Pub Date : 2026-01-16DOI: 10.1016/j.tbs.2026.101237
Sui Tao, Long Cheng, Jonathan Corcoran, Susan Shaheen
{"title":"Multimodal public transport, travel behaviour, and social equity","authors":"Sui Tao, Long Cheng, Jonathan Corcoran, Susan Shaheen","doi":"10.1016/j.tbs.2026.101237","DOIUrl":"https://doi.org/10.1016/j.tbs.2026.101237","url":null,"abstract":"","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"5 1","pages":""},"PeriodicalIF":5.2,"publicationDate":"2026-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145995217","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-14DOI: 10.1016/j.tbs.2026.101239
Mengying Cui , Lijie Yu , Zhe Dai , Ang Ji , Keyue Liu , David Levinson
This study conducts a line-based accessibility analysis of high-speed railway (HSR) network expansion in the Guanzhong Plain Urban Agglomeration of China based on a multi-modal inter-city network. We propose an improved accessibility indicator that integrates opportunities and transport networks from neighboring regions, overcoming the artificial inequities inherent in traditional methods that restrict destination and route selections to rigid study area boundaries. The results reveal that the HSR network in the study area is still in the growth phase, with accessibility gains following an S-shaped trajectory, and has not yet reached maturity. Future investments are expected to sustain improvements in accessibility and spatial equity. More importantly, the operational sequence of HSR lines is less significant than their individual contributions to accessibility and equity. This implies few, if any, synergies between the HSR lines and emphasizes the importance of strategic line placement over construction order in fostering efficient and equitable regional connections, particularly in emerging HSR networks.
{"title":"Accessibility dynamics with high-speed railway network expansion: A line-specific, granular analysis","authors":"Mengying Cui , Lijie Yu , Zhe Dai , Ang Ji , Keyue Liu , David Levinson","doi":"10.1016/j.tbs.2026.101239","DOIUrl":"10.1016/j.tbs.2026.101239","url":null,"abstract":"<div><div>This study conducts a line-based accessibility analysis of high-speed railway (HSR) network expansion in the Guanzhong Plain Urban Agglomeration of China based on a multi-modal inter-city network. We propose an improved accessibility indicator that integrates opportunities and transport networks from neighboring regions, overcoming the artificial inequities inherent in traditional methods that restrict destination and route selections to rigid study area boundaries. The results reveal that the HSR network in the study area is still in the growth phase, with accessibility gains following an S-shaped trajectory, and has not yet reached maturity. Future investments are expected to sustain improvements in accessibility and spatial equity. More importantly, the operational sequence of HSR lines is less significant than their individual contributions to accessibility and equity. This implies few, if any, synergies between the HSR lines and emphasizes the importance of strategic line placement over construction order in fostering efficient and equitable regional connections, particularly in emerging HSR networks.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"43 ","pages":"Article 101239"},"PeriodicalIF":5.7,"publicationDate":"2026-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145962434","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-14DOI: 10.1016/j.tbs.2026.101236
Junmin Lee , Harin Chae , Woojin Bang , Daeho Lee , Myoungjin Oh , Jungwoo Shin , Keungoui Kim
The emergence of Urban Air Mobility (UAM) as a transformative mode of transportation is driven by the convergence of advanced information technologies, including automation and autonomous flight systems, with innovative aerial vehicle designs. Positioned as a key component of future smart and interconnected urban mobility ecosystems, UAM has attracted growing attention from both industry and policymakers. This study examines consumer preferences for UAM in South Korea using a choice-based conjoint analysis. The analysis quantifies the relative importance of key service attributes—transit time, price, operating speed, autonomy, waiting time, seat width, and luggage weight—in influencing potential adoption. The results show that transit time is the most influential attribute shaping consumer preferences, followed by price, operating speed, and autonomy. Secondary factors such as waiting time, seat width, and luggage weight also contribute to perceived service quality and convenience. These findings provide actionable insights for UAM service providers and policymakers, highlighting the need to balance efficiency, affordability, and technological advancement to foster consumer acceptance and sustainable market integration. Future research should validate these findings across different cultural and urban contexts to assess the generalisability of consumer preference structures.
{"title":"Understanding consumer preferences for Urban Air Mobility: A choice-based conjoint analysis approach with the case of South Korea","authors":"Junmin Lee , Harin Chae , Woojin Bang , Daeho Lee , Myoungjin Oh , Jungwoo Shin , Keungoui Kim","doi":"10.1016/j.tbs.2026.101236","DOIUrl":"10.1016/j.tbs.2026.101236","url":null,"abstract":"<div><div>The emergence of Urban Air Mobility (UAM) as a transformative mode of transportation is driven by the convergence of advanced information technologies, including automation and autonomous flight systems, with innovative aerial vehicle designs. Positioned as a key component of future smart and interconnected urban mobility ecosystems, UAM has attracted growing attention from both industry and policymakers. This study examines consumer preferences for UAM in South Korea using a choice-based conjoint analysis. The analysis quantifies the relative importance of key service attributes—transit time, price, operating speed, autonomy, waiting time, seat width, and luggage weight—in influencing potential adoption. The results show that transit time is the most influential attribute shaping consumer preferences, followed by price, operating speed, and autonomy. Secondary factors such as waiting time, seat width, and luggage weight also contribute to perceived service quality and convenience. These findings provide actionable insights for UAM service providers and policymakers, highlighting the need to balance efficiency, affordability, and technological advancement to foster consumer acceptance and sustainable market integration. Future research should validate these findings across different cultural and urban contexts to assess the generalisability of consumer preference structures.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"43 ","pages":"Article 101236"},"PeriodicalIF":5.7,"publicationDate":"2026-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145976682","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-13DOI: 10.1016/j.tbs.2026.101234
Matthias Sweet , Darren M. Scott
While many studies lead to expectations of significant post-pandemic telework, has this actually become the reality? Teleworking (work-from-home) may significantly change activity patterns and land markets in metropolitan areas. It stands to gut the downtowns of major metropolitan areas of their knowledge workers. Towards understanding what telework means for future transportation policy, this study explores how teleworking has changed based not only on employees’ expectations of the future, but also based on teleworking rates experienced after the pandemic. Moreover, this study explores what teleworking changes are likely to mean with respect to early fears that downtowns will become hollowed out. Using two waves (2021 and 2023) of the Future Mobility in Canada Survey (FMCS), this study updates estimates of future teleworking using fall 2023 data to reflect on the changing policy implications of teleworking propensities.
Using descriptive statistics and inferential models, this study finds teleworking has lessened between 2021 and 2023, it has decentralized out of the downtowns, it no longer disproportionately offsets transit use, and it is becoming more prominent in households with two or more vehicles. Increasing disconnects between in-person younger workers and virtual older workers portend workplace challenges. Moreover, findings suggest that policymakers will need to wrestle with the question as to whether telework should be viewed as an economic good (notably serving high-income households) or as a merit good (notably serving latent teleworking demand by women). Despite significant uncertainty over the longer-term, significant policy implications appear to hinge on non-transportation outcomes, including time poverty, workplace mentoring, and the meaning of downtowns as work hubs.
{"title":"Interpreting an unfolding future: Is teleworking as common after the pandemic as we expected? and what does it mean for policy?","authors":"Matthias Sweet , Darren M. Scott","doi":"10.1016/j.tbs.2026.101234","DOIUrl":"10.1016/j.tbs.2026.101234","url":null,"abstract":"<div><div>While many studies lead to expectations of significant post-pandemic telework, has this actually become the reality? Teleworking (work-from-home) may significantly change activity patterns and land markets in metropolitan areas. It stands to gut the downtowns of major metropolitan areas of their knowledge workers. Towards understanding what telework means for future transportation policy, this study explores how teleworking has changed based not only on employees’ expectations of the future, but also based on teleworking rates experienced after the pandemic. Moreover, this study explores what teleworking changes are likely to mean with respect to early fears that downtowns will become hollowed out. Using two waves (2021 and 2023) of the Future Mobility in Canada Survey (FMCS), this study updates estimates of future teleworking using fall 2023 data to reflect on the changing policy implications of teleworking propensities.</div><div>Using descriptive statistics and inferential models, this study finds teleworking has lessened between 2021 and 2023, it has decentralized out of the downtowns, it no longer disproportionately offsets transit use, and it is becoming more prominent in households with two or more vehicles. Increasing disconnects between in-person younger workers and virtual older workers portend workplace challenges. Moreover, findings suggest that policymakers will need to wrestle with the question as to whether telework should be viewed as an economic good (notably serving high-income households) or as a merit good (notably serving latent teleworking demand by women). Despite significant uncertainty over the longer-term, significant policy implications appear to hinge on non-transportation outcomes, including time poverty, workplace mentoring, and the meaning of downtowns as work hubs.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"43 ","pages":"Article 101234"},"PeriodicalIF":5.7,"publicationDate":"2026-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145962638","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-09DOI: 10.1016/j.tbs.2025.101228
Yucheng Wang , Long Cheng
The novel coronavirus in 2020 (COVID-19) drastically influenced the travel experience of urban transit users, particularly by reducing their perceived well-being. However, limited evidence exists on how travel-related well-being and its determinants evolve across different COVID-19 wave stages, hindering the ability to devise effective strategies for restoring service quality. To advance more resilient transit services, this study analyzed changes in the factors influencing travel-related well-being using a quasi-longitudinal survey of metro travel experiences before, during, and after the first COVID-19 wave. The survey was carried out in Xi’an, a major city in northwestern China, and yielded 528 valid responses after data cleaning. Ordered regression models were applied to compare the influence of different factors on travel-related well-being across the three temporal stages. The findings revealed a lagged psychological effect of the first COVID-19 wave on well-being, emphasizing that perceived risk and negative mood due to the pandemic had a significantly persistent impact on travel well-being, despite the elimination of strict restraints/control policies. The results also indicated that not all prevention measures were effective at every stage, suggesting the importance of dynamic temporal adjustment in resources allocation to enhance key services. Besides, the study shows that attention should not be limited to anti-epidemic attributes. Conventional attributes like waiting time and in-vehicle time remain significant, with their importance amplified during and after the COVID-19 wave. Furthermore, we profiled service resilience from the perspective of users’ subjective perceptions, i.e., before-after changes in travel well-being, and identified more vital factors for the recovery of well-being, such as conducting disinfection, controlling congestion, decreasing waiting time and in-vehicle time. Overall, this study offers lessons from a previous COVID-19 wave to inform the enhancement of transit service quality to improve passengers’ well-being, in preparation for potential/unknown public health crises in the future.
{"title":"Towards resilient transit services: Lessons from the evolution of travel-related well-being","authors":"Yucheng Wang , Long Cheng","doi":"10.1016/j.tbs.2025.101228","DOIUrl":"10.1016/j.tbs.2025.101228","url":null,"abstract":"<div><div>The novel coronavirus in 2020 (COVID-19) drastically influenced the travel experience of urban transit users, particularly by reducing their perceived well-being. However, limited evidence exists on how travel-related well-being and its determinants evolve across different COVID-19 wave stages, hindering the ability to devise effective strategies for restoring service quality. To advance more resilient transit services, this study analyzed changes in the factors influencing travel-related well-being using a quasi-longitudinal survey of metro travel experiences before, during, and after the first COVID-19 wave. The survey was carried out in Xi’an, a major city in northwestern China, and yielded 528 valid responses after data cleaning. Ordered regression models were applied to compare the influence of different factors on travel-related well-being across the three temporal stages. The findings revealed a lagged psychological effect of the first COVID-19 wave on well-being, emphasizing that perceived risk and negative mood due to the pandemic had a significantly persistent impact on travel well-being, despite the elimination of strict restraints/control policies. The results also indicated that not all prevention measures were effective at every stage, suggesting the importance of dynamic temporal adjustment in resources allocation to enhance key services. Besides, the study shows that attention should not be limited to anti-epidemic attributes. Conventional attributes like waiting time and in-vehicle time remain significant, with their importance amplified during and after the COVID-19 wave. Furthermore, we profiled service resilience from the perspective of users’ subjective perceptions, i.e., before-after changes in travel well-being, and identified more vital factors for the recovery of well-being, such as conducting disinfection, controlling congestion, decreasing waiting time and in-vehicle time. Overall, this study offers lessons from a previous COVID-19 wave to inform the enhancement of transit service quality to improve passengers’ well-being, in preparation for potential/unknown public health crises in the future.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"43 ","pages":"Article 101228"},"PeriodicalIF":5.7,"publicationDate":"2026-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145924329","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-07DOI: 10.1016/j.tbs.2026.101232
Jiayu Pan , Leonel Aguilar , Michal Gath-Morad , Ronita Bardhan , Koen Steemers
Cruise ship environments have been identified as high-risk settings for communicable disease outbreaks. The severe COVID-19 outbreaks aboard several cruise ships have further intensified concerns about transmission in these confined, densely populated environments. Although some behavioural interventions have been studied, the influence of spatial and operational design on transmission risk remains under explored.
To address this gap, this study applies agent-based modelling (ABM) to simulate passenger movement patterns on mixed-use cruise ship decks as a surrogate for infection transmission. By modelling individual movement behaviours and collisions (close-contact exposure) within the mixed-use decks, the ABM approach supports the development of spatial design and operational strategies that can reduce transmission risk and improve the efficiency and healthiness of onboard circulation. We conducted verification and parametric tests to assess model performance and designed three experiments to evaluate the effects of varying occupancy levels, infection prevalence, spatial layouts and access restriction strategies with 1181 simulation runs, the simulation results are complemented by spatial analyses of deck plans to inform evidence-based recommendations for safer cruise ship environments.
We identified three key spatial drivers of disease transmission risk on cruise ships. First, higher occupancy density and compact layouts significantly increased close-contact events, as passengers navigated narrow, poorly connected corridors. Second, the effectiveness of quarantine interventions depended not just on their presence but on their spatial placement: centrally located restrictions amplified congestion, while peripheral placement helped alleviate it. Third, simple passive design changes—such as widening corridors or enhancing internal connectivity—reduced movement bottlenecks and collisions, without requiring behavioural adaptation. Together, these findings demonstrate that spatial configuration is not merely a backdrop but a powerful determinant of health resilience in high-occupancy environments.
{"title":"Spatial and operational interventions for healthy cruise ship design using agent-based modelling","authors":"Jiayu Pan , Leonel Aguilar , Michal Gath-Morad , Ronita Bardhan , Koen Steemers","doi":"10.1016/j.tbs.2026.101232","DOIUrl":"10.1016/j.tbs.2026.101232","url":null,"abstract":"<div><div>Cruise ship environments have been identified as high-risk settings for communicable disease outbreaks. The severe COVID-19 outbreaks aboard several cruise ships have further intensified concerns about transmission in these confined, densely populated environments. Although some behavioural interventions have been studied, the influence of spatial and operational design on transmission risk remains under explored.</div><div>To address this gap, this study applies agent-based modelling (ABM) to simulate passenger movement patterns on mixed-use cruise ship decks as a surrogate for infection transmission. By modelling individual movement behaviours and collisions (close-contact exposure) within the mixed-use decks, the ABM approach supports the development of spatial design and operational strategies that can reduce transmission risk and improve the efficiency and healthiness of onboard circulation. We conducted verification and parametric tests to assess model performance and designed three experiments to evaluate the effects of varying occupancy levels, infection prevalence, spatial layouts and access restriction strategies with 1181 simulation runs, the simulation results are complemented by spatial analyses of deck plans to inform evidence-based recommendations for safer cruise ship environments.</div><div>We identified three key spatial drivers of disease transmission risk on cruise ships. First, higher occupancy density and compact layouts significantly increased close-contact events, as passengers navigated narrow, poorly connected corridors. Second, the effectiveness of quarantine interventions depended not just on their presence but on their spatial placement: centrally located restrictions amplified congestion, while peripheral placement helped alleviate it. Third, simple passive design changes—such as widening corridors or enhancing internal connectivity—reduced movement bottlenecks and collisions, without requiring behavioural adaptation. Together, these findings demonstrate that spatial configuration is not merely a backdrop but a powerful determinant of health resilience in high-occupancy environments.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"43 ","pages":"Article 101232"},"PeriodicalIF":5.7,"publicationDate":"2026-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145924330","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-06DOI: 10.1016/j.tbs.2025.101230
Umer Mansoor , Yu Gu , Anthony Chen
Car ownership and car type choice are critical components of transportation planning, yet the interplay between these decisions and the impact of emerging vehicle technologies, such as autonomous vehicles (AVs), remain underexplored. As AVs become more prevalent, travelers’ perceptions and behaviors regarding their safety and security may affect their adoption. This study investigates how travelers’ risk perceptions (safety, security, and range anxiety) shape their joint decisions to own a car and select a vehicle type within a multimodal transportation system. We propose a discrete choice modeling-based equilibrium analysis framework that integrates a dogit model to capture captivity effects in car ownership decisions and a nested logit model to account for similarities among car types. The framework is formulated as a mathematical programming problem, ensuring solution existence and uniqueness. Numerical experiments on a toy network and a real-world case study reveal that reductions in travelers’ risk perceptions toward AVs lead to significant increases in AV adoption, highlighting the critical role of public trust in transitioning to AV-dominated markets. By explicitly linking risk perceptions to long-term transportation planning, this model equips policymakers with a tool to design strategies that address behavioral barriers to AV adoption while balancing efficiency and safety objectives.
{"title":"Modeling travelers’ joint car ownership and car type choice behavior: The role of autonomous vehicle safety-security perceptions","authors":"Umer Mansoor , Yu Gu , Anthony Chen","doi":"10.1016/j.tbs.2025.101230","DOIUrl":"10.1016/j.tbs.2025.101230","url":null,"abstract":"<div><div>Car ownership and car type choice are critical components of transportation planning, yet the interplay between these decisions and the impact of emerging vehicle technologies, such as autonomous vehicles (AVs), remain underexplored. As AVs become more prevalent, travelers’ perceptions and behaviors regarding their safety and security may affect their adoption. This study investigates how travelers’ risk perceptions (safety, security, and range anxiety) shape their joint decisions to own a car and select a vehicle type within a multimodal transportation system. We propose a discrete choice modeling-based equilibrium analysis framework that integrates a dogit model to capture captivity effects in car ownership decisions and a nested logit model to account for similarities among car types. The framework is formulated as a mathematical programming problem, ensuring solution existence and uniqueness. Numerical experiments on a toy network and a real-world case study reveal that reductions in travelers’ risk perceptions toward AVs lead to significant increases in AV adoption, highlighting the critical role of public trust in transitioning to AV-dominated markets. By explicitly linking risk perceptions to long-term transportation planning, this model equips policymakers with a tool to design strategies that address behavioral barriers to AV adoption while balancing efficiency and safety objectives.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"43 ","pages":"Article 101230"},"PeriodicalIF":5.7,"publicationDate":"2026-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145924327","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-03DOI: 10.1016/j.tbs.2025.101229
Hong Zhang , Xiangrong Xue , Guocong Zhai , Hongtai Yang , Xiaozhao Lu , Christopher R. Cherry
The emergence of Urban Air Mobility (UAM) is expected to be a potential solution to improve travel efficiency and mitigate traffic congestion. However, choice preferences for UAM are still understudied, especially for the megacities in China. This study investigates the choice preferences for UAM through a hybrid modeling framework that integrates the Latent Class Discrete Choice Model (LCDCM) with the Mixed Logit Model (MLM). A total of 410 respondents were sampled to represent Chengdu residents in 2024. The LCDCM was first applied to identify distinct traveler segments. Then, leveraging soft-classification probabilities as weights, cluster-specific MLMs were estimated to uncover systematic heterogeneity in preferences across groups. Five user classes were identified, mainly characterized by car ownership, safety concerns, and occupation. The MLM results reveal substantial heterogeneity in sensitivity to fares, in-vehicle time, and out-of-vehicle time. Methodologically, this study provides a novel hybrid approach to capture the observed and unobserved heterogeneity of choice preferences. This study practically helps researchers, practitioners, and government agencies to understand the choice preferences of UAM and promote the deployment of UAM in megacities.
{"title":"Choice Preferences for Urban Air Mobility: A Latent Class Discrete Choice Model with Mixed Logit Extensions","authors":"Hong Zhang , Xiangrong Xue , Guocong Zhai , Hongtai Yang , Xiaozhao Lu , Christopher R. Cherry","doi":"10.1016/j.tbs.2025.101229","DOIUrl":"10.1016/j.tbs.2025.101229","url":null,"abstract":"<div><div>The emergence of Urban Air Mobility (UAM) is expected to be a potential solution to improve travel efficiency and mitigate traffic congestion. However, choice preferences for UAM are still understudied, especially for the megacities in China. This study investigates the choice preferences for UAM through a hybrid modeling framework that integrates the Latent Class Discrete Choice Model (LCDCM) with the Mixed Logit Model (MLM). A total of 410 respondents were sampled to represent Chengdu residents in 2024. The LCDCM was first applied to identify distinct traveler segments. Then, leveraging soft-classification probabilities as weights, cluster-specific MLMs were estimated to uncover systematic heterogeneity in preferences across groups. Five user classes were identified, mainly characterized by car ownership, safety concerns, and occupation. The MLM results reveal substantial heterogeneity in sensitivity to fares, in-vehicle time, and out-of-vehicle time. Methodologically, this study provides a novel hybrid approach to capture the observed and unobserved heterogeneity of choice preferences. This study practically helps researchers, practitioners, and government agencies to understand the choice preferences of UAM and promote the deployment of UAM in megacities.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"43 ","pages":"Article 101229"},"PeriodicalIF":5.7,"publicationDate":"2026-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145883687","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-03DOI: 10.1016/j.tbs.2025.101227
Xinyu Chen, Doosun Hong, Sunghoon Jang
With the development of drone technology, drone delivery services are gradually being commercialized; however, the service still faces challenges such as immature technology, insufficient publicity, and public concerns about privacy issues. This study aims to identify the key factors affecting consumers’ intention to use drone delivery services and propose improvement strategies to promote the widespread adoption of drone delivery services. Through an online survey of Seoul residents, this survey collected 491 valid questionnaires, examining various characteristics such as gender, age, and online shopping behaviors. By using hybrid generalized ordered logit model, this study analyzed the relationship between individual characteristics, perceived service quality, and usage intention. The findings reveal that eight perceived service qualities have varying degrees of influence on usage intention. Delivery time, noise and privacy are key factors for ’high intent’ consumers, while functionality, safety from infection and delivery time are top factors for ’medium intent’ consumers. In addition, males, those under 40, and those with higher levels of education show a stronger intention to use. Enterprises should enhance the visibility of drone delivery services, optimize service quality, and offer customized services tailored to different groups. Simultaneously, the government should strengthen its focus on data security and legal standards. This study provides both theoretical insights and practical recommendations for the future development of drone delivery services.
{"title":"Unraveling influence of perceived service quality of drone delivery service on behavioral intentions","authors":"Xinyu Chen, Doosun Hong, Sunghoon Jang","doi":"10.1016/j.tbs.2025.101227","DOIUrl":"10.1016/j.tbs.2025.101227","url":null,"abstract":"<div><div>With the development of drone technology, drone delivery services are gradually being commercialized; however, the service still faces challenges such as immature technology, insufficient publicity, and public concerns about privacy issues. This study aims to identify the key factors affecting consumers’ intention to use drone delivery services and propose improvement strategies to promote the widespread adoption of drone delivery services. Through an online survey of Seoul residents, this survey collected 491 valid questionnaires, examining various characteristics such as gender, age, and online shopping behaviors. By using hybrid generalized ordered logit model, this study analyzed the relationship between individual characteristics, perceived service quality, and usage intention. The findings reveal that eight perceived service qualities have varying degrees of influence on usage intention. Delivery time, noise and privacy are key factors for ’high intent’ consumers, while functionality, safety from infection and delivery time are top factors for ’medium intent’ consumers. In addition, males, those under 40, and those with higher levels of education show a stronger intention to use. Enterprises should enhance the visibility of drone delivery services, optimize service quality, and offer customized services tailored to different groups. Simultaneously, the government should strengthen its focus on data security and legal standards. This study provides both theoretical insights and practical recommendations for the future development of drone delivery services.</div></div>","PeriodicalId":51534,"journal":{"name":"Travel Behaviour and Society","volume":"43 ","pages":"Article 101227"},"PeriodicalIF":5.7,"publicationDate":"2026-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145883688","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-03DOI: 10.1016/j.tbs.2025.101231
Shuchao Cao , Luhan Ma , Ying Zhou , Xiangxia Ren , Yiping Zeng , Xiaoxia Yang , Peng Wang
In recent years, urban floods caused by heavy rains occur frequently, leading to heavy casualties and economic losses worldwide. Transportation network serves as the backbone of urban lifeline engineering, which is crucial for ensuring residents’ safety and emergency evacuation in flood disasters. Therefore, to investigate the flood hazard for pedestrians and vehicles during the rainstorm, an urban rain-flood coupling model is firstly established and validated to accurately simulate the flood inundation process by fusing multiple types of high-precision data. Four rainfall patterns with return periods of 5 years, 10 years, 50 years and 100 years are designed based on the Chicago rainfall method. The critical instability conditions for heterogeneous pedestrians and vehicles are obtained. Finally, a quantitative assessment framework for flood hazard on urban roads is proposed based on flood simulation results and instability risk analysis. The results indicate that the flood hazard level for pedestrians and vehicles increases with the increment of rainfall intensity and duration. Compared to pedestrians, the adverse impact of floods on vehicles is greater since the length of dangerous roads for vehicles increases by 4.5 times. Compared with adults and SUVs, children and cars are more vulnerable to floods, with the length of dangerous roads increasing by 6 times and 90 % respectively. In emergency circumstances, based on the flood hazard distribution and evacuation distances, feasible evacuation routes and evacuation modes in different residential areas are planned to ensure the safety of citizens. The study is helpful to improve emergency responses and traffic management under urban flood disasters.
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