Transport Policy最新文献

{"title":"Tram networks and urban mobility: Evidence from German cities","authors":"Viktoria Kleinschmidt ,&nbsp;Felix Roesel ,&nbsp;Stefanie Gaebler","doi":"10.1016/j.tranpol.2026.104004","DOIUrl":"10.1016/j.tranpol.2026.104004","url":null,"abstract":"<div><div>What role do tram networks play in shaping urban mobility? We study the case of West Germany, where many cities decommissioned their tram systems, mainly in the 1950s and 1960s. Using data covering 120 German cities between 1948 and 1990, we analyse how tram decommissionings affected vehicle ownership and public transport use in the long run. Difference-in-differences and event study estimations show that cities that decommissioned their trams experienced a permanent increase of at least 10% in the number of private vehicles. Decommissioning trams is also associated with fewer public transport users, even when accounting for alternatives such as bus services. This suggests that rail-based transport modes such as trams are essential to facilitating the shift towards more sustainable urban transport.</div></div>","PeriodicalId":48378,"journal":{"name":"Transport Policy","volume":"179 ","pages":"Article 104004"},"PeriodicalIF":6.3,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145940219","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}

{"title":"Initiating barrier-free ride services for disabled passengers: An empathy training program designed for taxi drivers","authors":"Shi Ye ,&nbsp;Xiaowen Fu ,&nbsp;Kun Wang ,&nbsp;Tiantian Chen","doi":"10.1016/j.tranpol.2026.104025","DOIUrl":"10.1016/j.tranpol.2026.104025","url":null,"abstract":"<div><div>Despite growing efforts to improve accessibility, people with disabilities often face persistent mobility challenges and reduced willingness to travel. Due to this unmet need, many cities are piloting barrier-free ride services as an innovative solution. Aside from vehicle adaptations, taxi drivers' professionalism and empathy remain crucial to ensuring quality service. The purpose of this study was to design and evaluate an empathy training program tailored for taxi drivers who serve passengers with disabilities. A two-day training program was developed to address cognitive, affective, and behavioral empathy. A total of thirty professional taxi drivers participated in our study, completing self-reported empathy scales and simulator-based driving tests before and after training. Changes in attitudes and behavior after training were evaluated using paired t-tests. Results demonstrate that the training significantly enhanced drivers' empathy toward passengers with disabilities, as demonstrated by improved scores on context-specific empathy scales. There was also evidence of positive results in objective driving measures: drivers exhibited lower variability in G-force, yaw rate, and speed, indicating smoother, more stable, and more passenger-friendly driving behavior. Further feedback revealed strong support for the program, with many drivers expressing their willingness to undergo refresher training. Together, these findings demonstrate the feasibility and necessity of empathy training as a complement to barrier-free ride initiatives. This study contributes to a broader discussion of transportation equity by demonstrating that human-centered service practices are just as important as infrastructure in promoting inclusive and dignified mobility.</div></div>","PeriodicalId":48378,"journal":{"name":"Transport Policy","volume":"179 ","pages":"Article 104025"},"PeriodicalIF":6.3,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146038416","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}

{"title":"Exploring bus service demand in emerging business formats: A text mining analysis","authors":"Chunqin Zhang ,&nbsp;Waner Li ,&nbsp;Jiachen Shou ,&nbsp;Hongbin Ma ,&nbsp;Junyan Xiang ,&nbsp;Martin Skitmore ,&nbsp;Xian Liu ,&nbsp;Donglei Rong ,&nbsp;Wenbin Yao","doi":"10.1016/j.tranpol.2026.104010","DOIUrl":"10.1016/j.tranpol.2026.104010","url":null,"abstract":"<div><div>This study examines passenger demand characteristics for bus services and offers policy optimization recommendations derived from these insights. An analysis of 6403 valid social media comments from January 2023 to December 2024, utilizing Gibbs Sampling Dirichlet Multinomial Mixture topic modeling and the Jaccard distance metric, identified four core themes: “travel experience,” “operational efficiency,” “economy,” and “environmental impact,” which were further categorized into twelve sub-themes. The findings reveal that passengers prioritize “travel experience” (encompassing driver attitude, cleanliness, seat comfort, and congestion) and “operational efficiency” (including schedule density, punctuality, route optimization, and peak-hour traffic management), followed by “economy” (ticket pricing and the senior free-ride policy) and “environmental impact” (low-carbon features and battery recycling). Based on the findings, several policy recommendations are put forward, including the enhancement of the in-vehicle environment, the implementation of comprehensive driver training programs aimed at improving the passenger experience, the optimization of scheduling and the promotion of real-time bus tracking systems to boost operational efficiency, the adjustment of the fare structure to ensure greater equity, and the refinement of management practices for new energy buses to support environmental sustainability.</div></div>","PeriodicalId":48378,"journal":{"name":"Transport Policy","volume":"179 ","pages":"Article 104010"},"PeriodicalIF":6.3,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145978879","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}

{"title":"Incorporating built environment features in Air Passenger Demand forecasting: A spatial econometric approach for enhancing transport policy and planning","authors":"SP Sathiya Prabhakaran ,&nbsp;Marimuthu Venkadavarahan ,&nbsp;Ganesh Raghavendran ,&nbsp;Karuppan Gunasekaran","doi":"10.1016/j.tranpol.2026.104001","DOIUrl":"10.1016/j.tranpol.2026.104001","url":null,"abstract":"<div><div>This study explores the determinants of Air Passenger Demand (APD) in India, with a special focus on the role of built environment features alongside geoeconomic and service-related variables. For spatially distributed data of APD, the study attempts to incorporate the spatial interaction effects in the APD model development using spatial econometric techniques with the Bayesian Markov Chain Monte Carlo approach. First, the spatial patterns and intensities of APD are visualized using a desire line diagram, and the cities are classified as low, medium and high to understand the rationale behind APD. Then, Moran's I statistics is used to confirm the presence of spatial autocorrelation of determinants with clustering patterns, and significant variables are used as spatial indicators in the development of the APD model. Also, Local Indicator of Spatial Autocorrelation (LISA) analysis is utilised to understand the dynamic localised spatial information. APD models are developed, and how individual, interaction and combined effects influence APD are explained. The Spatial Durbin Model (SDM) outperformed with a 0.622 posterior model probability for combined interaction effects (geoeconomic, service-related and built environment). The model's significant spatial autoregressive coefficient (α = 0.358) confirms strong spatial interdependence, and the study uses impact decomposition to separate the determinants' direct (own-city) and indirect (spillover) effects. Strategic policies based on this decomposition are proposed to capitalize on these study insights and drive sustainable APD growth in the aviation sector.</div></div>","PeriodicalId":48378,"journal":{"name":"Transport Policy","volume":"179 ","pages":"Article 104001"},"PeriodicalIF":6.3,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145940221","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}

{"title":"Orchestrating smart transportation resources for regional transport resilience: evidence from institutional constraint settings","authors":"Longfei Xue ,&nbsp;Yeming Gong ,&nbsp;Yuqian Shi ,&nbsp;Xianhao Xu","doi":"10.1016/j.tranpol.2026.104016","DOIUrl":"10.1016/j.tranpol.2026.104016","url":null,"abstract":"<div><div>As carbon reduction imperatives reshape transport governance, understanding how smart transportation capabilities jointly generate resilience under institutional constraints has become increasingly critical. Prior research typically examines single capabilities in isolation, overlooking the configurational nature of resilience formation. Drawing on institutional theory and resource orchestration theory, this study investigates how distinct combinations of transport infrastructure and informatization capabilities contribute to regional transport resilience, measured as efficiency loss using a directional distance function across 30 Chinese provinces (2014–2020). A dynamic QCA approach identifies multiple capability configurations that can compensate for institutional pressures, with service capacity and communication technologies emerging as recurrent core drivers. Complementary hierarchical regression and random forest analyses reveal heterogeneous effects and capability importance patterns. By theorizing resilience as a multi-capability, institutionally embedded configuration rather than a linear outcome, this study advances resilience theory and offers insight for designing adaptive and resource-efficient smart transportation systems.</div></div>","PeriodicalId":48378,"journal":{"name":"Transport Policy","volume":"179 ","pages":"Article 104016"},"PeriodicalIF":6.3,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146038417","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}

{"title":"Joint analysis of intervals and injury severities involving the same driver: A novel multivariate joint survival model approach","authors":"Dongdong Song ,&nbsp;Xiaobao Yang","doi":"10.1016/j.tranpol.2026.104023","DOIUrl":"10.1016/j.tranpol.2026.104023","url":null,"abstract":"<div><div>Survival analysis has emerged as a powerful tool for predicting traffic accident recurrence, yet traditional univariate approaches fail to account for the interdependence between recurrent events (e.g., minor and no-injury accidents) and terminal events (e.g., severe injury or fatal accidents) experienced by the same driver. This study proposes a novel multivariate joint survival model to simultaneously analyze the temporal correlations between accidents of varying injury severities involving the same driver. Utilizing a dataset of 800 drivers from a southwestern Chinese city (2016–2020), we classify accidents into three severity categories: severe injury (SI), minor injury (MI), and no injury (NI). The recurrent events (MI and NI) and terminal event (SI) are jointly modeled using a frailty-based framework to quantify their interdependencies. Key findings include: <strong>(1)</strong> Most drivers have an initial period of increasing crash risk, ranging from 0 to 270 days, where the likelihood of a crash increases the longer drivers go without having a crash. <strong>(2)</strong> The developed multivariate joint survival model overcomes the limitations of traditional univariate survival models, where significant variables may be overlooked and parameter estimates tend to be underestimated. <strong>(3)</strong> Positive correlations exist between recurrent and terminal events involving the same driver, with stronger associations for MI-SI (0.904, <em>p</em> = 0.0000) than NI-SI (0.589, <em>p</em> = 0.0000). <strong>(4)</strong> Driver and vehicle related characteristics are identified as risk factors for both types of recurrent events, as well as the terminal event. For example, novice drivers (with less than 3 years of driving experience) exhibit 230.7 % and 293.3 % higher risks of NI and SI accidents, respectively. Elderly drivers (aged 60 and above) face elevated risks across all severities, with rates ranging from 11.6 % to 23.6 %. While road and environmental characteristics only significantly affect both types of recurrent events. For example, complex road geometries (e.g., curved slopes) reduce MI risks by 33.2 %, while low visibility (50–100 m) increases NI risks by 45.2 %. These findings provide valuable insights for traffic safety modeling and analysis by examining the correlations among different accidents involving the same driver, and offer critical support for decision-making in risk warning and the proactive prevention of accidents with varying injury severities.</div></div>","PeriodicalId":48378,"journal":{"name":"Transport Policy","volume":"179 ","pages":"Article 104023"},"PeriodicalIF":6.3,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146038477","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}

{"title":"Measuring public willingness to pay for Urban Air Mobility: A national contingent valuation study in South Korea","authors":"Sungmin Ko ,&nbsp;Seonghyeon Kim ,&nbsp;Jungwoo Cho ,&nbsp;Kyuho Maeng","doi":"10.1016/j.tranpol.2026.104007","DOIUrl":"10.1016/j.tranpol.2026.104007","url":null,"abstract":"<div><div>Urban air mobility (UAM) has emerged as a promising solution to urban congestion and accessibility challenges. However, public valuation of UAM ecosystem development remains underexplored. This study estimates the perceived economic benefits of establishing a national UAM infrastructure in South Korea using a double-bounded dichotomous choice contingent valuation method based on a representative household survey. Results indicate that the average household is willing to pay KRW 37,784 (USD 27.22) annually to support UAM development, translating to an aggregate national economic value of approximately KRW 2.89 trillion (USD 2.08 billion) over five years. This amount exceeds the estimated early-stage implementation costs. Willingness to pay (WTP) is significantly influenced by income, age, and transport-related behaviors and expectations, such as travel distance, usage frequency, and stated preference for UAM. Regional differences in WTP were also observed, indicating the need for geographically differentiated deployment strategies. These findings suggest that public co-financing of UAM infrastructure may be feasible if services align with user-perceived benefits and targeted mobility needs. The study contributes to the emerging literature on UAM policy by offering robust empirical evidence of public support and actionable insights into strategic infrastructure investment and regulatory planning.</div></div>","PeriodicalId":48378,"journal":{"name":"Transport Policy","volume":"179 ","pages":"Article 104007"},"PeriodicalIF":6.3,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145979317","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}

{"title":"Roles of informal housing and job-housing balance in commuting carbon emissions: Evidence from big data in Shenzhen","authors":"Haiyan Lu ,&nbsp;Bo Wang ,&nbsp;Haoyu Hu ,&nbsp;Yaning Hu ,&nbsp;Ling Yu","doi":"10.1016/j.tranpol.2025.103990","DOIUrl":"10.1016/j.tranpol.2025.103990","url":null,"abstract":"<div><div>Urban commuting's carbon footprint constitutes a major part of transport emissions. Although numerous studies have addressed commuting carbon emissions, the spatial patterns of how informal housing influences commuting carbon emissions remain unclear. Utilizing commuting big data from Baidu Huiyan platform based on the Density-Based Spatial Clustering of Applications with Noise algorithm, we conducted an extensive analysis to calculate commuting carbon emissions and performed spatial analysis of their influencing factors in Shenzhen, China. First, our findings indicate a positive relationship between housing prices and per capita commuting carbon emissions, while showing a negative impact of land use mix. These effects gradually decrease from the city center to the suburbs. Second, moderating analysis reveals that informal housing, by providing affordable housing options, enables residents to have shorter commuting distances, thereby reducing per capita carbon emissions. Third, mediation analysis highlights that increasing land use diversity and decreasing housing prices contribute to a better job-housing balance, which in turn reduces long commutes and lowers per capita carbon emissions. Drawing from these research outcomes, policymakers are encouraged to devise and implement strategies that promote the availability of affordable housing solutions and foster greater land use diversity.</div></div>","PeriodicalId":48378,"journal":{"name":"Transport Policy","volume":"179 ","pages":"Article 103990"},"PeriodicalIF":6.3,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145940222","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}

{"title":"Do NEV subsidy cuts crowd out housing prices? Evidence from Shanghai, China","authors":"Yuhang Mai","doi":"10.1016/j.tranpol.2026.104020","DOIUrl":"10.1016/j.tranpol.2026.104020","url":null,"abstract":"<div><div>The interactions between transport policies and housing market, especially through subsidy adjustments, are not fully understood. This study investigates how Shanghai's 2016 new energy vehicle (NEV) subsidy cuts affected housing market by examining households' budget reallocation in response to the rising NEV costs. Using a difference-in-differences method and resold property transaction data, I find that properties in policy-affected areas decline by 4.38 % relative to the control group. The decline was most pronounced for middle-priced properties, aligning with the fact that middle-income households are the primary adopters of NEVs. Moreover, suburban properties were less affected than downtown ones. Analysis of household expenditure confirms that, following subsidy cuts, more households relocated budget from housing to vehicle through purchasing lower-unit-price properties. This study reveals a previously overlooked mechanism linking the transportation and real estate sectors, underscoring the need for policymakers to consider cross-sectoral budget shifts when designing economic stimulus measures.</div></div>","PeriodicalId":48378,"journal":{"name":"Transport Policy","volume":"179 ","pages":"Article 104020"},"PeriodicalIF":6.3,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146038580","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}

{"title":"Is plug-in hybrid vehicle a green mode in daily use?","authors":"Shaomin Qin ,&nbsp;Qingyan Fu ,&nbsp;Hong Zhu ,&nbsp;Sheng Xiang ,&nbsp;Haobing Liu","doi":"10.1016/j.tranpol.2026.104005","DOIUrl":"10.1016/j.tranpol.2026.104005","url":null,"abstract":"<div><div>Plug-in hybrid electric vehicles (PHEVs) have been widely promoted as environmentally friendly alternatives in the transportation sector. However, their environmental benefits depend heavily on propulsion mode and charging behavior. This study provides a systematic empirical analysis of PHEV usage as a green mode, utilizing daily usage data from 500 PHEV users in Shanghai, China, over a three-month period, combined with real driving emissions (RDE) test data from two in-use PHEVs under different operating conditions and states of charge (SOC). The results show that, in charge-depleting (CD) mode, PHEVs exhibit notably lower emissions of nitrogen oxides (NO_x), hydrocarbons (HC), and carbon dioxide (CO₂) compared to charge-sustaining (CS) mode. Infrequent charging leads to a significant increase in NO_x, HC, and CO₂ emissions. In the worst-case scenario, where users never charge their PHEVs, emissions rise by 62 % for NO_x, 70 % for HC, and 46 % for CO₂, respectively. These findings indicate a clear discrepancy between the perceived environmental benefits of PHEVs and their real-world emission performance, providing valuable insights for policy development aimed at promoting sustainable PHEV adoption and green urban mobility.</div></div>","PeriodicalId":48378,"journal":{"name":"Transport Policy","volume":"179 ","pages":"Article 104005"},"PeriodicalIF":6.3,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145940148","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}