Journal of Public Transportation最新文献

{"title":"Evaluating the accessibility and equity of key amenities in the X-minute and Y-monetary-cost city: A double-threshold cumulative opportunity measure","authors":"Yue Chen ,&nbsp;Shunping Jia ,&nbsp;Qi Xu","doi":"10.1016/j.jpubtr.2025.100128","DOIUrl":"10.1016/j.jpubtr.2025.100128","url":null,"abstract":"<div><div>Accessibility is essential for the equitable planning of key amenities such as job, healthcare, and education in the X-minute city. However, previous studies tend to ignore the monetary cost of travel in accessibility modelling or fail to provide an effective accessibility planning tool based on the monetary cost. To fill the gap, this paper proposes a double threshold cumulative opportunity measure considering the travel time and monetary cost and applies it in the accessibility and equity evaluation of six amenities by public transportation (PT) and private car (PC) in the X-minute and Y-monetary-cost city. The effects of the monetary cost on accessibility and equity are fully explored. And the proposed method is compared with traditional accessibility models to show its advantages. The results from two typical combinations of thresholds show that the accessibility of all amenities by PT is still much lower than that of PC. It also presents a more uneven spatial distribution, originating from the accessibility gap in different housing areas. Among different amenities, education and scenery are the most inequitably distributed. Moreover, the incorporation of the travel cost threshold is needed in modelling as the traditional method will overestimate the accessibility and have contrary effects on the equity of PT and PC. Compared with existing methods, the double-threshold cumulative opportunity measure has better simplicity and interpretability. And the new model is more general as the traditional method can be viewed as a special form of it. This study provides insights for planners and policymakers to make targeted adjustments to resource allocation and transportation policies in future transportation and urban planning in the X-minute and Y-monetary-cost city.</div></div>","PeriodicalId":47173,"journal":{"name":"Journal of Public Transportation","volume":"27 ","pages":"Article 100128"},"PeriodicalIF":2.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144490414","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Measuring transit service reliability at the route level? Exploring the relationship between reliability measures and ridership","authors":"Meisam Ghasedi ,&nbsp;Jinhyung Lee ,&nbsp;Scott Bell ,&nbsp;Ehab Diab","doi":"10.1016/j.jpubtr.2025.100132","DOIUrl":"10.1016/j.jpubtr.2025.100132","url":null,"abstract":"<div><div>Transit agencies are in a consistent struggle to offer an attractive service that draws a higher level of ridership. To improve the attractiveness of the service, one of the key objectives of agencies is to enhance transit service reliability. Service reliability refers to service punctuality and adherence to schedule. A considerable number of studies have focused on understanding the general factors affecting reliability. Nevertheless, it is rare to find studies that explore the association between different reliability measures and transit usage at the route level. Therefore, the aim of this study is to assess how different reliability measures relate to public transit-usage and which measures best explain variations in transit ridership. In total, 22 transit reliability measures that ranged from on-time performance (OTP) measures to service variation measures were assessed. Using land-use, socioeconomic, and detailed ridership datasets, in addition to data obtained from Winnipeg Transit’s Automated Vehicle Location (AVL) system, random coefficients mixed-effect models were estimated at the route level. The results show that, generally, deviation-based measures performed better than OTP measures in explaining transit ridership at the route level. The reliability measure of absolute deviation at terminals performed best in predicting variations in transit ridership, while controlling several influential factors. More importantly, the improvements in predication of ridership due to the use of reliability measures varied according to route’s ridership. This study offers planners and policymakers helpful insights into understanding the relationship between transit service reliability measures of choice and transit ridership at the route level of analysis.</div></div>","PeriodicalId":47173,"journal":{"name":"Journal of Public Transportation","volume":"27 ","pages":"Article 100132"},"PeriodicalIF":2.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144579814","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Planning for gold: identifying opportunities for public transport interventions through machine learning and appraisal automation","authors":"David Arquati,&nbsp;Liam McGrath","doi":"10.1016/j.jpubtr.2025.100136","DOIUrl":"10.1016/j.jpubtr.2025.100136","url":null,"abstract":"<div><div>Improving public transport connectivity is crucial for decarbonisation and economic growth. Current transport planning approaches to addressing connectivity problems rely on trial-and-error approaches to identify problems and generate options, limited by planners' incomplete knowledge and the overwhelming volume of available travel data.</div><div>We introduce a machine-assisted approach to identify opportunities for connectivity enhancements from origin-destination data and generate prioritised intervention options. Using an origin-destination matrix for Greater London covering approximately 1200 activity centres, our method applies trajectory clustering to identify potential high-demand corridors with poor public transport quality.</div><div>Our prototype automatically generates multiple public transport scheme options (local bus, express bus, metro) within these corridors along with approximate operating costs. These options are batch-tested using accelerated assignment modelling that optimises mode choice, frequency, and route generation, and the results are given ordered according to benefit-cost ratios.</div><div>This approach is now being used to supplement human planners’ knowledge in the development of new express bus services in London.</div></div>","PeriodicalId":47173,"journal":{"name":"Journal of Public Transportation","volume":"27 ","pages":"Article 100136"},"PeriodicalIF":2.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144865742","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploring changes in station catchment areas after opening new urban rail transit lines using cellular signalling data","authors":"Yan Cheng ,&nbsp;Yuan Qin ,&nbsp;Sitao Wang ,&nbsp;Taku Fujiyama","doi":"10.1016/j.jpubtr.2025.100134","DOIUrl":"10.1016/j.jpubtr.2025.100134","url":null,"abstract":"<div><div>Improving the accuracy of demand forecasting and increasing ridership are imperative for ensuring urban rail transit’s sustainable development. However, the station catchment area, which is important for planning and operation in URT, was commonly oversimplified in previous studies and cannot be validated due to limited data availability and accuracy. Furthermore, how station catchment areas change with topological changes in urban rail transit networks has been sparsely investigated. This study explores changes in station catchment areas after opening new urban rail transit lines. Using cellular signalling data from Shanghai in November 2019 and 2023, it analysed passenger trips related to three new lines (Lines 15, 14, and 18) and their adjacent stations. Comparative analysis and visualisation techniques were employed to analyse the changes in areas and centroids of station catchment areas, the source of induced passengers and the diversion patterns among new and existing stations. Results show significant differences in area and centroid changes between existing stations within and outside the influential area of new lines. The relative location of existing and new lines and transfer status change were key factors influencing the changes of existing stations affected by new lines. Among frequent and super passengers of new lines, approximately 75 % had infrequent usage of the entire rail transit system before the opening of new lines, and about 5 % who used the system frequently developed new travel demands associated with the new lines. Notably, only 2 % diverted from existing lines. Both the average access and egress distance of induced passengers and the weighted average diversion distance were influenced by the station density of the areas that new lines pass through. Although the majority of diverted passengers were from close stations on parallel existing lines, some passengers who lived in the previously underserved areas may divert from distant stations to the new lines. The findings can facilitate a more accurate station ridership forecasting for proactive planning of URT and can provide policy implications for increasing ridership.</div></div>","PeriodicalId":47173,"journal":{"name":"Journal of Public Transportation","volume":"27 ","pages":"Article 100134"},"PeriodicalIF":2.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144695319","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Counting in: A methodological framework for the accessibility assessment of on-demand transit","authors":"Bogdan Kapatsila ,&nbsp;Alex Hindle ,&nbsp;Anson Stewart ,&nbsp;Emily Grisé","doi":"10.1016/j.jpubtr.2025.100122","DOIUrl":"10.1016/j.jpubtr.2025.100122","url":null,"abstract":"<div><div>This paper addresses an existing methodological and empirical gap by presenting a framework for conducting a regional cumulative accessibility analysis of a transit network with an on-demand component and demonstrating its application to the context of a mid-sized Canadian city. We rely on the concept of accessibility as a performance metric and propose a methodological approach for inferring inputs for accessibility calculations from actual on-demand operations in Edmonton, Canada, to develop the tool for the accessibility assessment of a transit network with an on-demand component. Our empirical findings show that on-demand zones that were introduced with a redesigned bus network saw the largest gains in transit accessibility, and we identified that excluding on-demand transit from accessibility analysis underestimates the systemic effect of the bus network redesign. While the use of the accessibility framework for the assessment of a transit system with an on-demand component offers a meaningful and comprehensive measure of the success both for the planning purposes at the stage of design and for the post-implementation evaluation of either incremental or systemic changes, on-demand service standards must be developed to ensure consistent service provision of on-demand services throughout the day. On the other hand, informed by the findings of our study and publicly available information about the operational costs of service provision we identified that on-demand service provides operational savings over fixed routes if ridership in the area is less or equal to eight passengers an hour.</div></div>","PeriodicalId":47173,"journal":{"name":"Journal of Public Transportation","volume":"27 ","pages":"Article 100122"},"PeriodicalIF":2.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144106955","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Bus driver deceleration behavior modeling at intersections using multi-source on-board sensor data","authors":"Yancheng Ling ,&nbsp;Zhenliang Ma ,&nbsp;Yuchen Song ,&nbsp;Qi Zhang ,&nbsp;Xiaoxiong Weng ,&nbsp;Xiaolei Ma","doi":"10.1016/j.jpubtr.2025.100123","DOIUrl":"10.1016/j.jpubtr.2025.100123","url":null,"abstract":"<div><div>Understanding the impact of various factors on bus deceleration behavior at intersections has important implications for bus operations control, management, and safety. This paper develops a multiple linear regression model to analyze the factors influencing bus driver deceleration (a proxy of safe driving state) at intersections using data from multiple sources, including the on-board closed-circuit television (CCTV), the advanced driver assistance system (ADAS), the bus controller area network (CAN), the bus operation, and the driver profile data. We develop a comprehensive model data extraction framework and corresponding methods to effectively estimate/calculate the bus deceleration rate (dependent variable) and its influencing factors (independent variables). We explored the factors impact on bus deceleration behavior at intersections using data from a typical bus route in China. The results highlight significant factors, including driver characteristics (age), en-route and intersection approaching driving states (trip delay, turnaround time, driving direction, and approaching speed), intersection characteristics (types, the number of lanes, zebra crossing, divider, bus lanes, right turn lanes, the stop location) and traffic conditions (surrounding vehicles). Generally, drivers with younger ages (having short reaction times) and driving with psychological anticipation of complex situations (from surrounding vehicles and pedestrians or unsignalized intersections) tend to decelerate more smoothly. The agencies may enhance safe bus driving behavior by allowing enough turnaround time in timetabling, recommending intersection approaching speed, and providing tailored ADAS system alarms (rather than flooding all alerts). Also, the planning of bus infrastructures (e.g., dedicated lanes and stop locations) should be properly evaluated considering their soft contribution to safe driving behaviors at intersections.</div></div>","PeriodicalId":47173,"journal":{"name":"Journal of Public Transportation","volume":"27 ","pages":"Article 100123"},"PeriodicalIF":2.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144137755","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A novel framework for the assessment of public-transport drivers' well-being and satisfaction based on physiological data","authors":"Guy Wachtel ,&nbsp;Yuval Hadas","doi":"10.1016/j.jpubtr.2025.100129","DOIUrl":"10.1016/j.jpubtr.2025.100129","url":null,"abstract":"<div><div>This paper presents a novel framework for data collection and fusion, for better analysis and assessment of public transportation (PT) drivers' well-being and satisfaction using physiological data. The goal of this framework, when combined with machine learning (ML) and discrete choice models (DCMs) to predict drivers' physiological states based on fleet management data, is to improve service reliability and assess the drivers' well-being and satisfaction. A case study based on different ML models and data collected from available physiological indicators was conducted to demonstrate the framework's ability to predict such features as Heart Rate (HR) and Electrodermal Activity (EDA) based on Automatic Vehicle Location (AVL) and Automatic Fare Collection (AFC) systems. The results indicate a significant correlation between service measures (e.g., layover duration, route characteristics and complexity) and the drivers' well-being. Our framework offers practical guidance for decision-makers to enhance operational planning, leading to improved efficiency and healthier working conditions for drivers. Future research should expand the application of the framework to different areas and branches of PT, incorporate additional physiological sensors, and integrate more ML models and DCMs for extensive analysis.</div></div>","PeriodicalId":47173,"journal":{"name":"Journal of Public Transportation","volume":"27 ","pages":"Article 100129"},"PeriodicalIF":2.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144523295","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Measuring the operational impacts of a new Bus Rapid Transit (BRT) in Montreal, Canada","authors":"Thiago Carvalho ,&nbsp;Ahmed El-Geneidy","doi":"10.1016/j.jpubtr.2025.100139","DOIUrl":"10.1016/j.jpubtr.2025.100139","url":null,"abstract":"<div><div>Recent research on Bus Rapid Transit (BRT) systems has mostly focused on ridership forecasting and scheduled travel time gains, with little empirical evidence on potential operational improvements. This study examines the short-term impacts of implementing a new BRT corridor in Montreal, Canada, on key bus performance indicators: running time, running time deviation, and headway deviation. Using Automatic Vehicle Location (AVL) and Automated Passenger Count (APC) data from 2022 to 2023, we compare the performance of the BRT to a parallel local bus route operating along the same corridor, before and after the BRT implementation. Our findings indicate that the BRT significantly reduced trip durations (about four minutes on average) primarily due to infrastructure features such as dedicated lanes and all-door boarding policy. The local route experienced modest running time improvements post-BRT, suggesting potential corridor-wide benefits. However, run time deviation was significantly higher for the BRT, particularly during peak periods while headway deviation worsened along the corridor compared to pre-BRT conditions. These findings highlight the importance of integrating infrastructure investments with dynamic operational strategies such as real-time dispatching and headway control. It emphasizes the need for schedule calibration following implementation to ensure that planned service aligns with actual performance. These findings offer practical insights for transit agencies planning or managing BRT systems.</div></div>","PeriodicalId":47173,"journal":{"name":"Journal of Public Transportation","volume":"27 ","pages":"Article 100139"},"PeriodicalIF":2.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145158035","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","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}