Transportation Research Interdisciplinary Perspectives最新文献

{"title":"Examining the influence of personal-time-based accessibility on the frequency of public transit use among older adults across Canada","authors":"Meredith Alousi-Jones,&nbsp;Ahmed El-Geneidy","doi":"10.1016/j.trip.2025.101381","DOIUrl":"10.1016/j.trip.2025.101381","url":null,"abstract":"<div><div>Many older adults face the prospect of driving cessation as they age. Ensuring that public transit services meet their needs could contribute to their independent mobility and long-term health. Accessibility, the ease of reaching destinations by a certain mode, is a measure that can be used to indicate how well the land use and transport systems allow people to reach their desired destinations. This paper explores how perceived and objective levels of accessibility influence older adults’ frequency of public transit use in a Canadian context. Based on a survey collected in six Canadian regions (N = 2,452), we use respondents’ stated reasonable travel time by public transit to generate a personal-time-based cumulative accessibility measure. We then develop a weighted binary logistic regression model to understand the impacts of the personal-time-based accessibility measure, perceived accessibility, and other personal characteristics on older adults’ frequency of public transit use. The results indicate that both perceived and personal-time-based accessibility have a strong and positive impact on frequent public transit use. Older women were found to be more frequent public transit users, whereas older adults who have access to a private vehicle use public transit significantly less. Findings from this research support the utilization of accessibility by public transit as a tool to better assess and plan for the transport needs of older adults. The results can be relevant for transport planners and policy makers interested in improving the well-being and independence of older adults through increasing their use of public transit.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"31 ","pages":"Article 101381"},"PeriodicalIF":3.9,"publicationDate":"2025-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143611562","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A roll down memory lane: Policy implications of nostalgic experiences in shared e-scooter consumption","authors":"Karly Nygaard-Petersen","doi":"10.1016/j.trip.2025.101371","DOIUrl":"10.1016/j.trip.2025.101371","url":null,"abstract":"<div><div>This ethnographic study leverages transit diaries, in-depth interviews, and participant observation to examine consumptive experiences of shared e-scooter use. Moving beyond functional and utilitarian motivations, this research draws on Consumer Culture Theory to uncover the affective dimensions that shape users’ experiences with e-scooters. Findings reveal nostalgia, underpinned by consumer feelings of freedom and social connectedness, are present in e-scooter experiences and implications for policy makers are discussed. By increasing awareness of consumptive experiences of e-scooters, this research contributes to an understudied area of transportation and mobility research, and holds potential to assist cities in understanding how to better implement first- and last-mile transit solutions as micromobility moves out of the periphery and into the core of transit systems.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"31 ","pages":"Article 101371"},"PeriodicalIF":3.9,"publicationDate":"2025-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143601464","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Understanding Heterogeneity in Intended Frequency of Online Grocery Shopping Across Life Stages and Lifestyle","authors":"Shubhayan Ukil ,&nbsp;Aditi Misra ,&nbsp;Anna Henderson ,&nbsp;Wesley Marshall","doi":"10.1016/j.trip.2025.101382","DOIUrl":"10.1016/j.trip.2025.101382","url":null,"abstract":"<div><div>Emerging technologies and access to the internet have been gradually shaping daily activities and travel patterns over the last two decades. Pandemic-induced disruption accelerated the adoption of these technologies by normalizing tele-activities other than teleworking, such as online grocery shopping. Understanding the shift in travel patterns with this change is important for multiple reasons: land use planning for sustainable grocery shopping outcomes, travel impact assessment, and resilient supply chain planning. In this paper, we used a stated preference survey dataset to understand (i) how the intended frequency of online grocery shopping varies across people, (ii) how their other day-to-day lifestyle activities influence online grocery shopping frequency, and (iii) what role does their residential built environment play in online grocery shopping frequency. We performed Latent Class Analysis to classify people into different classes based on heterogeneity in their lifestyle, which we defined as a combination of their social proclivity, liking for outdoor activities, technology friendliness, and pro-environment choices. We then modeled the intended frequency of online grocery shopping across the latent classes controlling for residential built environment characteristics, life stage, and socioeconomic characteristics of class members. Our results indicate that lifestyle characteristics, life stage, and residential built environment strongly influence online grocery shopping frequency. In fact, life stage significantly influences online grocery shopping frequency, irrespective of lifestyle characteristics. Further, having mixed land use at the residential location can motivate people to do in-person grocery shopping using active modes even when their lifestyle characteristics are not necessarily aligned with eco-friendly living.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"31 ","pages":"Article 101382"},"PeriodicalIF":3.9,"publicationDate":"2025-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143611561","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A systematic review of data privacy in Mobility as a Service (MaaS)","authors":"Zineb Garroussi ,&nbsp;Antoine Legrain ,&nbsp;Sébastien Gambs ,&nbsp;Vincent Gautrais ,&nbsp;Brunilde Sansò","doi":"10.1016/j.trip.2024.101254","DOIUrl":"10.1016/j.trip.2024.101254","url":null,"abstract":"<div><div>Mobility as a Service (MaaS) integrates various transportation modes to offer seamless urban mobility solutions. However, the extensive collection and sharing of user data on MaaS platforms pose significant privacy challenges. This systematic review identifies key data privacy concerns, evaluates current privacy-preserving technologies, and explores the role of regulatory frameworks in ensuring user privacy in MaaS systems. Using the PRISMA framework, a comprehensive literature search across Web of Science, Elsevier, and IEEE Xplore databases resulted in the selection of 32 studies for detailed analysis.</div><div>The review is structured around three main themes: (1) Privacy-Preserving Techniques, including anonymization strategies (k-anonymity, differential privacy, obfuscation), encryption methods (blockchain, cryptographic protocols), federated learning for decentralized data processing, and advanced algorithms for optimizing privacy budgets and balancing utility-privacy trade-offs; (2) User Trust and Privacy Perceptions, highlighting that trust in service providers is essential for MaaS adoption, privacy concerns may impact adoption but do not necessarily prevent it (the “privacy paradox”), and awareness of data misuse affects user trust and willingness to adopt MaaS; and (3) Regulatory Frameworks, focusing on the importance of GDPR compliance to ensure strict data protection through consent and transparency, and embedding privacy-by-design principles within MaaS architectures to safeguard user data from the outset.</div><div>This review emphasizes the need for a holistic approach, integrating technological innovation, user-centered design, and strong regulatory oversight to effectively address privacy challenges in MaaS. Future research should focus on developing scalable privacy frameworks that protect user data without compromising operational efficiency.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"31 ","pages":"Article 101254"},"PeriodicalIF":3.9,"publicationDate":"2025-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143592741","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Using computer vision and street-level videos for pedestrian-vehicle tracking and behaviour analysis","authors":"Roberto Ventura ,&nbsp;Stella Roussou ,&nbsp;Apostolos Ziakopoulos ,&nbsp;Benedetto Barabino ,&nbsp;George Yannis","doi":"10.1016/j.trip.2025.101366","DOIUrl":"10.1016/j.trip.2025.101366","url":null,"abstract":"<div><div>The extraction and exploitation of Surrogate Safety Measures (SSMs) have gained prominence in recent years, aided by rapid emerging technologies. SSMs can be applied in all aspects of safety, enabling new insights for analysing road user behaviour. In this context, this paper presents an integrated framework for tracking pedestrians and vehicles in complex urban environments, with a focus on analysing behaviours in relation to the traffic light status and the computation of the Time-to-Collision (TTC). Utilising advanced computer vision object detection and the feature extraction models of YOLOv8 and ResNet-50, this framework integrates Kalman filtering, homography transformations, and object re-identification to achieve high accuracy. The data used for this study were roadside video recordings from the Athens centre (Greece). Notably, the results show accuracy rates of 50 % to 70 % in detecting traffic light statuses and identified a 23 % discrepancy on average between manual and automated counts of illegal crossings. One of the key strengths and contributions of the study is the utilisation and transformation of street-level data provided by smartphone camera recordings, which emphasise the ease of transferability of the proposed approach without the requirements of specialised, costly, or heavy equipment. The analysis of pedestrian compliance, particularly during intergreen phases, provides novel knowledge on pedestrian behaviour and highlights opportunities to improve intersection design for safety. This study underscores the potential of computer vision detection systems to provide reliable, real-time data that takes the road network conditions into account, ultimately contributing to safer urban traffic management and informed policy decisions.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"30 ","pages":"Article 101366"},"PeriodicalIF":3.9,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143520274","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Public transit of the future: Enhancing well-being through designing human-centered public transportation spaces","authors":"Yasaman Hakiminejad ,&nbsp;Elizabeth Pantesco ,&nbsp;Arash Tavakoli","doi":"10.1016/j.trip.2025.101365","DOIUrl":"10.1016/j.trip.2025.101365","url":null,"abstract":"<div><div>Studies show that psychological effects are one of the top concerns for public transportation users. While many Americans spend a significant portion of their time in public transportation spaces, the impact of the design and maintenance of these spaces on user well-being has not been fully studied. In this study, we conducted a survey to better understand the effect of implementing different designs on people’s well-being and perceptual metrics (N <span><math><mo>=</mo></math></span> 304). Participants were presented with six images depicting different cabin configurations, including (1) the current version of the cabin space, (2) a low-maintenance version, (3) an aesthetically enhanced version, (4) a bike rack-enabled version, (5) a version with an added workspace, and (6) an improved version with biophilic design. After viewing each image, participants’ well-being metrics (e.g., stress, and emotion) and their public transportation perception metrics (e.g., perceptions of safety, and reasonable cost) were evaluated. Our results from linear mixed-effect modeling indicated that adding functional amenities and biophilic design elements led to an overall enhancement in well-being and perceptual metrics. Conversely, low maintenance worsened all measured well-being metrics. This research lays the ground for developing human-centered public transportation spaces that can lead to an increase in public transportation adoption.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"30 ","pages":"Article 101365"},"PeriodicalIF":3.9,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143529727","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessing the impact of fixed speed cameras on speeding behavior and crashes: A longitudinal study in New York City","authors":"Jingqin Gao ,&nbsp;Di Yang ,&nbsp;Chuan Xu ,&nbsp;Kaan Ozbay ,&nbsp;Smrithi Sharma","doi":"10.1016/j.trip.2025.101373","DOIUrl":"10.1016/j.trip.2025.101373","url":null,"abstract":"<div><div>Speeding is a leading contributor to fatal crashes. This longitudinal study examines the short- and long-term changes associated with an automated speed enforcement program’s expansion from 2019 to 2021 in New York City, including the COVID-19-induced surge on speeding behaviors and the complex nature of high volumes of pedestrians and non-motorized vehicles. Leveraging speeding tickets from 1,821 fixed speed cameras in school zones and crash data, this study employs interrupted time-series, spatial distribution, clustering analysis, and Survival Analysis with a random effect (SARE) to investigate if such a program brings about immediate and/or long-term change in speeding behaviors and crash reduction. The findings suggest a decrease in speeding tickets by an average of 18.4 %, 13.3 %, and 0.6 % in the second-, third- and fourth-month post-installation, demonstrating the program’s short-term efficacy in reducing speeding behavior. However, diminishing and time-lag effects were observed at some camera locations, indicating the need for further investigation and potential alternative safety interventions at these sites. Long-term analysis revealed a substantial 75 % reduction in speeding tickets by the end of 2021, despite a temporary surge during the pandemic. Four different long-term patterns were identified. Furthermore, crash analysis showed a statistically significant 14 % decrease in traffic crashes (pre-COVID) following speed camera implementation. Overall, the program has been largely successful in reducing speeding violations and traffic crashes, but its temporal effect varies across sites. Continuous monitoring, data-led adaptive strategies, and additional safety countermeasures are needed to optimize the program’s impact.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"30 ","pages":"Article 101373"},"PeriodicalIF":3.9,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143577522","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Citizen-centric design in mHealth: Concept mapping for active transportation promotion","authors":"Nuttanun Siriaporn ,&nbsp;Audrey de Nazelle ,&nbsp;Anne Vuillemin","doi":"10.1016/j.trip.2025.101367","DOIUrl":"10.1016/j.trip.2025.101367","url":null,"abstract":"<div><h3>Purpose</h3><div>Active transportation (AT) offers a sustainable means of enhancing daily physical activity and mitigating transportation-related pollution. Leveraging mobile health (mhealth) technology can be a valuable tool to promote AT behavior. However, existing interventions often lack evidence-based behavior change techniques and rarely involve potential end-users in the development process. This study aims to explore the promotion of AT through mhealth interventions using a participatory approach.</div></div><div><h3>Methods</h3><div>We conducted online concept mapping sessions with residents of the Alpes-Maritimes Department in France. Participants engaged in brainstorming, sorting, and rating of ideas related to app features designed to encourage AT. We employed multidimensional scaling and hierarchical cluster analysis to visualize the participants’ collective conceptual thinking on this subject. Data was stratified by participant demographics, including age, education, and typical mode of transportation.</div></div><div><h3>Results</h3><div>Participants collectively generated 44 ideas perceived as useful to fostering AT behaviors. These ideas formed six main concepts, ranked by efficiency to encourage AT as follows: Infrastructure (n = 9 ideas), Itinerary (n = 9), Contact with government (n = 4); Data (n = 12); App usability (n = 6); and Legislation and code of conduct (n = 4).</div></div><div><h3>Conclusions</h3><div>The study highlights the pivotal role of infrastructure in fostering AT. Travelers could also be effectively engaged through app features such as tailored information on the presence and quality of AT infrastructure, hybrid multimodal journey planning, and time and cost savings by different travel modes. Engaging with local governments via the app is identified as a novel and promising approach to AT promotion. Indications of specific tailoring opportunities for different demographic groups need to be further investigated.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"30 ","pages":"Article 101367"},"PeriodicalIF":3.9,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143520273","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Underreporting and selection bias of serious road traffic injuries in auto insurance claims and police reports in British Columbia, Canada","authors":"Michael Branion-Calles ,&nbsp;Andrea Godfreyson ,&nbsp;Kate Berniaz ,&nbsp;Neil Arason ,&nbsp;Herbert Chan ,&nbsp;Shannon Erdelyi ,&nbsp;Meghan Winters ,&nbsp;Joy Sengupta ,&nbsp;Mohamed Essa ,&nbsp;Fahra Rajabali ,&nbsp;Jeffrey R. Brubacher","doi":"10.1016/j.trip.2025.101375","DOIUrl":"10.1016/j.trip.2025.101375","url":null,"abstract":"<div><h3>Background</h3><div>Administrative datasets (police reports, insurance claims, medical records), form the basis for road safety research, but suffer from under-reporting and selection bias. Data linkage can provide a fuller picture of road traffic injuries and provide insight into dataset-specific biases. We examined the overlap of serious road traffic injuries involving motor vehicles reported in hospitalization records, police reports, and insurance claims in British Columbia, Canada (2015 – 2019) and assess selection bias within each injury dataset.</div></div><div><h3>Methods</h3><div>We probabilistically linked police reports, insurance claims, and hospital admissions to a provincial population directory, identifying distinct persons and injuries across datasets. Injuries were linked to sociodemographic and geographic details from other government data including age, sex, low-income status, neighbourhood income and health authority. We analyzed serious injuries to drivers, cyclists and pedestrians. We assessed the proportion of injuries captured by a database (ascertainment rate) and assessed selection bias based on which sociodemographic groups were more likely to only be captured in hospital admissions.</div></div><div><h3>Results</h3><div>From 2015 to 2019, we estimated 57,097 motor vehicle-involved injuries (48,198 motor vehicle drivers, 2,641 cyclists, 6,258 pedestrians). Insurance claims had the highest ascertainment rate for drivers (95.7%), but lower for cyclists (83.3%) and pedestrians (76.5%). Police records and hospital admissions better captured cyclist and pedestrian injuries compared to driver injuries. Unlinked hospital admission injuries were more likely from low-income and remote populations.</div></div><div><h3>Conclusions</h3><div>The underreporting highlights the need for improved injury data collection especially for pedestrian and cyclists, to better capture the full injury burden, particularly among marginalized sociodemographic groups.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"30 ","pages":"Article 101375"},"PeriodicalIF":3.9,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143561810","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Corrigendum to “The expression of anger while driving – The role of personality and self-consciousness in a sample of Chinese drivers” [Transport. Res. Interdiscipl. Perspect. 20 (2023) 100838]","authors":"Chenzhao Zhai,&nbsp;Samantha Jamson,&nbsp;Zahara Batool,&nbsp;Ann Jopson","doi":"10.1016/j.trip.2025.101358","DOIUrl":"10.1016/j.trip.2025.101358","url":null,"abstract":"","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"30 ","pages":"Article 101358"},"PeriodicalIF":3.9,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143619599","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}