<rss version="2.0" xmlns:atom="https://www.w3.org/2005/Atom">
  <channel>
    <title>Transport Research International Documentation (TRID)</title>
    <link>https://trid.trb.org/</link>
    <atom:link href="https://trid.trb.org/Record/RSS?s=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" rel="self" type="application/rss+xml" />
    <description></description>
    <language>en-us</language>
    <copyright>Copyright © 2026. National Academy of Sciences. All rights reserved.</copyright>
    <docs>http://blogs.law.harvard.edu/tech/rss</docs>
    <managingEditor>tris-trb@nas.edu (Bill McLeod)</managingEditor>
    <webMaster>tris-trb@nas.edu (Bill McLeod)</webMaster>
    <image>
      <title>Transport Research International Documentation (TRID)</title>
      <url>https://trid.trb.org/Images/PageHeader-wTitle.jpg</url>
      <link>https://trid.trb.org/</link>
    </image>
    <item>
      <title>Scooting Right Along: Gender and Attitudes Toward Shared E-Scooters Among U.S. University Students</title>
      <link>https://trid.trb.org/View/2664108</link>
      <description><![CDATA[As a relatively new form of mobility, shared e-scooters have attracted attention from researchers and policymakers alike. Understanding the lasting value of e-scooters, however, requires knowledge of how different groups view and value e-scooters and other emerging technologies. While some researchers have examined orientations toward e-scooters, it remains unclear whether attitudes differ significantly by gender. Further, while researchers have documented unique relationships between university environments, active travel, and early adoption of new technologies, few studies have examined how university campus travelers perceive and use e-scooters. To address these issues, we surveyed students at a large public university in the Midwestern region of the United States. We examine differences in mode replacement, deterrents to e-scooter use, and orientation toward e-scooters versus other emerging technologies like e-bikes and autonomous vehicles. First, we find that male students used e-scooters more often than female students. Among e-scooter users, female university students were more likely to use an e-scooter as a replacement for the campus bus, while male students were more likely to replace bicycling trips. For both genders, major deterrents to e-scooter use were financial cost and limited e-scooter availability. However, female students were more strongly deterred by bad weather and steep roads. Finally, compared to female e-scooter riders, male ones had more positive orientations toward e-bikes. We argue that policies to facilitate campus e-scooter use should account for unique gendered attitudes toward emerging modes, including other documented differences in active travel.]]></description>
      <pubDate>Wed, 29 Apr 2026 16:34:58 GMT</pubDate>
      <guid>https://trid.trb.org/View/2664108</guid>
    </item>
    <item>
      <title>F1TENTH: Enhancing Autonomous Systems Education Through Hands-On Learning and Competition</title>
      <link>https://trid.trb.org/View/2659119</link>
      <description><![CDATA[Teaching autonomous and intelligent transportation systems in higher education has traditionally focused on theory, often lacking comprehensive coverage of the practical techniques required for real-world applications. To overcome this, we developed a new university course centered around hands-on learning with a modular autonomous small-scale vehicle platform called F1TENTH. This paper presents a detailed overview of the new course design, its underlying philosophy, the individual teaching modules, and the modular hardware/software of the F1TENTH platform. This new course was then evaluated with a survey conducted at five universities that have adopted the teaching modules for their semester-long undergraduate and graduate courses. The results show that approximately 80% of all involved students strongly agree that the hardware platform and modules significantly increased their motivation to learn. More than 70% of the students agreed that the hardware enhanced their understanding of the material The findings demonstrate that our course setup and the F1TENTH hardware effectively combine theoretical knowledge with practical application, greatly enhancing the educational outcomes and the students' computational thinking skills. Future research is needed to explore the long-term impact of hands-on learning on students' career development in intelligent autonomous systems.]]></description>
      <pubDate>Wed, 29 Apr 2026 09:10:07 GMT</pubDate>
      <guid>https://trid.trb.org/View/2659119</guid>
    </item>
    <item>
      <title>Understanding cycling uptake on university campuses in developing countries</title>
      <link>https://trid.trb.org/View/2692460</link>
      <description><![CDATA[University campuses in developing countries face growing mobility pressures, yet cycling remains underused despite its affordability and sustainability benefits. This study investigates the social, infrastructural, and demographic factors influencing cycling adoption within a major university campus in Peshawar, Pakistan. A questionnaire captured sociodemographic characteristics, perceptions of stigma, safety, social norms, infrastructure, and bike-sharing accessibility. A total of 441 valid responses from students, faculty, and staff were analyzed. Exploratory Factor Analysis identified four key dimensions shaping cycling perceptions: Status Stigma and Safety Concerns, Social Norms and Influences, Supportive Cycling Infrastructure, and Bike-Sharing Services. Structural Equation Modeling was applied to assess both direct and mediated effects of demographic variables on the intention to cycle. Results show that actual bicycle use on campus is very low, while car and public transport dominate commuting choices. Students demonstrated a higher willingness to adopt cycling than faculty, while staff showed the highest overall acceptance. Gender, income, and travel distances significantly influenced the four perceptual factors, which in turn strongly predicted cycling intentions. Supportive infrastructure and bike-sharing services showed significant positive effects, while women reported substantially lower willingness. Status stigma remained prevalent but did not affect willingness to cycle. The findings underscore the need for integrated interventions that combine cycling infrastructure, traffic calming measures, secure parking, end-of-trip facilities, and strategically located bike-sharing stations. Addressing gender-specific barriers and shifting social norms are also essential. The study provides context-specific evidence for promoting cycling as a viable, equitable, and sustainable travel mode on university campuses in developing-country settings.]]></description>
      <pubDate>Tue, 28 Apr 2026 11:18:51 GMT</pubDate>
      <guid>https://trid.trb.org/View/2692460</guid>
    </item>
    <item>
      <title>Wheels within reach: Evaluating bike share equity impacts of a pseudo-free student pass using network-distance-based kernel density</title>
      <link>https://trid.trb.org/View/2692423</link>
      <description><![CDATA[The rapid expansion of bike share systems has raised important questions about who benefits from these services and whether new policies or investments promote equitable access. In September 2024, the McMaster Students Union introduced a pseudo-free student pass program that provided heavily subsidized annual memberships to all undergraduate students at McMaster University for Hamilton Bike Share. This sudden influx of student demand created an opportunity to examine how such a policy or partnership reshapes patterns of bike share use and availability across the city. This paper investigates the spatial and social equity implications of the program by analyzing daily morning bike availability before and after its introduction, with a focus on historically underrepresented groups including women, young residents, older adults, visible minority groups, and low-income residents. We applied hexagonal-level network-distance-based kernel density estimation to quantify daily morning bike share availability over a four-month period in fall 2023 and 2024, and computed two equity metrics using sociodemographic data from the 2021 Canadian Census to assess both spatial and social equity performance. Statistical significance of equity changes was evaluated through bootstrapping. Our findings show that female, older adult, and low-income populations experienced a statistically significant net decline in overall equity, while young residents saw a significant improvement. For visible minority groups, spatial equity improved, but social equity declined significantly. To facilitate interpretation and policy application, we present an equity quadrant analysis framework that explicitly accounts for trade-offs between these two dimensions. As a case study, this research provides evidence on the broader equity implications of ridership-increasing policies in active transportation, while offering a generalizable framework for connecting spatial and social equity in the design of inclusive mobility systems.]]></description>
      <pubDate>Mon, 27 Apr 2026 14:58:58 GMT</pubDate>
      <guid>https://trid.trb.org/View/2692423</guid>
    </item>
    <item>
      <title>Transforming Transportation with an Innovative and Talented Workforce: A Transportation Careers Workshop</title>
      <link>https://trid.trb.org/View/2689410</link>
      <description><![CDATA[The proposed event will be a two-day workshop in Durango, Colorado, at both Fort Lewis College and another community site or high school, featuring several key presentations and a panel discussion. The first day will consist of speakers and presentations. The second day will consist of interactive feedback at separate locations regarding the results of vocational assessment inventories. The target population of workshop participants will be high school and college students interested in learning more about careers in the transportation industry. Participants will complete surveys and career-planning instruments and receive detailed interpretations of their results to help them narrow their career choices. Representatives from trucking, transit, state DOTs, and the supply chain industry will be invited to participate as experts, delivering presentations that describe careers and opportunities in the transportation industry. In addition, there will be an interactive session to help participants prioritize their vocational interests and preferences. Lastly, a networking event with presenters will also be arranged.

In addition to providing career information on activities, salaries, and other employment and career opportunities in the transportation industry, the proposed workshop will also address two main needs regarding the recruitment of potential entrants to the transportation industry. First, identify a transportation career profile for prospective applicants to target highly congruent candidates for the industry. This profile will provide researchers with an opportunity to develop an interest and preference profile of prospective students whose interests are congruent with the industry. Identifying those persons who are likely to be congruent allows outreach efforts to be tailored and targeted, and limited funds and resources to be used more effectively. Second, a short, easy-to-use web page that could assist students in obtaining information about transportation careers in general, with a brief survey or questionnaire to help narrow down interests in transportation careers, which then directs users to more targeted information. This web page could then be made available to other UTC programs that conduct transportation and career outreach events. The web page will be used to tally hits, and requests for applications will help more accurately measure the impact of the workshop's outreach efforts. This outreach project will also incorporate the development and implementation of a prototype webpage to evaluate the workshop and serve other UTCs.]]></description>
      <pubDate>Wed, 08 Apr 2026 17:37:26 GMT</pubDate>
      <guid>https://trid.trb.org/View/2689410</guid>
    </item>
    <item>
      <title>Differences in future car-purchase intentions between undergraduates from car-owning households and non-car households</title>
      <link>https://trid.trb.org/View/2681462</link>
      <description><![CDATA[Existing studies have revealed the impact of psychological factors on future car-purchase intentions among undergraduates. However, whether these effects differ across household car ownership contexts remains unclear. With the survey data from Nanjing, China, this study compares the car-purchase intentions of undergraduates from car-owning households and non-car households, treating household car ownership as a long-term mobility context. A partial least squares structural equation model is employed to examine the group difference in the effects of psychological factors. The multi-group analysis shows that undergraduates from car-owning households pose stronger future car purchase intentions than those from non-car households do. The difference is explained by the disparity in students' attitudes toward cars and public transportation. Undergraduates from car-owning households are more positively influenced by instrumental value and independence perceived from cars, whereas undergraduates from non-car households exhibit stronger car purchase intentions driven primarily by subjective social norms and symbolic/affective values. Negative public transit services have an impact of similar extents, regardless of whether their households own a car or not. Further analysis reveals substantial heterogeneity within car-owning households. Willingness to use public transport significantly moderates the effects of symbolic/affective value and social norms, while gender and driving license ownership also shape specific psychological paths. The results suggest that policies aimed at shaping individuals’ perceptions of car use and sustainable transport should account for heterogeneity across household and individual backgrounds.]]></description>
      <pubDate>Mon, 30 Mar 2026 08:56:43 GMT</pubDate>
      <guid>https://trid.trb.org/View/2681462</guid>
    </item>
    <item>
      <title>Understanding travel behavior and mode choice prediction for university commuters: Insights from discrete choice models and machine learning</title>
      <link>https://trid.trb.org/View/2636371</link>
      <description><![CDATA[While there has been a growing interest in studying the commuting behavior of university students using mode choice models, most existing studies still lack the in-depth analysis needed to fully understand the factors influencing their transportation mode choices. To address this gap, this study examines the effects of various built-environment factors, socio-economic factors, and travel information to explore the commuting behavior of university commuters. Various prediction models based on discrete choice models (DCMs) and machine learning (ML) techniques are developed to predict the travel mode choice of university commuters. The developed prediction models are tested using a Commuting Habits survey conducted at a Canadian university. The results indicate that for transit and walk, household attributes such as car ownership, household size, and income level have significant impacts on choosing these modes as primary modes of transportation. It was also observed that car ownership and availability of transit passes are the most influential factors. As such, policymakers can further examine these relationships to incentivize commuters to promote sustainable transportation modes. Comparing DCM and ML-based models to predict the mode choice of university commuters, the analysis revealed that although the multinomial logit discrete choice (MNL) model resulted in lower performance in predicting commuters’ travel mode choices, it provides more insightful information regarding each specific mode of transportation. ML models prioritize information differently when making predictions, with MNL placing more emphasis on socio-demographic variables and household characteristics of respondents, whereas ML algorithms rely more on revealed travel-related variables.]]></description>
      <pubDate>Fri, 27 Mar 2026 10:20:35 GMT</pubDate>
      <guid>https://trid.trb.org/View/2636371</guid>
    </item>
    <item>
      <title>Exploring the determinants of shared e-scooters acceptance: A case study of Chinese college students</title>
      <link>https://trid.trb.org/View/2676132</link>
      <description><![CDATA[Shared electric scooters (shared e-scooters) have emerged as a promising green transportation mode, demonstrating significant advantages in mitigating urban environmental pressure and alleviating traffic congestion due to their electric-driven nature and zero-emission characteristics. Despite the rapid market development, the adoption of shared e-scooters in China remains unsatisfactory. Public acceptance among Chinese college students, who constitute a major part of the youth population, is a crucial factor determining the popularity of shared e-scooters. In light of the above, this study extends the original Technology Acceptance Model by introducing four additional psychological latent variables (i.e., subjective norms, personal innovativeness, perceived risk, and trust) to develop a comprehensive model to analyze acceptance of shared e-scooters and its influencing factors among Chinese college students. The proposed model was tested using data from an online survey of 428 college students, which collected their attitudes toward shared e-scooters. The calibrated model explains 78.2% of the variance in behavioral intention in the data, exhibiting superior explanatory power. Results reveal that subjective norms (0.823), attitude (0.285), personal innovativeness (0.28), perceived usefulness (0.148), and trust (0.121) have positive impacts on the students’ intention to use shared e-scooters, while perceived risk (-0.129) exhibits a negative influence. These results provide valuable insights into how key factors influence the acceptance of shared e-scooters among Chinese college students. Practical implications are discussed in the context of how relevant enterprises and government departments can formulate effective promotional strategies to encourage the widespread adoption of shared e-scooters in China.]]></description>
      <pubDate>Fri, 27 Mar 2026 10:13:31 GMT</pubDate>
      <guid>https://trid.trb.org/View/2676132</guid>
    </item>
    <item>
      <title>At the intersection: the impact of work and university schedules on daily mobility of working students</title>
      <link>https://trid.trb.org/View/2643479</link>
      <description><![CDATA[In recent years, a significant proportion of students have already been employed while studying at university. Consequently, they have to balance their daily activities with work and studies. This research draws on Lefebvre’s Rhythmanalysis to highlight the existence of two completely distinct rhythms – the work rhythm and the student rhythm – and to demonstrate the possible clash of these rhythms in the everyday lives of university students. The paper elucidates the coexistence of these two rhythms in the context of the daily mobility of working students. The empirical research is based on semistructured interviews conducted in 2024 in the Brno Metropolitan Area (Czechia). The analysis reveals that the coexistence of two different rhythms creates eurhythmic and arrhythmic states, which have a direct impact on students’ mobility strategies. Within eurhythmia, individuals associate mobility between the university and work with multiple meanings, such as transporting as quickly as possible, necessary detour, transition phase or chaining of activities, shaping the structure of their movements in time and space. Due to the variability of constants influencing these rhythms, clashes occur, leading to arrhythmia and changes in meaning and perception of mobility, resulting in new mobility strategies. Variations over time prove the arrhythmia-recuperation-eurhythmia process.]]></description>
      <pubDate>Fri, 20 Mar 2026 14:47:19 GMT</pubDate>
      <guid>https://trid.trb.org/View/2643479</guid>
    </item>
    <item>
      <title>The impact of travel on perceived activity performance</title>
      <link>https://trid.trb.org/View/2665971</link>
      <description><![CDATA[Many studies in the past two decades have explored travel satisfaction and its determinants. However, how travel satisfaction impacts emotions after trips and the performance of activities upon arrival have only been explored to a limited extent. In this study – using data from online surveys – the authors analyze travel satisfaction of 2000+ students and staff of University College London travelling to campus, and how this influences the emotions upon arrival and the perceived performance of the first activity after arriving on campus. Additionally, the authors explore how trip characteristics (e.g., mode, duration, weather) influence the above three elements. Results from one-way ANOVAs and a structural equation model show that there are strong spill-over effects of trip satisfaction on the emotions and activity performance upon arrival. The authors also found that the used travel mode and trip duration influence trip satisfaction, emotion upon arrival and perceived activity performance. However, their effects on emotions and activity performance are mainly indirect via travel satisfaction. Results indicate that active and short trips will not only improve travel satisfaction, but that they can also positively influence people's mood and the performance of activities. Hence, transport planning concepts stimulating short/active trips have the potential to improve emotional well-being and – through better perceived activities – overall life satisfaction.]]></description>
      <pubDate>Wed, 18 Mar 2026 09:00:01 GMT</pubDate>
      <guid>https://trid.trb.org/View/2665971</guid>
    </item>
    <item>
      <title>Beyond Numbers: Understanding What Shapes Transport Mode Choices among Students at the University of the Philippines Diliman</title>
      <link>https://trid.trb.org/View/2646022</link>
      <description><![CDATA[Robust transport connectivity is critical for ensuring access to education, especially for university students who have higher mobility needs and flexibility in choosing transport modes compared to other age groups. Building on a previous quantitative analysis by the researchers, which examined the factors influencing the transport mode choices of students at the University of the Philippines Diliman as they travel to, within, and from the campus, this research seeks to deepen understanding of the determinants influencing their mode choices with qualitative methods, such as online focus group discussions and mapping activities. These methods were employed to gain insightful perspectives on the relevant measures, policies, and investments necessary to enhance transportation services and infrastructure on campus. The findings underscore the importance of adopting bottom-up approaches in the university's land use development and infrastructure planning (LUDIP) efforts, as well as their role in promoting "inclusive and equitable quality education and lifelong learning opportunities for all.”]]></description>
      <pubDate>Thu, 12 Mar 2026 16:30:58 GMT</pubDate>
      <guid>https://trid.trb.org/View/2646022</guid>
    </item>
    <item>
      <title>Developing an e-scooter level of service model for shared spaces: Insights from Davis, California</title>
      <link>https://trid.trb.org/View/2639408</link>
      <description><![CDATA[The rapid integration of e-scooters into transport systems has outpaced proper planning, impacting the experiences of users across all modes of transport. This underscores the urgent need to evaluate the experiences of e-scooter riders, particularly in their interactions with other road users. To address this need, we conducted a dedicated video-based experiment as part of the annual UC Davis Campus Travel Survey (CTS), involving 1142 e-scooter users and non-users. The aim was to analyse comfort levels when e-scooter riders interact with pedestrians and cyclists, laying the groundwork for developing an e-scooter level-of-service (LOS) assessment framework. We categorised interactions into passing (same-direction encounters), meeting (opposite-direction encounters), and mixed scenarios involving both interaction types. Building on this, we proposed a framework that integrates encounter direction with users’ demographic characteristics and attitudes to better understand perceived comfort. Subsequently, we estimated a Bayesian multilevel cumulative logistic regression model to quantify e-scooter riders’ comfort across different interaction types. Findings from the statistical model reveal that meeting or mixed interactions generally induce more discomfort than passing interactions among e-scooter riders. This contrasts with traditional findings in the bicycle literature, where meeting scenarios are often deemed more comfortable due to opportunities for nonverbal communication. Additionally, comfort levels of e-scooter riders in different interactions with pedestrians varied across gender groups and were significantly influenced by individuals’ general comfort with walking near e-scooters. The model results were translated into heterogeneous measures related to LOS for e-scooter riders, which are crucial for planners and policymakers to improve navigation in shared spaces, particularly for emerging transport modes and underrepresented groups.]]></description>
      <pubDate>Thu, 12 Mar 2026 14:02:12 GMT</pubDate>
      <guid>https://trid.trb.org/View/2639408</guid>
    </item>
    <item>
      <title>Satisfaction with travel and its associated factors among university students</title>
      <link>https://trid.trb.org/View/2659446</link>
      <description><![CDATA[Satisfaction with travel (SWT) has received less attention, particularly among university students, in the global south, which includes southern America and Chile. In Temuco, one of Chile's medium-sized southern cities, university students make up nearly one-sixth of the population. This study aims to investigate SWT and its related factors among university students in this city. In addition, these correlations were investigated according to each mode of transportation. The data was collected from Temuco's six universities using quota sampling and multiple linear regressions. Although a majority of students use public transportation, they are far less satisfied with it than they are with their private cars and active travel. On the other hand, even though a small portion of university students use private vehicles, this mode of transportation contributes to the greatest SWT. In addition, higher income and the male population are linked to higher SWT. Less SWT by public transportation is also a result of more private vehicles in the household. Similarly, for all travel mode choices, distance was negatively correlated with SWT. Furthermore, a higher SWT for active travel trips is linked to perceived safety from motor vehicles. Moreover, companionship is linked to increase SWT for active travel trips. Finally, one of the research's novelties was the identification of a lifestyle type and a personal value called security that was linked to overall SWT. The results could be used by this city's transportation and urban policymakers to improve SWT among university students.]]></description>
      <pubDate>Wed, 25 Feb 2026 13:58:58 GMT</pubDate>
      <guid>https://trid.trb.org/View/2659446</guid>
    </item>
    <item>
      <title>Optimization of On-Campus Students’ Travel Utility</title>
      <link>https://trid.trb.org/View/2562245</link>
      <description><![CDATA[Many universities worldwide have experienced high influx of students’ intake in recent times. However, most university authorities fail to plan for the surge by improving the conditions of existing transport infrastructure or the construction of new facilities for effective on-campus mobility. This study optimised students’ trip utility using the Genetic Algorithm (GA) technique. Objectives of the study were to identify the available mode choices on the Joseph Sarwuan Tarka University, Makurdi (JOSTUM), Nigeria campus, examine students’ socio-demographic characteristics vis-à-vis travel behaviour, develop a students’ trip utility function, and optimize the function using GA technique. An online self-structured questionnaire was administered to 364 randomly selected students drawn from three colleges of the University with a total population of 4,045 students. The instrument examined students’ socio-demographic characteristics and travel behaviour that were used to build the trip utility function, then optimised using GA technique. Results of the study indicated that students’ mode choices were influenced by monthly income, car/bike ownership, accessibility of public transport, safety, and comfort. Statistical performance of the optimised model showed 61.10% coefficient of determination with buses as the optimum mode choice. Therefore, the study recommended improved bus service, increased headway, and the construction and rehabilitation of pedestrian infrastructure for sustainable transport development to cater for the preferences and travel demands of university students.]]></description>
      <pubDate>Fri, 20 Feb 2026 15:28:27 GMT</pubDate>
      <guid>https://trid.trb.org/View/2562245</guid>
    </item>
    <item>
      <title>Investigating factors that influence the frequency of ride hailing use among university students in Banda Aceh, Indonesia</title>
      <link>https://trid.trb.org/View/2618860</link>
      <description><![CDATA[The widespread deployment of information and communication technology (ICT) has allowed ride hailing services to grow exponentially over the last few years. This study aims to investigate ride hailing use frequency among university students in Banda Aceh, Indonesia. The city offers unique characteristics since it has limited public transport facilities, a growing number of vehicle ownership, and traffic dominated by motorcycles. Ride hailing services in this city are predominantly motorcycle-based, hence they could potentially have substitution effects on private vehicle use and ownership. This study focused on university students because their travel behaviour often differs from general public, and they form the majority users of ride hailing services. Ordinal logistic regression was employed, drawing from 219 valid responses from a survey disseminated in 2023. The variables explored include individual and household characteristics, travel attributes, and perceptions on ride hailing services. It was found that the most significant factors that encourage students to frequently use ride hailing services include working part-time, having high allowance, perceiving good level of convenience and service. On the other hand, attributes that have the biggest effects in discouraging ride hailing use include low travel cost, sitting in 5th semester or later, and living in a private house. This study offers insights into ride hailing behaviour in the context of a city with limited public transport facilities and severe motorcycle composition, which can help regulators and operators to improve policies around the platforms.]]></description>
      <pubDate>Wed, 11 Feb 2026 09:17:43 GMT</pubDate>
      <guid>https://trid.trb.org/View/2618860</guid>
    </item>
  </channel>
</rss>