Search

There is an increasing adoption of shared mobility for improving transport systems performance, reducing excessive private vehicle use, and making full utilization of existing infrastructure in urban traveling. Despite numerous studies in exploring the use of shared mobility for sustainable transport from different perspectives, how it has improved the sustainability of existing transport and what impact it has on various stakeholders are unclear. Therefore, a systematic literature review was carried out in this study on developing and adopting shared mobility for pursuing sustainable transport in urban traveling. Four emerging themes were identified, including attitude and intention, cooperation behaviors, operations and decisions, and performance evaluation, and some research gaps and challenges are discussed. An integrated framework for developing cooperation-oriented multi-modal shared mobility is proposed. This leads to better understanding of shared mobility and its use for sustainable transport in urban traveling. [ABSTRACT FROM AUTHOR]

China's transportation sector plays a significant role in reducing carbon dioxide (CO2) and air pollution. Previous studies have predominantly utilized scenario analysis to forecast emissions for the next 30 to 50 years based on coefficients from a base year. To elucidate the current state of gas emissions in the transportation sector, this study employed panel data for 10 types of gas emissions from 2001 to 2020, analyzing their emission characteristics, tendencies, and synergistic effects. Utilizing the Kaya equation and the logarithmic mean division index (LMDI) decomposition method, we developed a model of pollutant emissions that considers the synergistic effects, pollution emission intensity, energy mix, energy consumption intensity, and population. The results show that all pollutants in the transportation sector decreased except for NH3 and CO2. There was a synergistic effect between air pollutants and CO2 emissions, but the reduction was not significant. From 2013 to 2020, the transportation sector shifted from a high emission intensity with low synergy to a low emission intensity with high synergy. The results indicate that off-road mobile vehicles, on-road diesel vehicles, and motorcycles became the main source of emissions from transportation in certain provinces, and a key area requiring attention in policy development. Gasoline consumption was identified as the primary contributor to the significant increase in synergistic emission variability in the transportation sector. These results provide policymakers with practical ways to optimize emission reduction pathways. [ABSTRACT FROM AUTHOR]

The article deals with the importance of sustainable development of transport infrastructure in the context of ensuring the achievement of the 17 Sustainable Development Goals of Ukraine. It is concluded that today sustainable development of transport infrastructure is a key element for achieving national and global sustainable development goals and an important condition for ensuring economic and inclusive growth, social stability, improving the quality of life of the population and achieving sustainable development of the country as a whole. Comparing the data of the Competitiveness Index for 2015-2021 and the First Voluntary National Review on the Sustainable Development Goals in Ukraine, it was possible to focus on the fact that over the years, the transport infrastructure in Ukraine has been developing at a very slow pace, requiring significant investment for development and modernisation. Particular attention was paid to the review of the state of transport infrastructure after the outbreak of a full-scale war in Ukraine and the importance of its restoration. It is emphasised that today it is becoming clear that there is a need for a comprehensive approach to solving problems in the transport sector, which should combine both the problems that existed before the war and the challenges caused by military operations. It is noted that today Ukraine faces the task not only of restoring the destroyed transport infrastructure, but also of modernising it in line with the current global sustainable development goals. At the same time, sustainable development of transport infrastructure in the context of ensuring the achievement of Ukraine's sustainable development goals cannot be achieved without changing approaches to the formation of the State policy in the transport sector. It is noted that despite significant challenges, Ukraine has significant potential for modernising the transport sector in accordance with international standards of sustainable development. The restoration and development of transport infrastructure in Ukraine in the context of war is a complex and multidimensional task that requires an integrated approach, analysis of problems and adaptation of the strategy to new conditions, in particular, to the restoration and modernisation of infrastructure, introduction of innovations and ensuring the sustainability of transport networks in the context of military and post-war challenges. [ABSTRACT FROM AUTHOR]

In contemporary times, one of the challenges in road traffic is the failure of drivers to adhere to traffic regulations. While the use of turn signals may seem trivial, the studies presented in this article demonstrate the significant impact that this practice can have on road traffic, both in terms of urban network capacity and fuel consumption, which consequently affects the emission of exhaust gases into the natural environment. A common example of the failure to use turn signals is when drivers navigate roundabouts. The example presented here analyzes an existing road network configuration consisting of two roundabouts and an intersection between them. The method of microsimulation was employed using the PTV Vissim 25 software. This study examined a scenario where the percentage of drivers adhering to the use of turn signals increased by 10% in each successive simulation version. The results clearly indicate that the capacity of the network, as well as the emissions of road pollutants, depend not only on traffic volume but also, most importantly, on traffic flow efficiency. [ABSTRACT FROM AUTHOR]

Transport Demand Management (TDM) is crucial in shaping travel behavior and enhancing urban mobility by promoting sustainable transport options. This study represents a comprehensive analysis of employee commuting behavior across seventy-seven cities in Italy, with a focus on Rome as a case study. It investigates some requirements of the workplace travel plan as a TDM strategy for promoting sustainable commuting. An online survey conducted in June 2022 yielded 2314 valid responses, including 1320 from private car drivers. K-means clustering was used to identify distinct behavioral patterns among commuters, revealing four clusters based on demographic factors and transport preferences, such as age, gender, family circumstances, vehicle ownership, willingness to walk, ride bicycles, or e-scooters, and reasons for mode choice. This study analyzed Rome's public transport network, land use, and private car use. Results underscore the need for tailored transport policies that enhance inclusivity and accessibility, especially for employees with family members who cannot commute independently. A spatial analysis of Rome reveals significant infrastructure deficiencies, such as complicated transfers and inaccessible stations, which discourage PT use. Future research should explore the impact of remote work and psychological factors and conduct in-depth subgroup analyses to inform inclusive transport policy development. [ABSTRACT FROM AUTHOR]

Micro‐mobility services, which are considered a sustainable alternative to traditional transportation modes, have gained substantial popularity due to advancements in mobile technology. As one of those modes of transportation, shared e‐scooter services have encouraged several startups in urban areas, allowing them to reach massive numbers of consumers in a highly competitive environment. This study aims to explore gains and barriers that affect the intention of consumers to use shared e‐scooter services, all within the framework of sustainability‐driven considerations. The Latent Dirichlet Allocation (LDA) Algorithm was used to analyse 24.798 reviews from the Google Play Store, uncovering eight topics. Those topics were used to discover customer value perceptions in the shared e‐scooter context and compare them with the related literature on perceived value. Besides, their impact on user ratings on the mobile application platform was measured using machine learning algorithms. The study's findings are expected to contribute to developing regulations for shared e‐scooter services, which have gained popularity as an eco‐friendly mode of transportation sustainability in urban areas by introducing a novel perspective. [ABSTRACT FROM AUTHOR]

The optimization of maintenance intervals is crucial for enhancing efficiency, sustainability, and cost-effectiveness in transport operations. This paper presents a method for optimizing maintenance intervals for vehicles in various modes of transport, focusing on minimizing downtime due to repairs and maintenance. By integrating advanced technologies like artificial intelligence (AI) and the Internet of Things (IoT), maintenance intervals are dynamically adjusted using real-time data, resulting in better resource utilization and reduced operational costs. The key findings of this research indicate significant reductions in downtime and maintenance costs, leading to improved efficiency and sustainability across transport modes. Although the case study is based on railway vehicles, the approach is applicable to road, maritime, and air transport as well. By leveraging optimization algorithms, such as machine learning, this solution predicts optimal maintenance timing, thereby reducing resource consumption and improving operational efficiency. The case study on pantograph maintenance demonstrates significant financial savings and reduced waste. This research highlights the benefits of maintenance optimization for sustainability and efficiency across the entire transport sector. [ABSTRACT FROM AUTHOR]

This study explores the potential of inland navigation as a key component of Poland's sustainable transportation strategy, focusing on the Opole–Szczecin route. It emphasizes inland waterways as an eco-friendly and efficient alternative to road and rail transport, potentially revitalizing local economies and reducing dependency on more traditional transport modes. The use of the River Information Service (RIS) system is highlighted as to its role in enhancing the logistical efficiency and safety of inland water transport. The research includes a comparative analysis of cargo transport on the Opole–Szczecin route, using road, rail, and inland-waterway options, revealing the advantages of inland-waterway transport in terms of cost-effectiveness and environmental impact. Finally, the paper discusses the challenges and opportunities for the development of inland navigation in Poland, advocating for greater integration with other transport branches through innovative technologies like RIS. [ABSTRACT FROM AUTHOR]

The Brazilian Amazon has one of the largest river networks in the world, connecting riverine communities, many of which have no roadways. The use of high-speed vessels, including those that are locally made, is necessary for the transportation of people to perform their day-to-day activities. However, regional news and social media data have shown that these vessels are involved in accidents. This work describes some of the key challenges to improving the sustainability and safety of regional high-speed vessels. Field research was performed in the state of Amazonas to document regional vessels and provide graphic evidence of the possible risk factors that could cause accidents as the path to prevent them. Some risk mitigation alternatives were discussed. Cameras and a drone were used to capture information either from the shore or from small boats. The main challenges are related to the adequate management of seasonal changes in river depths; wave and wind behavior; wave wash effects; the interaction of vessels with rocks, sand banks, mud, and vegetation; embarkation and disembarkation activities; the monitoring and regulation of safety requirements and dangerous operations; and the slowness in implementing technological advances that would improve vessels' safety. It is hoped that the work in this paper will contribute to improving the sustainability of marine activities in the Amazon and similar regions worldwide. [ABSTRACT FROM AUTHOR]

Road construction and maintenance are crucial for a functioning society, and achieving cost-effective and environmentally sustainable practices requires a deep understanding of road degradation processes. Temperature fluctuations and extreme temperatures are significant contributors to road surface deterioration, leading to issues such as cracking, rutting, and deformation, which not only reduce the road lifespan but also release fine particulate matter, posing environmental hazards. In this study, we develop detailed road surface temperature maps for Spain, using real-time weather and solar irradiation data from 46 evenly distributed meteorological stations. These maps provide hourly average road surface temperatures for each season and highlight extreme conditions during summer and winter, incorporating meteorological variables such as air temperature, wind speed, and relative humidity, showing that during winter, but particularly during summer, most of the territory is subjected to extreme temperatures. By visualizing thermal stress on road surfaces, the road surface temperature maps enable the identification of high-risk areas, supporting targeted maintenance, conservation efforts, and pollution mitigation, ultimately contributing to a more sustainable road infrastructure. [ABSTRACT FROM AUTHOR]

Today, the key challenge is to ensure environmentally acceptable and sustainable transport. This paper analyzes the current state of emissions and greenhouse gases and their impact on the environment. In more detail, it is focused on relevant transport emissions data and their development in the Slovak Republic. It describes and analyzes proposals to improve the current state of rail transport and reduce greenhouse gas (GHG) emissions. Furthermore, it examines current transport trends and their impact on the environment and then analyzes and evaluates these relevant data concerning specific types of emissions. The differences between road, rail, and pipeline transport modes are analyzed and quantified through graphical analysis and analysis of variance (ANOVA) at 5% significance using IBM SPSS statistics software. A subsequent Scheffé post-hoc test is utilized. The usage of ANOVA enables the determination of whether the differences between the transport modes are statistically significant and generalizable or if they arise due to random variation. Based on the knowledge gained, specific measures and strategies are proposed that could contribute to a more efficient use of rail transport to reduce greenhouse gas emissions. The originality and novelty of the contribution lie in the connection between environmental science and applied statistics as well as in finding new progressive synergistic effects between them. The results provide important information for decision-making in the field of investment and planning of rail infrastructure and transport to promote environmental sustainability and reduce the negative environmental impact of rail transport. The research results contribute to the development of a sustainable transport system and will be used in other scientific research activities of the authors in more detailed research on individual proposed measures. [ABSTRACT FROM AUTHOR]

The 21st century is a time of rapid development, marked by technological advances, globalization, and international cooperation. It is also a period that has witnessed numerous global crises. In light of recent events, such as the migration crisis, the COVID-19 pandemic, and the escalation of the conflict between Ukraine and Russia, it is crucial to consider how to ensure economic stability and enhance the security of the transportation sector in the face of emerging threats. The goal of this publication is to identify the latest solutions in sustainable transportation development and to highlight their relevance in the context of potential global crises. To achieve this, a systematic review of the current research on transportation industry innovations was conducted using 4 different databases, yielding 492 results. From these, 223 publications were selected for analysis based on established criteria. The selected transport solutions were grouped into specific categories, and then their relevance in the context of global crises was discussed. The findings highlighted key solutions essential for economic stability and transport sector safety in potential crisis situations, while also pointing to further research directions. Additionally, they offer actionable concepts for transport organizers to promote a more resilient and sustainable flow of passengers and goods in anticipation of future crises. [ABSTRACT FROM AUTHOR]

Railways play a key role in sustainable development, being one of the most ecological means of transport. The article discusses the challenges and opportunities related to the maintenance of the railway station infrastructure in Poland, in the context of modern predictive technologies. The Eurail FP3 project, implemented under a European Union grant, focuses on the development of the modern solutions for the maintenance of railway infrastructure, including the possibility of using a modern approach to monitoring the technical condition of buildings in real time, which allows for the prediction of faults and the optimization of the maintenance work. The authors of the article analyze the data obtained from the main manager of the railway infrastructure in Poland regarding the station maintenance procedures and present a new approach for a maintenance procedure, which assumes the inclusion of predictive technologies. Thanks to this, it is possible to optimize the maintenance processes of the station infrastructure, which in the long term will affect the possibility of the current access to data on the condition of buildings in real time and will affect the operating costs related to the maintenance of the station facilities, as well as limiting the negative impact on the environment. The analysis carried out as part of the completed works has also revealed the threats and difficulties related to the costs and technological limitations related to the implementation of the maintenance policy, while indicating the directions of further works to ensure the proper efficiency of the railway infrastructure. [ABSTRACT FROM AUTHOR]

Purpose: Research on smart cities and quality of life is advanced. However, there are few publications analyzing the logistical aspects of quality of life. In addition, publications conceptualize residents without considering segments within this stakeholder group. The purpose of this article is to evaluate the logistical aspects of students' quality of life in college towns. Design/methodology/approach: The article compares three academic cities. The logistics systems of the cities were characterized according to attributes indicating intelligent and sustainable development of passenger transportation. Key solutions for integrated urban transportation, micromobility and intelligent transportation systems are identified. The next step discusses the results of a survey of students living in the surveyed cities. A customer satisfaction index was developed. Findings: Recommendations have been identified for academic city managers in improving the flow of people in the city. Each case study also identified good practices that are highly appreciated by students. Originality/value: Applying customer satisfaction characteristic methodology to evaluate logistics aspects affecting students' quality of life. [ABSTRACT FROM AUTHOR]

Purpose: This review examines the effects of Nigeria's economic policies, particularly the removal of fuel subsidies, on urban transport patterns, focusing on the increased use of motorcycles for daily commuting. Methodology: A comprehensive literature review was conducted, analyzing studies on motorcycle usage in urban areas of Nigeria and other developing countries and the impact of economic policies on transportation choices. Results: The study finds that removing fuel subsidies has significantly increased motorcycle usage in Nigerian cities, particularly among low-income earners. This shift has resulted in changes to traffic flow, increased road safety concerns, and environmental challenges due to motorcycle emissions. Theoretical contribution: The paper contributes to the understanding of how economic policies can rapidly transform urban mobility patterns in developing countries, highlighting the complex interplay between affordability, safety, and environmental sustainability in transportation choices. Practical implications: The review identifies several policy interventions, including enforcing safety regulations, creating dedicated motorcycle lanes, and improving traffic management systems. It also emphasizes the need for holistic transport policies that balance economic realities with safety and sustainability concerns. [ABSTRACT FROM AUTHOR]

Transport Demand Management (TDM) is crucial in shaping travel behavior and enhancing urban mobility by promoting sustainable transport options. This study represents a comprehensive analysis of employee commuting behavior across seventy-seven cities in Italy, with a focus on Rome as a case study. It investigates some requirements of the workplace travel plan as a TDM strategy for promoting sustainable commuting. An online survey conducted in June 2022 yielded 2314 valid responses, including 1320 from private car drivers. K-means clustering was used to identify distinct behavioral patterns among commuters, revealing four clusters based on demographic factors and transport preferences, such as age, gender, family circumstances, vehicle ownership, willingness to walk, ride bicycles, or e-scooters, and reasons for mode choice. This study analyzed Rome’s public transport network, land use, and private car use. Results underscore the need for tailored transport policies that enhance inclusivity and accessibility, especially for employees with family members who cannot commute independently. A spatial analysis of Rome reveals significant infrastructure deficiencies, such as complicated transfers and inaccessible stations, which discourage PT use. Future research should explore the impact of remote work and psychological factors and conduct in-depth subgroup analyses to inform inclusive transport policy development.

This study examines the factors influencing the travel behaviour of Delhi's working population, utilizing retrospective cross-sectional data from 2005 to 2019 collected across four neighbourhoods. The research provides empirical evidence on how travel mode choices have evolved over time in response to changes in the built environment and socioeconomic conditions. GIS-based analysis was conducted to assess the impact of temporal variations in the built environment on travel behaviour. Results reveal a 21% increase in the reliance on private modes of transportation between 2005 and 2019, with the most significant rise observed in 4-wheeler usage. Conversely, bus usage declined by 32%, attributed to various factors including overcrowding, hygiene concerns, and perceived reliability issues. However, in 2019, Connaught Place reported the highest bus usage at 28%, attributed to its high bus stop density, while enhanced metro facilities across the neighbourhoods led to a 20% increase in overall metro ridership. Multinomial logistic regression analysis identified key socioeconomic determinants of travel behaviour, including age, gender, income, vehicle ownership, and commuter attitude. In 2005, two-wheeler preference over buses was primarily driven by vehicle ownership (O.R.: 620.95), gender (O.R.: 4.20), and income (O.R.: 1.28). By 2019, commuter attitude (ProPV) emerged as a significant factor, alongside vehicle ownership (O.R.: 136.72), ProPV (O.R.: 21.41), and income (O.R.: 2.14). A similar trend was observed for car usage, highlighting the increasing influence of commuter behaviour and attitudes on travel choices over time. These findings underscore critical policy implications for the development and enhancement of Delhi's transport system, offering insights that could be applicable to other cities facing similar challenges. [Display omitted] Key Highlights. ⁃ Travel behaviour is complex, differing by region and evolving over time. ⁃Habitual behaviour shapes work travel mode choices in Delhi. ⁃Mixed land use and good transit access boost public transport use. ⁃Safety and comfort are key in car choice for Delhi's workers. ⁃Built environment, socioeconomics, and behaviour influence Delhi's travel modes. ⁃Delhi's transport planning needs balanced infrastructure and behaviour strategies. [ABSTRACT FROM AUTHOR]

Mobility hubs (MHs), where various transport modes converge, are increasingly being implemented as a key policy strategy to promote sustainable travel behavior. The existing literature is rich with proposals for various types of MH and suitable siting locations for them. However, studies comparing the role of land use patterns on the performance of different types of MH are scarce. This study aims to fill this gap by analyzing transit patronage and active mode share as performance indicators of MHs. It compares the effects of land use patterns on the performance of different types of MH classified by the nature of transport integration (e.g., train-tram-bus, train-tram, and train-bus) in different contexts (e.g., city district and suburb) in the Greater Melbourne Area, Australia. Results show that MHs enhance the use of transit and active transport modes for commuting purposes by up to 279% and 17%, respectively, compared to a unimodal train station, with maximum usage observed in a train-tram-bus hub, followed by train-tram and train-bus hubs. However, the underlying land use patterns significantly affect their performance. Specifically, each additional hectare of commercial land within the catchment of a train-tram-bus MH in the city district, a train-tram-bus MH in a suburban area, a train-tram MH in a suburban area, and a train-bus MH in a suburban area increases transit patronage by 6%, 9%, 5%, and 4%, respectively. These findings suggest that MH typologies should be designed in tandem with supportive land uses to maximize sustainable travel behavior. The findings inform urban and transport planners in designing optimal land use patterns for different types of MH to maximize sustainable travel behavior. They also support the development of tailored land use zoning policies to enhance the effectiveness of MHs. [ABSTRACT FROM AUTHOR]

Numerous studies have been conducted on sustainable transportation and its impact on global energy efficiency. However, the evolution and performance patterns of this field remain relatively unknown and limited. A bibliometric analysis was conducted to explore the global research trends to determine the state-of-the-art sustainable transport linked to energy efficiency over the past 21 years. The Web of Science (WoS) database was searched to explore the research related to sustainable transport in response to energy efficiency from 2002 to 2022, resulting in the identification of 2,884 articles. In this study, VOSviewer was used to analyse collaboration networks between authors, countries, institutions and co-occurrence analysis of keywords in three defined periods. The results reveal that the majority of studies on sustainable transport and energy efficiency were primarily conducted in the USA, with limited research conducted in Asian countries. The study found that the subject categories of "transport planning,""transport policy,""climate change,""electric vehicles," and "public transport" are the most prolific research contributors. During Phase III (2016–2022), most studies were centred around electric vehicles in the field of sustainable transportation, as opposed to Phase II (2009–2015). These findings enhance our understanding of the research landscape in this field and offer valuable insights for future studies. Future studies could examine how the latest technology enhances energy efficiency in the transportation sector and focus on the usage and benefits of hydrogen fuel cell vehicles (HFCVs). [ABSTRACT FROM AUTHOR]

This paper presents the development of a numerical analysis model designed to estimate the lifespan of reduced-diameter wheels used in freight wagons based on their diameter, under quasi-static conditions. These wheels are increasingly being used in combined transport applications, where they are installed in various bogie configurations and subjected to different operational environments. However, due to the unique characteristics of reduced-diameter wheels, their lifespan has been scarcely studied. To accurately build this model, an in-depth investigation of the rolling phenomenon was required, addressing key issues in the track–vehicle interaction and establishing relationships between these factors. After constructing the rail–wheel interaction model, it was applied to calculate the lifespan of wheels with standard, medium, and reduced diameters under identical conditions for comparison. This approach makes it possible to determine the lifespan of reduced-diameter wheels relative to standard ones, as well as to observe how lifespan changes with wheel diameter, and it is observed how lifespan diminishes non-linearly with decreasing diameters. The underlying reasons for this variation are explained through a comprehensive understanding of the rolling phenomenon, enabled by the full analysis. [ABSTRACT FROM AUTHOR]

Public opinion has been identified as one of the main drivers of political action in support of sustainable-transport transitions, making it essential to understand when aiming for effective transport policy. Drawing from both quantitative and qualitative data from the 2021 Montréal Mobility Survey, this paper analyzes public perceptions towards two transport projects—a light-rail transit (LRT) and a bus-rapid transit (BRT). Quantitative statements pertaining to five project impacts were compared between the two projects. Both projects had high levels of agreement (between 67% and 80%) regarding expected regional and environmental impacts, but agreement levels were lower for expected neighborhood, cultural, and residential displacement impacts (between 49% and 30%). To contextualize the quantitative findings, qualitative data were pulled from open-ended questions for both projects and analyzed using an applied-thematic-analysis approach. The qualitative responses focused primarily on negative perceptions, providing insight into potential factors contributing to the erosion of social acceptability. Our analysis of open-ended questions underscored contrasting perceptions between the two projects in terms of improvements in accessibility to destinations (minimal for the BRT vs noticeable for the LRT), governance (transparent for the BRT vs opaque for the LRT), consultation processes (adequate for the BRT vs insufficient for the LRT), and construction impacts (lengthy and disruptive for the BRT vs rapid for the LRT). These contrasting quantitative and qualitative results highlight the need for mixed methods when assessing public perceptions. Findings from this paper can be of benefit to practitioners and policy makers as they aim to ramp up efforts to expand public-transit systems. • Adequate public consultation can contribute to positive public perceptions. • Suburbanites' opposition to change may hinder LRT effectiveness. • Perceived equity of public transit projects can influence social adhesion. • Better communication is warranted on benefits and impacts of transport projects. [ABSTRACT FROM AUTHOR]

• Intention to use ST at T1 is the best predictor of STC at T2. • Time is the major barrier to using a sustainable alternative. • What predicts intention? Perceived behavioral control is the stronger predictor. • Responsibility's Ascription and Consequences'awareness affect STC via Moral Norm. • Social Norms affect STC through Perceived Behavioral Control. According to the European Environment Agency (European Environmental Agency, EEA, 2018), road transport is responsible for 72% of all transport-related greenhouse gas emissions in the European Union (EU), which accounts for 25% of total energy-related emissions (Eurostat, 2018). Thus, it is crucial to identify drivers and barriers to more sustainable transport behaviors. In this regard, the Norm Activation Model and Theory of Planned Behavior have often been used as conceptual frameworks for predicting such behaviors. The present study aimed to analyze the differential impact of both socio-psychological factors and persuasive messages sent through a Personalized Travel Plan (PTP) on Sustainable Transport Choices (STC). To reach this aim we administered a survey two times (T1: Oct./Dec. 2020; T2: March/May 2021) to 398 car users. Measures of constructs included in the Norm Activation Model and the Theory of Planned Behavior, such as behavioral intention, attitude, perceived behavioral control, beliefs, and personal and social norms, were detected. Participants were then exposed to a PTP built on feedback information regarding kilocalories, CO 2 emissions, cost, and time savings when using sustainable transport compared to driving a car. Structural Equation Modeling (SEM) analysis shows that intention to use sustainable transport in T1 is on one side directly predicted by personal norm, perceived behavioral control, and attitude, and on the other side emerged as the main predictor of sustainable travel choices in T2, together with kcal spent, whereas time was the major barrier. Implications and future developments are discussed in the light of the conceptual framework. [ABSTRACT FROM AUTHOR]

The design of slow-moving systems in colleges and universities is a critical factor in ensuring the safety, convenience, and comfort of campus transportation. This study focuses on the Huangjiahu Campus of Wuhan University of Science and Technology, conducting an in-depth analysis of the current shortcomings in the campus's slow-moving system with respect to safety, convenience, and comfort. The analysis employs the PLPS research method and statistical analysis, while the satisfaction with the slow-moving transportation system is further assessed using the IPA method. The study identifies key factors affecting the performance of the slow-moving system and proposes improvement measures based on the evaluation results. These measures aim to enhance campus transportation efficiency, improve environmental quality, and increase the vitality and attractiveness of campus spaces. This study offers a theoretical basis and practical strategies for optimizing the slow-moving transportation system at the Huangjiahu Campus of Wuhan University of Science and Technology and other institutions of higher education. It also provides guidance for planning and improving slow-moving transportation systems in urban planning, contributing significant academic and practical value. [ABSTRACT FROM AUTHOR]

Many countries have committed to carbon reductions and carbon neutrality targets in response to the Paris Agreement and Sustainable Development Goals (SDGs). With economic development, the transportation sector has become a major source of carbon emissions. In China, transport infrastructure—as an important carrier of the transportation sector—is important for controlling carbon emissions from this sector and achieving carbon neutrality and the targets of the SDGs. However, most studies have focused on transport vehicles and neglected transport infrastructure. Furthermore, the influences of collusive behavior and digital control technologies on the carbon reduction process have not yet been examined. This study aimed to analyze the influencing factors in the carbon reduction process in transport infrastructure. This study uses partial least squares structural equation modeling (PLS-SEM) to analyze the factors influencing carbon reductions in transport infrastructure and the mediating roles of collusive behavior and digital control technologies in the carbon reduction process. Low-carbon technologies, digital control technologies, and collusive behavior have positive direct and indirect effects on the carbon reduction effect. Digital control technologies have a positive effect on low-carbon regimes. Low-carbon technologies influence carbon reduction effects. Collusive behavior plays a mediating role in low-carbon regimes. Finally, the industrial structure influences carbon reduction effects. This study extends China's carbon emission research in the transportation sector by focusing on infrastructure rather than vehicles. Additionally, this is the first study to incorporate collusive behavior and digital control technologies into the framework to analyze the impact of carbon reductions. The study also employs PLS-SEM to explore effective carbon reduction paths. The findings provide decision-making support for controlling carbon reductions in transport infrastructure. [ABSTRACT FROM AUTHOR]

This paper presents a summary and review of life cycle sustainability assessment (LCSA) methods for the transport sector. The paper provides a comprehensive overview of articles that employ a variety of methods for assessing sustainable development in the transport sector, taking into account the economic, social, and environmental dimensions. In the sustainability assessment of transport, three methods were evaluated: life cycle assessment (LCA), life cycle cost analysis (LCC), and social life cycle assessment (SLCA). An overview of sustainability assessment methods in transport and a review of the indicators used in the life cycle sustainability assessment was conducted. It was found that the selection of indicators within the LCSA for assessing various aspects of sustainable development is dependent on various geographic and policy contexts. An overview of the application of multi-criteria decision analysis (MCDA) methods to assess LCSA in the transport sector was performed. MCDA methods are used to support decision-making regarding the selection of the most sustainable transport options and allow for the simultaneous consideration of multiple criteria, enabling a more sustainable assessment of different transport options. MCDA methods help to rank alternative transportation fuels and help decision-makers consider indicators encompassing economic, environmental and social aspects. [ABSTRACT FROM AUTHOR]

The paper presents a framework for assessing inequality in passenger rail services by examining connectivity and accessibility across two different travelframes: favorable (daytime travel) and unfavorable (nighttime travel). The unfavorable timeframe is often characterized by a lack of adequate first-/last-mile transport availability to train stations, impacting passenger access. The study employs a newly developed inequality-to-investment ratio to classify rail transport entities like stations, routes, or zones as either winners or losers, using a performance persistence analysis. A case study was conducted using data on the superfast express (SE) train schedule and investments from 2016 to 2020 across sixteen zones of the Indian Railway, assessing service inequalities during the hours of favorable (7 a.m. to 9 p.m.) and unfavorable (9 p.m. to 7 a.m.) timeframes. Results revealed inconsistencies in inequalities among zones. Moreover, the research demonstrates that the choice between connectivity and accessibility metrics significantly influences the identification of better or worse performing zones as winners or losers, respectively, throughout the 2016–2020 period and during both timeframes. The study underscores the importance of selecting appropriate measures and suggests re-evaluating or increasing investments in certain zones of Indian Railways based on these insights. The framework proposed in this paper can be used to assess inequalities within any transportation system receiving investments or government funds, contributing to the broader goal of ensuring equitable access to transportation, which is essential for a sustainable transportation system. [ABSTRACT FROM AUTHOR]

The development of electric vehicle fleets is an important element of today's economic, social, and ecological development. This multidimensional sustainable process, although not easy, generates many tangible benefits for various stakeholders, ranging from environmental to financial and competence issues. Despite the fact that the phenomenon of transformation toward rational energy management is gaining momentum on a global scale, there is a significant disproportion in terms of development levels depending on the origin of the economy. The aim of this research article is to identify the key factors affecting the development of fleet electrification in the transport, shipping, and logistics (TSL) sector in Poland. Based on a literature review, a fleet development framework was developed using a PESTEL (political, economic, social, technological, environmental, and legal) analysis and evaluated by TSL companies. According to the conclusions drawn, the most important stimulants are economic factors and technological factors, which limit the development of electrified transport fleets in the TSL industry. Based on this, the authors propose various solutions to improve economic profitability and technological conditions. In addition, it was found that the attitudes of the decision makers at transport companies and cooperation within the TSL sector are also important. [ABSTRACT FROM AUTHOR]

This research examines the impact of personal norms, perceived value, perceived behavioural control, financial incentive policies, and subjective norms on the behavioural intention to adopt electric vehicles (eVehicles) in India. This study further validates the impact of actual use on sustainability dimensions, namely perceived environmental, social, and economic impacts. Data were gathered using a self-administered questionnaire from EV users in India. The sample comprised 487 respondents who used eVehicles. Structural equation modelling (SEM) was applied to assess and validate the hypothesized relationships. The results indicate that personal norms positively impacted behavioural intention to adopt eVehicles. However, the financial incentive policy is insignificant. Because of the intricate relationships between diverse socio-psychological components allied with the purchase of eVehicles, this study validates norm activation theory (NAM) and theory of planned behaviour (TPB) as theoretical undertakings to arrive at a holistic model. [ABSTRACT FROM AUTHOR]

E-biking is alluring for its various physical, environmental, and financial benefits and the ability to travel farther and faster, and being physically easier to ride than astride an analog (traditional) bicycle. E-bikes are also a source of controversy, especially in places where analog bicycles have been allowed but e-bikes represent a "slippery slope" of technology permissions and/or in situations where the function of e-bikes may increase concerns about safety. Despite an increase in use and conversation about such use, academic literature focused on e-bikes' social aspects remains sparse. The objective of this work is to describe the existing literature on the characteristics of social aspects of e-biking, particularly in leisure contexts. Analyzing the literature on e-bike social research is crucial considering e-bikes' rapid rise in popularity and potential effects on access, inclusion, leisure, and sustainability. As e-bike prevalence and use increases worldwide, it is important to understand what topics characterize the existing e-bike literature, and, particularly in leisure-focused studies, to ascertain where studies may lend insight toward aims of inclusive and sustainable access, and related policy considerations. The Integrated Recreation Amenities Framework (IRAF) provides a conceptual framework for considering this question, as it focuses on the topical, spatial, and temporal scales of outdoor leisure-related activities toward sustainable conditions and explicitly provides an opportunity for emergent and case-specific factors to be considered alongside established ones. In this work, we explore the following: (1) How are e-bikes discussed across disciplines? and (2) How are e-bikes discussed in leisure-focused articles? Using a scoping review approach, we analyzed a corpus of 279 peer-reviewed articles relevant to the social aspects of e-bikes. Primarily using the IRAF for conceptual framing, our results center the geographies and contexts, topical areas, interdisciplinarity, and emergent additional social considerations of e-biking in general and in leisure-specific studies. The results enable us to connect interdisciplinary topic discussions and suggest where foundational and connective studies are warranted. This can inform decision making related to e-bike adoption, encourage multi-scalar thinking, and extend interdisciplinary research. [ABSTRACT FROM AUTHOR]

Healthcare contributes significantly to carbon dioxide emissions, which can be reduced by promoting sustainable mobility amongst staff commuting. This study aims to investigate the national sustainable transport infrastructure for staff of healthcare facilities and utilise this data to develop a novel scoring and ranking system. This was an empirical retrospective observational study. Data was collected on all 47 hospitals sustainable transport infrastructure. A working group calculated the weighted scores for each sustainable transport data point. These scores were used to calculate the Total and Active Sustainability Scores for each hospital, allowing a ranking to be formed. 7 of 47 (15 %) hospitals had EV charging on campus. 17 of 47 (36 %) hospitals had secure bike parking. 2 of 47 (4 %) hospitals had a "bike hub". 18 of 47 (38 %) hospitals had a bike lane. 13 of 22 (59 %) city hospitals had bike sharing facilities. 42 of 47 (89 %) hospitals had one public transport route. City hospitals ranked higher in both Total & Active Sustainability Scores. This study explored a new concept of measuring sustainable transport infrastructure. Frameworks examining sustainability are available, however, none allowed for ranking of hospitals. This study highlights the lack of both research in this field and sustainable transport infrastructure in hospitals. • Development of a novel sustainable transport infrastructure scoring system. • Paucity of sustainable transport infrastructure in hospitals for staff nationally. • Actively commuting to work is beneficial to climate change and public health. [ABSTRACT FROM AUTHOR]

Disruptive policy packages that fundamentally change the current unsustainable passenger transport structures and enable low-carbon mobility transformation are inevitable. This implies the use of more stringent and multiple restrictive (i.e. push) measures. To enable successful implementation, public acceptance is critical, but what drives this acceptance? In this study, two main hypotheses were tested using survey methods that combined a two-group framing with a conjoint experiment: (1) The acceptance of push measures decreases as disruption increases; (2) disruptive push measures are less likely to be rejected when communicated as part of a policy package that included complementary pull measures (i.e. incentives). We conducted this survey with a quota-representative sample of 1,032 respondents from Austria. Two main findings emerge: First, we find low public acceptance of push measures, but observe differences based on the level of disruption (i.e. the measures' intensity or rapidity of implementation). The more disruptive the measure (e.g. a registration ban for fossil fuel cars or a fuel price increase), the more negatively these measures were evaluated by survey respondents. Second, our results indicate the need to communicate and implement high-impact, more restrictive push measures (e.g. car bans) as part of policy packages that include acceptance-boosting pull measures. Successful and acceptable mitigation policies for low-carbon mobility require multiple push measures that are communicated in policy packages together with pull measures. Acceptance levels of push measures are generally low, but acceptance differs depending on how disruptive the respective policy is, with the more disruptive policies being less well accepted. Acceptable combinations of push measures may include higher parking fees, car-free city centres, and street redesign to, e.g. prioritize non-motorized modes of transport. Responses to the presented push measures vary across society, with frequent car users showing higher levels of rejection dependent on the included policy measures, underlining the need to tailor policies for specific contexts. [ABSTRACT FROM AUTHOR]

This paper shows the usage of a numerical analysis model that enables the calculation of the life of railway wheels used for low-floor freight wagons as a function of its primary operating factors, which allows for carrying out sensitivity analyses. Low-floor wagons are being increasingly used for combined transport applications, and many types of bogies have been proposed to constitute the wagons. Due to the uniqueness of this type of wagon, the bogie configurations in terms of wheelbase and axle load have hardly been analyzed so far. The numerical analysis model used addresses the primary challenges that arise in the vehicle–track interaction and establishes the relations among them. The main aspects of this model have been described in this paper, which has been later used to calculate the life of an ordinary-diameter wheel for several wheelbase and axle load values. This study has been replicated with reduced-diameter wheels, which are commonly used for low-floor wagons. In this way, it is possible to know the evolution of the life depending on the wheelbase and the axle load. The observed behaviors are not so dissimilar for the different types of wheels, and they point out huge increases in wear as the axle load and the wheelbase rise, especially with axle load. The root causes can be explained by the entire understanding of the rolling phenomenon provided by the full analytical work. [ABSTRACT FROM AUTHOR]

Reducing carbon emissions from the transport sector is essential for realizing the carbon neutrality goal in China. Despite substantial studies on the influence of urban form on transport CO2 emissions, most of them have treated the effects as a linear process, and few have studied their nonlinear relationships. This research focused on 274 Chinese cities in 2019 and applied the gradient-boosting decision tree (GBDT) model to investigate the nonlinear effects of four aspects of urban form, including compactness, complexity, scale, and fragmentation, on urban transport CO2 emissions. It was found that urban form contributed 20.48% to per capita transport CO2 emissions (PTCEs), which is less than the contribution of socioeconomic development but more than that of transport infrastructure. The contribution of urban form to total transport CO2 emissions (TCEs) was the lowest, at 14.3%. In particular, the effect of compactness on TCEs was negative within a threshold, while its effect on PTCEs showed an inverted U-shaped relationship. The effect of complexity on PTCEs was positive, and its effect on TCEs was nonlinear. The effect of scale on TCEs and PTCEs was positive within a threshold and negative beyond that threshold. The effect of fragmentation on TCEs was also nonlinear, while its effect on PTCEs was positively linear. These results show the complex effects of the urban form on transport CO2 emissions. Thus, strategies for optimizing urban form and reducing urban transport carbon emissions are recommended for the future. [ABSTRACT FROM AUTHOR]

With the rapid increase in vehicle numbers, efficient traffic management has become a critical challenge for society. Traditional methods of vehicle detection and classification often struggle with the diverse characteristics of vehicles, such as varying shapes, colors, edges, shadows, and textures. To address this, we proposed an innovative ensemble method that combines two state-of-the-art deep learning models i.e., EfficientDet and YOLOv8. The proposed work leverages data from the Forward-Looking Infrared (FLIR) dataset, which provides both thermal and RGB images. To enhance the model performance and to address the class imbalances, we applied several data augmentation techniques. Experimental results demonstrate that the proposed ensemble model achieves a mean average precision (mAP) of 95.5% on thermal images, outperforming the individual performances of EfficientDet and YOLOv8, which achieved mAPs of 92.6% and 89.4% respectively. Additionally, the ensemble model attained an average recall (AR) of 0.93 and an optimal localization recall precision (oLRP) of 0.08 on thermal images. For RGB images, the ensemble model achieved mAP of 93.1%, AR of 0.91, and oLRP of 0.10, consistently surpassing the performance of its constituent models. These findings highlight the effectiveness of proposed ensemble approach in improving vehicle detection and classification. The integration of thermal imaging further enhances detection capabilities under various lighting conditions, making the system robust for real-world applications in intelligent traffic management. [ABSTRACT FROM AUTHOR]

Accessibility is commonly defined and operationalised through objective measurements, such as travel time and physical distance to destinations; however, there is a lack of empirical studies capturing perceived accessibility from individual perspectives. With the aim of sustainable transport for inclusive communities, it is crucial to investigate the impact of socio-economy and travel mode on perceived accessibility and key driving factors of perceived safety and service quality. Through the collection of primary data from one of the fastest-growing suburbs in Melbourne, this study examined variation of perceptions towards accessibility, safety, and service quality among diverse social groups and travellers using different modes of transport. The findings of this study would assist transport planners in making informed decisions in creating inclusive transport networks that can improve community health and well-being. [ABSTRACT FROM AUTHOR]

Transforming railway stations and their surroundings into multimodal transportation hubs (MMTHs) involves numerous actors at different scales and from different economic sectors and levels of government. Successful transformations offer a wide range of benefits to sustainable development, including increased public transportation use and mixed-use, high-density station districts. Intensive collaboration and, ideally, co-creation are critical to achieving these outcomes through MMTHs; however, orchestrating all involved actors is challenging and requires supporting methods, and the knowledge required to develop and refine methods is scarce and rarely subjected to systematic analysis. Based on 15 semistructured interviews and two design thinking workshops attended by 13 and 20 MMTH experts, our study shows that the challenges of co-creating MMTHs relate not only to professional matters but also to managing collaboration and implementation among a large number of actors with various roles and interests. In this paper, we develop design guidelines for reviewing and evaluating two current methods and a prototypical method (the functional model) with the goal of identifying potential improvements and supporting MMTH co-creation in Switzerland. These guidelines cover the broad spectrum of co-creation activities, from organization and design collaboration with relevant actors to the development of a shared vision to support financing and the planning process. The functional model encompasses many aspects of the design guidelines and closes gaps between actors across different scales, economic sectors, and governmental levels. Due to the relatively low effort involved, the method can be repeated as needed throughout MMTH development, which often takes several years. Our study demonstrates that existing MMTH co-creation methods require improvement, and the design guidelines developed here suit this purpose. Our work thus contributes to the further development of MMTH co-creation methods, ultimately supporting sustainable development such as CO2 emission reduction and responsible land use.

Purpose: This review examines the effects of Nigeria's economic policies, particularly the removal of fuel subsidies, on urban transport patterns, focusing on the increased use of motorcycles for daily commuting. Methodology: A comprehensive literature review was conducted, analyzing studies on motorcycle usage in urban areas of Nigeria and other developing countries and the impact of economic policies on transportation choices. Results: The study finds that removing fuel subsidies has significantly increased motorcycle usage in Nigerian cities, particularly among low-income earners. This shift has resulted in changes to traffic flow, increased road safety concerns, and environmental challenges due to motorcycle emissions. Theoretical contribution: The paper contributes to the understanding of how economic policies can rapidly transform urban mobility patterns in developing countries, highlighting the complex interplay between affordability, safety, and environmental sustainability in transportation choices. Practical implications: The review identifies several policy interventions, including enforcing safety regulations, creating dedicated motorcycle lanes, and improving traffic management systems. It also emphasizes the need for holistic transport policies that balance economic realities with safety and sustainability concerns. Sustainable Development Goals (SDGs): SDG 11: Sustainable Cities and Communities; SDG 3: Good Health and Well-being; SDG 9: Industry, Innovation and Infrastructure; SDG 13: Climate Action; SDG 8: Decent Work and Economic Growth

Car-sharing services, which provide short-term vehicle rentals in urban centers, are rapidly expanding globally but also face numerous challenges. A significant challenge is the effective management of fleet selection to meet user expectations. Addressing this challenge, as well as methodological and literature gaps, the objective of this article is to present an original methodology that supports the evaluation of the suitability of vehicle fleets used in car-sharing systems and to identify the vehicle features preferred by users necessary for specific types of travel. The proposed methodology, which incorporates elements of transportation system modeling and concurrent analysis, was tested using a real-world case study involving a car-sharing service operator. The research focused on the commuting needs of car-sharing users for work or educational purposes. The study was conducted for a German car-sharing operator in Berlin. The research was carried out from 1 January to 30 June 2022. The findings indicate that the best vehicles for the respondents are large cars representing classes D or E, equipped with a combustion engine with a power of 63 to 149 kW, at least parking sensors, navigation, hands-free, lane assistant, heated seats, and high safety standards as indicated by Euro NCAP ratings, offered at the lowest possible rental price. The results align with market trends in Germany, which focus on the sale of at least medium-sized vehicles. This suggests a limitation of small cars in car-sharing systems, which were ideologically supposed to be a key fleet in those kinds of services. The developed methodology supports both system operators in verifying whether their fleet meets user needs and urban policymakers in effectively managing policies towards car-sharing services, including fleet composition, pricing regulations, and vehicle equipment standards. This work represents a significant step towards enhancing the efficiency of car-sharing services in the context of smart cities, where personalization and optimizing transport are crucial for sustainable development.

The study demonstrates how European Funds can play a key role in developing infrastructure, promoting green transport alternatives and influencing regional economic growth. Assessing the allocation, execution and results of these funds, the paper highlights the symbiotic relationship between investment in sustainable transport and economic progress in different regions of Romania. The research uses a panel data regression approach to assess the impact of structural funds on regional economic growth. Results prove the positive impact of ESIF investments and reveal a convergence effect between regions, indicating a "catch-up" effect.

The changes in geopolitical and ecological conditions brought about the need to use environmentally friendly sources of vehicle power. This impacted the accelerated activities related to the use of hydrogen fuel in transport means. Based on the observations carried out in the countries of Central and Eastern Europe, it was found that the process of implementing hydrogen-powered vehicles in public transport is connected with difficulties faced by transport companies with regard to the purchase of these transport means. This study aims to analyse the conditions for making decisions regarding the implementation of hydrogen-powered buses in urban transport. A case study was considered, and the factors influencing the decisions related to the application of hydrogen-powered buses in Poland were analysed. The survey method was used to carry out the research. A questionnaire was developed, and the survey was conducted among representatives of transport companies that provide public transport services in Polish cities. As a result of the research, it was found that city authorities play a key role in deciding on the implementation of hydrogen-powered buses. The highest ranks among the proposed criteria influencing the decision on the purchase of hydrogen-powered buses were the economic ones. The concerns and benefits resulting from the potential purchase of hydrogen-powered buses were also examined. It was revealed that the decision to buy buses is most influenced by factors such as ensuring access to hydrogen and its price. The recommendations for transport companies and city authorities were formulated. [ABSTRACT FROM AUTHOR]

Public Finance and Environmental Sustainability, there is a significant correlation between them as proper financial management of green policies, it is very important in the achievement of the desired sustainable future of any nation. Budgeting, which is a part of public finance, means the control of government's revenue, expenditure, and debt and plays a significant role in the development of economic stability. Mainstreaming environmental considerations in public finance is now becoming a policy imperative especially given concerns such as climate change and encanient depletion. Laying down the policies and strategies of Green Economy and analysing them from economic and environmental point of view the old review looks into different sectors like renewable energy, energy efficiency, and sustainable transport among others. Government funding, tax credits/subsidies, green bonds, and public-private partnerships are reviewed as public finance instruments in relation to such endeavours. The review also features Denmark and Singapore's case studies, explaining successful green projects and their experience. It also takes into consideration, problems of inadequate funds, political and economic barriers, problems of measurement, and perception problems. It also gestures toward future directions, highlighting newer trends in green finance and policy, that is, identifying the ways in which green finance and policy can be taken forward in the future, possible innovations and growth, implying that the processes of sustainable development often involve a varied or complex element of continued and rigorous financial planning and technological research along with the cooperative action from numerous stakeholders. [ABSTRACT FROM AUTHOR]