Transport Policy最新文献

{"title":"Evaluating social perceptions and diffusion networks of green travel: A case of China with Weibo","authors":"Yuan Fu ,&nbsp;Junlin Wu ,&nbsp;Pete Barbrook-Johnson ,&nbsp;Peihan Wen","doi":"10.1016/j.tranpol.2025.04.028","DOIUrl":"10.1016/j.tranpol.2025.04.028","url":null,"abstract":"<div><div>Green travel has received positive attention from the Chinese government as a carbon-neutrality tool, but public discourse is mixed. This paper assesses social perceptions and diffusion networks of green travel in China using Weibo, a popular social network. We design a framework integrating sentiment analysis, topic modeling, and network analysis to explore patterns in sentiments and topics on green travel in different socio-demographic groups, and to identify communities and opinion leaders. We find government campaigns are most engaging while focusing on demonstrations and examples of green travel. With increasing age, the proportion of positive sentiment rises while neutral sentiment declines, with little change in negative sentiment. Men are three times more likely than women to show interest in new energy vehicles, and this interest increases with age. Individual users account for a lower proportion of positive sentiment compared to institutions. Governments focus on traffic pollution, whereas media and enterprises emphasis electric vehicles. The largest community of interaction consists of various green travel service companies. Opinion leaders typically include influential governments, companies and celebrities. We conclude by discussing how our detailed findings on public discourse about green travel can help policymakers design targeted interventions to increase green travel acceptance among specific groups.</div></div>","PeriodicalId":48378,"journal":{"name":"Transport Policy","volume":"169 ","pages":"Pages 9-25"},"PeriodicalIF":6.3,"publicationDate":"2025-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143882419","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":"An evaluation of the long-term effects of the COVID-19 pandemic on public transit use in the United States","authors":"Bonny V. Smith,&nbsp;Dale Robbennolt,&nbsp;Chandra R. Bhat","doi":"10.1016/j.tranpol.2025.04.027","DOIUrl":"10.1016/j.tranpol.2025.04.027","url":null,"abstract":"<div><div>Public transit offers significant societal benefits, offering efficient accessibility for all and helping to reduce congestion and greenhouse gas emissions. However, the COVID-19 pandemic has altered many aspects of travel behavior and had particularly important implications for the future use of transit. Despite significant evidence of rebounds in ridership from pandemic lows, transit has not fully recovered. Various factors have contributed to this slow recovery, including continued fears of safety, service cuts, new travel habits, evolving work arrangements, and the growth of online activity participation. In this paper, we examine changes in public transit use during the pandemic, as well as the potential transitory nature of these shifts. Using data from the 2022 National Household Travel Survey, we explore the permanence of pandemic-era changes to public transportation (PT) use behaviors in the United States, connecting future use intentions directly with the change in use during the pandemic. The results of this study point to significant changes of use through the pandemic and heterogeneity in the permanence of these impacts based on age, gender, race, ethnicity, income, and vehicle constraints. By identifying groups who have reduced their use of transit post-pandemic and state that this change is likely to be temporary, we identify individual groups who may be most receptive to PT service improvement interventions. More broadly, we formulate several specific policy recommendations intended to help revitalize transit services in the United States in the aftermath of the pandemic and discuss the implications of the pandemic for current and future public transportation policies.</div></div>","PeriodicalId":48378,"journal":{"name":"Transport Policy","volume":"169 ","pages":"Pages 90-100"},"PeriodicalIF":6.3,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143899595","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":"Investigating user preferences for dockless bike- and electric bike-sharing through tracking usage patterns","authors":"Yang Liu ,&nbsp;Liqiong Li ,&nbsp;Kai Liu ,&nbsp;Mingwei He ,&nbsp;Zhuangbin Shi","doi":"10.1016/j.tranpol.2025.04.025","DOIUrl":"10.1016/j.tranpol.2025.04.025","url":null,"abstract":"<div><div>The integration of electric bikes has significantly boosted the popularity of shared micro-mobility. To promote the coordinated development of dockless bike-sharing (DBS) and electric bike-sharing (EBS), it is crucial to analyze the mechanisms influencing user preferences. However, capturing accurate usage patterns of users remains a challenge, hindering the optimization of shared micro-mobility services. Using one month of shared cycling order data from Kunming in 2022, this study tracks user travel patterns and categorizes them into three types: DBS-dominant, balanced, and EBS-dominant. To investigate the underlying mechanisms influencing these preferences, the study initially applies HDBSCAN clustering to identify users' frequent travel locations. A weighted Gradient Boosting Decision Trees (GBDT) model is employed to reveal the nonlinear relationship between explanatory variables and user preference types. The model considers factors from the perspectives of travel characteristics, built environment, and shared infrastructure systems. Results indicate that travel characteristics and the built environment significantly affect users' travel preferences. DBS-dominant users prefer short-distance, high-frequency trips, particularly in the Central Business District (CBD) and areas with complex road conditions. In contrast, EBS-dominant users favor long-distance travel and prolonged use, particularly in areas farther from the CBD. Balanced users exhibit flexibility, switching between DBS and EBS based on specific needs and conditions to maximize convenience. Targeted policy measures are proposed for various user groups to improve travel services and support the integrated development of the DBS and EBS systems. This study not only provides scientific decision-making support for shared mobility services but also assists market operators in refining their offerings.</div></div>","PeriodicalId":48378,"journal":{"name":"Transport Policy","volume":"169 ","pages":"Pages 41-55"},"PeriodicalIF":6.3,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143888207","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":"Integrated shore power deployment problem in an inland shipping network","authors":"Dian Sheng ,&nbsp;Pin Wu ,&nbsp;Qianwen Vivian Guo ,&nbsp;Jiehui Jiang ,&nbsp;Baoli Liu","doi":"10.1016/j.tranpol.2025.04.024","DOIUrl":"10.1016/j.tranpol.2025.04.024","url":null,"abstract":"<div><div>Shore Power (SP) is an effective measure to reduce air pollutants in ports by enabling docked ships to switch from diesel fuel to shoreside electricity. However, the promotion of SP faces the \"chicken and egg dilemma\": the use of SP requires both ports and ships to adopt SP technology. The benefits of SP investment for ships depend on the SP infrastructure readiness at all the ports they visit, while the return on investment for ports depends on the proportion of visiting ships equipped with SP facilities. This paper aims to explore the integrated shore power deployment problem in an inland shipping network from the perspective of the government. To this end, an integer linear programming model is proposed to maximize the total economic and environmental benefits of all ports in the shipping network by determining the optimal number of SP berths to be retrofitted in each inland port and the specific ships to be equipped with SP receiving facilities. Due to the fluctuations in fuel prices, the SP-capable ships’ mixed berthing energy choices at each port are also captured. Based on the model, the differentiated impacts of three subsidy policies provided by the government, i.e., SP price subsidy, per usage subsidy, and capital subsidy ratio for onboard SP investment, on the benefits of the ports as well as the SP deployment decisions are examined. Taking the Yangtze River container shipping network in China as a case study, the numerical results suggest that full deployment of SP in the container shipping network does not appear to be cost-effective. Instead, installing SP facilities with different levels at particular ports and ships is optimal. The results also reveal that all the proposed subsidies can effectively reduce the investment cost or usage cost of SP, thereby enhancing its economic attractiveness to ship owners. However, there exists an optimal subsidy level for each type of subsidy, beyond which the net benefits of the system may surprisingly decrease due to the diminishing marginal returns and the increased financial burden on the government.</div></div>","PeriodicalId":48378,"journal":{"name":"Transport Policy","volume":"169 ","pages":"Pages 26-40"},"PeriodicalIF":6.3,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143888206","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":"Airline network response to government policies: COVID-19 and Russian airspace closure","authors":"Maozhu Liao ,&nbsp;Yilin Zhang ,&nbsp;Tommy Cheung","doi":"10.1016/j.tranpol.2025.04.026","DOIUrl":"10.1016/j.tranpol.2025.04.026","url":null,"abstract":"<div><div>This study examines how airlines responded to two major external shocks: the COVID-19 pandemic and Russian airspace closure. Using monthly international schedules data from 2018 to 2024 on airline networks and government stringency measures, we apply both panel regression model based on Driscoll-Kraay standard errors and panel vector autoregression (PVAR) model, to analyze the effects of these disruptions on key airline network measures, including mean distance, clustering coefficient, network diameter, and network efficiency. Our findings indicate that increased stringency exposure during the pandemic leads to a contraction in airline network structures, with reduced global connectivity and network efficiency. In contrast, the closure of Russian airspace forces airlines to adopt longer routes, leading to an increase in mean distances but an improvement in network efficiency as airlines optimized their rerouted operations. The dynamic analysis reveals persistence in airline network characteristics, with significant long-term effects resulting from these external shocks. These findings contribute to the existing literature on airline network resilience and highlight the need for strategic planning to address both public health and geopolitical disruptions. The study also presents important policy implications, suggesting that governments and industry stakeholders should develop frameworks for enhancing network adaptability and ensuring global connectivity in the face of future crises.</div></div>","PeriodicalId":48378,"journal":{"name":"Transport Policy","volume":"169 ","pages":"Pages 74-89"},"PeriodicalIF":6.3,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143899594","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 the effects of urban rail on the survival of nearby businesses","authors":"Chang Liu,&nbsp;Eleni Bardaka","doi":"10.1016/j.tranpol.2025.04.011","DOIUrl":"10.1016/j.tranpol.2025.04.011","url":null,"abstract":"<div><div>This study investigates the spatiotemporal impacts of urban rail on business survival. Urban rail projects can increase accessibility and foot traffic, benefiting nearby businesses, but may also lead to higher rents and commercial gentrification, potentially displacing small or local businesses. However, little is known about how transit investments affect business survival over time. To address this gap, we employ a quasi-experimental design and estimate Extended Cox Hazards models using historical business microdata from Data Axle, covering a 21-year period from 1998 to 2019. Our analysis compares businesses located within 0.5 miles of light rail stations with those in a carefully selected control area, while also examining heterogeneous impacts by distance to stations and by TOD district characteristics. Our empirical application focuses on the LYNX Blue Line in Charlotte, NC. Our findings indicate that the effects of light rail on business survival are sector-specific. Specialty retailers (NAICS code 45) located between 0.125 and 0.25 miles from a station experience a 58% reduction in closure risk five to ten years after the beginning of light rail operation. Accommodation and food services (NAICS code 72) located between 0.25 and 0.5 miles from stations experience decreases of 66% in the probability of closure during the same time period. Moreover, service establishments and specialty retailers operating in TOD zones exhibit reductions in closure risk of approximately 50% compared to their counterparts in the control group. Our results demonstrate that overall, proximity to transit and TOD environments that encourage pedestrian traffic through parking restrictions and higher development density do not negatively impact retail and service establishments and in some cases significantly support the longevity of businesses. However, more research is needed to improve our understanding of transit’s impacts on nearby businesses and to design relevant and effective policies.</div></div>","PeriodicalId":48378,"journal":{"name":"Transport Policy","volume":"169 ","pages":"Pages 209-226"},"PeriodicalIF":6.3,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143947766","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":"Rural roads and economic development: Insights from India","authors":"Sandip Chakrabarti","doi":"10.1016/j.tranpol.2025.04.023","DOIUrl":"10.1016/j.tranpol.2025.04.023","url":null,"abstract":"<div><div>Road connectivity is critical for socioeconomic development in rural areas. Unfortunately, significantly large proportions of rural populations worldwide, particularly in relatively lower-income countries, still lack access to all-weather roads. I leverage data from the first phase of India's Pradhan Mantri Gram Sadak Yojana (PMGSY) – the Prime Minister's Village Road Scheme – to analyze whether the provision of basic single-lane all-weather road links to previously unconnected rural habitations has led to growth in economic performance, specifically in the agriculture sector. I empirically investigate whether, all else equal, districts that made greater progress in rural road connectivity – in terms of km of new road constructed and the number of new habitations connected, relative to targets – over the first decade of the PMGSY experienced greater levels of growth in per capita GDP, overall and in the agriculture sector. Results show that new rural road development can indeed have a significant positive impact on per capita agriculture GDP growth; places with relatively lower baseline agricultural performance can benefit more. A series of OLS, Spatial Error, and 3SLS models confirm the reliability of estimated effects. In addition to demonstrating the positive economic impact of the PMGSY in India, specifically its contribution to growth in economic performance and productivity in the agriculture sector, this study underscores the economic rationale of rural road connectivity investments across the developing world.</div></div>","PeriodicalId":48378,"journal":{"name":"Transport Policy","volume":"168 ","pages":"Pages 305-318"},"PeriodicalIF":6.3,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143877342","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":"How to sustainably improve passenger satisfaction of high-speed rail in China? A text mining and product service system integrated approach","authors":"Qiang Yang ,&nbsp;Meng Liu ,&nbsp;Zhen-Song Chen ,&nbsp;Wan-Mei Yan ,&nbsp;Wen-Hui Jiang ,&nbsp;Muhammet Deveci","doi":"10.1016/j.tranpol.2025.04.007","DOIUrl":"10.1016/j.tranpol.2025.04.007","url":null,"abstract":"<div><div>The improvement of high-speed rail (HSR) passenger satisfaction from an integrated perspective of product and service is crucial for advancing several Sustainable Development Goals (SDGs) set by the United Nations, including <em>Good Health and Well-being</em>, <em>Industry, Innovation and Infrastructure</em>, and <em>Sustainable Cities and Communities</em>. As a critical and promising mode of public passenger transportation, ensuring the sustainable development of HSR in China necessitates a significant focus on improving passenger satisfaction. This paper presents a systematic framework from the perspective of Product-Service System (PSS) configuration, encompassing key components such as the identification and prioritization of critical passenger requirements, the prioritization of service quality improvement measures, and the optimal allocation of limited resource. Specifically, the framework involves the following steps: Firstly, text mining of social media online-reviews is utilized for the identification of key passenger requirements. Secondly, an improved Best-Worst Method under basic uncertain linguistic information environments (BULI-BWM) is employed to determine the importance of these requirements. Thirdly, an extended Quality Function Deployment (QFD) under uncertain information environments is applied to derive and prioritize service quality improvement measures. Finally, a nonlinear goal optimization model is proposed to optimize resource allocation with the aim of maximizing the level of passenger satisfaction improvement. This research, driven by a fusion of social media data, expert knowledge and experience, reveals six key passenger requirements, with current passenger concerns focusing on reliable train operations, ticket price &amp; availability, and riding convenience. Furtherly, six targeted service improvement measures are proposed, along with optimal resource configurations to achieve the maximum improvement of passenger satisfaction levels. The findings provide practical suggestions and effective support for operational decision-making by HSR service operators and designers.</div></div>","PeriodicalId":48378,"journal":{"name":"Transport Policy","volume":"168 ","pages":"Pages 244-262"},"PeriodicalIF":6.3,"publicationDate":"2025-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143868136","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":"Electric vehicle adoption and the energy rebound effect in the transportation sector: evidence from China","authors":"Xiaolei Zhao ,&nbsp;Xuemei Li ,&nbsp;Yumeng Mao ,&nbsp;Jianjun Fang","doi":"10.1016/j.tranpol.2025.04.022","DOIUrl":"10.1016/j.tranpol.2025.04.022","url":null,"abstract":"<div><div>The widespread adoption of electric vehicles (EVs) presents new opportunities for mitigating the energy rebound effect (ERE) in the transportation sector, yet this potential remains underexplored. This paper addresses two main objectives: firstly, to measure the ERE in the transportation sector at the city level in China from 2016 to 2022 using an improved stochastic frontier analysis model; and secondly, to examine whether widespread EV adoption can suppress the ERE and to explore the underlying mechanisms at play. Our findings reveal that the city-level ERE varies between 32.3 % and 79.2 %, with an average of 46.9 %, indicating that actual energy savings in Chinese cities under the influence of the digital economy reach only about 55 % of the anticipated levels. Moreover, our causal analysis indicates that EV adoption significantly reduces the transportation sector's ERE, with an average treatment effect of −14.2 %. This reduction is facilitated indirectly through three channels—the efficiency effect, the demand management effect, and the energy structure effect. These findings suggest that while the overall energy rebound effect remains substantial, EV adoption offers a promising pathway for mitigating it.</div></div>","PeriodicalId":48378,"journal":{"name":"Transport Policy","volume":"169 ","pages":"Pages 227-241"},"PeriodicalIF":6.3,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144084585","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":"Enter or not? Strategic interactions between electric vehicle manufacturers and mobility service providers","authors":"Yanyan Ding ,&nbsp;Sisi Jian","doi":"10.1016/j.tranpol.2025.04.004","DOIUrl":"10.1016/j.tranpol.2025.04.004","url":null,"abstract":"<div><div>We study a vehicle manufacturer encroachment and multichannel distribution problem in which a vehicle manufacturer (VM) decides whether and how to enter the mobility service market in anticipation of its primary buyer’s responses, i.e., the existing mobility service operator (MSP). Before the VM enters, the relationship between the VM and MSP is between sellers and buyers. However, if the VM enters, their mutual relationship will be complicated. First, since the MSP is better informed than the VM about rider demand information, the VM needs to infer the true mobility service market size from the order quantity requested by the MSP, which results in a “<em>signaling game</em>”. Second, the VM entry might benefit or hurt the MSP, i.e., they might be substitutes or complements. Third, the VM’s entry decision influences the vehicle price. This further affects the surplus of individual buyers in the vehicle sales market and travelers in the mobility service market. In light of this, we develop a dynamic Bayesian game model to characterize the decision process of the VM and MSP. Analytical results show that when VM and MSP are “<em>substitutes</em>” from the perspective of end users, VM’s entry will induce the MSP to decrease its order quantity when the market size is small while maintaining the same level as in the full information setting when the market size is large. This is opposite to the outcome when they are “<em>complements</em>”. Moreover, the seesaw effect between the two markets normally raises MSP’s profit while reducing VM’s profit. Numerical results demonstrate that the VM can strategically determine the optimal vehicle price to induce MSP to distort the order quantity in favor of its benefits. We find that as the size of the vehicle sales market increases, the VM will be better off adopting the multichannel strategy but will allocate fewer vehicles to the mobility service market. The MSP is worse off when they are substitutes while better off when they are complements. We also find that the VM entry benefits travelers since they have additional options and the mobility service prices are lower than when the VM does not enter.</div></div>","PeriodicalId":48378,"journal":{"name":"Transport Policy","volume":"168 ","pages":"Pages 288-304"},"PeriodicalIF":6.3,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143874613","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}