Transport Policy交通政策
Transport Policy(英文缩写 TRANSPORT POLICY),ISSN 0967-070X,eISSN 1879-310X,中文译名:交通政策 是一本学术期刊。本页汇总该期刊的最新影响因子、分区信息以及最新收录于 PubMed 的文献,帮助您快速了解期刊全貌。
发文量统计区间：2025-10-01 至 2026-09-30，按本站收录文献的发表日期统计。
期刊介绍
历年影响因子趋势
| JCR 数据年份 | 影响因子 | JCR 分区 |
|---|---|---|
| 2021 | 6.173 | Q1 |
| 2022 | 6.800 | Q1 |
| 2023 | 6.300 | Q1 |
| 2024 | 5.300 | Q1 |
| 2025 | 6.200 | Q1 |
Transport Policy 最新收录文献
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1. Free buses: Citywide zero fare is associated with increased use of public transit.
PMID:日期:2026-06-18Increasing reach and use of public transit holds the potential to improve population health by supporting active transportation and enhancing access to local resources. Emerging citywide zero-fare transit programs offer a policy-based approach to improving use of existing systems by eliminating economic barriers. The rapid rise of these programs in the U.S. warrants more research on their impacts. This study leverages a natural experiment in Kansas City, MO-the first major U.S. city to adopt an extended, citywide zero-fare bus program-to estimate the impact of zero-fare policy on bus ridership. Leveraging over seven years of temporally aligned data from multiple U.S. cities, a robust series of analyses including controlled interrupted time series along with matched and synthetic control methods allowed for the estimation of effects at both the city level and individual route level. Comparisons were made between Kansas City and nine similar cities without zero-fare policy, then replicated across three additional positive controls (cities that also implemented citywide zero-fare during the study period). Results indicate a strong and sustained increase in ridership attributable to the zero-fare policy. After accounting for pandemic-related disruptions, post-policy ridership in zero-fare cities was approximately 22% higher than in cities without such policies, relative to pre-policy baselines. Similar effects were observed across nearly 30 routes, even after adjusting for neighborhood characteristics, with elevated ridership persisting during the nearly four-year follow-up period. Findings support citywide zero-fare as an effective strategy for increasing public transit ridership at scale. Future work is needed to assess downstream economic and health implications of these changes.
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2. Tracking Longitudinal Changes in Awareness, Usage, and Trust in Autonomous Vehicles: Evidence from Large-Scale, Nationally Representative U.S. Surveys (2023-2025).
PMID:日期:2026-05-05Tracking attitudes toward autonomous vehicles (AVs) is crucial to understand the facilitators and barriers to the further integration of AVs into society. Despite rapid progress in AV deployment across several U.S. metropolitan areas, high-quality surveys, particularly longitudinal data, are lacking to track the secular trend in public trust and experience with AV technology. The current study draws on three waves of survey data from a nationally representative longitudinal panel, between 2023 and 2025, to examine trends in awareness, usage, and trust in AVs, and to assess in what ways exposure to AVs might shape public trust. Results from chi-squared and two-sample proportion tests suggested a gradual increase in AV awareness and use. A difference-in-differences (DiD) analysis further revealed that individuals who had previously used AVs, despite being a small group, exhibited significantly higher trust after exposure. Additionally, persistent demographic differences were observed in awareness, usage, and trust in AV technology. Younger, higher-income, and more educated individuals reported greater awareness and trust, whereas older adults and lower-income groups remained hesitant. Women expressed lower levels of trust and more uncertainty than men. While overall adoption remains limited, the findings imply that direct interaction with AVs, not just an increase in awareness, may be a key driver in building trust. Demonstration initiatives, in combination with public education, could be critical for deeper integration of AVs into day-to-day life. As deployment continues to accelerate, continued efforts to monitor the change in demographic disparities will be essential to ensure equitable access to AV technology.
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3. Racial Segregation, Transportation, and Unemployment Rates in the United States.
PMID:日期:2025-11-24This study explores the complex relationships among metropolitan- and neighborhood-level racial segregation, transportation, and tract-level employment outcomes using data from over 28,000 census tracts in 95 Metropolitan Statistical Areas (MSAs) in the United States. Results from a series of multilevel models indicate that the availability of private (but not public) transportation is positively related to employment rate at the census-tract level. We also find census tracts with higher shares of Hispanics and African Americans have higher unemployment rates, but MSA-level dissimilarity is not significantly related to tract-level unemployment. We also determine that there is no moderating effect of MSA-level racial segregation on the relationship between transportation and employment outcomes. Findings reveal the critical role of automobiles in connecting employees to jobs. They further highlight that a reduction in racial segregation at the neighborhood level might benefit employment outcomes at the census tract level.
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4. Research and innovation paving the way for climate neutrality in urban transport: Analysis of 362 cities on their journey to zero emissions.
PMID:日期:2024-03The EU Mission on Climate Neutral and Smart Cities is an ambitious initiative aiming to involve a wide range of stakeholders and deliver 100 climate-neutral and smart cities by 2030. We analysed the information submitted in the expressions of interest by 362 candidate cities. The majority of the cities' strategies for climate neutrality include urban transport as a main sector and combine the introduction of new technologies with the promotion of public transport and active mobility. We combined the information from the EU Mission candidate cities with data from the CORDIS and TRIMIS databases, and applied a clustering algorithm to measure proximity to foci of H2020 funding. Our results suggest that preparedness for the EU Mission is correlated with research and innovation activities on transport and mobility. Horizon 2020 activities specific to transport and mobility significantly increased the likelihood of a city to be a candidate. Among the various transport technology research pathways, smart mobility appears to have a major role in the development of solutions for climate neutrality.
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5. Air transportation under COVID-19 pandemic restrictions: A wavelet analysis.
PMID:日期:2023-06-12该文献暂无摘要。
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6. Explaining US travel behavior with perceived threat of pandemic, consumer sentiment, and economic policy uncertainty.
PMID:日期:2023-05-01Since the COVID-19 outbreak, consumer behavior has been affected by the perceived threat of the pandemic and economic uncertainty. This paper aims to explore the dynamic effects of COVID-19, consumer sentiment, economic policy uncertainty, and fuel prices on travel behavior in the United States. Using updated daily trip data, the results show that consumer sentiment has a positive long-run impact on travel demand for air and auto, suggesting that a positive change in consumer sentiment can boost demand for these modes of transportation in the long term. Additionally, consumer sentiment has a favorable effect (1.34) on demand for long-distance trips, but it has a negative impact (-0.42) on the number of people staying at home. Economic and political shocks have a detrimental impact on demand for air and auto travel, suggesting that consumers reduce the frequency and cost of these transport services if they have pessimistic expectations about the future state of the economy and policy. However, in the short term, US travelers appear to be insensitive to shocks in consumer sentiment and economic policy uncertainty. Regarding the perceived threat of the pandemic, the results indicate that rising COVID-19 cases have a negative long-term effect on demand for air travel (-0.09) and public transit (-0.19), while they are positively associated with demand for auto travel (0.06). Similarly, the increasing number of deaths due to COVID-19 has led to a shift from shared-use mass transportation (air travel and public transit) to private autos and non-motorized travel, such as walking in the short term.
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7. On the ramifications of airspace bans in aero-political conflicts: Towards a country importance ranking.
PMID:日期:2023-04-17The aviation industry is facing highly volatile developments in the recent years: Following a steady growth phase with prosperous projections, the COVID-19 pandemic has hit the aviation system rather hard. While having gradually entered a recovery process in the years 2021 and 2022, with load factors close to those in the year 2019, the airspace bans between Russia, Europe, and other regions in the world, as part of the ongoing conflict centered around Russia and Ukraine, threaten the orderly operation of flights. This study explores the byproducts and potential impact of airspace bans on the aviation system and its stakeholders, by deriving a ranking of country importance and how they have the potential to influence our aviation system. While being rooted in the analysis of the Russian-Ukrainian conflict, our framework is built up in a generic way and computes an overall country importance metric. We believe that our study contributes to the better understanding of the consequences airspace bans have on our society and the severe needs for effective policies and regulations of such emerging forms of conflict resolution.
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8. Interaction between travel restriction policies and the spread of COVID-19.
PMID:日期:2023-04-11To investigate the interaction between travel restriction policies and the spread of COVID-19, we collected data on human mobility trends, population density, Gross Domestic Product (GDP) per capita, daily new confirmed cases (or deaths), and the total confirmed cases (or deaths), as well as governmental travel restriction policies from 33 countries. The data collection period was from April 2020 to February 2022, resulting in 24,090 data points. We then developed a structural causal model to describe the causal relationship between these variables. Using the Dowhy method to solve the developed model, we found several significant results that passed the refutation test. Specifically, travel restriction policies played an important role in slowing the spread of COVID-19 until May 2021. International travel controls and school closures had an impact on reducing the spread of the pandemic beyond the impact of travel restrictions. Additionally, May 2021 marked a turning point in the spread of COVID-19 as it became more infectious, but the mortality rate gradually decreased. The impact of travel restriction policies on human mobility and the pandemic diminished over time. Overall, the cancellation of public events and restrictions on public gatherings were more effective than other travel restriction policies. Our findings provide insights into the effects of travel restriction policies and travel behavioral changes on the spread of COVID-19, while controlling for informational and other confounding variables. This experience can be applied in the future to respond to emergent infectious diseases.
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9. Quantifying the impact of COVID-19 on travel behavior in different socio-economic segments.
PMID:日期:2023-03-23The COVID-19 pandemic has resulted in substantial negative impacts on social equity. To investigate transport inequities in communities with varying medical resources and COVID controlling measures during the COVID pandemic and to develop transport-related policies for the post-COVID-19 world, it is necessary to evaluate how the pandemic has affected travel behavior patterns in different socio-economic segments (SES). We first analyze the travel behavior change percentage due to COVID, e.g., increased working from home (WFH), decreased in-person shopping trips, decreased public transit trips, and canceled overnight trips of individuals with varying age, gender, education levels, and household income, based on the most recent US Household Pulse Survey census data during Aug 2020 ∼ Dec 2021. We then quantify the impact of COVID-19 on travel behavior of different socio-economic segments, using integrated mobile device location data in the USA over the period 1 Jan 2020-20 Apr 2021. Fixed-effect panel regression models are proposed to statistically estimate the impact of COVID monitoring measures and medical resources on travel behavior such as nonwork/work trips, travel miles, out-of-state trips, and the incidence of WFH for low SES and high SES. We find that as exposure to COVID increases, the number of trips, traveling miles, and overnight trips started to bounce back to pre-COVID levels, while the incidence of WFH remained relatively stable and did not tend to return to pre-COVID level. We find that the increase in new COVID cases has a significant impact on the number of work trips in the low SES but has little impact on the number of work trips in the high SES. We find that the fewer medical resources there are, the fewer mobility behavior changes that individuals in the low SES will undertake. The findings have implications for understanding the heterogeneous mobility response of individuals in different SES to various COVID waves and thus provide insights into the equitable transport governance and resiliency of the transport system in the "post-COVID" era.
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10. How has COVID-19 impacted customer perceptions and demand for delivery services: An exploratory analysis.
PMID:日期:2023-02-23The novel coronavirus (COVID-19) pandemic created an environment where nearly all aspects of mobility changed to ensure the health and safety of the public. The Centers for Disease Control and Prevention (CDC) recommended that people quarantine for 14 days if they were potentially exposed to the virus, stay at least six feet apart from others, and stay at home as much as possible. Delivery via third-party restaurant app, grocery, and package delivery quickly became an essential service. This study assesses customer's changes in use and perceived quality of delivery services in Southwest Virginia, via an online stated-preference survey (n = 423). The responses were analyzed using ordered logit and generalized ordered logit models to identify which population segments had changing delivery behavior and perceptions due to the pandemic. Findings include that before the pandemic, only households with an income greater than $100,000 had a significantly higher demand for package delivery services than those making less than $25,000. During the pandemic, all income brackets had a significantly higher demand for package delivery "weekly" than households with less than a $25,000 income, with a 19.50%, 22.54%, and 45.59% greater chance of use for income levels $25,000 to $50,000, $50,000 to $100,000, and over $100,000, respectively. This trend highlights that package delivery became necessary during the pandemic. Respondents who lived within town limits were statistically significantly more likely to use third-party restaurant delivery apps at least once a week before (3.10%), during (9.20%), and after (4.50%) the pandemic compared to those outside town limits. The results also found people who lived within town limits were 7.77% more likely to be satisfied with delivery services in general than those who lived outside town limits. The findings from this paper identify expanding delivery equity gaps within the population and provide recommendations for policymakers and delivery agencies. Some limitations include that low sample size did not allow for fully segmented models and meant that the study should be considered exploratory in nature.