Transportation Research Interdisciplinary Perspectives交通研究跨学科视角
Transportation Research Interdisciplinary Perspectives(英文缩写 TRANSP RES INTERDISC),ISSN 2590-1982,eISSN 2590-1982,中文译名:交通研究跨学科视角 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 |
|---|---|---|
| 2023 | 3.900 | Q2 |
| 2024 | 3.800 | Q2 |
| 2025 | 4.800 | Q2 |
Transportation Research Interdisciplinary Perspectives 最新收录文献
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1. Functional connectivity networks for transportation delay analysis: From theory to software.
PMID:日期:2026-09Within the endeavour of modelling and understanding the propagation of delays in transportation networks, an approach that has attracted increasing interest in the last decade is the creation of functional network representations. These graphs map elements of interest (e.g. airports or stations) as nodes, and derive pairwise dependency patterns from their dynamics through correlation and causality tests. In spite of multiple notable results, this approach still lacks a coherent framework, with decisions related to many fundamental steps being left to the judgement of the researcher. We here provide an introduction to the theory behind functional networks for transportation systems, detailing the main steps and the associated pitfalls. We further introduce a Python package, , designed to support the researcher in the reconstruction and analysis of such networks. We finally present an analysis of the propagation of delays in the Swiss train system; and discuss future research steps.
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2. Exploring the relationship between traffic, speed, and personal in-vehicle noise exposure during commutes.
PMID:日期:2026-04-15While roadway noise is well-documented, research seldom quantifies the more critical in-vehicle exposure or evaluates the factors that modify it under real-world conditions. This study addresses this gap by investigating how traffic volume and driving speed, two key determinants in transportation planning, influence interior noise levels. Furthermore, we evaluate shifting commute times from rush hour to off-peak periods as a potential noise mitigation strategy. We collected 1-minute noise and GPS data from 148 vehicle trips taken by 14 participants in Hartford County, US. To evaluate how the departure time of morning commutes to work impacts noise exposure, we compared noise levels during a rush-hour commute (6:30-8:30 am) to a non-rush-hour commute for each participant. The median 1-minute noise level was 69.4 dBA (IQR = 65.7-74.1). Nine percent of measurements exceeded 80.0 dBA, the threshold of potential long-term hearing damage. Mixed-effects modeling showed both traffic volume and driving speed were positively associated with interior noise, with IQR increases linked to noise increases of 1.18 dBA and 0.71 dBA, respectively. However, substantial unexplained variability in the model suggests that other factors significantly influence noise levels more. The trip-averaged noise levels did not vary significantly between rush-hour (median = 70.7 dBA) and non-rush hour (median = 72.4 dBA) commutes (p = 0.84). This indicates that shifting commute times may not effectively mitigate overall noise exposure. Instead, strategies targeting overall traffic reduction may be more impactful. By linking vehicle interior noise to traffic characteristics and travel behavior, this study provides an interdisciplinary basis for transportation policies and traffic management reducing the environmental health burdens of commuting.
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3. Funding for public transportation: results from a Midwest exit poll.
PMID:日期:2025-04-24Public transportation can lead to increases in physical activity, access to jobs, healthcare, and healthy food, and may improve overall health. Funding for public transit is essential for a sustainable transportation system. However, most health studies have not focused on voting behavior as a mechanism for sustaining public transportation. This study employs a cross-sectional, in-person, exit poll of voters at 10 randomly selected polling locations during a local election in 2023 in Kansas City, Missouri. The voter ballot included a question to extend an existing 3/8 cent sales tax for public transportation. Participants (N = 649) overwhelmingly supported (90.6 %) sustaining taxes for public transportation. Individuals who used public transit (Odds Ratio [OR] = 1.92, p < 0.05) were more likely to support sustained taxes than individuals who did not use public transit. Republicans (OR = 0.03, p < 0.001) and Independents (OR = 0.17, p < 0.001) were less likely to support taxes than Democrats. Democratic affiliation (χ = 82.9, p < 0.001), older individuals (χ = 19.66, p < 0.01), and using public transit (Z = 3.90, p < 0.001) were predictors of support for additional taxes, with 85.4 % of voters reporting that they are very or somewhat likely to support additional taxes. Public transit usage and political party affiliation seem to be the main factors that predict voting behavior for taxes that support public transit. These results suggest that transit agencies and policy makers should consider additional taxes to improve and expand public transit as a mechanism to improve population health.
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4. Impact of 4-to-3 Lane Conversions on Emergency Response.
PMID:日期:2024-074-to-3 lane conversions, often called road diets, have been implemented throughout the U.S. as a means to reduce crashes. However, the reduction in lanes has led to community wide concerns across the country regarding the possible negative effect on emergency responses. This study investigates the impact of 4-to-3-lane roadway conversions on emergency response in Iowa through surveys and a retrospective analysis of EMS data. The 170 survey responses were analyzed descriptively, and a text analysis was done on two open text survey questions. Generalized linear models were constructed to examine the impact of lane conversions on emergency response times. Over half of EMS respondents believed there was no effect or a positive effect on responses, while 40% believed there was a negative effect. The negative effect was often attributed to driver confusion on how to properly yield to EMS vehicles. Despite the differing perceptions, EMS response rates from before to after the implementation of 4-to-3 lane conversions did not meaningfully differ. Overall, there was a lack of evidence of an effect of 4-to-3 lane conversions on EMS response rates in Cedar Rapids, Iowa. However, survey results showed that public guidance on how to properly respond to the presence of EMS vehicles on these roadways may be needed. This study provides evidence for addressing local concerns about road diets and emergency response to add to other known safety benefits. Results of this analysis may be applicable to other lane conversion sites when appropriately combined with local context relevant to the target area.
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5. Who shouts the loudest? A qualitative study exploring barriers and enablers to implementing a low emission zone in a Northern UK city.
PMID:日期:2024-05Pollution is a major cause of ill health globally. Low emission zones (LEZ) have been identified as effective in reducing pollution and are increasing in popularity but remain divisive. Understanding what factors help or hinder implementation is important. In the UK, Clean Air Zones (CAZ, a type of LEZ) are being implemented in several cities. We aimed to identify key barriers and enablers to the implementation of a CAZ in real time, as policy was being developed and implemented in a large Northern city in England, UK. Twenty-five semi-structured interviews were conducted with city stakeholders and implementors approximately 6 months before a CAZ charging non-compliant taxis, buses, heavy goods vehicles and vans was launched. Thematic analysis was used to analyse data. Implementers were required to operate within a tight policy framework. Key enablers included: freedom to adapt the framework to local context, financial support, and cross-sector working. A focus on health was felt to be useful in justifying the policy to the public. Key barriers included conflict and opposition from local industry, politicians, and communities. Implementation of air quality policy which involves traffic restrictions remains controversial. The voices which 'shout the loudest' are often those with negative views, and these can create divisive discourse which shape public opinion and damage confidence of implementers. A systems perspective is needed to understand socio-political contexts which can influence implementation success. We provide recommendations to other areas considering implementing a LEZ.
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6. Validation of a smartphone telematics algorithm for classifying driver trips.
PMID:日期:2024This study assessed the accuracy of a smartphone telematics algorithm that classifies car trips as driver or non-driver. Participants' trips were measured for 4 weeks by , a research telematics application that uses the same data algorithms as leading auto-insurance companies. At the end of each week, participants completed a survey prompting them to review trips within the app and report time and nature of any misclassified trips. Overall accuracy of driver vs. non-driver classification was high (96.5%, SD = 5.1%). Sensitivity, the percentage of actual driver trips classified as such, was also high (97.5%, SD = 4.6%). Specificity, the percentage of non-driver trips classified as such, was slightly lower and more variable (91.2%, SD = 14.8%). The algorithm's accuracy was generally robust to a variety of phone characteristics, vehicle features, and driving habits.
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7. Strategy and safety at stop intersections in older adults with mild cognitive impairment and visual decline.
PMID:日期:2023-10-18This study assessed the impact of age-related cognitive and visual declines on stop-controlled intersection stopping and scanning behaviors across varying roadway, traffic, and environmental challenges. Real-world driver data, collected from drivers' personal vehicles using in-vehicle sensor systems, was analyzed in 68 older adults (65-90 years old) with and without mild cognitive impairment (MCI) and with a range of age-related visual declines. Driver behavior, environmental characteristics, and traffic characteristic were examined across 2,596 approaches at 173 stop-controlled intersections. A mixed-effects logistic regression modeled stopping behavior as a binary response (full stop or rolling/no-stop). Overall, drivers who scanned more on intersection approaches (OR = 0.77) or had more visual decline (OR = 2.28) were more likely to make full stops at a stop-controlled approach. Drivers with a contrast sensitivity logMAR score > 0.8 showed the greatest probability of making a full stop compared across all drivers. Drivers without MCI were ~ 5 times more likely to come to a full stop when they scanned more (23 % versus 5 % when they scanned less) compared to drivers with MCI, who were only twice as likely to stop (14 % versus 6 % when they scanned less). Drivers were more likely to fully stop on two-lane roadways (1.5 %), during night (2.0 %), and at intersections with opposing vehicles (10.4 %). Findings illuminate how driver strategies interact with underlying impairment. While drivers with visual decline adopt strategies that may improve safety, when drivers with MCI adopt strategies it did not result in the same degree of improvement in stopping which may result in greater risk.
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8. Predictors of rural driver self-reported passing behaviors when interacting with farm equipment on the roadway.
PMID:日期:2023-10-13Crashes involving farm equipment (FE) are a major safety concern for farmers as well as all other users of the public road system in both rural and urban areas. These crashes often involve passenger vehicle drivers striking the farm equipment from behind or attempting to pass, but little is known about drivers' perceived norms and self-reported passing behaviors. The objective of this study is to examine factors influencing drivers' farm equipment passing frequencies and their perceptions about the passing behaviors of other drivers. Data were collected via intercept surveys with adult drivers at local gas stations in two small rural towns in Iowa. The survey asked drivers about their demographic information, frequency of passing farm equipment, and perceptions of other drivers' passing behavior in their community and state when approaching farm equipment (proximal and distal descriptive norms). A multinomial logistic regression model was used to estimate the relationship between descriptive norms and self-reported passing behavior. Survey data from 201 adult drivers showed that only 10% of respondents considered farm equipment crashes to be a top road safety concern. Respondents who perceived others passing farm equipment frequently in their community were more likely to report that they also frequently pass farm equipment. The results also showed interactions between gender and experience operating farm equipment in terms of self-reported passing behavior. Results from this study suggest local and state-level norms and perceptions of those norms may be important targets for intervention to improve individual driving behaviors around farm equipment.
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9. Impacts of COVID-19 on Bike-Share Usage: The case of Daejeon, Korea.
PMID:日期:2023-06-09After COVID-19 began spreading through fecal-oral routes, crowded cities introduced social distancing policies. Mobility patterns in urban also changed because of the pandemic and the policies to reduce the infection of it. This study investigates the impact of COVID-19 and related policies such as social-distancing by comparing bike-share demand in Daejeon, Korea. By using big data analytics and data visualization, the study measures differences in bike-sharing demand between 2018-19, before the pandemic, and 2020-21, during the pandemic. According to results, (1) bike-share users tend to travel long distances and cycle more than before the pandemic, (2) bike users choose cycling not for commuting but for transportation during the pandemic, and (3) the pandemic has broadened the spatial borders bike-usages. These results provide meaningful implications for urban planners and policymakers by identifying differences in the ways people use public bikes during the pandemic era.
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10. Simulation of travel document purchase measures aimed at preventing the spread of COVID-19 - Case study from Slovakia.
PMID:日期:2023-05-31The COVID-19 pandemic has had a significant impact on railway services, such as restrictions on transport services, introduction of strict anti-pandemic measures at railway stations, and a ban on free travel. This study simulated passenger flow at the Bratislava railway station before and during the COVID-19 pandemic. This study provides an overview of the number of tickets sold, average waiting time of passengers, and time spent by passengers at ticket windows during peak and off-peak hours. The mass-service theory was used as the operational research method. In addition, the user interface of the AnyLogic simulation programme and practical results of the passenger flow simulations at the Bratislava railway station are discussed. The simulation results showed that passenger movement at the railway station was neither synchronised nor systematic. This concurred with the measures implemented during the pandemic that were considered unacceptable. New methods for selling travel documents at Slovak railway stations were proposed, which contribute to better spatial organisation of the stations, faster customer service at ticket windows, and negating infection risks.