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Urban vitality is a core feature of sustainable cities and neighborhoods. Acknowledging the significant role of the spatial and physical attributes of built urban landscapes in influencing urban vitality, scholars and planners in the field of urban studies have meticulously examined the relationship between urban morphology and variations in urban vitality. While most previous studies have primarily focused on a narrow range of factors when analyzing urban form, often neglecting its multifaceted nature, this study utilizes urban morphometrics using Python's Momepy library to offer a comprehensive typology. It integrates diverse urban components from individual buildings and streets to entire neighborhoods into a unified, holistic framework, providing a more integrated understanding of urban form's influence on urban vitality. Our spatial econometric models identified higher building floor areas, taller and narrower streetside buildings, diversely aged buildings, and higher building coverings on lots as favorable urban form settings for urban vitality. Measuring urban morphology with advanced methods and identifying their relationship to urban vitality provides insightful implications for urban planners and designers for creating vibrant cities and neighborhoods. Practical Applications: This study utilizes advanced methods to assess the design and layout of cities and neighborhoods and analyzes their effects on urban vitality. The Momepy Python package is used in this study to capture urban form in terms of size, density, layout, diversity, and connectedness. This study measures how diverse urban morphologies affect the variation of urban vitality captured by mobile phone data. This study introduces an integrated approach that identifies spatial relationships between buildings and street networks into a comprehensive framework. This holistic approach can suggest effective strategies for decision-making by urban planners and policymakers to create livable and sustainable cities and neighborhoods. Moreover, this study reveals how the effects of the urban morphology on urban vitality vary depending on the time of day and day of the week. The core findings suggest that urban planners and designers should consider spatial configurations of buildings and streets as well as residents' behavior over time. [ABSTRACT FROM AUTHOR]

The increase in urban population growth has contributed to the expansion of unplanned settlements, especially in developing countries. Triggered by the lack of government oversight, the expansion of these settlements is characterized by unique economic, social, physical, and functional attributes. This study aims at exploring the physical features of unplanned settlements in District 4th of Herat city, western Afghanistan. Employing a mixed-research method, we integrated spatial analysis using Geographic Information Systems (GIS) into detailed field observations to get a better understanding of the characteristics of the formation of these informal settlements. Our findings shed light on a number of key physical features including irregular street layouts, inadequate drainage systems, and substandard construction materials, irregular buildings in term of layout, number of floors, and building density. The features of unplanned urban morphology contribute to socio-economic loss and environmental degradation due to the absence of critical infrastructures including water infrastructures and the presence of unplanned streets in under-resourced unplanned settlements. In fact, the absence of government's efforts in monitoring the development of unplanned settlements hinders the provision of essential services and infrastructures in the informal settlement communities. Our assertion is that the findings of this research will help policy makers in Afghanistan to reconsider their policies and decisions on urban development and growth, particularly in the poorer and under-served unplanned settlements in major cities in Afghanistan. [ABSTRACT FROM AUTHOR]

The relationship between green and grey urban infrastructure, local meteorological conditions, and traffic-related air pollution is complex and dynamic. This case study examined the effect of evolving morphologies around a city square park in Dublin and explores the twin impacts of local urban development (grey) and maturing parks (green) on particulate matter (PM) pollution. A fixed air quality monitoring campaign and computational fluid dynamic modelling (ENVI-met) were used to assess current (baseline) and future scenarios. The baseline results presented the distribution of PM in the study area, with bimodal (PM2.5) and unimodal (PM10) diurnal profiles. The optimal vegetation height for air quality within the park also differed by wind direction with 21 m vegetation optimal for parallel winds (10.45% reduction) and 7 m vegetation optimal for perpendicular winds (30.36% reduction). Increased building heights led to higher PM2.5 concentrations on both footpaths ranging from 25.3 to 37.0% under perpendicular winds, whilst increasing the height of leeward buildings increased PM2.5 concentrations by up to 30.9% under parallel winds. The findings from this study provide evidence of the importance of more in-depth analysis of green and grey urban infrastructure in the urban planning decision-making process to avoid deteriorating air quality conditions around city square parks. [ABSTRACT FROM AUTHOR]

Social inequity is a global problem that often acutely materialises in cities, where people with lower incomes have reduced access to open spaces. This article examines how walkable access to open spaces mediated by urban morphology and topography differs for people with contrasting income profiles. Taking Lima as a case study, the spatial analysis adapted GIS tools to consider the steep slopes of informal settlements. The combined mapping and measuring of open space catchments and urban fabric permeabilities shows significant spatial inequities between low- and high-income residents that could not have been captured through traditional spatial analytical methods. [ABSTRACT FROM AUTHOR]

Beijing is a typical traditional city in China, originating from the uniform and conventional grid plan, but transformed diversely, either on purpose or spontaneously. This research took the diversification process of grid blocks as an angle to understand the transformation process of Beijing's urban morphology. It took 194 grid blocks within the 3rd Ring Road of Beijing as research objects. First, the paper proposed a whole view of Beijing's grid blocks by 1) visualizing their construction process, 2) classifying 5 morphological clusters by 7 indicators (Block size, Block shape regularity, Intensity, Coverage, Network density, Plot shape regularity, Standard deviation of plot size), and 3) investigating their distribution. Second, the diversification process of grid blocks was clarified from two layers: the block-boundary layer and the inner-space layer. Finally, the mechanism of block form diversification was clarified by exploring the connections between elements in each layer, and the influence of urban development on block form transformation. The study re-defined the diversification process in a more quantitative way from both time and spatial dimension. It concluded that the diversification is influenced by changes in urban planning principles and locations, and emerged thorough the long-term transformation and re-subdivision. The interaction between the boundary and the inner space stimulates the diversification. And based on these, it concluded with a discussion of limitations and potentials on grid blocks' construction and renovation. [ABSTRACT FROM AUTHOR]

Bazaars are considered essential components of a society's economy and significant features in the urban context of cities, which have emerged based on exchanging goods and meeting people's needs. Since the late Qajar period, amidst the rapid changes resulting from interaction with modernization, the form of Tabriz Grand Bazaar has undergone significant changes. The research aims to explain the contemporary transformations of marketplace form in the leather and shoe sectors. The objectives aim to elucidate the contemporary physical, functional, and sementic changes and propose strategies. The research method is qualitative, with a phenomenological approach. The results indicate that the Bazaar has lost some physical and sementic functions. Despite providing goods, it has failed to meet the public's demands because of eliminating production workshops by changing the productive function to service-oriented and the size and shape of spaces. The decline of religious activities is also one reason for the diminished sementic dimension. Regarding functional and physical aspects, some proposed solutions include preserving the authenticity of the spaces and utilizing suitable Functions with the dominant architectural style. Regarding sementic characteristics, suggestions include enhancing the sense of identity. [ABSTRACT FROM AUTHOR]

Mass housing estates are one of the main urban landscapes associated with postwar urban development in Western cities. Despite their historic and cultural value, they often suffer from urban obsolescence and require regeneration. Contrasting with the uniformity and similarity they were designed with, these such housing estates have evolved along disparate trajectories since their initial construction 50 years ago. Thus, based on a study using the UR-Hesp methodology to evaluate spatial accessibility—and how it reflects urban quality—in this paper, we employ a retrospective approach to discuss some key ideas regarding urban design strategies for housing estate upgrades. To explore the role of street network spatial accessibility in housing estate evolution, we evaluate where housing estates are located within their urban or metropolitan area (global integration), their relationship with their surrounding area (permeability) and the capacity of their inner spatial structures to promote pedestrian movement (local choice). The study involved 28 mass housing estates in the Spanish cities of Madrid, Barcelona and Zaragoza. [ABSTRACT FROM AUTHOR]

The three-dimensional morphological analysis of urban buildings constitutes a pivotal component of urban planning and sustainable development. Nevertheless, the majority of current research is two-dimensional in nature, which constrains the comprehensive understanding of urban spatial–temporal evolution. The existing body of three-dimensional studies frequently fails to consider the temporal dimension of architectural change and lacks a detailed examination of micro areas such as communities and streets. In order to accurately identify the patterns of spatial–temporal evolution in urban architectural morphology, this study focuses on the Yau Tsim Mong District in Hong Kong, utilizing three-dimensional data. By innovatively integrating temporal factors, constructing a spatial–temporal weight matrix, and applying the spatial–temporal Moran's I, this study conducts an in-depth quantitative analysis of Coverage, Staggeredness, and Duty Cycle at the community scale, neighborhood scale, and urban scale. From 2014 to 2023, the global spatial–temporal Moran's I of key urban morphology indicators in Yau Tsim Mong District has exhibited a marked increase, underscoring the close interrelationship and significant optimization between urban morphology and overall development. The findings illustrate that urban architecture is undergoing a process of agglomeration and high homogeneity, with strategic shifts emphasizing efficient spatial utilization and refined design. The analysis at the neighborhood scale is of particular importance, as its independent and complete spatial structure effectively captures local dynamics, revealing high-value agglomeration and low-value dispersion characteristics. This suggests that buildings in the Yau Tsim Mong District are being constructed in a more compact manner at the neighborhood level, which reflects the precision and efficiency of urban planning and the rationality of spatial planning. These significant findings provide valuable references for the development planning and governance of sustainable cities. They enhance urban governance capabilities and promote the optimization of urban development strategies, ensuring steady progress on the path of efficiency, harmony, and sustainability. [ABSTRACT FROM AUTHOR]

In recent years, the conflict between human activities and the natural environment has led to global warming and the emergence of extreme weather events, prompting reflection on the climate adaptability of buildings. Historical and cultural districts often reflect the design and construction strategies of their era, which were shaped by the prevailing social environments and natural conditions, so they typically embody construction techniques tailored to address local climatic characteristics. Consequently, in this paper, we focus on 33 historic and cultural districts within Beijing's old city, along with seven proposed historic and cultural districts, to retrieve land surface temperatures (LST) using Landsat remote sensing data and radiative transfer equations. A spatiotemporal analysis was conducted to investigate the variations in LST distribution across different historic and cultural districts and to characterize the internal temperature features within the historic and cultural districts of Beijing's old city. Research indicates the following: (1) The Dashilan area boasts the highest average LST, while the Huangcheng area records the lowest. (2) Over the past six years, most historic and cultural districts have experienced a decline in LST. Notably, the most significant reductions in average LST have been observed in the areas west of Xinjiekou, Dongsi South, and from the 3rd to the 8th Street in Dongsi. (3) Within the historic and cultural districts, hot spots of LST are primarily concentrated in the residential areas with one-story traditional houses, while cold spots are predominantly found around water, cultural relics, and modern architectural structures. [ABSTRACT FROM AUTHOR]

The study of the factors affecting the heat island effect was significantly influenced by the effect of the modifiable areal unit problem (MAUP), which led to uncertainty in the results. Taking the main urban area of Wuhan City as an example, we constructed a multidimensional urban spatial morphology index system based on multi-source spatial data of urban land use and buildings, explored the response characteristics of geographic detectors to the modifiable areal unit problem (MAUP) effect, analyzed the driving forces and factors of the spatial differentiation of urban thermal environment, proposed optimal regulation strategies to mitigate urban surface thermal environment. The results show that MAUP has strong sensitivity to the detection results of urban heat island effect factors, and different research units and partitioning methods will affect the research results. Factor detection analysis shows that the explanatory power of 3D spatial morphological indicators on urban heat island effect is greater than that of 2D urban land use indicators, and building density is the dominant driver of spatial differentiation of surface thermal environment. The interaction detection analysis shows that the spatial differentiation of the surface thermal environment in the main urban area of Wuhan is a synergistic process between different influencing factors, and the interaction between two-dimensional indicators and between two-dimensional and three-dimensional indicators is significantly greater than the single-factor effect. The study of the spatial differentiation of urban spatial morphology on the surface thermal environment provides theoretical support for the coordinated optimization of multi-dimensional urban spatial morphology to mitigate the heat island effect. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Natural Hazards & Environment (JNHE) / Doğal Afetler ve Çevre Dergisi (DACD) is the property of Artvin Coruh University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Urbanization and climate change have led to rising urban temperatures, increasing heat-related health risks. Assessing urban heat risk is crucial for understanding and mitigating these risks. Many studies often overlook the impact of block types on heat risk, which limits the development of mitigation strategies during urban planning. This study aims to investigate the influence of various spatial factors on the heat risk at the block scale. Firstly, a GIS approach was used to generate a Local Climate Zones (LCZ) map, which represents different block types. Secondly, a heat risk assessment model was developed using hazard, exposure, and vulnerability indicators. Thirdly, the risk model was demonstrated in Guangzhou, a high-density city in China, to investigate the distribution of heat risk among different block types. An XGBoost model was used to analyze the impact of various urban spatial factors on heat risk. Results revealed significant variations in heat risk susceptibility among different block types. Specifically, 33.9% of LCZ 1–4 areas were classified as being at a high-risk level, while only 23.8% of LCZ 6–9 areas fell into this level. In addition, the pervious surface fraction (PSF) had the strongest influence on heat risk level, followed by the height of roughness elements (HRE), building surface fraction (BSF), and sky view factor (SVF). SVF and PSF had a negative impact on heat risk, while HRE and BSF had a positive effect. The heat risk assessment model provides valuable insights into the spatial characteristics of heat risk influenced by different urban morphologies. This study will assist in formulating reasonable risk mitigation measures at the planning level in the future. [ABSTRACT FROM AUTHOR]

In the context of the current information age, leveraging Earth observation (EO) technology and spatial analysis methods enables a more accurate understanding of the characteristics of small towns. This study conducted an in-depth analysis of the urban morphology of small towns in the Qinba Mountain Area of Southern Shaanxi by employing large-scale data analysis and innovative urban form measurement methods. The U-Net3+ model, based on deep learning technology, combined with the concave hull algorithm, was used to extract and precisely define the boundaries of 31,799 buildings and small towns. The morphological characteristics of the town core were measured, and the core areas of the small towns were defined using calculated tessellation cells. Hierarchical clustering methods were applied to analyze 12 characteristic indicators of 89 towns, and various metrics were calculated to determine the optimal number of clusters. The analysis identified eight distinct clusters based on the towns' morphological differences. Significant morphological differences between the small towns in the Qinba Mountain Area were observed. The clustering results revealed that the towns exhibited diverse shapes and distributions, ranging from irregular and sparse to compact and dense forms, reflecting distinct layout patterns influenced by the unique context of each town. The use of the morphometric method, based on cellular and biological morphometry, provided a new perspective on the urban form and deepened the understanding of the spatial structure of the small towns from a micro perspective. These findings not only contribute to the development of quantitative morphological indicators for town development and planning but also demonstrate a novel, data-driven approach to conventional urban morphology studies. [ABSTRACT FROM AUTHOR]

The urban radio‐frequency (RF) noise generated by our cities continues to change with time. Although models exist to describe the RF noise as functions of frequency and urban land use types, very few models describe the spatial character or structure of the noise on the scales of city blocks (50–150 m). The goal of this work is to investigate the connection between urban morphology and the higher‐order spatial statistics of the noise field. To achieve this goal, a large measurement campaign was conducted in Boston, Massachusetts. Many spatial measurements allowed for calculation of spatial correlation functions of noise power in three different neighborhoods, which were used to quantify the spatial structure of the fields. A statistical point source model is then developed, with adjustable parameters relating to urban morphology. Good agreement between the model and the experimental correlation functions suggests the 25 MHz urban noise field is well described by a random network of fixed point sources, radiating with a 1/r power law behavior. Plain Language Summary: Our modern cities are filled with electronic devices. Each device can emit radiation and contribute to what is called the urban radio‐frequency noise field. The noise field is the combined effect from all these devices. If the noise field is strong enough it can negatively impact wireless communication, and the use of other electric devices. It is important to better understand the nature of the noise field in order to mitigate and plan for its negative effects. This paper describes in detail how the noise field is distributed in space, or its spatial structure. A theoretical model or tool is developed to help predict how the noise field looks spatially. Key Points: Radio‐frequency noise spatial correlation functions were calculated for three different neighborhoods in Boston, MassachusettsGood theoretical agreement suggests the noise field is well described by a random network of point sources radiating with a 1/r behavior [ABSTRACT FROM AUTHOR]

Copyright of Revista de Arquitectura (1657-0308) is the property of Universidad Catolica de Columbia, Facultad de Arquitectura and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The urban energy infrastructure is facing a rising number of challenges due to climate change and rapid urbanization. In particular, the link between urban morphology and energy systems has become increasingly crucial as cities continue to expand and become more densely populated. Achieving climate neutrality adds another layer of complexity, highlighting the need to address this relationship to develop effective strategies for sustainable urban energy infrastructure. The occurrence of extreme climate events can also trigger cascading failures in the system components, leading to long-lasting blackouts. This review paper thoroughly explores the challenges of incorporating urban morphology into energy system models through a comprehensive literature review and proposes a new framework to enhance the resilience of interconnected systems. The review emphasizes the need for integrated models to provide deeper insights into urban energy systems design and operation and addresses the cascading failures, interconnectivity, and compound impacts of climate change and urbanization on energy systems. It also explores emerging challenges and opportunities, including the requirement for high-quality data, utilization of big data, and integration of advanced technologies like artificial intelligence and machine learning in urban energy systems. The proposed framework integrates urban morphology classification, mesoscale and microscale climate data, and a design and operation process to consider the influence of urban morphology, climate variability, and extreme events. Given the prevalence of extreme climate events and the need for climate-resilient strategies, the study underscores the significance of improving energy system models to accommodate future climate variations while recognizing the interconnectivity within urban infrastructure.

The literature considers urban green spaces as a key to promoting physical activity and health. Despite the increasingly recognized walking exercise promotion benefits of urban green spaces, the relationship between walking exercise preferences and green space layout remains unclear. We extracted preferred routes for walking exercise and measured the route heat using a one-year shared data of walking exercise from a mobile outdoor assistant app in the old city of Fuzhou, China. We then evaluated green space layout features within a 500-m buffer zone along the preferred routes in dimensions of scale, form, and function. The relationship between the route heat and green space layout features was analyzed using a series of poisson regression models, with the influence of urban morphology and the built environment allocation being controlled. Results showed that there existed a significant association between preferred routes for walking exercise and the combination of green space layout, urban morphology, and the built environment allocation; the route heat had positive associations with NDVI and comprehensive park area density, and showed negative associations with patch shape index and patch density. This study illustrates the necessity for targeted intervention strategies to promote the development of walkable and healthy urban areas.

Abstract The increase in urban population growth has contributed to the expansion of unplanned settlements, especially in developing countries. Triggered by the lack of government oversight, the expansion of these settlements is characterized by unique economic, social, physical, and functional attributes. This study aims at exploring the physical features of unplanned settlements in District 4th of Herat city, western Afghanistan. Employing a mixed-research method, we integrated spatial analysis using Geographic Information Systems (GIS) into detailed field observations to get a better understanding of the characteristics of the formation of these informal settlements. Our findings shed light on a number of key physical features including irregular street layouts, inadequate drainage systems, and substandard construction materials, irregular buildings in term of layout, number of floors, and building density. The features of unplanned urban morphology contribute to socio-economic loss and environmental degradation due to the absence of critical infrastructures including water infrastructures and the presence of unplanned streets in under-resourced unplanned settlements. In fact, the absence of government’s efforts in monitoring the development of unplanned settlements hinders the provision of essential services and infrastructures in the informal settlement communities. Our assertion is that the findings of this research will help policy makers in Afghanistan to reconsider their policies and decisions on urban development and growth, particularly in the poorer and under-served unplanned settlements in major cities in Afghanistan.

Abstract The relationship between green and grey urban infrastructure, local meteorological conditions, and traffic-related air pollution is complex and dynamic. This case study examined the effect of evolving morphologies around a city square park in Dublin and explores the twin impacts of local urban development (grey) and maturing parks (green) on particulate matter (PM) pollution. A fixed air quality monitoring campaign and computational fluid dynamic modelling (ENVI-met) were used to assess current (baseline) and future scenarios. The baseline results presented the distribution of PM in the study area, with bimodal (PM2.5) and unimodal (PM10) diurnal profiles. The optimal vegetation height for air quality within the park also differed by wind direction with 21 m vegetation optimal for parallel winds (10.45% reduction) and 7 m vegetation optimal for perpendicular winds (30.36% reduction). Increased building heights led to higher PM2.5 concentrations on both footpaths ranging from 25.3 to 37.0% under perpendicular winds, whilst increasing the height of leeward buildings increased PM2.5 concentrations by up to 30.9% under parallel winds. The findings from this study provide evidence of the importance of more in-depth analysis of green and grey urban infrastructure in the urban planning decision-making process to avoid deteriorating air quality conditions around city square parks.

Türkiye has experienced many destructive earthquakes in its history. Düzce, located on the North Anatolian Fault line in the north-west of Türkiye, was shaken by two major earthquakes on August 17 and November 12, 1999. These earthquakes caused great loss of life and material damage in the city. The earthquake that occurred in Düzce on November 23, 2022 caused minor material damage. In this study, the city of Düzce will be analyzed in the context of spatial development and city development plans in the period from 1999 to 2023, and urban resilience assessment will be made through the city macro form. The aim of the study is to compare the effects of the zoning plans implemented after the 1999 earthquakes on the city after the 2022 earthquake and to measure urban resilience. Urban resilience analysis was prepared in ArcGIS software by evaluating the building stock, land potential, earthquakes, storey heights, population densities, open green area capacity, transportation network standards, proximity to fault lines, and soil structure in the area where Düzce city core was established. As a result, it was revealed that the urban macro form of Düzce shows low and medium level resilience. The results of the study reveal the critical importance of these measures for the city of Düzce. In line with the analyses, it is recommended to develop and implement policies that increase the resilience of the city.

Rapid population growth globally is resulting in urban densification exponentially. As cities become denser, the environmental quality of urban canyons reduces, resulting in an increase in associated energy use in buildings. Currently, cities are responsible for 70% of the world’s energy consumption. One of the efficient solutions to address this issue is allowing more solar access into interiors and thus making the most of daylight and solar heat gain. Accordingly, this paper presents a novel approach to integrate daylight optimization in both urban environments and buildings’ interiors via the development and application of a custom algorithm based evolutionary computation. This ultimately allows more daylight penetration into urban canyons [vertical daylight illuminance (VDI)] and, subsequently, improves indoor visual comfort [useful horizontal illuminance level (HIL)]. This can also reduce the associated lighting and heating (during winter) energy use of buildings. Furthermore, investigating the correlation between indoor and outdoor illuminance levels aims to bridge the gap between daylight requirements at the urban planning and building scale. A multi-objective evolutionary algorithm-based assessment using computational simulation of design variables is conducted. This determines the extent to which each urban morphology can affect daylight access in both indoor and outdoor environments. Accordingly, the optimal range for different design factors is suggested.Highlights: Applying the best and worst designs alters indoor visual comfort by 88.09%. Applying the best and worst designs alters outdoor illuminance levels by 62.5%. Urban grid rotation has the highest impact on indoor visual comfort. Outdoor daylight availability is mainly affected by the floor area ratio. [ABSTRACT FROM AUTHOR]

Street networks are ubiquitous components of cities, guiding their development and enabling movement from place to place; street networks are also the critical components of many urban analytical methods. However, their graph representation is often designed primarily for transportation purposes. This representation is less suitable for other use cases where transportation networks need to be simplified as a mandatory pre-processing step, e.g., in the case of morphological analysis, visual navigation, or drone flight routing. While the urgent demand for automated pre-processing methods comes from various fields, it is still an unsolved challenge. In this article, we tackle this challenge by proposing a cheap computational heuristic for the identification of ``face artifacts'', i.e., geometries that are enclosed by transportation edges but do not represent urban blocks. The heuristic is based on combining the frequency distributions of shape compactness metrics and area measurements of street network face polygons. We test our method on 131 globally sampled large cities and show that it successfully identifies face artifacts in 89\% of analyzed cities. Our heuristic of detecting artifacts caused by data being collected for another purpose is the first step towards an automated street network simplification workflow. Moreover, the proposed face artifact index uncovers differences in structural rules guiding the development of cities in different world regions.

This article provides an analysis of the urban morphology of Salvador, Bahia (Brazil), focusing on the spatial segregation issues that shape the city. The study examines the physical structure and spatial organization of Salvador, addressing the influence of these factors on the socioeconomic segregation of the city. Also, the configuration of sociospatial segregation is analyzed to study its influence on the relationships among distinct social strata. Based on this premise, we seek to perform a spatial analysis using the software Space Syntax as a tool. Results show how the various configuration patterns and the characterization of socioeconomic sectors reveal an interpretation of the urban morphology of segregation in Salvador.

The radioactive pollutant could migrate to the downstream urban area under the action of atmospheric dispersion due to the turbulent mixing under actual pollution accidents. A scenario in which radioactive contaminants from the upstream (for example, a nearshore nuclear power plant accident) migrates to the downstream urban blocks have been considered in this study. Numerical simulations using computational fluid dynamics (CFD) are then conducted to investigate the effects of the urban morphology (building packing density and layout) on the atmospheric dispersion of radioactive pollutants in this scenario. The building packing density and structure can significantly affect urban areas' mean flow pattern and the turbulent kinetic energy (TKE). The flow pattern and the TKE distribution influence the radioactive pollution dispersion. It is found that the radioactive pollution at the urban canyons is significantly affected by the vertical transport at the canyon. A comparison of the distributions of radioactive and traditional non-radioactive pollutants is also provided.

Located 30 km inland from Lebanon’s coast, The Beqaa Valley (or Beqaa Plains) is considered the agricultural backbone of the country. The Beqaa’s built geographies were shaped by the political and economic hierarchies established by the Roman and Ottoman Empires and revised by the French Mandate. Local and regional economic hardships in the last six decades have led the Beqaa to cycle through periods of decline and recovery, with quick introductions of infrastructural technologies, spurts of loosely regulated building development, and hasty innovations in industrial activity. In this vein, ‘reflexive realism’ concepts of risk regime, logic of production, topographical fragmentation, and internal connectivity, are useful to examine how towns and cities in the Beqaa developed, deteriorated, and adjusted. However, spatial evidence that would inform such inquiries in Rayak, Beqaa, is far from similar to evidence observed in Beirut. Urban morphology research techniques combined with the concept of vernacular architecture can help decode the layers and uses of the built environment. This article introduces a mapping workflow that typologizes built fabrics using five morphological criteria (streets, density, open space, architectural character, and land use) to construct a spatial narrative that can begin characterizing the nature of the Beqaa’s cities and towns.

Urban sprawl has become a concern in development because of its negative impact on sustainable development. Such a special trend is apparent in the transformation of a peri-urban area of Sinduadi Village that is directly affected by the city of Yogyakarta. The village is most likely affected by the urban sprawl phenomenon in the city of Yogyakarta, especially on the morphological aspect of the urban morphology. This study aims to analyze the urban morphology in the Sinduadi Village in 2021 as a result of the urban sprawl of Yogyakarta City. Using quantitative methods, this research is based on a primary data of obtained from field surveys through probability sampling method. The research data came from image interpretation and attribute data processing using ArcGIS 10.3 Software. Secondary data was obtained through Sentinel 2A Imagery while primary data was The data analysis used in this research is quantitative descriptive analysis and spatial analysis using maps. The analysis of the morphological form of the city is carried out by analysis of overlapping maps. This research found that the morphology of the city in the Sinduadi Village in 2021 is linear based on the center of the area on Magelang street This marked by activities in the center of the area are dominated by commercial activities, namely, trade and service. Therefore, regional needs can be accommodated. The center of the area has a high building density (BCR>70%). High density residential land surrounds the center of the area and its development follows a grid and spinal road network pattern. These findings show that Sinduadi village has experienced urban sprawl marked by development trend that trespasses its under bounded city.

Based on the urban morphology theory of the Conzen School and the actual situation of the Tangjiawan Ancient Town, a morphological process analysis of the Tangjiawan Ancient Town was conducted. The end result is a visualization of the process of urban form evolution. The first objective is to describe the morphological framework of Tangjiawan Ancient Town and the morphological changes that occurred during its development. The current urban landscape is divided into units by superimposing morphological units, building types, and land use. The results of the division also reflect the morphological development, structure, and compositional characteristics of the ancient city of Tangjiawan. Using Tangjiawan Ancient Town in Zhuhai city as an example, on-site research, historical evidence, urban morphology analysis methods, and interviews were used to elaborate and analyze the spatial structure and evolution process of traditional ancient towns in South China. In particular, morphological units, building types, and land use are included. The morphological map of the Tangjiawan ancient town is inconsistent with the current economic-oriented development of ancient town planning. This shows that current planning is less concerned with the physical form of architectural heritage, which may lead to further damage to the landscape of the ancient town. This study provides a strong reference for the follow-up planning of ancient town protection of the same type from the perspective of morphology and area and provides ideas for the subsequent preparation of protection plans.

Rapid urbanization has resulted in the substantial population growth in metropolitan areas. However, existing research on population change of the cities predominantly draws on grid statistical data at the administrative level, overlooking the intra-urban variegation of population change. Particularly, there is a lack of attention given to the spatio-temporal change of population across different urban forms and functions. This paper therefore fills in the lacuna by clarifying the spatio-temporal characteristics of population growth in the Guangdong-Hong Kong-Macao Greater Bay Area (GBA) from 2000 to 2020 through the methods of local climate zone (LCZ) scheme and urban–rural gradients. The results showed that: (1) High population density was observed in the compact high-rise (LCZ 1) areas, with a noticeable decline along urban–rural gradients. (2) The city centers of GBA experienced the most significant population growth, while certain urban fringes and rural areas witnessed significant population shrinkage. (3) The rate of growth tended to slow down after 2010, but the uneven development of population-based urbanization was also noticeable, as urbanization and industrialization varied across different LCZ types and cities in GBA. This paper therefore contributes to a deeper understanding of population change and urbanization by clarifying their spatio-temporal contingences at landscape level. [ABSTRACT FROM AUTHOR]

As a consequence of global climate change, sea level rise (SLR) presents notable risks to both urban and natural areas located near coastlines. For developing effective strategies to mitigate and adapt to these risks, it is essential to evaluate the potential impacts of SLR in coastal areas. While substantial research has been conducted on mapping the broad-scale impacts of SLR based on scenarios of Global Mean Sea Level (GMSL), consideration of regional scenarios, systematic classification, and distinct stages of SLR have been largely overlooked. This gap is significant because SLR impacts vary by region and by the level of SLR, so adaptations, planning, and decision-making must be adapted to local conditions. This paper aims to precisely identify the landscape and urban morphology changes caused by the impact of SLR for each foot of elevation increase based on remote sensing technologies, focusing on St. Johns County, Florida, and Chatham County, Georgia. These two counties are both situated along the southeastern coastline of the United States but with completely different urban forms due to distinct historical and cultural developments. Regional forecasting SLR scenarios covering the period from 2020 to 2100 were utilized to assess the landscape transformation and urban changes, incorporating selected landscape and urban metrics to calculate quantitative data for facilitating comparative analyses. This study investigated gradual alterations in urban morphology and green infrastructure both individually and in combination with the effect on wetlands due to SLR. The mapping outcomes of this research were generated by employing comprehensive remote sensing data. The findings of this research indicated that, when the sea level rose to 3 feet, the wetlands would experience notable alterations, and the level of fragmentation in urban built areas would progressively increase, causing most of the metric data to exhibit a pronounced decline or increase. [ABSTRACT FROM AUTHOR]