Journal of Public Transportation最新文献

{"title":"LingoTrip: Spatiotemporal context prompt driven large language model for individual trip prediction","authors":"Zhenlin Qin ,&nbsp;Pengfei Zhang ,&nbsp;Leizhen Wang ,&nbsp;Zhenliang Ma","doi":"10.1016/j.jpubtr.2025.100117","DOIUrl":"10.1016/j.jpubtr.2025.100117","url":null,"abstract":"<div><div>Large language models (LLMs) showed superior performance in many language-related tasks. It is promising to model the individual mobility prediction problem as a language model and use pretrained LLMs to predict the individual next trip information (e.g., time and location) for personalized travel recommendations. Theoretically, it is expected to overcome the common limitations of data-driven prediction models in zero/few shot learning, generalization, and interpretability. The paper proposes a LingoTrip model for predicting individual next trip location by designing the spatiotemporal context prompts for LLMs. The designed prompting strategies enable LLMs to capture implicit land use information (trip purposes), spatiotemporal mobility patterns (choice preferences), and geographical dependencies of the stations used (choice variability). The lingoTrip is validated using Hong Kong Mass Transit Railway trip data by comparing it with the state-of-the-art data-driven mobility prediction models under different training data sizes. Sensitivity analyses are performed for model hyperparameters and their tuning methods to adapt for other datasets. The results show that LingoTrip outperforms data-driven models in terms of prediction accuracy, transferability (between individuals), zero/few shot learning (limited training sample size) and interpretability of predictions. The LingoTrip model can facilitate the effective provision of personalized information for system crowding and disruption contexts (i.e., proactively providing information to targeted individuals).</div></div>","PeriodicalId":47173,"journal":{"name":"Journal of Public Transportation","volume":"27 ","pages":"Article 100117"},"PeriodicalIF":2.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143167473","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The personal safety burden for women taking public transport in Australia and implications for provision of equitable public transport","authors":"Julie A. King ,&nbsp;Dominique A. Greer ,&nbsp;Rae S.M. Danvers ,&nbsp;Byron W. Keating","doi":"10.1016/j.jpubtr.2025.100118","DOIUrl":"10.1016/j.jpubtr.2025.100118","url":null,"abstract":"<div><div>Travel on public transport for women is associated with concerns about safety from harassment and violence, and women may avoid public transport or make changes to their travel as a consequence. This qualitative research aimed to explore women’s experiences on public transport, the steps they take to avoid harassment and violence, and what they thought could be done to improve their safety. Women (n = 44) in Australia’s two largest cities, Sydney and Melbourne, were recruited for focus group discussions and their responses were analysed thematically. The results showed that women experience a personal safety burden, due to the need to anticipate possible exposure to harassment and violence, plan ways of avoiding or mitigating the risk, and use defensive tactics to cope with uncomfortable situations. This personal safety burden has five dimensions: cognitive, temporal, emotional, financial and social. The responses showed that women tended to take the public transport system as a given, and to believe they needed to take responsibility for their own safety, so that they did not nominate particular solutions for public transport providers to implement. However, it was evident that the features of public transport travel that participants felt were safer, such as the presence of trained staff, are diminishing with the move to greater use of technology and automation. It is considered that public transport providers have an obligation to ensure that women are not disadvantaged by the personal safety burden observed in this research. It is recommended that public transport providers note the existing features that women find safer (e.g., well-lit environment, presence of trained staff) and seek to extend their provision; and investigate innovative means of maintaining and enhancing safety for women while pursing technological change.</div></div>","PeriodicalId":47173,"journal":{"name":"Journal of Public Transportation","volume":"27 ","pages":"Article 100118"},"PeriodicalIF":2.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143168293","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The influence of walking accessibility on station-to-station passenger flow and its interaction with metropolitan race/class segregation: A case study of MARTA’s heavy-rail network, Atlanta (USA)","authors":"Luis Enrique Ramos-Santiago ,&nbsp;Luke Derochers","doi":"10.1016/j.jpubtr.2024.100115","DOIUrl":"10.1016/j.jpubtr.2024.100115","url":null,"abstract":"<div><div>Mass transit is a key transport strategy in helping cities decarbonize, adapt to an era of rapid climate change, and guide rapid urbanization. Central to transit planning is the ability to accurately estimate demand for an effective, efficient, and equitable infrastructure and services. Instrumental to this effort is direct-demand modelling (DDM), which has evolved to become more nuanced in predicting ridership at station-level and station-<em>to</em>-station levels and in shedding light on key ridership and performance determinants. <em>Local</em> and <em>Metropolitan</em> accessibility as predictors of transit patronage has been shown significant in recent DDM studies at station-level, with an apparent synergistic relationship. This, however, has not been explored on a station-<em>to</em>-station passenger flow level. In several ways this is a more valid unit of analysis for rail ridership studies as it captures critical factors between and at both ends of the trip that are experienced by the passenger. It is also well documented that the sensitivity of passengers to key ridership determinants varies across income levels. In some jurisdictions income level strongly correlates with race/ethnicity and/or class, due in part to historical legacies of classism and/or racism. Segregation because of class and/or race prejudice, often found in US cities, might yield spatial heterogeneity in whole-network DDM model parameters and introduce bias that could potentially mislead transit analysts, policy makers, and systemwide effectiveness. We explored and tested these possibilities and considered modelling and policy implications as we leveraged Atlanta’s legacy of racial and income segregation in studying MARTA’s Origin-Destination (O-D) passenger flow patterns. First, a potential synergistic relationship between origin-stations’ and destination-stations’ walking accessibility levels was tested. Disparities, if any, in this and other ridership determinants were then explored between two distinct sets of O-D pairs whose origin Pedsheds accommodate majority-white or majority-nonwhite residents. Comparison and testing using generalized crossed-effects modelling reveals important differences in fit, magnitude, and significance of some parameters across submodels and as compared to the whole-network model. We also identified distinct moderating effects of distance between O-D pair stations and walking accessibility levels across submodels. In racially- and/or class-segregated cities planners would benefit from developing race- and/or class-based DDM submodels that would likely yield less biassed parameters; improve our understanding of rail transit patronage determinants; and help in crafting more effective and equitable transit and land-use policies.</div></div>","PeriodicalId":47173,"journal":{"name":"Journal of Public Transportation","volume":"27 ","pages":"Article 100115"},"PeriodicalIF":2.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143168294","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploring antecedents of passengers’ behavioral intentions toward autonomous buses: A decomposed planning behavior approach","authors":"Kai-Chieh Hu ,&nbsp;Li-Hao Yang","doi":"10.1016/j.jpubtr.2025.100116","DOIUrl":"10.1016/j.jpubtr.2025.100116","url":null,"abstract":"<div><div>The increasing prominence of autonomous buses in metropolitan transportation has sparked considerable interest. However, the absence of a comprehensive theoretical framework hinders the systematic exploration of factors influencing passengers’ behavioral intentions regarding autonomous buses. This study addresses this gap by employing the decomposed planning behavior theory to investigate the antecedents of passengers’ behavioral intentions. Additionally, the study examines the impact of travel anxiety and perceived risk on passengers’ attitudes. Data were collected through a questionnaire survey, and structural equation modeling was utilized to rigorously test the research model. The findings reveal that purchase intention is positively influenced by novelty seeking, subjective norm, and perceived behavioral control, while being negatively impacted by travel anxiety. Conversely, travel anxiety is negatively influenced by novelty seeking but positively affected by perceived risk. Moreover, interpersonal influence positively affects subjective norm, and self-efficacy has a positive influence on perceived behavioral control. This study offers valuable insights for current and potential bus operators and government entities seeking to advance the promotion of autonomous buses in metropolitan areas.</div></div>","PeriodicalId":47173,"journal":{"name":"Journal of Public Transportation","volume":"27 ","pages":"Article 100116"},"PeriodicalIF":2.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143319507","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Data-driven causal behaviour modelling from trajectory data: A case for fare incentives in public transport","authors":"Yuanyuan Wu ,&nbsp;Alex Markham ,&nbsp;Leizhen Wang ,&nbsp;Liam Solus ,&nbsp;Zhenliang Ma","doi":"10.1016/j.jpubtr.2024.100114","DOIUrl":"10.1016/j.jpubtr.2024.100114","url":null,"abstract":"<div><div>Behaviour modelling has been widely explored using both statistical and machine learning techniques, primarily relying on analyzing correlations to understand passenger responses under different conditions and scenarios. However, correlation alone does not imply causation. This paper introduces a data-driven causal behaviour modelling approach, comprising two phases: causal discovery and causal inference. Causal discovery phase uses Peter-Clark (PC) algorithm to learn a directed acyclic graph that captures the causal relationships among variables. Causal inference phase estimates the corresponding model parameters and infers (conditional) causal effects of interventions designed to influence user behaviour. The method is validated by comparing the results with those from conventional modelling approaches (logistic regression and expert knowledge) using smart card data from a real-world use case on a pre-peak fare discount incentive program in the Hong Kong Mass Transit Railway system. The results highlight that the purely data-driven causal discovery method can produce reasonable causal graph. The method can also quantify the behavioural impacts of the incentive, identify key influencing factors, and estimate the corresponding causal effects. The overall causal effect of the incentive is approximately 0.7 %, with about 3 % of the population changing behaviour from previous statistical analysis. Interestingly, passengers with the highest flexibility exhibit a negative response, while those with medium-to-high flexibility demonstrate 3 times of the general level of responsiveness. The approach initiates the data-driven, causal modelling of human behaviour dynamics to support policy developments and managerial interventions.</div></div>","PeriodicalId":47173,"journal":{"name":"Journal of Public Transportation","volume":"27 ","pages":"Article 100114"},"PeriodicalIF":2.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143168444","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Decency in the digital era: Exploring preferences of transit riding among females in different life stages","authors":"Bing Yan ,&nbsp;Chen Wan ,&nbsp;Yinli Chen ,&nbsp;Chengcheng Yu ,&nbsp;Lu Huang","doi":"10.1016/j.jpubtr.2024.100112","DOIUrl":"10.1016/j.jpubtr.2024.100112","url":null,"abstract":"<div><div>Investigating women’s public transit usage intentions (TUIs) is essential for enhancing service quality and ensuring female passengers’ travel rights. However, for women with distinct socioeconomic backgrounds, the heterogeneity of factors impacting their TUIs is not thoroughly explored. In this research, we conducted a survey in Hangzhou, China, collected 1294 valid questionnaires from women, and employed the Latent Class Analysis method (LCA) and Ordered Logit Model (OLM) to identify the distinct determinants of TUIs among different female groups. The findings reveal that: (1) Retired elderly women, who are less able to walk, require more spatial accessibility of transit services and the availability to reduce their first/last-mile walking and waiting time; (2) Middle-aged and high-income groups prioritize comfort, punctuality, and safety, particularly favoring the provision of ladies-only seating areas; (3) Young and student groups' transit usage is predominantly influenced by fare policies. By incorporating digital technologies, customized operational strategies such as real-time transit information systems, surveillance cameras, tiered discount schemes, and digital payment services are recommended to improve the TUIs among different female groups. Our work contributes to creating a more female-friendly public transit environment.</div></div>","PeriodicalId":47173,"journal":{"name":"Journal of Public Transportation","volume":"27 ","pages":"Article 100112"},"PeriodicalIF":2.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143167472","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Benefits from a new transit line: Exploring the impact of rare users and spatially heterogeneous variations in intensity of use","authors":"Durba Kundu ,&nbsp;Somwrita Sarkar ,&nbsp;Emily Moylan","doi":"10.1016/j.jpubtr.2025.100120","DOIUrl":"10.1016/j.jpubtr.2025.100120","url":null,"abstract":"<div><div>What are the city-wide benefits of introducing a new transit mode? Justification of a new transit mode is often based on claims of transformational change regarding mode share, ridership, or passenger-kilometers travelled (PKT). Detractors argue that these dramatic benefits are not experienced uniformly across populations or places. This paper quantifies the extent and intensity of the change in travel behaviour caused by the addition of a new mode and builds on measures of increased ridership and PKT to explore who is travelling on the new mode and in what ways. Recent advances in smartcard data analysis provide detailed insights into transit ridership but are often temporally limited, restricting the ability to analyse long-term behavioural trends. While research on transit ridership patterns exists, few studies compare users of the old and new modes in terms of spatial distribution and intensity of use. This study relies on a long baseline of data to estimate the home locations of travellers and their intensity of use. Our findings challenge assumptions about infrequent users and reveal that rare users significantly influence ridership patterns. Increased reach of ridership is substantiated based on the appearance of new cards 48 % higher than usual after the light rail introduction. However, only about 4 % of new card IDs make trips at a rate equivalent to a daily commute. The results show strong spatial patterns, with 50 % of frequent light rail riders having inferred home locations at the new stations and 63 % of daily riders not using the bus to access the light rail. This approach suggests that (1) rare users, though they ride less often, have a notable impact on ridership trends; (2) transit-access distances are shorter than conventional assumptions of approximately half-a-mile; and (3) ridership benefits show strong spatial patterns.</div></div>","PeriodicalId":47173,"journal":{"name":"Journal of Public Transportation","volume":"27 ","pages":"Article 100120"},"PeriodicalIF":2.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143799467","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Simulating the effect of strategies to increase transit ridership by reallocating bus service: Two case studies","authors":"Gregory D. Erhardt ,&nbsp;Vedant S. Goyal ,&nbsp;Josephine Kressner ,&nbsp;Simon J. Berrebi ,&nbsp;Candace Brakewood ,&nbsp;Kari E. Watkins","doi":"10.1016/j.jpubtr.2023.100080","DOIUrl":"https://doi.org/10.1016/j.jpubtr.2023.100080","url":null,"abstract":"<div><p>We evaluate three strategies that transit operators might consider to increase ridership: a) increasing service on bus routes serving the highest share of low-income riders, b) increasing service on those bus routes with the highest ridership, and c) further providing the high-ridership routes identified in strategy (b) with exclusive bus lanes. In each scenario, we double the service frequency of buses on the focus routes and reduce the frequency on all other routes to maintain the total vehicle revenue miles, making the changes roughly cost-neutral. We tested these scenarios for Oshkosh, Wisconsin, and Atlanta, Georgia, using a modeling framework that combines CityCast, a commercially available data-driven planning tool to replicate observed travel patterns, and MATSim to simulate how travelers would change the route, mode, and time-of-day of the trips they make in response to the service changes. The results show substantial ridership gains for all but one scenario, suggesting that these strategies may provide a promising, low-cost means of increasing transit ridership in some contexts. However, impacts varied across the two case studies, indicating that local conditions play a role.</p></div>","PeriodicalId":47173,"journal":{"name":"Journal of Public Transportation","volume":"26 ","pages":"Article 100080"},"PeriodicalIF":12.2,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1077291X23000413/pdfft?md5=b4ca2b55ee95272129193dfbe790fe89&pid=1-s2.0-S1077291X23000413-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139108439","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploring the effects of cooperative adaptive cruise control-based transit bus operation on signalized corridors","authors":"Xu Wang,&nbsp;Di Yu,&nbsp;Bingbing Xue,&nbsp;Fei Ma,&nbsp;Rongjian Dai","doi":"10.1016/j.jpubtr.2024.100088","DOIUrl":"https://doi.org/10.1016/j.jpubtr.2024.100088","url":null,"abstract":"<div><p>The world’s transportation system is overburdened by ever-growing travel demand, which brings mobility, safety, and pollution problems. To combat these issues and make better use of existing road capacity on urban arterials, public transit buses are designed to carry more people in fewer vehicles. However, transit buses travel slowly and make frequent intermittent stops, resulting in unreliable travel times and inconvenient riding experiences; this hinders people from choosing to travel on public transit buses. However, a research gap exists in using connected and automated vehicle (CAV) technologies specifically for transit bus operation optimization. To bridge this gap, the present study extended CAV applications to transit bus operation and developed a transit bus control method based on cooperative adaptive cruise control (CACC). The proposed model first optimized bus segment speeds to minimize schedule deviations and fuel consumption. Then, a CACC algorithm was integrated with optimal segment speed. The proposed control method was implemented through micro-simulations of an actual corridor in Jinan, Shandong, China. The evaluation results indicate that the proposed control method reduced the total arrival deviation up to 65.1% and total fuel consumption up to 6.8%. The study adapts CAV technologies to transit bus operation. The findings in this study validate CAV applications in transit bus operation.</p></div>","PeriodicalId":47173,"journal":{"name":"Journal of Public Transportation","volume":"26 ","pages":"Article 100088"},"PeriodicalIF":12.2,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1077291X24000080/pdfft?md5=cc5dc9f1254a6b91c70796c6c6b5a7b1&pid=1-s2.0-S1077291X24000080-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140540495","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhancing social acceptance of women’s mobility for equitable transport: Behavioural theories driven approach","authors":"Muhammad Ashraf Javid ,&nbsp;Nazam Ali ,&nbsp;Muhammad Abdullah ,&nbsp;Ryan Cheuk Pong Wong","doi":"10.1016/j.jpubtr.2024.100109","DOIUrl":"10.1016/j.jpubtr.2024.100109","url":null,"abstract":"<div><div>Women’s mobility is hindered by socio-cultural norms, especially in developing countries, which limits their choices and opportunities for education and employment. This study aims to investigate social acceptance of women’s mobility and promote equitable transport services for women in Pakistan. A survey questionnaire was developed, incorporating the concepts of the Theory of Planned Behaviour and Norm Activation Model, and was administrated online for data collection. A total of 478 responses were gathered and analysed utilizing the multivariate Structural Equation Modelling technique. The model results reveal that attitudes, subjective norms, and personal norms, are significant determinants of the social acceptance of women’s mobility. While perceived behavioural control does not emerge as a significant predictor of the social acceptance, it is a significant positive predictor in influencing perceived transport policies, which play a mediating role. Road users’ awareness and sense of responsibility are important in enhancing women’s mobility by improving their security and reducing harassment on roads and public transport. Society's confidence and social support for independent women travellers, as well as acceptance of women as drivers, are vital in improving their access to schools and workplaces. Other supportive transport policies, including preferred parking, dedicated facilities, and specialized carpooling programs, are recommended. The outcomes of this study hold significant implications for transport planners and decision-makers, offering valuable insights for the provision of equitable transport services for women.</div></div>","PeriodicalId":47173,"journal":{"name":"Journal of Public Transportation","volume":"26 ","pages":"Article 100109"},"PeriodicalIF":2.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143093951","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}