Transportation Research Interdisciplinary Perspectives最新文献

{"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":"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":"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":"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":"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":"Overcoming electric vehicle data quality issues in emerging markets and developing economies","authors":"Joao M. Uratani ,&nbsp;Steve Griffiths","doi":"10.1016/j.trip.2025.101378","DOIUrl":"10.1016/j.trip.2025.101378","url":null,"abstract":"<div><div>Data ambiguity and incompleteness are standing problems in the study of electric vehicle (EV) adoption, particularly in emerging markets and developing economies. In this commentary, we present a specific case study and discuss its policy ramifications. Stemming from our research into EV adoption in the United Arab Emirates, we discuss how conflicting data on EV penetration in this market can hinder the effectiveness of tailored policy tools for specific consumer segments. We argue that a key driver for EV data ambiguity and incompleteness is the proliferation of both academic and grey literature on EV adoption based on data acquisition and quality practices that are not sufficient. We conclude with three recommendations aimed at improving future EV research and related policy development.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"30 ","pages":"Article 101378"},"PeriodicalIF":3.9,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143550923","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":"From Car-Dependent to Public Space Enthusiast: How can a typology of attitudes help to understand social acceptance of street space reallocation projects?","authors":"Julia Schreibmüller ,&nbsp;Simone Aumann ,&nbsp;Sebastian Preiß ,&nbsp;Julia Kinigadner","doi":"10.1016/j.trip.2025.101370","DOIUrl":"10.1016/j.trip.2025.101370","url":null,"abstract":"<div><div>Reduced car ownership and use as well as public space reallocation are understood as a relevant part of a transition towards sustainable mobility and livable cities. Despite frequent protest following low-car interventions and the importance of acceptance for a successful transition, there is limited understanding of the social acceptance of street space reallocation measures. This research identifies types of attitudes towards temporary street space reallocation measures on the neighborhood level to develop a better understanding of residents’ social acceptance and the underlying explanatory factors. Using a coding frame, interview notes with residents of two neighborhoods in Munich were qualitatively analyzed and grouped into types based on similar characteristics and combinations of characteristics. In-depth interviews were conducted later to refine the types and identify acceptance drivers and barriers. Seven types of attitudes emerged: the Car-Independent, the Car-Dependent, the Tree Advocates, the Public Space Enthusiasts, the Noise Sensitive, the Change Supporters, and the Status-Quo Satisfied. The types feature distinctive characteristics in terms of mobility behavior and preferences, openness towards a mobility transition, and public space-related needs and fears. Car dependency, car affinity, and the increase in recreational noise were identified as acceptance barriers. In contrast, introducing alternative mobility options, creating public spaces for interaction, and adding greenery were identified as acceptance drivers. Different types might have opposing perceptions of whether an intervention is “fair”. Targeted communication and participation processes proved to be relevant cross-type acceptance factors. Practitioners may benefit from such user-group specific insights to design more robust transformation strategies.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"30 ","pages":"Article 101370"},"PeriodicalIF":3.9,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143550861","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":"Data linkage between health and compensation systems improves the profiling of transport-related injuries","authors":"Clifford Afoakwah ,&nbsp;Jacelle Warren ,&nbsp;Angela Watson ,&nbsp;Kirsten Vallmuur","doi":"10.1016/j.trip.2025.101372","DOIUrl":"10.1016/j.trip.2025.101372","url":null,"abstract":"<div><div>Transport-related injury often requires contacts with both health and compensation systems and imposes a significant burden on these systems. This study sought to explore the benefits of linking data sources for profiling land transport-related injury events and examine the characteristics of transport-related injuries in Queensland, Australia. Retrospective population-based data were sourced from emergency department, hospital, and compensation data systems for the period January 2012 to December 2017. Descriptive statistics, including frequencies, percentages, and ratios, were used to describe the incidence of index transport-related injury events by demographic and mode of transport characteristics, while a chi-square test was used to test for variations in the proportion of events among groups over time. There were 164,248 transport-related injury events recorded during the study period, with an annual incidence rate of 577 per 100,000 population. 86.5 % of events existed in health system data, 26.2 % in compensation system data, while 12.7 % existed in both health and compensation system data. The incidence of transport-related injury events was highest among males (679 per 100,000 population), individuals aged 15–24 years old (1,021 per 100,000 population) and in remote areas (758 per 100,000 population). Most of the transport-related injuries who sought hospital-based treatment and/or compensation involved cars (46.6 %), with drivers (40.1 %) being the most frequently injured. Linked health and compensation system data can better reveal the burden of transport-related injuries within a population. However, the management and interpretation of linked data sources requires subject matter expertise and development of linkage logic to ensure the accuracy of this estimation.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"30 ","pages":"Article 101372"},"PeriodicalIF":3.9,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143550791","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":"Sensitivities of weighting methods in the sustainability assessment of public transport in Latin American cities","authors":"Alexandra Velasco ,&nbsp;Regine Gerike","doi":"10.1016/j.trip.2025.101362","DOIUrl":"10.1016/j.trip.2025.101362","url":null,"abstract":"<div><div>Several studies have been conducted on the sustainability performance of public transport (PT) systems, but few of these studies have focused on Latin American cities, which present a number of distinctive characteristics. These include the prevalence of harassment against women in PT vehicles, the use of outdated technology, and the lack of data availability. This study presents a sensitivity analysis for the Sustainable Public Transport Index for LATin AMerica (SPTI-LATAM) for 11 Latin American case study cities. Four weighting methods are applied at the levels of sustainability dimensions, categories and indicators, including the Equal Weighting Average (EWA), Analytic Hierarchical Processes (AHP), and Budget Allocation Points (BAP) approaches. Monte Carlo simulations are added to examine the robustness of the SPTI-LATAM city rankings for a large number of randomly drawn weights. Local stakeholder preferences in AHP and BAP, sensitivities in PT sustainability performance and ranking positions of the 11 cities are presented as the main results. The study’s findings reveal substantial differences between the stakeholder preferences and the EWA approach. The highest weights are assigned to the <em>System Effectiveness</em> and the <em>Social</em> dimensions. Ranking positions are stable for cities with the highest sustainability performance, whereas those with lower performance are show greater sensitivity, which is related to a less balanced scoring of single indicators. Recommendations are made for the further development of the SPTI-LATAM into a tool that measures the sustainability performance of PT systems in the Latin American context reliably across cities and over time, while also representing local stakeholders’ preferences.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"30 ","pages":"Article 101362"},"PeriodicalIF":3.9,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143508495","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}