Pub Date : 2025-12-01DOI: 10.1007/s11116-025-10701-x
Nishtha Srivastava, Bhavesh N. Gohil, Suprio Ray
{"title":"Travel time prediction: unveiling the impact of spatio-temporal features on trip duration with eXplainable AI","authors":"Nishtha Srivastava, Bhavesh N. Gohil, Suprio Ray","doi":"10.1007/s11116-025-10701-x","DOIUrl":"https://doi.org/10.1007/s11116-025-10701-x","url":null,"abstract":"","PeriodicalId":49419,"journal":{"name":"Transportation","volume":"198200 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145645289","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}
Traveling in inclement winter weather is challenging due to reduced mobility and increased travel risks. It is essential to aid commuters in making adequate pre-travel decisions under such conditions by providing real-time information on road and weather conditions. This study investigates factors that affect the effectiveness of such information on commuting routes, using data collected via a stated-preference survey. Respondents were asked to make travel decisions (likelihood of canceling their trip) based on observable outdoor weather conditions in their neighborhoods and route-specific road and weather conditions conveyed through digital media platforms. The real-time location and short-term trajectory of snowplowing trucks were also presented to evaluate impacts of such information on travel decisions during winter weather. The random parameter multinomial logit model with means and variances heterogeneity model was applied for modeling travel decisions given different weather and information scenarios. The results demonstrate that such information can significantly influence pre-travel decision-making during winter weather, with the display of snowplow truck status notably increasing likelihood to commute. The study underscores the importance of customizing information delivery strategies, as their effectiveness varies based on respondent income, job requirements, commuting distances, driving experience, and vehicle performance. Furthermore, an equity issue was identified, indicating that commuters with in-person working requirements and low income are more likely to take travel risks regardless of road and weather conditions. This study provides valuable insights for technology developers, policymakers, and traffic operators regarding the potential impacts of delivering information of real-time road and weather conditions on the route to commuters.
{"title":"Evaluating pre-travel decision making under snowy weather for commuting trips","authors":"Jiajun Pang, Gongda Yu, Irina Benedyk, Panagiotis Anastasopoulos","doi":"10.1007/s11116-025-10676-9","DOIUrl":"https://doi.org/10.1007/s11116-025-10676-9","url":null,"abstract":"Traveling in inclement winter weather is challenging due to reduced mobility and increased travel risks. It is essential to aid commuters in making adequate pre-travel decisions under such conditions by providing real-time information on road and weather conditions. This study investigates factors that affect the effectiveness of such information on commuting routes, using data collected via a stated-preference survey. Respondents were asked to make travel decisions (likelihood of canceling their trip) based on observable outdoor weather conditions in their neighborhoods and route-specific road and weather conditions conveyed through digital media platforms. The real-time location and short-term trajectory of snowplowing trucks were also presented to evaluate impacts of such information on travel decisions during winter weather. The random parameter multinomial logit model with means and variances heterogeneity model was applied for modeling travel decisions given different weather and information scenarios. The results demonstrate that such information can significantly influence pre-travel decision-making during winter weather, with the display of snowplow truck status notably increasing likelihood to commute. The study underscores the importance of customizing information delivery strategies, as their effectiveness varies based on respondent income, job requirements, commuting distances, driving experience, and vehicle performance. Furthermore, an equity issue was identified, indicating that commuters with in-person working requirements and low income are more likely to take travel risks regardless of road and weather conditions. This study provides valuable insights for technology developers, policymakers, and traffic operators regarding the potential impacts of delivering information of real-time road and weather conditions on the route to commuters.","PeriodicalId":49419,"journal":{"name":"Transportation","volume":"245 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145614168","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 : 2025-11-28DOI: 10.1007/s11116-025-10703-9
Dawei Wu, Zijun Wang, Xuedong Yan, Lu Ma
{"title":"Exploring the spatial heterogeneity of micro-mobility ownership based on the geographically weighted Poisson regression model: an empirical study from a small and medium-sized plain city","authors":"Dawei Wu, Zijun Wang, Xuedong Yan, Lu Ma","doi":"10.1007/s11116-025-10703-9","DOIUrl":"https://doi.org/10.1007/s11116-025-10703-9","url":null,"abstract":"","PeriodicalId":49419,"journal":{"name":"Transportation","volume":"1 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145610944","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 : 2025-11-28DOI: 10.1007/s11116-025-10702-w
Hamid Bagha, Farhana Murtaza Choudhury, Stephan Winter
{"title":"Melbourne’s parking dynamics and traffic flow: a dataset for microscopic agent-based simulation","authors":"Hamid Bagha, Farhana Murtaza Choudhury, Stephan Winter","doi":"10.1007/s11116-025-10702-w","DOIUrl":"https://doi.org/10.1007/s11116-025-10702-w","url":null,"abstract":"","PeriodicalId":49419,"journal":{"name":"Transportation","volume":"16 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145610938","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 : 2025-11-27DOI: 10.1007/s11116-025-10695-6
Matheus Barboza, Mariana Giannotti, Anna Grigolon, Karst Geurs
{"title":"Mobility variability of favela residents of São Paulo based on mobile phone data","authors":"Matheus Barboza, Mariana Giannotti, Anna Grigolon, Karst Geurs","doi":"10.1007/s11116-025-10695-6","DOIUrl":"https://doi.org/10.1007/s11116-025-10695-6","url":null,"abstract":"","PeriodicalId":49419,"journal":{"name":"Transportation","volume":"18 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145609040","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 : 2025-11-21DOI: 10.1007/s11116-025-10693-8
Anastasia Soukhov, Ignacio Tiznado-Aitken, Matthew Palm, Steven Farber, Antonio Paez
{"title":"Standards of fairness in the transportation literature","authors":"Anastasia Soukhov, Ignacio Tiznado-Aitken, Matthew Palm, Steven Farber, Antonio Paez","doi":"10.1007/s11116-025-10693-8","DOIUrl":"https://doi.org/10.1007/s11116-025-10693-8","url":null,"abstract":"","PeriodicalId":49419,"journal":{"name":"Transportation","volume":"235 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145567265","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 : 2025-11-18DOI: 10.1007/s11116-025-10697-4
K. W. Axhausen
{"title":"Editorial note on this collection of “data papers”","authors":"K. W. Axhausen","doi":"10.1007/s11116-025-10697-4","DOIUrl":"https://doi.org/10.1007/s11116-025-10697-4","url":null,"abstract":"","PeriodicalId":49419,"journal":{"name":"Transportation","volume":"7 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145536722","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}
Currently, Japan is entering a phase of infrastructure improvement that requires repair of highways and bridges. However, large-scale renewal work that requires long-term road closure is rare. Therefore, this study analyzes the construction activities on the Hanshin Expressway, which involve road closures, to understand their impact on traffic conditions. Understanding the actual situation is useful for improving prediction models and calibrating simulations. This study focused on vehicle-trajectory data, where the ease of data collection, quantity, and accuracy have improved in recent years. The use of vehicle-trajectory data enables the changing behavior of each vehicle to be tracked when road networks are disrupted. This paper presents a method for detecting the impact of roadworks on vehicle trajectories by comparing normal conditions, lane restrictions, and road closures. Specifically, we proposed a special origin and destination (OD) identification procedure and a route-choice variety index corresponding to changes in the set of selectable routes based on road closures. Subsequently, this was used to identify the characteristics of susceptible ODs based on the traffic flow, travel time, and route choice. The results showed that detours were extensive and spread over many routes during OD trips sandwiched between construction sections. The different levels and types of impact caused by the characteristics of ODs could be useful for traffic management in upcoming renewal projects.
{"title":"Vehicle trajectory changes on a closed road network due to major renewal works","authors":"Hiroe Ando, Yasuo Asakura, Takuya Maruyama, Shinji Nakagawa","doi":"10.1007/s11116-025-10698-3","DOIUrl":"https://doi.org/10.1007/s11116-025-10698-3","url":null,"abstract":"Currently, Japan is entering a phase of infrastructure improvement that requires repair of highways and bridges. However, large-scale renewal work that requires long-term road closure is rare. Therefore, this study analyzes the construction activities on the Hanshin Expressway, which involve road closures, to understand their impact on traffic conditions. Understanding the actual situation is useful for improving prediction models and calibrating simulations. This study focused on vehicle-trajectory data, where the ease of data collection, quantity, and accuracy have improved in recent years. The use of vehicle-trajectory data enables the changing behavior of each vehicle to be tracked when road networks are disrupted. This paper presents a method for detecting the impact of roadworks on vehicle trajectories by comparing normal conditions, lane restrictions, and road closures. Specifically, we proposed a special origin and destination (OD) identification procedure and a route-choice variety index corresponding to changes in the set of selectable routes based on road closures. Subsequently, this was used to identify the characteristics of susceptible ODs based on the traffic flow, travel time, and route choice. The results showed that detours were extensive and spread over many routes during OD trips sandwiched between construction sections. The different levels and types of impact caused by the characteristics of ODs could be useful for traffic management in upcoming renewal projects.","PeriodicalId":49419,"journal":{"name":"Transportation","volume":"19 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145509377","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 : 2025-11-14DOI: 10.1007/s11116-025-10692-9
Ziang Yao, Jonas Fahlbusch, Jan-Dirk Schmöcker, Dong Zhang
Since 2015, free-floating bicycle schemes have been flourishing worldwide due to their easy booking and mobile payment systems. Despite numerous publications, there remains a significant gap in understanding how app users select their bikes and how spatial barriers, such as intersections or temporary availability uncertainty (during peak times), influence their choices. In order to explore the factors affecting users’ preferences while using the smartphone app, an online survey was conducted in China in 2022. The study evaluates traveller preferences for bicycle usage based on visual stated preference scenarios in which screenshots with potential bike pick-up locations were presented to the respondents. Mixed logit and nested multinomial logistic regression were applied to 9512 valid observations from 1189 respondents. The findings reveal that walking and cycling distance, reservation time, cost, number of intersections, and risk are estimated to have a significant influence on which bicycle is chosen or whether walking is preferred. All parameters have the expected sign, though we observe significant heterogeneity among users. The nested structure furthermoreprovides evidence that travelers are more likely to change their bicycle choice than their reservation status. For example, extending the time a bike is reservable by 5 min can be as valuable as reducing the walking access time by 50–100 m or increasing the fare by 1 CNY. Our results further highlight the importance of detailed locational decisions where shared bicycles are placed. If the operator is able to place bicycles in locations where many travelers do not have to cross intersections, this can offset price increases.
{"title":"How do app users select a free-floating bicycle? A stated preference survey investigating choice behaviour using generated screenshots","authors":"Ziang Yao, Jonas Fahlbusch, Jan-Dirk Schmöcker, Dong Zhang","doi":"10.1007/s11116-025-10692-9","DOIUrl":"https://doi.org/10.1007/s11116-025-10692-9","url":null,"abstract":"Since 2015, free-floating bicycle schemes have been flourishing worldwide due to their easy booking and mobile payment systems. Despite numerous publications, there remains a significant gap in understanding how app users select their bikes and how spatial barriers, such as intersections or temporary availability uncertainty (during peak times), influence their choices. In order to explore the factors affecting users’ preferences while using the smartphone app, an online survey was conducted in China in 2022. The study evaluates traveller preferences for bicycle usage based on visual stated preference scenarios in which screenshots with potential bike pick-up locations were presented to the respondents. Mixed logit and nested multinomial logistic regression were applied to 9512 valid observations from 1189 respondents. The findings reveal that walking and cycling distance, reservation time, cost, number of intersections, and risk are estimated to have a significant influence on which bicycle is chosen or whether walking is preferred. All parameters have the expected sign, though we observe significant heterogeneity among users. The nested structure furthermoreprovides evidence that travelers are more likely to change their bicycle choice than their reservation status. For example, extending the time a bike is reservable by 5 min can be as valuable as reducing the walking access time by 50–100 <jats:italic>m</jats:italic> or increasing the fare by 1 CNY. Our results further highlight the importance of detailed locational decisions where shared bicycles are placed. If the operator is able to place bicycles in locations where many travelers do not have to cross intersections, this can offset price increases.","PeriodicalId":49419,"journal":{"name":"Transportation","volume":"39 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145509378","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}
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