Pub Date : 2025-11-04DOI: 10.1016/j.cstp.2025.101641
Kelvin Asamoah Terkper , Milhan Moomen , M. Ashifur Rahman , Nurul-Haq Mohammed , Waseem Akhtar Khan , Julius Codjoe
Predicting vehicle availability supports transportation planning by informing strategies to manage growing ownership and its effects on mobility and sustainability. This study applies spatially-hybrid machine learning models to explore vehicle availability patterns in Louisiana census tracts, a region characterized by a predominantly car-dependent culture and a mix of urban–rural dynamics, incorporating spatial factors such as geographic proximity and transit infrastructure for a comprehensive analysis. A custom spatial random forest (SpatialRF) model was used to select spatial predictors, which were then applied to train five ML models: Random Forest (RF), Artificial Neural Network (ANN), Support Vector Regressor (SVR), K-Nearest Neighbor (KNN), and Extreme Gradient Boosting (XGBoost). Key findings reveal that employment in the labor force, total working population, population aged 15–64 years, and median household income positively influence vehicle availability due to increased commuting needs and financial capacity, while smaller households (under 5 persons) and enhanced transit infrastructure reduce ownership by lowering transportation demand. The models exhibited strong performance, with values ranging from 0.88 to 0.91 and low error metrics (RMSE, MAE, MSE), indicating high predictive accuracy and goodness of fit. Shapley Additive exPlanations (SHAP) were employed to interpret variable importance from the best-performing XGBoost model. This research highlights the limitations of traditional statistical models in capturing complex, non-linear relationships and demonstrates the potential of spatially-aware ML techniques to enhance transportation planning through more informed trip generation estimates, supporting better infrastructure and policy decisions.
{"title":"Understanding vehicle availability patterns using census data with spatially-hybrid machine learning models","authors":"Kelvin Asamoah Terkper , Milhan Moomen , M. Ashifur Rahman , Nurul-Haq Mohammed , Waseem Akhtar Khan , Julius Codjoe","doi":"10.1016/j.cstp.2025.101641","DOIUrl":"10.1016/j.cstp.2025.101641","url":null,"abstract":"<div><div>Predicting vehicle availability supports transportation planning by informing strategies to manage growing ownership and its effects on mobility and sustainability. This study applies spatially-hybrid machine learning models to explore vehicle availability patterns in Louisiana census tracts, a region characterized by a predominantly car-dependent culture and a mix of urban–rural dynamics, incorporating spatial factors such as geographic proximity and transit infrastructure for a comprehensive analysis. A custom spatial random forest (SpatialRF) model was used to select spatial predictors, which were then applied to train five ML models: Random Forest (RF), Artificial Neural Network (ANN), Support Vector Regressor (SVR), K-Nearest Neighbor (KNN), and Extreme Gradient Boosting (XGBoost). Key findings reveal that employment in the labor force, total working population, population aged 15–64 years, and median household income positively influence vehicle availability due to increased commuting needs and financial capacity, while smaller households (under 5 persons) and enhanced transit infrastructure reduce ownership by lowering transportation demand. The models exhibited strong performance, with <span><math><msup><mrow><mi>R</mi></mrow><mn>2</mn></msup></math></span> values ranging from 0.88 to 0.91 and low error metrics (RMSE, MAE, MSE), indicating high predictive accuracy and goodness of fit. Shapley Additive exPlanations (SHAP) were employed to interpret variable importance from the best-performing XGBoost model. This research highlights the limitations of traditional statistical models in capturing complex, non-linear relationships and demonstrates the potential of spatially-aware ML techniques to enhance transportation planning through more informed trip generation estimates, supporting better infrastructure and policy decisions.</div></div>","PeriodicalId":46989,"journal":{"name":"Case Studies on Transport Policy","volume":"22 ","pages":"Article 101641"},"PeriodicalIF":3.3,"publicationDate":"2025-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145465664","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-11-01DOI: 10.1016/j.cstp.2025.101640
Ying Sun
The paper studies the opening of Beijing Daxing International Airport (BDIA) and the accompanying transfer of flight capacity by Eastern Airlines and Southern Airlines to BDIA away from Beijing Capital International Airport (BCIA). The study treats this transfer as an exit event at BCIA (and the announcement of the capacity reduction as a potential exit event) to study how incumbents at BCIA react to the (potential) exit. It is found that, as potential market exit has occurred, the incumbents of BCIA increase fares close to and far away from the departure date and reduce fares when the departure date is neither close nor far away. Meanwhile, when the departure date is neither close nor far away, incumbents also reduce code-sharing and seat supply. The reasons for incumbents’ preemptive actions may be lock-in effect or competition softening. In addition, this paper also implies a ‘ratchet’ effect by potential market exit.
{"title":"Dual airports, market exit and airline competition——evidence of the Chinese market","authors":"Ying Sun","doi":"10.1016/j.cstp.2025.101640","DOIUrl":"10.1016/j.cstp.2025.101640","url":null,"abstract":"<div><div>The paper studies the opening of Beijing Daxing International Airport (BDIA) and the accompanying transfer of flight capacity by Eastern Airlines and Southern Airlines to BDIA away from Beijing Capital International Airport (BCIA). The study treats this transfer as an exit event at BCIA (and the announcement of the capacity reduction as a potential exit event) to study how incumbents at BCIA react to the (potential) exit. It is found that, as potential market exit has occurred, the incumbents of BCIA increase fares close to and far away from the departure date and reduce fares when the departure date is neither close nor far away. Meanwhile, when the departure date is neither close nor far away, incumbents also reduce code-sharing and seat supply. The reasons for incumbents’ preemptive actions may be lock-in effect or competition softening. In addition, this paper also implies a ‘ratchet’ effect by potential market exit.</div></div>","PeriodicalId":46989,"journal":{"name":"Case Studies on Transport Policy","volume":"23 ","pages":"Article 101640"},"PeriodicalIF":3.3,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145520893","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-28DOI: 10.1016/j.cstp.2025.101636
Yanan Liu, Youhai Tang
Urban population growth in high-density cities has intensified the demand for non-commuting travel, such as shopping and leisure. Public transportation, especially metro systems, plays a critical role in meeting these demands due to its efficiency and extensive coverage. However, metro stations and their surrounding built environments are often designed primarily for commuters, creating accessibility challenges for non-commuters. This study investigates how the built environment influences the proportion of non-commuting trips around metro stations in high-density cities. Using Random Forest and SHapley Additive exPlanations (SHAP) analysis, this study identifies key built environment factors and their nonlinear effects on non-commuter trips. For instance, in high-density cities, a higher commercial land coverage significantly attracts non-commuters, while moderate commercial land coverage has a sharp decline in nonlinear effects. A combination of high commercial land coverage, low road density, and low building density fosters higher non-commuting travel, contrasting with low-density cities. Additionally, commuting and non-commuting trips show distinct dependencies on bus stops, with non-commuters relying less on such facilities. Commercial land exhibits a positive effect beyond roughly 25% coverage. The utility of green spaces also demonstrates nonlinearity (benefits plateau near 20%), as their effectiveness is tied to integration with other functions rather than simply increasing their area. This study provides critical insights for policymakers and urban planners, emphasizing the importance of integrating green spaces, promoting land use diversity, and providing commercial and recreational services in transit-oriented development (TOD) strategies to foster more accessible and vibrant metro station areas that cater to diverse travel purposes.
{"title":"Analyzing the impact of built environment on proportion of non-commuting trips around metro stations in high-density cities","authors":"Yanan Liu, Youhai Tang","doi":"10.1016/j.cstp.2025.101636","DOIUrl":"10.1016/j.cstp.2025.101636","url":null,"abstract":"<div><div>Urban population growth in high-density cities has intensified the demand for non-commuting travel, such as shopping and leisure. Public transportation, especially metro systems, plays a critical role in meeting these demands due to its efficiency and extensive coverage. However, metro stations and their surrounding built environments are often designed primarily for commuters, creating accessibility challenges for non-commuters. This study investigates how the built environment influences the proportion of non-commuting trips around metro stations in high-density cities. Using Random Forest and SHapley Additive exPlanations (SHAP) analysis, this study identifies key built environment factors and their nonlinear effects on non-commuter trips. For instance, in high-density cities, a higher commercial land coverage significantly attracts non-commuters, while moderate commercial land coverage has a sharp decline in nonlinear effects. A combination of high commercial land coverage, low road density, and low building density fosters higher non-commuting travel, contrasting with low-density cities. Additionally, commuting and non-commuting trips show distinct dependencies on bus stops, with non-commuters relying less on such facilities. Commercial land exhibits a positive effect beyond roughly 25% coverage. The utility of green spaces also demonstrates nonlinearity (benefits plateau near 20%), as their effectiveness is tied to integration with other functions rather than simply increasing their area. This study provides critical insights for policymakers and urban planners, emphasizing the importance of integrating green spaces, promoting land use diversity, and providing commercial and recreational services in transit-oriented development (TOD) strategies to foster more accessible and vibrant metro station areas that cater to diverse travel purposes.</div></div>","PeriodicalId":46989,"journal":{"name":"Case Studies on Transport Policy","volume":"22 ","pages":"Article 101636"},"PeriodicalIF":3.3,"publicationDate":"2025-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145415972","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-27DOI: 10.1016/j.cstp.2025.101639
Kittipong Tissayakorn
{"title":"Corrigendum to “Consumers’ decisions to purchase electric vehicles in Bangkok, Thailand” [Case Stud. Transp. Policy 21 (2025) 101536]","authors":"Kittipong Tissayakorn","doi":"10.1016/j.cstp.2025.101639","DOIUrl":"10.1016/j.cstp.2025.101639","url":null,"abstract":"","PeriodicalId":46989,"journal":{"name":"Case Studies on Transport Policy","volume":"22 ","pages":"Article 101639"},"PeriodicalIF":3.3,"publicationDate":"2025-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145525388","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-25DOI: 10.1016/j.cstp.2025.101638
Yung-Hsiang Cheng, Chiang Fu, Chih-Chun Huang, Yen-Chu Lai
An autonomous bus (AB) is proposed as a connecting service for public transport (PT) stations, but there is limited evidence on user preferences during the pandemic. This study investigates how the pandemic influences rail-based AB connecting preferences relative to the existing feeder modes while exploring different potential user preference profiles. Using stated preference data from 479PT users in Taiwan (February–March 2021), we estimate a latent class choice model with a contextual scale contrasting a controllable pandemic situation with an outbreak. The results indicate that AB preferences are influenced not only by mobility attributes and pandemic conditions but also by users’ attitudes and heterogeneity. Four segments are identified: cost-averters, autonomous vehicle (AV) enthusiasts, privacy-conscious individuals, and punctuality-sensitive riders. Outbreak conditions generally decrease AB adoption for all but AV enthusiasts. Longer in-vehicle time, representing exposure duration, is closely linked to lower AB choice probabilities. Segments vary in AB preferences: cost-averters respond strongly to price; privacy-conscious riders switch to taxis during outbreaks; and punctuality-sensitive riders prioritize reliable runtime. The strategies to improve AB connecting services and meet segment-specific needs are discussed. These insights aim to support the resilient deployment of ABs during the pandemic or in routine operations afterward.
{"title":"Exploring the impact of the pandemic on the autonomous bus connecting service preferences with latent segmentation approach","authors":"Yung-Hsiang Cheng, Chiang Fu, Chih-Chun Huang, Yen-Chu Lai","doi":"10.1016/j.cstp.2025.101638","DOIUrl":"10.1016/j.cstp.2025.101638","url":null,"abstract":"<div><div>An autonomous bus (AB) is proposed as a connecting service for public transport (PT) stations, but there is limited evidence on user preferences during the pandemic. This study investigates how the pandemic influences rail-based AB connecting preferences relative to the existing feeder modes while exploring different potential user preference profiles. Using stated preference data from 479PT users in Taiwan (February–March 2021), we estimate a latent class choice model with a contextual scale contrasting a controllable pandemic situation with an outbreak. The results indicate that AB preferences are influenced not only by mobility attributes and pandemic conditions but also by users’ attitudes and heterogeneity. Four segments are identified: cost-averters, autonomous vehicle (AV) enthusiasts, privacy-conscious individuals, and punctuality-sensitive riders. Outbreak conditions generally decrease AB adoption for all but AV enthusiasts. Longer in-vehicle time, representing exposure duration, is closely linked to lower AB choice probabilities. Segments vary in AB preferences: cost-averters respond strongly to price; privacy-conscious riders switch to taxis during outbreaks; and punctuality-sensitive riders prioritize reliable runtime. The strategies to improve AB connecting services and meet segment-specific needs are discussed. These insights aim to support the resilient deployment of ABs during the pandemic or in routine operations afterward.</div></div>","PeriodicalId":46989,"journal":{"name":"Case Studies on Transport Policy","volume":"22 ","pages":"Article 101638"},"PeriodicalIF":3.3,"publicationDate":"2025-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145465667","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-24DOI: 10.1016/j.cstp.2025.101633
Stavros Skarlis , Andreas Nikiforiadis , Annie Kortsari , Josep Maria Salanova Grau , Georgia Ayfantopoulou
Battery electric buses have the potential to mitigate carbon emissions from the public transport sector. The electrification of city bus lines is a challenging process though, requiring (among others) careful assessment of the electric vehicles’ energy consumption and the definition of the charging strategy. In this respect, the scope of the present work is to demonstrate a comprehensive methodology for developing strategic insights into the energy consumption and the charging strategy of battery electric buses. For this purpose, an innovative framework, including state of the art longitudinal dynamics-based vehicle modeling, statistical methods (sensitivity analysis, Monte Carlo simulation and design of experiments), as well as real diving data is applied. This approach allowed for the quantification of the uncertainty associated with the impact of stochastic electric bus operation on the vehicle’s energy consumption and autonomy. At the same time, the proposed framework allowed for a thorough optimization of the charging strategy of the fleet, taking into account the specific characteristics of bus lines to be electrified. Ultimately, the conclusions of this work are generalized and translated into actionable items to provide policy makers and transport operators with strategic insights, which can support decision making relevant to the electrification of city bus lines.
{"title":"Mathematical modeling using real driving data for decision making in city buses electrification","authors":"Stavros Skarlis , Andreas Nikiforiadis , Annie Kortsari , Josep Maria Salanova Grau , Georgia Ayfantopoulou","doi":"10.1016/j.cstp.2025.101633","DOIUrl":"10.1016/j.cstp.2025.101633","url":null,"abstract":"<div><div>Battery electric buses have the potential to mitigate carbon emissions from the public transport sector. The electrification of city bus lines is a challenging process though, requiring (among others) careful assessment of the electric vehicles’ energy consumption and the definition of the charging strategy. In this respect, the scope of the present work is to demonstrate a comprehensive methodology for developing strategic insights into the energy consumption and the charging strategy of battery electric buses. For this purpose, an innovative framework, including state of the art longitudinal dynamics-based vehicle modeling, statistical methods (sensitivity analysis, Monte Carlo simulation and design of experiments), as well as real diving data is applied. This approach allowed for the quantification of the uncertainty associated with the impact of stochastic electric bus operation on the vehicle’s energy consumption and autonomy. At the same time, the proposed framework allowed for a thorough optimization of the charging strategy of the fleet, taking into account the specific characteristics of bus lines to be electrified. Ultimately, the conclusions of this work are generalized and translated into actionable items to provide policy makers and transport operators with strategic insights, which can support decision making relevant to the electrification of city bus lines.</div></div>","PeriodicalId":46989,"journal":{"name":"Case Studies on Transport Policy","volume":"22 ","pages":"Article 101633"},"PeriodicalIF":3.3,"publicationDate":"2025-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145415973","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The rapid expansion of intercity railway systems has created complex patterns of inequality between urban and rural users, yet existing research lacks comparative frameworks to assess how service factors influence multidimensional inequality across different geographical contexts. This study examines the differential impacts of railway service factors on inequality perceptions in Thailand, addressing the critical gap in measurement invariance validation between urban and rural populations. Data were collected through face-to-face surveys at railway stations across Thailand’s six regional corridors (urban n = 943, rural n = 734), employing stratified random sampling to ensure representative coverage. Using structural equation modeling and multi-group measurement invariance analysis, the study tested relationships between six service factors (transport connectivity, station location, station safety, onboard safety, fare reasonableness, and fare flexibility) and seven inequality dimensions (cultural, spatial, social, political, knowledge, economic, and environmental). Results revealed significant measurement non-invariance between groups (Δχ2 = 240.148, p < 0.001), indicating that urban and rural users conceptualize railway inequality differently. Paradoxically, improved connectivity and fare flexibility increased inequality perceptions (urban: β = 0.258, 0.311; rural: β = 0.415, 0.555), while station safety and fare reasonableness reduced perceived inequality. Rural users demonstrated stronger effect sizes across all relationships, with the model explaining substantially more variance (R2 = 0.609) compared to urban users (R2 = 0.329). This study contributes to the first validated multidimensional inequality framework for railway services and establishes methodological precedents for measurement invariance testing in transport equity research, providing evidence that universal service standards may inadequately address diverse geographical contexts.
{"title":"Railway service factors and multidimensional inequality: measurement invariance analysis of urban and rural users in Thailand","authors":"Dissakoon Chonsalasin , Thanapong Champahom , Sajjakaj Jomnonkwao , Vatanavongs Ratanavaraha","doi":"10.1016/j.cstp.2025.101637","DOIUrl":"10.1016/j.cstp.2025.101637","url":null,"abstract":"<div><div>The rapid expansion of intercity railway systems has created complex patterns of inequality between urban and rural users, yet existing research lacks comparative frameworks to assess how service factors influence multidimensional inequality across different geographical contexts. This study examines the differential impacts of railway service factors on inequality perceptions in Thailand, addressing the critical gap in measurement invariance validation between urban and rural populations. Data were collected through face-to-face surveys at railway stations across Thailand’s six regional corridors (urban n = 943, rural n = 734), employing stratified random sampling to ensure representative coverage. Using structural equation modeling and multi-group measurement invariance analysis, the study tested relationships between six service factors (transport connectivity, station location, station safety, onboard safety, fare reasonableness, and fare flexibility) and seven inequality dimensions (cultural, spatial, social, political, knowledge, economic, and environmental). Results revealed significant measurement non-invariance between groups (<em>Δχ<sup>2</sup></em> = 240.148, <em>p <</em> 0.001), indicating that urban and rural users conceptualize railway inequality differently. Paradoxically, improved connectivity and fare flexibility increased inequality perceptions (urban: <em>β</em> = 0.258, 0.311; rural: <em>β</em> = 0.415, 0.555), while station safety and fare reasonableness reduced perceived inequality. Rural users demonstrated stronger effect sizes across all relationships, with the model explaining substantially more variance (<em>R<sup>2</sup></em> = 0.609) compared to urban users (<em>R<sup>2</sup></em> = 0.329). This study contributes to the first validated multidimensional inequality framework for railway services and establishes methodological precedents for measurement invariance testing in transport equity research, providing evidence that universal service standards may inadequately address diverse geographical contexts.</div></div>","PeriodicalId":46989,"journal":{"name":"Case Studies on Transport Policy","volume":"22 ","pages":"Article 101637"},"PeriodicalIF":3.3,"publicationDate":"2025-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145415963","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-24DOI: 10.1016/j.cstp.2025.101629
Zhijun Meng , Jiachi Ji , Lulu Liu , Siyuan Liu , Zhen Sun , Qingfang Xiao , Zikang Yang
With continuous technological advancement and the growing demand for modern transportation, the low-altitude economy has emerged as a critical component of future air transportation systems and has gradually become a focal point of research in both academia and industry. As a core technological enabler within the low-altitude economy, electric Vertical Take-Off and Landing aircraft are widely regarded as a fundamental pillar for constructing urban air mobility systems and advancing next-generation low-altitude transportation networks. Based on an in-depth analysis of the development context of the low-altitude economy, this paper systematically reviews the historical evolution and current state of research on eVTOL aircraft. It focuses on key technical aspects including flight performance metrics, overall aerodynamic configurations, distributed electric propulsion systems, long-endurance battery technologies, intelligent autonomous flight, digital low-altitude traffic management systems, as well as airworthiness and safety assurance. The review synthesizes and compares existing research achievements, identifying current technological bottlenecks and future trends. Finally, the paper explores the sustainable development and commercialization prospects of eVTOL in complex urban environments from both technological and market-oriented perspectives, aiming to provide theoretical insights and technical support for the construction of future low-altitude transportation systems.
{"title":"eVTOL aircraft for the low-altitude economy: A review of development history, core technologies, and future trends","authors":"Zhijun Meng , Jiachi Ji , Lulu Liu , Siyuan Liu , Zhen Sun , Qingfang Xiao , Zikang Yang","doi":"10.1016/j.cstp.2025.101629","DOIUrl":"10.1016/j.cstp.2025.101629","url":null,"abstract":"<div><div>With continuous technological advancement and the growing demand for modern transportation, the low-altitude economy has emerged as a critical component of future air transportation systems and has gradually become a focal point of research in both academia and industry. As a core technological enabler within the low-altitude economy, electric Vertical Take-Off and Landing aircraft are widely regarded as a fundamental pillar for constructing urban air mobility systems and advancing next-generation low-altitude transportation networks. Based on an in-depth analysis of the development context of the low-altitude economy, this paper systematically reviews the historical evolution and current state of research on eVTOL aircraft. It focuses on key technical aspects including flight performance metrics, overall aerodynamic configurations, distributed electric propulsion systems, long-endurance battery technologies, intelligent autonomous flight, digital low-altitude traffic management systems, as well as airworthiness and safety assurance. The review synthesizes and compares existing research achievements, identifying current technological bottlenecks and future trends. Finally, the paper explores the sustainable development and commercialization prospects of eVTOL in complex urban environments from both technological and market-oriented perspectives, aiming to provide theoretical insights and technical support for the construction of future low-altitude transportation systems.</div></div>","PeriodicalId":46989,"journal":{"name":"Case Studies on Transport Policy","volume":"22 ","pages":"Article 101629"},"PeriodicalIF":3.3,"publicationDate":"2025-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145465666","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-23DOI: 10.1016/j.cstp.2025.101634
Marcin Król , Michał Zajfert
Re-municipalization is an important trend in public service delivery. The literature on this subject is growing, with more and more cases being reported and analyzed. Most contributions focus on explaining motives for re-municipalization, while ex-post empirical studies are relatively scarce. The most studied sectors include water distribution, waste management and energy, whereas public transport remains under-researched. Against this background, the purpose of this paper is to report evidence from Poland, where in-house operators set up by regional authorities have become a key link in the supply chain of stakeholders responsible for providing regional rail services. This governance mechanism has proven to be successful: our longitudinal analysis shows that in 2010–2022 the efficiency of using public funding of regional rail services in Poland was higher for services contracted from in-house operators than for those contracted from the incumbent. The evidence presented in our paper demonstrates that market-based governance mechanisms, be they competitive tendering or negotiated outsourced contracts, are not the unique and only purposeful modes to seek such goals as efficiency, effectiveness and other public values in organizing public transport.
{"title":"Re-municipalization as an alternative governance mechanism in regional rail in Poland: Longitudinal efficiency analysis 2010–2022","authors":"Marcin Król , Michał Zajfert","doi":"10.1016/j.cstp.2025.101634","DOIUrl":"10.1016/j.cstp.2025.101634","url":null,"abstract":"<div><div>Re-municipalization is an important trend in public service delivery. The literature on this subject is growing, with more and more cases being reported and analyzed. Most contributions focus on explaining motives for re-municipalization, while ex-post empirical studies are relatively scarce. The most studied sectors include water distribution, waste management and energy, whereas public transport remains under-researched. Against this background, the purpose of this paper is to report evidence from Poland, where in-house operators set up by regional authorities have become a key link in the supply chain of stakeholders responsible for providing regional rail services. This governance mechanism has proven to be successful: our longitudinal analysis shows that in 2010–2022 the efficiency of using public funding of regional rail services in Poland was higher for services contracted from in-house operators than for those contracted from the incumbent. The evidence presented in our paper demonstrates that market-based governance mechanisms, be they competitive tendering or negotiated outsourced contracts, are not the unique and only purposeful modes to seek such goals as efficiency, effectiveness and other public values in organizing public transport.</div></div>","PeriodicalId":46989,"journal":{"name":"Case Studies on Transport Policy","volume":"22 ","pages":"Article 101634"},"PeriodicalIF":3.3,"publicationDate":"2025-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145465665","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-21DOI: 10.1016/j.cstp.2025.101635
Yuhao Cao , Reuben Singh Darshan Singh , Scott Caldwell , Richard Clarke , Chia-Hsun Chang , Zhuohua Qu , Zaili Yang
Under the UK’s carbon neutrality goals for 2050, the Liverpool City Region’s (LCR) strategic positioning, with its rich industrial heritage and infrastructure assets such as extensive port facilities and proximity to vast renewable energy resources, positions it as a potential leader in the UK’s shift towards a hydrogen economy. Given this, the regional hydrogen industry and stakeholders in decarbonisation initiatives intend to undertake a critical review of the opportunities, challenges and uncertainties to local hydrogen supply and demand systems to assist in their decision-making. To achieve this goal, this study reviews the readiness of the hydrogen supply chain infrastructure within the LCR, which highlights four sectors in the hydrogen economy, i.e., production, storage, transportation, and utilisation. Subsequently, to offer the first-hand data in practice, a multi-faceted approach that incorporates a broad array of stakeholders through the Triple Helix (TH) model is adopted. Special attention is given to hydrogen’s role in transforming heavy industry, transportation, and heating sectors, supported by significant local projects like HyNet North West. During a roundtable discussion, industry-academia-government stakeholders identify challenges in scaling up infrastructure and assess the economic and technological landscape for hydrogen adoption. To the best of our knowledge, this will be the first regional academic endeavour to comprehensively examine the alignment between hydrogen supply and demand, theory and practice. Based on a detailed SWOT analysis, this study outlines the region’s strengths, including established industrial clusters and technological capabilities in manufacturing. It also highlights weaknesses such as the high costs associated with emerging hydrogen technologies, technological immaturity, and gaps in necessary infrastructure. The opportunities presented by national policy incentives and growing global demand for sustainable energy solutions are considered alongside threats, including regulatory complexities and the slow pace of public acceptance. This comprehensive examination not only maps the current landscape but also sets the stage for strategic interventions needed to realise hydrogen’s full potential within the LCR, aiming to guide policymakers, industry leaders, and researchers in their efforts to foster a viable hydrogen economy. Moreover, the findings offer valuable insights that can inform the development of hydrogen strategies in other regions and cities.
根据英国2050年的碳中和目标,利物浦城市地区(LCR)的战略定位,凭借其丰富的工业遗产和基础设施资产,如广泛的港口设施和接近大量的可再生能源,使其成为英国向氢经济转变的潜在领导者。鉴于此,区域氢工业和脱碳倡议的利益相关者打算对当地氢供需系统的机遇、挑战和不确定性进行批判性审查,以协助他们做出决策。为了实现这一目标,本研究回顾了LCR内氢供应链基础设施的准备情况,重点介绍了氢经济中的四个部门,即生产、储存、运输和利用。随后,为了在实践中提供第一手数据,采用了一种多方面的方法,通过三螺旋(TH)模型纳入了广泛的利益相关者。特别关注氢在改造重工业、交通运输和供暖部门方面的作用,并得到HyNet North West等重要地方项目的支持。在圆桌讨论中,行业-学术界-政府利益相关者确定了扩大基础设施的挑战,并评估了采用氢的经济和技术前景。据我们所知,这将是第一个全面研究氢供需、理论与实践之间一致性的区域性学术努力。基于详细的SWOT分析,本研究概述了该地区的优势,包括已建立的产业集群和制造业的技术能力。报告还强调了与新兴氢技术相关的高成本、技术不成熟以及必要基础设施的差距等弱点。国家政策激励和全球对可持续能源解决方案日益增长的需求所带来的机遇,与监管复杂性和公众接受速度缓慢等威胁一起被考虑。这项全面的研究不仅描绘了当前的格局,而且为在LCR内实现氢的全部潜力所需的战略干预奠定了基础,旨在指导政策制定者、行业领导者和研究人员努力培育可行的氢经济。此外,研究结果还提供了有价值的见解,可以为其他地区和城市的氢战略发展提供信息。
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