Transportation Research Part A-Policy and Practice最新文献

{"title":"Estimation of dynamic Origin–Destination matrices in a railway transportation network integrating ticket sales and passenger count data","authors":"Greta Galliani ,&nbsp;Piercesare Secchi ,&nbsp;Francesca Ieva","doi":"10.1016/j.tra.2024.104246","DOIUrl":"10.1016/j.tra.2024.104246","url":null,"abstract":"<div><p>Accurately estimating Origin–Destination matrices is a pressing challenge in transportation management and urban planning. However, traditional methods like travel surveys have limitations in availability and comprehensiveness, which have been further exacerbated by the recent changes in mobility patterns induced by the COVID-19 pandemic. To address this issue, we focused on the Trenord railway network in Lombardy, Italy, and developed an innovative pipeline to integrate ticket and subscription sales and Automated Passenger Counting data using the Iterative Proportional Fitting algorithm. By effectively navigating the complexities of diverse and incomplete data sources, our approach showcases adaptability across various transportation contexts. Our research offers a valuable tool for operators, policymakers, and researchers, bridging the gap between data availability and the need for precise OD matrices. Additionally, we emphasise the potential of dynamic OD matrices and showcase methods for detecting anomalies in mobility trends, interpreting them in the context of events from the last months of 2022.</p></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":"190 ","pages":"Article 104246"},"PeriodicalIF":6.3,"publicationDate":"2024-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0965856424002945/pdfft?md5=16524b07c016d045653b27021c05aa6c&pid=1-s2.0-S0965856424002945-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142240762","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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":"Welfare implications of a mixed ownership-operations structure of high-speed train","authors":"Chunan Wang ,&nbsp;Ruotian Chen ,&nbsp;Changmin Jiang","doi":"10.1016/j.tra.2024.104238","DOIUrl":"10.1016/j.tra.2024.104238","url":null,"abstract":"<div><p>In most European and Asian countries, the owner of the high-speed train (HST) track is either fully independent from, or integrated with, the operations of train service. In this paper, we build a simple model to analyze a particularly unique ownership structure of HST infrastructure, namely, a mixed structure featuring both integration and separation within a network. We compare this mixed case with the scenario where ownership and operations of HST are integrated and identify a conflict between social welfare (consumer surplus) and HST profit. Specifically, consumer surplus and social welfare are higher in the mixed case (compared with the integrated case), while the profit of the HST industry is lower if any of the following conditions holds: 1) the size of the market, where ownership and operations may be separated, is sufficiently small; 2) the weight that the HST operator puts on social welfare is sufficiently small; 3) the fee paid by the infrastructure owner to HST operator for operational services is sufficiently high. Our results prove to be robust when there exists competition from airlines. Additionally, we observe consistent outcomes when varying the weights on social welfare. Finally, several policy implications are discussed.</p></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":"190 ","pages":"Article 104238"},"PeriodicalIF":6.3,"publicationDate":"2024-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142240759","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Working from home and commuter travel in germany – panel data analysis of long-term effects","authors":"Carina Böhnen,&nbsp;Tobias Kuhnimhof","doi":"10.1016/j.tra.2024.104257","DOIUrl":"10.1016/j.tra.2024.104257","url":null,"abstract":"<div><p>Working from home (WFH) is expected to be part of the ‘new normal’ in a post-pandemic future. WFH is often discussed as a contribution to climate protection, as WFH has the potential to reduce travel and emissions. However, there are also long-term rebound effects, which are under-investigated. These long-term effects are relevant for assessing the potential of new hybrid work concepts as a measure to improve sustainability. This paper aims to examine (1) the relationship between WFH, commuting distance and long-term effects by, (2a) the impact of WFH on the changes in commuting distance between 2011 and 2013, and (2b) the impact of commuting distance on the changes in WFH between 2011 and 2013. We used panel data from the ‘Families in Germany’ study (FiD) 2013 with changes to 2011. In this dataset, workers who WFH at least once per week had 29 % longer commuting distances than those who did not WFH. We found that the effects of WFH only show up years later when a change in commuting distance is pending, e.g., due to relocation. The change in commuting distances between 2011 and 2013 was 8.5 km higher for workers with constantly high WFH levels from 2011 to 2013 and a shift in commuting distance. Moreover, workers with a long commuting distance throughout the period tended to increase WFH between 2011 and 2013.</p></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":"190 ","pages":"Article 104257"},"PeriodicalIF":6.3,"publicationDate":"2024-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0965856424003057/pdfft?md5=429ed32f98c59ca8150b5338c534d330&pid=1-s2.0-S0965856424003057-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142240761","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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":"Resilience of socio-technical transportation systems: A demand-driven community detection in human mobility structures","authors":"Ho-Yin Chan ,&nbsp;Hanxi Ma ,&nbsp;Jiangping Zhou","doi":"10.1016/j.tra.2024.104244","DOIUrl":"10.1016/j.tra.2024.104244","url":null,"abstract":"<div><p>Existing scholarship on transportation resilience analysis has primarily focused on engineering resilience, often overlooking the intricate socio-technical dimensions. This oversight underscores the necessity for a more comprehensive understanding of the dynamic interplay between social, including travel behaviors, and technical infrastructure components within transportation systems. This article delves into the impact of “social shocks” on transportation systems, which are defined as disturbances affecting the social subsystem without yet affecting the technical subsystem. Drawing inspiration from C.S. Holling’s ecological resilience, which signifies a system’s ability to cope with change by adapting its structure and functionality, we propose a multi-level resilience assessment framework. It encompasses four mobility-related indicators: entropy (measuring network-level complexity), stationarity (assessing community compositional changes at the cluster level), and two node-level metrics — within-module degree and weighted participation coefficient — capturing location connectivity. These indicators proxy for evaluating the mobility structure and node functionality within the social subsystem. In a case study, we analyze historical smart card data to examine the mobility pattern’s structural changes within Hong Kong, a rail-oriented metropolis, during a prolonged and city-wide protest. The framework and associated indicators provide an alternative perspective for transit planners and operators, allowing them to assess both the overall system and individual stations, moving beyond traditional assessments of service supply and patronage changes.</p></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":"190 ","pages":"Article 104244"},"PeriodicalIF":6.3,"publicationDate":"2024-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142240760","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Modelling changes in accessibility and property values associated with the King Street Transit Priority Corridor project in Toronto","authors":"Christopher D. Higgins ,&nbsp;Robert N. Arku ,&nbsp;Steven Farber ,&nbsp;Eric J. Miller","doi":"10.1016/j.tra.2024.104256","DOIUrl":"10.1016/j.tra.2024.104256","url":null,"abstract":"<div><p>Despite several decades of research, the relationship between transit accessibility and land values remains unclear. In practice, most research has focused on simple measures of proximity that, while easy to understand, fail to capture the potential for interaction using the transit network. Through the example of the King Street Transit Priority Corridor project, this research examines how transit accessibility, and changes in access over time that result from streetcar service upgrades, are capitalized into condominium prices in Toronto, Canada. Methodological and applied contributions include calculating streetcar travel time differences using disaggregate vehicle tracking data, calculating transit accessibility using a gravity-based measure with a calibrated impedance function, accounting for variations in accessibility over the course of a day as well as changes over time, incorporating measures of access to local amenities, transforming 2D transaction information to a 3D format, and specifying 4D spatio-temporal weights. Longitudinal model results indicate that transit accessibility is a significant determinant of condominium prices. While the service upgrades did not dramatically increase accessibility levels and the implicit value of accessibility did not change over time, panel model results find that condominium property prices appreciated by about 2.7% more on average in the King Street streetcar corridor relative to the Sheppard subway control after the introduction of the priority corridor pilot. This result suggests the corridor on the whole may have became more attractive relative to Sheppard in the pilot phase.</p></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":"190 ","pages":"Article 104256"},"PeriodicalIF":6.3,"publicationDate":"2024-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142232234","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Putting Automobile Debt on the Map: Race and the Geography of Automobile Debt in California","authors":"Evelyn Blumenberg ,&nbsp;Samuel Speroni ,&nbsp;Fariba Siddiq ,&nbsp;Jacob L. Wasserman","doi":"10.1016/j.tra.2024.104230","DOIUrl":"10.1016/j.tra.2024.104230","url":null,"abstract":"<div><p>Most U.S. metropolitan areas developed alongside the automobile, producing neighborhoods of relatively low density. Consequently, access to opportunities in these neighborhoods is predicated on having an automobile, yet many households do not have the resources to purchase one outright, relying on automobile loans to spread out the purchase price. While automobile loans can enable automobile ownership, they also significantly increase the vehicle purchase price, particularly for non-white consumers subject to discriminatory lending practices.</p><p>In this study, we rely on data from the University of California Consumer Credit Panel from Experian to examine the determinants and geography of automobile debt and its consequences in California, testing whether various automobile debt measures disproportionately affect non-white neighborhoods.</p><p>We find that, controlling for other factors associated with automobile lending including income, Black and Latino/a neighborhoods have higher total automobile debt, debt burdens (debt relative to income), and automobile loan delinquency rates. In particular, Latino/a neighborhoods shoulder significant automobile debt, while borrowers in Black neighborhoods have the highest delinquency rates. Factors associated with lower total automobile debt and automobile debt burden include better credit ratings, higher residential densities, urban locations, and proximity to rail stations.</p><p>The findings underscore the importance of policies to offset the costs of automobile ownership and access. As part of this, policymakers should adopt and enforce fair lending rules to combat discriminatory and predatory practices and facilitate access to high-quality financial institutions and products in communities of color.</p></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":"190 ","pages":"Article 104230"},"PeriodicalIF":6.3,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0965856424002787/pdfft?md5=95289bc3583a2beb28815d6c17b69c1f&pid=1-s2.0-S0965856424002787-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142172831","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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":"Analysis of car sharing operation area performance: An idle time prediction approach","authors":"Andrea Papu Carrone ,&nbsp;Jeppe Rich ,&nbsp;David Watling","doi":"10.1016/j.tra.2024.104241","DOIUrl":"10.1016/j.tra.2024.104241","url":null,"abstract":"<div><p>Free-floating car sharing (FFCS) extends traditional station-based services by providing a more flexible car sharing alternative for users. However, the increased user flexibility introduces challenges from an operator perspective. To make services profitable, the total idle time of vehicles needs to be minimised and available vehicles should be located where demand exists. To increase profitability, it is important to carefully choose the operational area based on the expected idle time that different locations may offer, and only strategically expand into areas where the sustainability of the service can be maintained. In this paper, we present a hazard-based duration model for the idle times of a car sharing vehicle service. It is argued that modelling of idle time as opposed to bookings, which is the common approach, allows to circumvent the problem of latent demand and thereby presents itself as a simpler modelling strategy. In the paper, the model is applied to the city of Copenhagen, where we study the operational performance on the basis of 327,610 electric free-floating car trips in the period 2017-2018. We study the performance over 92 existing zones and predict the expected performance for an additional 28 zones by considering geographical and socio-economic drivers of demand. This enables the prediction of which areas to include as part of an expansion of the operational area, and thus serves the purpose of a strategic planning tool for growing such services. It is found that the additional zones differ substantially in their performance, which is a consequence of zones being more or less aligned with the local FFCS drivers of demand. This leads to a prioritisation of zones for further expansion based on performance, where the idle time of the best performing zones is seen to be as much as one hour less than the worst performing zones.</p></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":"190 ","pages":"Article 104241"},"PeriodicalIF":6.3,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0965856424002891/pdfft?md5=d84f1695468856ea8ea1c364373789a1&pid=1-s2.0-S0965856424002891-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142169165","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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":"Situational-aware multi-graph convolutional recurrent network (SA-MGCRN) for travel demand forecasting during wildfires","authors":"Xiaojian Zhang ,&nbsp;Xilei Zhao ,&nbsp;Yiming Xu ,&nbsp;Daniel Nilsson ,&nbsp;Ruggiero Lovreglio","doi":"10.1016/j.tra.2024.104242","DOIUrl":"10.1016/j.tra.2024.104242","url":null,"abstract":"<div><p>Natural hazards, such as wildfires, pose a significant threat to communities worldwide. Real-time forecasting of travel demand during wildfire evacuations is crucial for emergency managers and transportation planners to make timely and better-informed decisions. However, few studies focus on accurate travel demand forecasting in large-scale emergency evacuations. To tackle this research gap, the study develops a new methodological framework for modeling highly granular spatiotemporal trip generation in wildfire evacuations by using (a) large-scale GPS data generated by mobile devices and (b) state-of-the-art AI technologies. Based on the travel demand inferred from the GPS data, we develop a new deep learning model, i.e., Situational-Aware Multi-Graph Convolutional Recurrent Network (SA-MGCRN), along with a model updating scheme to achieve real-time forecasting of travel demand during wildfire evacuations. The proposed methodological framework is tested using a real-world case study: the 2019 Kincade Fire in Sonoma County, CA. The results show that SA-MGCRN significantly outperforms all the selected state-of-the-art benchmarks in terms of prediction performance. Our finding suggests that the most important model components of SA-MGCRN are weekend indicator, population change, evacuation order/warning information, and proximity to fire, which are consistent with behavioral theories and empirical findings. SA-MGCRN can be directly used in future wildfire events to assist real-time decision-making and emergency management.</p></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":"190 ","pages":"Article 104242"},"PeriodicalIF":6.3,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0965856424002908/pdfft?md5=8588f77b026f7bec595fc78f37e0289f&pid=1-s2.0-S0965856424002908-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142162493","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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":"Policy incentives and electric vehicle adoption in China: From a perspective of policy mixes","authors":"Xiaolei Zhao,&nbsp;Xuemei Li,&nbsp;Dehan Jiao,&nbsp;Yumeng Mao,&nbsp;Jingxiao Sun,&nbsp;Guanyi Liu","doi":"10.1016/j.tra.2024.104235","DOIUrl":"10.1016/j.tra.2024.104235","url":null,"abstract":"<div><p>China has emerged as a global leader in electric vehicle (EV) sales due to the government’s industrial incentive policies. However, as industrial and incentive policies undergo adjustments and the market scales up, the efficacy of mixed incentive policies in a mature market becomes increasingly relevant compared to individual policies. Drawing on comprehensive year-panel data from 275 Chinese cities during 2016 ∼ 2022, this study estimates the average, complementary, and mixed effects of EV incentive policies. Our estimates indicate a limited incentive effect of purchase subsidy policies, signaling the need for a phased withdrawal of such incentives while exploring cost-effective alternatives. Furthermore, our study highlights the intricate relationship between policy diversity and overall effectiveness, emphasizing the potential crowding-out effects observed when multiple policies are concurrently implemented in cities. The effect of policy mixes is different among cities with different sales level, income level and population density. The effect of policy mixes is better in cities with a higher sales level, an upper middle-income level, and a medium population density. These insights offer a nuanced understanding of the evolving landscape of EV incentives, providing valuable guidance for policymakers navigating the complexities of incentive strategies in a maturing EV market.</p></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":"190 ","pages":"Article 104235"},"PeriodicalIF":6.3,"publicationDate":"2024-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0965856424002830/pdfft?md5=0210435ea2baf833e60601128a65659d&pid=1-s2.0-S0965856424002830-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142158456","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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":"Segmenting transit ridership: From crisis to opportunity","authors":"Ignacio Tiznado-Aitken ,&nbsp;Matthew Palm ,&nbsp;Steven Farber","doi":"10.1016/j.tra.2024.104239","DOIUrl":"10.1016/j.tra.2024.104239","url":null,"abstract":"<div><p>Crises are an opportunity to learn, and transportation is no exception. The dramatic reduction in mobility levels during COVID-19, the slow recovery of transit ridership and new trends such as remote working have raised essential questions for the future of public transport. Our work focuses on transit rider segmentation, understanding the heterogeneity of users based on their behaviour before, during, and coming out of the pandemic, and what that means for the economic and social sustainability of transit systems. We asked ourselves two main questions: (i) will people continue riding transit after COVID-19? and (ii) what are riders’ reasons behind increasing, maintaining, or decreasing public transport use? Using a two-wave survey conducted in 2020 and 2021, we assessed the motives behind future public transport use in two Canadian cities (Toronto and Vancouver). We used quantitative and qualitative methods, particularly latent class cluster analysis (LCCA), text mining, and qualitative content analysis. We identified six transit riders’ profiles, ranging from those experiencing transport poverty who rely on public transport to those more resourced users who will ride less since they can choose alternatives such as remote work, private modes, or active travel. We discuss the policy and practice implications of these results, focusing on what public transport decision-makers should prioritize to benefit disadvantaged groups and recover ridership.</p></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":"190 ","pages":"Article 104239"},"PeriodicalIF":6.3,"publicationDate":"2024-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0965856424002878/pdfft?md5=f1de3a157f76d732564d84d0620899cd&pid=1-s2.0-S0965856424002878-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142158457","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}