition" and "construction", as the calculation boundary, and use the emission coefficient method as the primary calculation approach to assess carbon emissions and sinks. We construct a design-oriented carbon revenue and expenditure estimation system based on the BIM model. After its application in empirical cases, the results show the following: ① The building carbon emissions of Scheme A are 342 t higher than those of Scheme B, due to the fact that the "demolition and construction" works in the former increased by 6000 m2 compared to the latter. ② The landscape carbon emissions of Scheme B are 269 t higher than those of Scheme A, due to the addition of a 2500 m2 reinforced concrete overhead walking platform. ③ The annual carbon sink of Scheme A is six times higher than that of Scheme B, due to the fact that the number of trees and shrubs in the former is five-to-six times greater than in the latter. The number of trees planted plays a decisive role in enhancing the carbon sink benefit. ④ In the year during which the renewal project was implemented, the difference in carbon emissions between Scheme A and Scheme B was 72.9 t. By the 16th year, the difference in carbon emissions between the two schemes approached zero, and the carbon reduction advantages of Scheme A became more pronounced over the entire life cycle thereafter. Finally, this article summarizes four low-carbon design strategies for industrial park renewal projects: rational construction and demolition, three-dimensional parking, low-carbon materials, and plant carbon sequestration. In the context of inventory renewal, this article makes a significant contribution in terms of carbon footprint control and the "dual-carbon" goal. [ABSTRACT FROM AUTHOR]

China has the world's largest and fastest-growing elderly population, primarily living in outdated urban residential communities. These aging populations face challenges in outdoor activities (OA) and quality of life (QoL) due to deteriorating neighborhood-built environments (NBE). While upgrading these environments is essential for urban renewal, the specific NBE factors affecting OA and QoL for the elderly are not well understood, creating a gap in existing research. This study addresses this gap by investigating how NBE elements influence the OA and QoL of elderly residents in these communities. This study investigates these interactions by conducting a comprehensive literature review, followed by a questionnaire survey, with data analyzed using factor analysis, correlation analysis, and regression analysis. The results reveal that supermarkets and subways significantly impact the physical health of older adults. Psychological health is primarily shaped by daily activities, social relationships, and self-care ability, with roads, hospitals, and bus stops further affecting daily activities. Social relationships are largely influenced by social activities, which are impacted by grocery markets, subways, and parks. Additionally, self-care ability is affected by leisure and daily activities, as well as the accessibility of supermarkets, grocery markets, subways, and buses. These findings offer valuable insights for government-led initiatives aimed at implementing age-friendly retrofitting of NBEs, ultimately enhancing the OA and QoL of the elderly population. [ABSTRACT FROM AUTHOR]

Urban street space is a significant component of urban public spaces and an important aspect of people's perceptions of a city. Jinan Old City exemplifies the balance between the supply of and demand for green spaces in urban streets. The sense of comfort and the demand level of street spaces are measured via the space demand index. Open platform data, such as those from Baidu Maps and Amap, are evaluated using methods including ArcGIS network analysis and Segnet semantic segmentation. The results obtained from such evaluations indicate that, in terms of the green space supply, the overall level for Shangxin Street in Jinan is not high. Only 24% of the selected sites have an adequate green space supply. The level on Wenhua West Road is higher than that on Shangxin Street. The block on the western side of Shangxin Street has the highest green space demand, with a decreasing trend from west to east. There are several higher selection points in the middle section of Shangxin Street. The demand is lowest in the middle of Wenhua East Road. Shangxin Street's demand is higher than that of Wenhua West Road. The supply and demand are highly matched on Wenhua West Road and poorly matched on Shangxin Street, with 44.12% of the area in the "low supply, high demand" quadrant. This study proposes targeted optimization strategies based on supply and demand, thereby providing research ideas and methods for urban renewal. [ABSTRACT FROM AUTHOR]

Urban tourism has witnessed significant growth in recent years, driven by various factors that foster the transformation of urban areas into tourist hotspots. These factors include a rising interest in culture and heritage, ongoing urban redevelopment and conversion processes, and the introduction of new experiences and activities. Two particularly influential factors contributing to this growth are low-cost travel, which facilitates more accessible access to urban destinations, and the emergence of new types of accommodation, such as short-term rental (also known as local accommodation or Airbnb-type accommodation). The sudden and continuous growth of this type of tourist accommodation brings new challenges to cities and local communities. On the positive side, it contributes to job opportunities, the dynamism of the local economy, and urban revitalization. On the other hand, it also represents more difficulty in retaining the local population in city centers, as more and more buildings are converted into hostels and tourist apartments. In this context, it becomes essential to conduct studies evaluating the impacts of these dynamics in urban areas and how they influence residents' and visitors' perspectives. Therefore, this study aims to identify the main transformations resulting from short-term rental (STR) development, focusing on the impacts felt by tourists and residents in Porto. A questionnaire was distributed to tourists and residents in Porto's city center in June 2023. The results reveal differences in opinions between tourists and residents, particularly concerning historical heritage preservation, local population relocation, and reduced housing availability for residents. Nevertheless, there is a similarity in their opinions regarding the stimulus that local accommodation brings to the economy and the rehabilitation of buildings and urban areas. This study reinforces the need to pay more attention to the future development of tourist accommodation in city centers, especially regarding local policies and territorial planning, to balance better tourism development and local communities' quality of life. [ABSTRACT FROM AUTHOR]

Rapid urbanization is universally acknowledged to degrade ecosystem services, posing significant threats to human well-being. However, the effects of urban shrinkage, a global phenomenon and a counterpart to urbanization, on ecosystem services (ESs) remain unclear. This study focuses on China's Rust Belt during the period from 2000 to 2020, constructing a comprehensive analytical framework based on long-term remote sensing data to reveal the temporal and spatial patterns of ESs and their associations with cities experiencing varying degrees of shrinkage. It employs a random forest (RF) model and a Shapley additive explanation (SHAP) model to measure and visualize the significance and thresholds of socioeconomic factors influencing changes in ESs. Our findings highlight the following: (1) Since 2010, the three provinces of Northeast China (TPNC) have begun to shrink comprehensively, with the degree of shrinkage intensifying over time. Resource-based cities have all experienced contraction. (2) Regional urban shrinkage has been found to enhance the overall provision capacity of ESs, with the most significant improvements in cities undergoing continuous shrinkage. (3) The impact of the same socioeconomic drivers varies across cities with different levels of shrinkage; increasing green-space ratios and investing more in public welfare have been identified as effective measures to enhance ESs. (4) Threshold analysis indicates that the stability of the tertiary sector's proportion is critically important for enhancing ESs in cities undergoing intermittent shrinkage. An increase of 10% to 15% in this sector can allow continuously shrinking cities to balance urban development with ecological improvements. This research highlights the positive aspects of urban shrinkage, demonstrating its ability to enhance the provision capacity of ESs. It offers new insights into the protection and management of regional ecosystems and the urban transformation of the three eastern provinces. [ABSTRACT FROM AUTHOR]

Cultural visitation routes represent an important opportunity for the public display of the famous historical and cultural city of Beijing, and its pedestrian environment, as a linear spatial carrier linking various historical and cultural attractions, is of great significance for the preservation of the famous historical and cultural city of Beijing through analysis of its spatial quality. At present, Beijing's cultural visitation routes are in the stage of exploration and improvement, and scholars mainly focus on the selection, integration, and construction of cultural visitation routes in their research on cultural visitation routes, while the amount of research on the quality of the pedestrian environment for visitors is relatively small; in particular, the evaluation methods and indicator systems are still in the exploration stage. In this study, from the perspective of environmental behaviour theory, we took the Forbidden City–The Red House of Peking University–Wangfujing cultural visitation route as the research object and constructed a structural equation model to determine the perception of the pedestrian environment quality of the cultural visitation route in Beijing, starting from the visitors' feelings of the pedestrian environment of the cultural visiting route. This study found that there is a positive correlation between the quality of spatial behaviours, the quality of the pedestrian environment, and the quality of the facilities on the emotional response of the visitors, with the quality of the facilities having the greatest impact on the emotional response of the visitors; among the observational variables, cultural and scientific facilities, spatial landscapes, street furniture, and safety play a more obvious role, and they are the main factors affecting the emotional response of the visitors. Based on the results of this study, an optimisation strategy for enhancing the pedestrian environments of Beijing's cultural visitation routes is proposed to provide a reference for their design and optimisation. [ABSTRACT FROM AUTHOR]

Synthetic aperture radar (SAR) technology has become an important means of flood monitoring because of its large coverage, repeated observation, and all-weather and all-time working capabilities. The commonly used thresholding and change detection methods in emergency monitoring can quickly and simply detect floods. However, these methods still have some problems: (1) thresholding methods are easily affected by low backscattering regions and speckle noise; (2) changes from multi-temporal information include urban renewal and seasonal variation, reducing the precision of flood monitoring. To solve these problems, this paper presents a new flood mapping framework that combines semi-automatic thresholding and change detection. First, multiple lines across land and water are drawn manually, and their local optimal thresholds are calculated automatically along these lines from two ends towards the middle. Using the average of these thresholds, the low backscattering regions are extracted to generate a preliminary inundation map. Then, the neighborhood-based change detection method combined with entropy thresholding is adopted to detect the changed areas. Finally, pixels in both the low backscattering regions and the changed regions are marked as inundated terrain. Two flood datasets, one from Sentinel-1 in the Wharfe and Ouse River basin and another from GF-3 in Chaohu are chosen to verify the effectiveness and practicality of the proposed method. [ABSTRACT FROM AUTHOR]

Assessing healthy cities is a crucial strategy for realizing the concept of "health in all policies". However, most current quantitative assessment methods for healthy cities are predominantly city-level and often overlook intra-urban evaluations. Building on the concept of geographic spatial case-based reasoning (CBR), we present an innovative healthy city spatial case-based reasoning (HCSCBR) model. This model comprehensively integrates spatial relationships and attribute characteristics that impact urban health. We conducted experiments using a detailed multi-source dataset of health environment determinants for middle-layer super output areas (MSOAs) in Birmingham, England. The results demonstrate that our method surpasses traditional data mining techniques in classification performance, offering greater accuracy and efficiency than conventional CBR models. The flexibility of this method permits its application not only in intra-city health evaluations but also in extending to inter-city assessments. Our research concludes that the HCSCBR model significantly improves the precision and reliability of healthy city assessments by incorporating spatial relationships. Additionally, the model's adaptability and efficiency render it a valuable tool for urban planners and public health researchers. Future research will focus on integrating the temporal dimension to further enhance and refine the healthy city evaluation model, thereby increasing its dynamism and predictive accuracy. [ABSTRACT FROM AUTHOR]

Green development is an inevitable choice for sustainable development under the constraints of environmental resources. This paper attempts to explore the connotation of urban land green utilization efficiency (LGUE) and reveal its spatial differentiation characteristics. This study adopts the super-SBM model to measure LGUE from 2009 to 2022 and analyzes the spatiotemporal variation rules. Then, the study reveals the spatial influencing factors of LGUE, drawing the following conclusions: (1) the average efficiency value of LGUE at the national level is still at a low level, but it is on an upward trend. There are significant differences in LGUE among the eastern, central, and western regions, with the highest LGUE in the eastern region and the lowest in the western region. (2) The spatial distribution of LGUE in various cities across the country is not entirely random but shows significant spatial autocorrelation characteristics. The improvement in LGUE in a region can improve the surrounding region's LGUE. (3) Economic development level promotes the improvement of local city LGUE, but its impact on LGUE of surrounding neighboring cities is not significant; local city industrial structure upgrading can improve LGUE in both local and neighboring cities; foreign investment in local cities can promote LGUE in both local and neighboring cities; the increase in population density will hinder LGUE in local cities but improve surrounding cities LGUE. The intervention degree of local city government will suppress the improvement of LGUE in both local and neighboring cities. [ABSTRACT FROM AUTHOR]

Globally, the forced displacement of socially vulnerable communities causes significant contestation, irrespective of whether that occurs for mega-projects or smaller infrastructural, agricultural, urban renewal, or property developments. Despite multilateral guidelines for "socially inclusive" development, it is difficult to avoid the marginalization of evicted, local communities. Grounded on the credibility thesis, this article provides a new, theoretical basis for understanding the "social function of property" and how this may be used as a criterion to assess whether development-induced and resettlement projects should be given the go-ahead. Methodologically, this article employs the FAT (Formal, Actual, and Targeted) Institutional Framework to unpack the social function of property. To this end, it analyzes the acquisition and privatization of the common property of Indigenous Peoples to construct the Malaysian Bakun Hydroelectric Project, purportedly Asia's second-largest dam. The FAT analysis ascertains the following three conditions on which basis projects should be halted: (1) the property of the evicted communities fulfills a critical role in providing social welfare; (2) the said function is disregarded by the expropriating agency; (3) the power divides between the expropriator and expropriated prevent meaningful participation by the latter. This study demonstrates that the social function of property can be effectively measured and validates the FAT Framework as a viable tool to analyze development-induced projects (and policies), with particular reference to expropriation, privatization, and formalization. [ABSTRACT FROM AUTHOR]

When profit-driven renewal is difficult to implement, many historic districts in China become "frozen" under protection. In the recent social context of "building cities for the people", public value-oriented renewal of urban historic areas has become crucial in city transformation. This study investigates strategies for historic district regeneration in China by integrating spatial form, urban governance, and public value. We propose a novel framework to analyze the regeneration of historic districts, using Taiyuan's Bell Tower Street as a case study. The framework distinguishes between two dimensions: spatial and economic–social. In the spatial dimension, we focus on the transformation of spatial form to regenerate public value, emphasizing the attribute of "publicness" as central to urban regeneration efforts. This involves a tiered approach to excavating and upgrading historic districts at macro, meso, and micro levels. The economic–social dimension explores urban governance to enhance public value through collaboration between government, market, and societal actors. This study employs a mixed-methods approach, including document reviews, interviews, field observations, and statistical data analysis. The analysis highlights that a public value-oriented approach to heritage regeneration can balance historical preservation with contemporary urban needs, offering a sustainable model for other cities. [ABSTRACT FROM AUTHOR]

A large amount of industrial heritage has been preserved owing to the wide recognition of its value as part of urban renewal and rural revitalization. Shaanxi's industrial heritage is unique because of its rich historical resources. However, research on Shaanxi's industrial heritage has been of point and piecemeal form rather than systematic. In this study, through the collection of historical data and study of the academic literature, we analyzed 385 industrial heritage sites in Shaanxi in time and space from 1840 to 1978 using a geographic information system (GIS) to reveal their evolution patterns. We comprehensively examined the influence of factors such as natural resources, traditional ancient industry inheritance, transportation conditions, and historical policies, and found that the distribution of industrial heritage in Shaanxi resulted from the interaction of these factors. We have constructed the first ever level categorized and quantified multilevel industrial heritage atlas of Shaanxi in the form of a Sankey diagram using GIS spatial maps, which provides a traceable historical record for each industrial heritage site. We not only reveal the spatial evolution law of industrial heritage in Shaanxi but also provide an overall view of the practice of industrial heritage protection and renewal, thus helping avoid the homogenization of future design. Our findings are also of academic and practical significance for the study and protection of industrial heritage. [ABSTRACT FROM AUTHOR]

Urban squares are the main place for older adults' daily activities. The spatial layout of the urban square is not only related to the construction of a healthy city and the equitable distribution of public resources, but also of great significance in enhancing the sense of gain, security, and happiness of older adults. This essay takes "health needs of older adults" as the perspective, and constructs a multi-dimensional evaluation index system of urban square space for elderly suitability in terms of physiological, psychological, and social health. It also takes six urban squares in Yiyang city center as an example and analyzes and evaluates them using GIS network analysis and the entropy weight method. The results of the study show that (1) Yiyang city center squares show the distribution characteristics of "dense in the middle and scattered around", and the spatial distribution is not balanced, which leads to a small service area. (2) The overall intervention value of urban square space is mainly distributed between 0.291 and 0.710, with an average value of 0.481, and the overall intervention effect of the square is good. The reasons for differences in health interventions for older adults in urban square spaces centered on six aspects: the quality of the square space, the variety and convenience of travel lines, the tidiness of the environment, physical activities, safety, and social interaction. Based on this, this essay proposes three optimization strategies for the renewal of urban squares, the construction of characteristic squares, and the reconstruction of the urban square space system. The aim is to provide a reference for the future design and renewal of the elderly suitability of urban squares, so as to promote the construction of a healthy city. [ABSTRACT FROM AUTHOR]

Based on research data from the renovation of old residential areas in Chengdu, China, this study provides empirical evidence regarding the causal relationship between urban renewal and the transformation of residents' pro-environmental behaviors. The research results show a significant enhancement in residents' engagement in pro-environmental behaviors due to the renovation of old residential areas. Robustness tests based on replacement samples and two-stage difference–difference model also confirm the reliability of the conclusions. The preliminary mechanism test indicates that the mechanism of the impact of renovation of old residential areas on the transformation of residents' pro-environmental behaviors can be attributed to two main factors. Firstly, improving environmental infrastructure, such as upgrading waste segregation facilities and installing intelligent resource recycling devices, provides residents with better conditions for engaging in pro-environmental behaviors. Secondly, an increase in residents' environmental awareness has led to more voluntary participation in pro-environmental behaviors. This study proposes that decision makers acknowledge that urban renewal serves as both a means of improving urban infrastructure and as a hands-on environmental education for the entire population. Taking urban renewal as an opportunity to enhance citizens' awareness of environmental protection will effectively promote the transformation of pro-environmental behaviors and support sustainable social development. [ABSTRACT FROM AUTHOR]

Africa is currently undergoing rapid urbanization, which has placed a significant strain on its already insufficient infrastructure. Many cities struggle to meet the needs of their residents through sustainable urban development. This has put urban Africa to a pressing dilemma: the tension between preserving historic buildings and sites, and the drive to modernize and redevelop cities. Addis Ababa, the capital of Ethiopia, exemplifies this struggle, as it is currently undergoing a rapid urban transformation underpinned by an urban renewal and infrastructure development project, which has included the demolition of historic buildings in its oldest district, Piazza. This article uses Addis Ababa as a case study to demonstrate how historic preservation can be integrated into urban development strategies. It utilizes Zerrudo's methodology for historic preservation, encompassing the following four phases: awareness, appreciation, protection, and utilization. It further integrates Geographic Information Systems (GIS) technology throughout each phase, enhancing the precision and effectiveness of preservation efforts. It argues that historic preservation not only safeguards cultural identity and heritage, but also brings significant economic benefits, including tourism and job creation. This integrated approach ensures that development and preservation are not mutually exclusive, but rather are complementary aspects of sustainable urban development in Africa. [ABSTRACT FROM AUTHOR]

As urbanization accelerates, urban greenery, particularly street greenery, emerges as a vital strategy for enhancing residents' quality of life, demanding attention for its alignment with pedestrian flows to foster sustainable urban development and ensure urban dwellers' wellbeing. The advent of diverse urban data has significantly advanced this area of study. Focusing on Chengdu's central urban district, this research assesses street greening metrics against pedestrian flow indicators, employing spatial autocorrelation techniques to investigate the interplay between street greenery and pedestrian flow over time and space. Our findings reveal a prevalent negative spatial autocorrelation between street greenery and pedestrian flow within the area, underscored by temporal disparities in greenery demands across various urban functions during weekdays versus weekends. This study innovatively incorporates mobile phone signal-based population heat maps into the mismatch analysis of street greenery for the first time, moving beyond the conventional static approach of space syntax topology in assessing pedestrian flow. By leveraging dynamic pedestrian flow data, it enriches our understanding of the disconnect between street greening plans and pedestrian circulation, highlighting the concept of urban flow and delving into the intricate nexus among time, space, and human activity. Moreover, this study meticulously examines multiple street usage scenarios, reflecting diverse behavior patterns, with the objective of providing nuanced and actionable strategies for urban renewal initiatives aimed at creating more inviting and sustainable urban habitats. [ABSTRACT FROM AUTHOR]

As China's urbanization process accelerates, the issue of air pollution becomes increasingly prominent and urgently requires improvement, based on the fact that environmental conditions such as meteorology and topography are difficult to change. Therefore, relevant optimization studies from the perspective of architectural patterns are operable to mitigate pollution. This paper takes the Wenhua Road block in Shenyang, China, as the research object; obtains the concentration data of three kinds of particulate matter through fixed and mobile monitoring; and analyzes the spatial distribution characteristics of Local Climate Zones (LCZ) and particulate matter in the block based on the ArcGIS platform, identifies high-risk areas, and excavates the influence of LCZ on the concentrations of three kinds of particulate matter. The results show that the spatial distribution characteristics of PM1, PM2.5, and PM10 under the same pollution level are relatively similar, while the spatial heterogeneity of the distribution of the same particulate matter under different pollution levels is higher. The time-weighted results show that the PM1 pollution level in the block ranges from 44 to 51 μg/m³, PM2.5 ranges from 75 to 86 μg/m³, and PM10 ranges from 87 to 99 μg/m³. The pollution hot spots throughout the year are located in the central, eastern and western parts of the study area. In terms of the relationship between the LCZ and particulate matter, with the increase in the particulate matter diameter, the correlation between the three kinds of particulate matter and LCZ are all enhanced. The built-up LCZ always has a larger average concentration of particulate matter than that of the natural LCZ, and building height and building density are the main factors causing the difference. In the optimal design of the risk area, the proportion of natural vegetation or water surface should be increased and the building height should be properly controlled and the building density should be reduced in the renewal of the urban building form. This study will largely improve the spatial refinement of the optimization of urban architectural patterns oriented to mitigate particulate matter pollution. [ABSTRACT FROM AUTHOR]

Amid rapid urbanization, shantytown redevelopment profoundly transforms urban environments and catalyzes substantial changes in social, economic, and family structures. Yet, most previous studies have focused narrowly on the outcomes of single residential mobility events, overlooking the complex dynamics that unfold across the pre-redevelopment, during-redevelopment, and post-redevelopment phases. This study investigates changes in family structure and their correlation with living space throughout all three phases of shantytown redevelopment in Heze City, Shandong Province, China, from 2016 to 2023. Collecting data through a community survey, we gathered 1035 valid responses to analyze family structure and residential characteristics. Our analysis, which included Sankey diagrams and cross-lagged panel models (CLPM), revealed a predominant trend of large families fragmenting into smaller nuclear units and demonstrated a significant positive correlation between family structure complexity (FSC) and living space. Notably, the FSC from a previous phase had a significant influence on the living space of the following phase, indicating lagged effects where housing choices are influenced by prior family structure. Further comparisons across different housing types and tenures during the temporary phase highlighted diverse structural changes among families. These insights are crucial for policymakers to refine urban redevelopment strategies, better meet residents' needs, and enhance the efficacy of policies. [ABSTRACT FROM AUTHOR]

In the sphere of urban renewal of historic districts, preserving and innovatively reinterpreting traditional architectural styles remains a primary research focus. However, the modernization and adaptive reuse of traditional buildings often necessitate changes in their functionality. To cater to the demands of tourism in historic districts, many traditional residential buildings require conversion to commercial use, resulting in a mismatch between their external form and their internal function. This study explored an automated approach to transform traditional residences into commercially viable designs, offering an efficient and scalable solution for the modernization of historic architecture. We developed a methodology based on diffusion models, focusing on a dataset of nighttime shopfront facades. By training a low-rank adaptation (LoRA) model and integrating the ControlNet model, we enhanced the accuracy and stability of the generated images. The methodology's performance was validated through qualitative and quantitative assessments, optimizing the batch size, repetition, and learning rate configurations. These evaluations confirmed the method's effectiveness. Our findings significantly advance the modern commercial style transformation of historical architectural facades, providing a novel solution that maintains the aesthetic and functional integrity, thereby fostering breakthroughs in traditional design thinking and exploring new possibilities for the preservation and commercial adaptation of historical buildings. [ABSTRACT FROM AUTHOR]

To address the problem of accurately evaluating age-friendly retrofit indicators in urban communities, this study constructs an evaluation model that takes into account user preferences and their interaction needs based on the social–ecological–technological systems (SETS) theory. The model aims to establish a set of precise community retrofit indicators, covering aspects such as public participation level, public ancillary facilities, green space layout, living environment building, health service support, and accessible design. By employing prioritization strategies, the model seeks to maximize resident satisfaction and promote harmonious coexistence between the community and the environment. Firstly, the retrofit evaluation indicators are formulated using the SETS theory. The entropy weight method (EWM) is then applied to determine the initial weights of these evaluation indicators, followed by the use of the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method to analyze the interrelationships among the indicators. The Kano model is integrated to adjust the weights, reflecting their importance. The final weights of the indicators are determined through normalization. Based on this, the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method is employed to rank and analyze the importance of age-friendly retrofits in the community. Finally, six communities in Dalian, Liaoning Province, China, are selected as samples to evaluate and analyze the age-friendly retrofit indicators. Different methods are compared, and their advantages and disadvantages are ranked to validate the effectiveness and feasibility of the proposed approach. Based on the analysis results, specific design schemes for improving the identified shortcomings in age-friendly aspects of these communities are proposed, considering the needs of aging populations and taking into account community public facilities, accessible design renovations, and the enhancement of green space layouts. This study aims to explore the comprehensive benefits of an age-friendly retrofit in urban communities and provide reference for the deep integration of social, ecological, and technological benefits in urban renewal. The evaluation indicators, methods, and conclusions presented can serve as a decision-making basis for the renovation and renewal of aging urban communities, particularly in terms of age-friendly updates. [ABSTRACT FROM AUTHOR]

Architectural design and urban renewal that adapt to an ageing society and are localized are urgent needs around the world. On the other hand, the concept of grey space, which refers to transitional space and is an in-between concept, has been proposed since the 1980s, but few studies have further explored its hierarchy, fluidity, and relationship with regional characteristics. Therefore, this study hopes to use the fluidity of the grey space hierarchy to solve the problem of design that adapts to an ageing society and preserves regional characteristics. This study mainly focuses on the spatial characteristics of Beitou Heart Village, summarizes five grey space hierarchies and fluidity modes, and finally designs social housing for young and old cohabitation in a bottom-up manner based on them, restoring local unique neighborhood care and multi-ethnic communication methods. There are three innovations in this study: (1) defining the division method of the grey space hierarchy; (2) exploring the richness and scalability of the grey space hierarchy in terms of fluidity; (3) using the grey space hierarchy to achieve neighborhood care and multi-ethnic communication, making social housing for urban renewal more people-oriented and retaining spatial regional characteristics. This paper may provide a theoretical foundation and practical help for grey-space-based design and urban renewal in the future. [ABSTRACT FROM AUTHOR]

Unlike in Western countries, land ownership in China is overwhelmingly vested in the state, and individuals cannot directly own private lands and build houses. Therefore, developers will contract the land to the government and build it into collective apartments. Against this backdrop, a different kind of multi-story, high-density self-built residential buildings is widespread in small towns along the southeast coast of China. These buildings were built between 1980 and 2000 by residents who acquired land-use rights from the government for compensation. The uniqueness of these buildings is what makes them incompatible with the most mainstream, government-led urban renewal model in China, resulting in a large area of dilapidated and aging areas. Zherong County, Ningde, Fujian Province, is a typical example town, with a large number of such self-built houses, known locally as Liu Houses. In this study, these residential areas were selected as typical research objects of "characteristics of residential small towns". Combined with the property rights of the sample cases, the methods of diagram and quantitative analysis are used to summarize the causes of the three types of residential areas from the aspects of regional planning, land division, building construction, and renovation. In the early days, the planning of the Liu House was greatly influenced by the residents, and the construction and renovation of the building was led by the residents, which strengthened the diversity of the style. In the middle period, the government had relatively dominant control over the planning of Liu Houses, and supervision was conducted during the construction and renovation process, resulting in a relatively balanced power between residents and the government. In the later period, the houses were built and operated by the developer, and the residents no longer directly participated in the construction and renovation, so the unity of style was strengthened. At the same time, the study finds that, in the process of the formation of the style of the residential area, on the one hand, the property rights directly affect the style through its own physical land attributes, and on the other hand, it becomes the basis of the game between the government, residents, and the county environment through its own property rights, thus indirectly affecting the style. In conclusion, this paper may provide theoretical support and design reference for the renewal of the characteristic features of residential small towns. [ABSTRACT FROM AUTHOR]

Improving street jogging environments can promote urban health and sustainability, especially within urban built-up areas. Public attention to the environment during jogging has not been sufficiently studied, and the recommended route data from the fitness app offers an opportunity for multiscale spatial exploration. Initially, by analyzing the recommendation reason text, the study identified 22 environmental factors and proposed the Environmental Factor Public Attention Intensity (EFPAI) for quantification, with subsequent comparisons to expert opinions. Further, by analyzing five types of data from the recommended routes, the relationships between EFPAI and jogging frequency, route shape, spatial distribution, and seasonal variations were uncovered. The study revealed: (1) discrepancies between expert opinions and public attention, with experts more likely to overlook factors such as slope, visual quality, width, and acoustic quality; (2) the public tends to notice factors like pedestrians, green spaces, waterfront spaces, landscapes, culture, sports facilities, and accessibility on routes with high jogging frequency; (3) EFPAI for traffic infrastructure, waterfront spaces, landscapes, residential areas, and campuses is associated with route shape; (4) EFPAI of certain environmental factors is influenced by urban geographical spatial factors, and substantial differences exist between different cities. Specific recommendations were provided from three different scales—site scale, street block scale, and urban scale—to guide the resolution of issues in planning and decision-making processes for urban renewal. [ABSTRACT FROM AUTHOR]

In response to the global demand for sustainable development in urban areas, there is an urgent need to enhance the ecological environment of urban areas. Urban renewal through sponge cities has become an effective method for achieving this goal. As one of the most dynamic elements in urban spaces, manhole covers play a crucial role in enhancing the city's image. To facilitate urban redevelopment effectively, improve the functionality of urban manhole covers, and promote sustainable urban development, this study explores ecological design factors for urban manhole covers, providing recommendations for future designs in China. Grounded on existing literature research and the urban redevelopment planning of the central district in Maanshan City, the FAHP method was used to determine the weights of five indicators containing environmental esthetics, ecological sustainability, intelligent detection, intelligent interaction, and safety, and scientifically constructed the ecological design and evaluation index system of intelligent grass pot manhole cover. The weighted average algorithm was used to obtain the index priority ranking, and the most critical elements were selected for design and refinement. The evaluation results indicate that safety, ecological sustainability, and the enhancement of the ecological design of intelligent manhole covers show the most significant improvement. The research outcomes can be used as a reference for enhancing urban ecological environments, promoting urban regeneration, and advancing sponge city construction. [ABSTRACT FROM AUTHOR]

The growing interest in building data management, especially the building information model (BIM), has significantly influenced urban management, materials supply chain analysis, documentation, and storage. However, the integration of BIM into 3D GIS tools is becoming more common, showing progress beyond the traditional problem. To address this, this study proposes data transformation methods involving mapping between three domains: industry foundation classes (IFC), city geometry markup language (CityGML), and web ontology framework (OWL)/resource description framework (RDF). Initially, IFC data are converted to CityGML format using the feature manipulation engine (FME) at CityGML standard's levels of detail 4 (LOD4) to enhance BIM data interoperability. Subsequently, CityGML is converted to the OWL/RDF diagram format to validate the proposed BIM conversion process. To ensure integration between BIM and GIS, geometric data and information are visualized through Cesium Ion web services and Unreal Engine. Additionally, an RDF graph is applied to analyze the association between the semantic mapping of the CityGML standard, with Neo4j (a graph database management system) utilized for visualization. The study's results demonstrate that the proposed data transformation methods significantly improve the interoperability and visualization of 3D city models, facilitating better urban management and planning. [ABSTRACT FROM AUTHOR]

With the increase in global extreme climate events, the frequency of urban waterlogging caused by extreme rainstorms is increasing, resulting in serious economic losses and risk to local residents. Understanding the influence of impervious surfaces on urban waterlogging is of great significance for reducing urban waterlogging disasters. Based on InfoWorks ICM, the urban waterlogging model of Lin'an City was established, and the multi-scenario design method was used to analyze the characteristics and causes of urban waterlogging under different designed rainfall return periods. The results show that the maximum stagnant water depth and area are positively correlated with the proportion of impervious surfaces and rainfall return periods. In addition, urban waterlogging is related to the fragmentation of impervious surfaces, pipeline network, and so on. Based on the findings, it is suggested that impervious surfaces should be placed upstream and along roads where feasible. It is also recommended that the aggregation of impervious surfaces is minimized to prevent urban waterlogging. The results provide technical support and reference for local governments to prevent waterlogging disasters. [ABSTRACT FROM AUTHOR]

Buildings are significant components of digital cities, and their precise extraction is essential for the three-dimensional modeling of cities. However, it is difficult to accurately extract building features effectively in complex scenes, especially where trees and buildings are tightly adhered. This paper proposes a highly accurate building point cloud extraction method based solely on the geometric information of points in two stages. The coarsely extracted building point cloud in the first stage is iteratively refined with the help of mask polygons and the region growing algorithm in the second stage. To enhance accuracy, this paper combines the Alpha Shape algorithm with the neighborhood expansion method to generate mask polygons, which help fill in missing boundary points caused by the region growing algorithm. In addition, this paper performs mask extraction on the original points rather than non-ground points to solve the problem of incorrect identification of facade points near the ground using the cloth simulation filtering algorithm. The proposed method has shown excellent extraction accuracy on the Urban-LiDAR and Vaihingen datasets. Specifically, the proposed method outperforms the PointNet network by 20.73% in precision for roof extraction of the Vaihingen dataset and achieves comparable performance with the state-of-the-art HDL-JME-GGO network. Additionally, the proposed method demonstrated high accuracy in extracting building points, even in scenes where buildings were closely adjacent to trees. [ABSTRACT FROM AUTHOR]

Construction waste is an inevitable byproduct of urban renewal, causing severe pressure on the environment, health, and ecology. Accurately estimating the production of construction waste is crucial for assessing the consumption of urban renewal. However, traditional manual estimation methods rely heavily on statistical data and historical experience, which lack flexibility in practical applications and are time-consuming and labor-intensive. In addition, their accuracy and timeliness need to be improved urgently. Fortunately, with the advantages of high-resolution remote sensing images (HRSIs) such as strong timeliness, large amounts of information, and macroscopic observations, they are suitable for the large-scale dynamic change detection of construction waste. However, the existing deep learning models have a relatively poor ability to extract and fuse features for small and multi-scale targets, and it is difficult to deal with irregularly shaped and fragmented detection areas. Therefore, this study proposes a Multi-scale Target Attention-Enhanced Network (MT-AENet), which is used to dynamically track and detect changes in buildings and construction waste disposal sites through HRSIs and accurately estimate the annual production of urban construction waste. The MT-AENet introduces a novel encoder–decoder architecture. In the encoder, ResNet-101 is utilized to extract high-level semantic features. A depthwise separable-atrous spatial pyramid pooling (DS-ASPP) module with different dilation rates is constructed to address insufficient receptive fields, resolving the issue of discontinuous holes when extracting large targets. A dual-attention mechanism module (DAMM) is employed to better preserve positional and channel details. In the decoder, multi-scale feature fusion (MS-FF) is utilized to capture contextual information, integrating shallow and intermediate features of the backbone network, thereby enhancing extraction capabilities in complex scenes. The MT-AENet is used to extract buildings and construction waste at different periods in the study area, and the actual production and landfill volume of construction waste are calculated based on area changes, indirectly measuring the rate of urban construction waste resource conversion. The experimental results in Changping District, Beijing demonstrate that the MT-AENet outperforms existing baseline networks in extracting buildings and construction waste. The results of this study are validated according to government statistical standards, providing a promising direction for efficiently analyzing the consumption of urban renewal. [ABSTRACT FROM AUTHOR]

Street space plays a crucial role in human activity and social life, forming an essential component of a livable and sustainable built environment. Consequently, its quality has garnered significant attention from researchers, designers, and policymakers who aim to achieve precise assessments of street infrastructure and conditions. This study presents a multi-dimensional framework for evaluating street space, considering factors such as access frequency, environmental quality, and amenity richness. By utilizing city-level path planning data, street view imagery, point of interest data, and social media check-in data, this framework assesses each street and assigns scores across these dimensions. These scores facilitate a human-centered analysis of the disparities in street usage and quality. The aggregation of results by administrative regions supports effective policy formulation and implementation. Application of this framework in Xi'an, China, reveals that only 6.95% of frequently visited streets exhibit high environmental quality and functional richness. This study underscores the potential of leveraging public data for detailed street space assessments to inform urban renewal policies. [ABSTRACT FROM AUTHOR]

Multidimensional integrated indicators have become extremely popular for ranking territorial units and comparing them in terms of performance, development and quality of life. The concept of sustainability is not exempt from this global phenomenon. Recognizing the ecosystem services (ES) framework as a tool to drive urban and landscape regeneration toward sustainability, we propose a ranking based on ES multifunctionality. Adopting this approach allows for pursuing different goals on several time frames: to enhance the policy–science interface in the short term; to mainstream ES values in the governance of green transition in the medium term; and to improve sustainability performance in the long term. Based on a spatially explicit assessment of a relevant set of ES variables, we mapped the multiple ecosystem services landscape index (MESLI) and compared the results with the main Italian cities rankings, demonstrating how the ranking tool brings heterogeneous results with relevant differences in assessing territorial features. The conclusions highlight the potential of such a ranking in order to address sustainability thinking in regeneration processes. [ABSTRACT FROM AUTHOR]

China's rapid urbanization drive, marked by extensive urban renewal projects, necessitates a meticulous examination of their transformational impact on the human settlement environment (HSE) across urban landscapes. This study investigates the impact of China's urban renewal progress on the spatial–temporal changes in the HSE from 2009 to 2019, using data from 40 prefecture-level cities in the Yangtze River Delta. Our findings reveal an overall positive relationship between the spatio–temporal evolution of urban renewal and the HSE, suggesting that urban renewal projects have had a beneficial impact, particularly following the announcement of China's New Urbanization policy in 2014. However, the extent of this positive impact varied among different areas, with more significant improvements observed in core cities and economically developed areas. Additionally, our study uncovered significant variations in how urban renewal influenced the HSE over time. We found that the primary influencing factor shifted from material renewal to industrial renewal. These findings offer valuable insights for improving the HSE during urban renewal processes, both in China and other regions undergoing rapid urbanization. [ABSTRACT FROM AUTHOR]

In the context of urban development, bridging the gap between urban regeneration and people's demand for high-quality built environments is a current focus of research. Exploring the vitality of certain kinds of urban districts is imperative for comprehending human needs for specific built environments and fostering urban renaissance and advancement. This urgency arises from the prevailing lack of in-depth studies on district vitality, as current research primarily provides a general assessment of street vitality. Thus, this study aims to explore the correlations between indicators of urban vitality in cultural districts and built environments, using Haikou and Suzhou as case studies and employing multiple data sources (e.g., Baidu heat maps and nighttime light) and measurements. By applying a logit regression model, we find the following: (1) Traffic network integration has a positive impact on daytime vitality in Haikou and nighttime vitality in Suzhou, but it negatively affects nighttime vitality in Haikou. (2) In terms of nighttime vitality, both commercial density and greenery positively influence the overall blocks and various subgroups. (3) The proportion of cultural facilities in Suzhou has a detrimental effect on daytime vitality, especially for blocks with fewer permanent residents and lower land values. The present study, while limited to selected cultural blocks in Suzhou and Haikou, establishes the groundwork for a better comprehension of how spatial vitality can be enhanced at the street segment level, thereby contributing to the investigation of the varying impacts that built environment factors have on urban vitality in tourism cities at different stages of development. It uncovers the inherent latent characteristics found within cultural blocks across diverse regions and offers innovative perspectives and recommendations for optimizing the sustainable development of urban blocks. [ABSTRACT FROM AUTHOR]

As the quality of public space has become significant for urban development, the creation of high-quality public spaces is becoming increasingly important. Since the implementation of urban renewal policies, an increasing number of buildings have emerged, creating new types of public spaces. Compared to original public spaces, new public spaces are more open, flexible, and diverse. The design of public spaces is closely related to users and the flâneur can precisely serve as a user and observer to conduct in-depth research. So, our study was conducted under the identity of the flâneur, focusing on two cases in Guangzhou. The flâneur completes the data collection through two methods. Static research involves observing and taking photos, whereas dynamic research involves interviews and questionnaires. This study analysed three aspects: the group category, behavioural diversity, and activity time and evaluated the public space using the NPS scale. The study found that the recommendation rate of new urban public spaces is higher than that of original public spaces. The study also found that original public spaces need to be improved in four ways: equipping furniture facilities, improving traffic congestion, increasing blue-green spaces, and establishing artistic spaces. New urban public spaces need to make efforts to create more interactive spaces and increase stagnation points. [ABSTRACT FROM AUTHOR]

Urban land use provides essential information about how land is utilized within cities, which is critical for land planning, urban renewal, and early warnings for natural disasters. Although existing studies have utilized multi-source perception data to acquire land use information quickly and at low cost, and some have integrated urban morphological indicators to aid in land use identification, there is still a lack of systematic discussion in the literature regarding the potential of three-dimensional urban morphology to enhance identification effectiveness. Therefore, this paper aims to explore how urban three-dimensional morphology can be used to improve the identification of urban land use types. This study presents an innovative approach called the UMH–LUC model to enhance the accuracy of urban land use identification. The model first conducts a preliminary classification using points of interest (POI) data. It then improves the results with a dynamic reclassification based on floor area ratio (FAR) measurements and a variance reclassification using area and perimeter metrics. These methodologies leverage key urban morphological features to distinguish land use types more precisely. The model was validated in the Pearl River Delta urban agglomeration using random sampling, comparative analysis and case studies. Results demonstrate that the UMH–LUC model achieved an identification accuracy of 81.7% and a Kappa coefficient of 77.6%, representing an 11.9% improvement over a non-morphology-based approach. Moreover, the overall disagreement for UMH–LUC is 0.183, a reduction of 0.099 compared to LUC without urban morphology and 0.19 compared to EULUC-China. The model performed particularly well in identifying residential land, mixed-use areas and marginal lands. This confirms urban morphology's value in supporting low-cost, efficient land use mapping with applications for sustainable planning and management. [ABSTRACT FROM AUTHOR]

Residential historic areas are currently the main focus of urban renewal efforts in China, primarily consisting of traditional residential buildings with similar characteristics. Hence, the visual coherence of buildings (VCoB) plays a crucial role in such areas, not only pertaining to the visual quality of the urban landscape but also regarding the preservation of historic features. The accurate measurement of the VCoB is a prerequisite for undertaking optimization efforts. However, discussions of the VCoB in the built environment are limited and seldom address residential historic areas, and methods for measuring the VCoB have yet to be refined. Therefore, taking the Xiaoxihu Historic Area in Nanjing as a case study, this work aimed to develop a more refined method for measuring the VCoB in residential historic areas based on objective physical features. The method is mainly based on the human-level perspective, identifying three key visual elements within this perspective as the objects of measurement. It collected visual data through photography, with deep learning and computer graphics processing tools being utilized to identify and extract the visual elements. Then, the study established a corresponding framework of indicators for different visual elements and optimizes the methods for indicator calculation. Through an assessment involving professionals, we validated the high accuracy of the measurement method proposed in this study. Furthermore, the study discusses factors affecting the VCoB, methods to enhance the VCoB, and the required degree of the VCoB based on the results of the measurement. The method developed in this research will provide support for the visual analysis of the urban built environment and urban renewal practices. [ABSTRACT FROM AUTHOR]

Urban surfaces play a crucial role in shaping the Urban Heat Island (UHI) effect by absorbing and retaining significant solar radiation. This paper explores the potential of high-resolution satellite imagery as an alternative method for characterizing urban surfaces to support UHI mitigation strategies in urban redevelopment plans. We utilized Landsat images spanning the past 40 years to analyze trends in Land Surface Temperature (LST). Additionally, WorldView-3 (WV3) imagery was acquired for surface characterization, and the results were compared with ground truth measurements using the ASD FieldSpec 4 spectroradiometer. Our findings revealed a strong correlation between satellite-derived surface reflectance and ground truth measurements across various urban surfaces, with Root Mean Square Error (RMSE) values ranging from 0.01 to 0.14. Optimal characterization was observed for surfaces such as bituminous membranes and parking with cobblestones (RMSE < 0.03), although higher RMSE values were noted for tiled roofs, likely due to aging effects. Regarding surface albedo, the differences between satellite-derived data and ground measurements consistently remained below 12% for all surfaces, with the lowest values observed in high heat-absorbing surfaces like bituminous membranes. Despite challenges on certain surfaces, our study highlights the reliability of satellite-derived data for urban surface characterization, thus providing valuable support for UHI mitigation efforts. [ABSTRACT FROM AUTHOR]

The urban texture is the physical manifestation of the urban form's evolution. In the rapid process of urbanization, protecting and reshaping the urban texture has become an essential means to sustain the overall form and vitality of cities. Previous studies in this field have primarily relied on image analysis or typological methods, lacking a quantitative approach to identify and analyze the urban texture on a large scale. Moreover, the hierarchical structure and networked organization of the urban texture are gradually being elucidated and emphasized. This study takes a complex network perspective and applies percolation theory to identify and analyze the urban texture. The hierarchical evolutionary characteristics of the urban fabric and the underlying mechanisms driving the scale-dependent differences are analyzed, and the toughness of the urban texture is evaluated based on hierarchical connections. The research findings reveal the key scale in the cross-scale evolution of urban textures, with variations in scale dependence and hierarchical evolution characteristics among different types of urban texture. The traditional urban texture displays sensitivity to scale changes, maintaining its integrity and internal connectivity at small scales. On the other hand, the texture characteristics of modern and contemporary urban areas are only discernible at larger scales. The emergence of large-scale texture clusters at specific scale levels can be explained using multiple index systems. This study has reference significance for the preservation and renewal of the urban fabric in urban renewal processes. [ABSTRACT FROM AUTHOR]

This research investigates environmental inequalities within Guangzhou's Huangpu District against the backdrop of rapid urbanisation and industrial expansion in Asia. This study identifies environmental hotspots, particularly in socially vulnerable areas characterised by high industrial density, using a vulnerability framework and analysing census and pollution data. Utilising satellite imagery, urban planning documents, and field research, we delve into the internal environmental conflicts arising from industrial land use. Our findings reveal how diverse stakeholders, guided by their rationales and interests, collectively contribute to spatial inequalities within a market-driven context. Importantly, we emphasise that environmental inequality transcends mere conflicts of interest among stakeholders and is fundamentally shaped by the prevailing market-oriented spatial development model in peri-urban areas. This model results in urban segmentation, socio-economic stratification, and an uneven distribution of environmental risks and resources. Our study advocates for a paradigmatic shift in China's peri-urban spatial development and the integration of environmental protection and social equity alongside economic growth. We recommend moving away from short-term speculative practices and promoting long-term, community-engaged urban renewal strategies that harmonise economic progress with improved living standards and environmental sustainability. [ABSTRACT FROM AUTHOR]

Urban regeneration and spatial planning have adopted a new participatory approach in recent decades, highlighting the importance of integrating the community in urban decision-making processes, especially in disadvantaged and socially excluded areas. In this context, the sociogram emerges as an essential tool for collaborative governance, allowing the visualization and analysis of the dynamics between the different actors involved. This study employs a comparative case study approach in three disadvantaged neighbourhoods in Córdoba, Spain, to examine how the sociogram can facilitate more effective and democratic participation in urban planning. Using heat maps, scatter plots and average analysis, relationships between actors are identified and characterized, providing a solid basis for more inclusive and equitable planning decisions. This analysis not only reveals the practical utility of the sociogram in participatory research but also underscores its theoretical relevance in building resilient and cohesive communities. Findings confirm the sociogram's effectiveness in mapping stakeholder dynamics and enhancing participatory governance, ultimately fostering more informed and inclusive urban planning processes. [ABSTRACT FROM AUTHOR]

Urban regeneration is a sound, sustainable urban development strategy globally. In China, promoting urban regeneration has become the national sustainable urban strategy. Under the resource constraint, it is necessary to understand what benefits different types of urban regeneration projects can contribute to urban development. Much research has contributed to evaluating the benefits of urban regeneration on the project scale. The systematic investigation of their effects on surrounding economic vitality, especially the comparison between different types of projects, is relatively downplayed. This paper aims to evaluate and compare the effects of urban regeneration projects on surrounding economic vitality by calculating the change in housing prices. Chongqing is selected as the case city. Based on the housing transaction data from 2015 to 2021, a staggered difference-in-difference method is employed to capture the results. The finding shows that the overall effects are significantly negative, especially within a 400–800 m radius. Higher investment or better project location relates to stronger negative effects. Moreover, the differences in effects among the three types of urban regeneration projects are clearly revealed from diverse perspectives. It provides a valuable reference for policymakers and urban planners to make urban regeneration planning better by considering comprehensive benefits. [ABSTRACT FROM AUTHOR]

Industrial heritage is regarded as an important stock of spatial resources in cities, which highlights its utilization value for urban regeneration in high-density urban areas. With the dramatic increase in the number of industrial heritage reuse projects, how to scientifically evaluate the satisfaction with their spatial reuse is a key part of the solution for the mutual balance between heritage preservation and urban renewal. This paper takes eight industrial heritage conversion and utilization projects in the high-density core area of Beijing's central city as examples; establishes an evaluation system for the satisfaction with the spatial reuse through six dimensions, namely, functional replacement, transportation accessibility, carrying capacity, public space, boundary form, and recognition of value; and uses the IPA method to evaluate the cases. This method is used to determine the degree of user satisfaction with the spatial reuse of industrial heritage in the core area of Beijing's central city and to summarize the advantages and problems of its reuse. The results of this study reveal a trend toward the "community-oriented" re-generation of industrial heritage in the core area of Beijing's central city, and this paper proposes recommendations for adaptive use to support high-quality urban regeneration work. [ABSTRACT FROM AUTHOR]

The urban renewal (UR) process involves various stakeholders and related activities, and the various risks arising from this endeavor can affect these stakeholders. Additionally, the impact of adverse factors such as policy discontinuity and inequitable distribution of benefits among stakeholders can easily result in collective tensions or conflicts, as well as the gradual emergence of potential social frictions and confrontations. These social risks (SRs) not only impede the smooth execution of urban renewal projects but also pose challenges to social harmony and stability. Hence, to mitigate and control the SRs in the UR process (URSRs) and ensure the successful implementation of effective and sustainable UR projects, it is of paramount importance to gain a comprehensive understanding of the occurrence and evolution mechanisms of these SRs. Although existing studies have touched upon the influence of stakeholder conflicts on URSRs, there remains a lack of systematic examination of the evolution mechanisms of these risks from the perspective of stakeholder theory. The resulting fragmented and specialized comprehension of URSRs has hindered the effectiveness of risk governance strategies. This study adopts stakeholder theory to analyze the potential sources of risk throughout the entire UR process. By considering the conflicts of interests among stakeholders, a systematic analysis of the evolution mechanisms of URSRs is explored and targeted governance recommendations for URSRs are proposed. [ABSTRACT FROM AUTHOR]

The process of urbanization has accelerated economic growth while also presenting social challenges. Urban renewal is crucial for achieving sustainable urban development, especially by preserving traditional villages as cultural heritage sites within cities. This study employs Python algorithm programming and visual analysis functions to conduct a bibliometric analysis of 408 research papers on the preservation of traditional village cultural heritage in urban renewal from 1999 to 2023 in the Web of Science core database. The objective is to examine the historical background, current status, and future trends in this area. The analysis explores cooperation networks, co-citation relationships, co-occurrence patterns, and emerging characteristics of research on traditional village cultural heritage protection in urban renewal. It focuses on various aspects, such as authors, institutions, countries, journals, documents, and keywords. The results indicate that the study of traditional village cultural heritage protection in urban renewal can be divided into three developmental stages. "Sustainable development", "cultural heritage", "historic urban landscapes", and "rural revitalization" are the research hotspots and future trends in this field. The results of this study provide a comprehensive overview of the evolution of research hotspots in this field and can help researchers willing to work in this research area quickly understand the research frontiers and the general situation. [ABSTRACT FROM AUTHOR]