{"title":"Resilience of the transit-oriented built environment against COVID-19 transmission: Evidence from major urban communities in Wuhan city","authors":"Yangguang Xiao , Hsi-Chuan Wang , Kojiro Sho","doi":"10.1016/j.trip.2025.101448","DOIUrl":"10.1016/j.trip.2025.101448","url":null,"abstract":"<div><div>Amid the global health crisis triggered by COVID-19, managing infection spread became an immense challenge for urban areas, particularly in compactly populated areas, highlighting severe deficiencies in resilience planning. This study investigates how features of the built environment within transit-oriented development-guided (TOD-guided) communities influenced COVID-19 transmission patterns in Wuhan. By constructing a novel analytical framework that integrates TOD principles with built environment factors, we examine how these factors influence pandemic spread across different urban and peripheral communities. Utilising a combination of spatial and aspatial statistical techniques, we assess how population density, bus stop density, park density and proximity to medical facilities and parks influence infection rates. The findings reveal that whereas high population density in urban core areas correlates with lower infection rates, medical accessibility and bus stop density are significant determinants of transmission in peripheral regions. Interestingly, proximity to parks is associated with higher infection rates in certain TOD-guided communities. Our spatial analysis underscores the necessity of flexible, location-specific urban-planning measures designed to reinforce cities’ capacity to withstand future health crises. It also provides actionable recommendations for policymakers focused on improving public health resilience in post-pandemic urban development.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"31 ","pages":"Article 101448"},"PeriodicalIF":3.9,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143924484","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Bowen Cai , Léah Camarcat , Nicolette Formosa , Mohammed Quddus
{"title":"A stacked ensemble model for traffic conflict prediction using emerging sensor data","authors":"Bowen Cai , Léah Camarcat , Nicolette Formosa , Mohammed Quddus","doi":"10.1016/j.trip.2025.101457","DOIUrl":"10.1016/j.trip.2025.101457","url":null,"abstract":"<div><div>Over recent decades, a plethora of Safety Surrogate Measures (SSMs) have emerged as valuable metrics for predicting traffic conflicts. However, existing research predominantly focuses on conflict prediction at junctions or relies on a single SSM, such as time-to-collision, for detecting vehicle-related conflicts. This limitation highlights the challenge of selecting appropriate SSMs for vehicle- or segment-based conflict prediction, considering the diverse range of factors influencing conflict outcomes. To address this gap, this study leverages data collected from various infrastructure and vehicle-based sensors, including drones, lidars, radars and cameras, across different scenarios in China and the UK: urban junctions, motorway segments and vehicle-based data from instrumented vehicles. Employing machine learning approaches to handle the extensive and disaggregated data, a novel stacked ensemble learning model is proposed. This model integrates a Random Forest (RF), three-layer Deep Neural Networks (DNN), Support Vector Machine Radial (SVM-R), and a Gradient Boosting Model (GBM) meta layer to enhance prediction accuracy. The Recursive Feature Elimination (RFE) algorithm is then employed to identify the most influential SSMs for conflict prediction in each scenario. Results demonstrate the superiority of the stacked ensemble learning model, achieving accuracies of 88 % for junctions, 87.5 % for motorway segments and 99 % for vehicle-based conflicts. Furthermore, the study highlights the necessity of employing different SSMs for conflict detection in various scenarios. These findings hold significant implications for roadway operators and vehicle manufacturers, aiding in the development of strategies to detect infrastructure and vehicle-related traffic conflicts.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"31 ","pages":"Article 101457"},"PeriodicalIF":3.9,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143947983","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Rizqi Ilma Nugroho , Till Gnann , Daniel Speth , Widodo Wahyu Purwanto , Jessica Hanafi , Sutanto Soehodho
{"title":"Designing optimal fast-charging infrastructure for various electric vehicle ranges in emerging-market city","authors":"Rizqi Ilma Nugroho , Till Gnann , Daniel Speth , Widodo Wahyu Purwanto , Jessica Hanafi , Sutanto Soehodho","doi":"10.1016/j.trip.2025.101470","DOIUrl":"10.1016/j.trip.2025.101470","url":null,"abstract":"<div><div>This study highlights the crucial role of Battery Electric Vehicles (BEVs) in decarbonizing transportation systems in emerging markets, focusing on the challenge posed by limited charging infrastructure, which hampers BEV adoption. It proposes a flow-based optimization model that incorporates multiple driving ranges, multi-period assessment, and capacitated charging stations that based on a queuing model to determine the optimal fast-charging infrastructure for a densely populated emerging-market city, specifically the Greater Jakarta Area. Given a widespread access to home charging, this study focuses on meeting the en-route charging demand of long-distance drivers. The proposed model shows that endogenously integrating variations in BEV ranges provides more detailed distributions of station locations, all while maintaining reasonable solution times. Findings indicate an optimal ratio of 218 BEVs per fast charger by 2050, consisting of 372 sites equipped with approximately 62,800 chargers. Over half of these sites require more than 100 chargers to be installed and are mainly positioned along highway corridors. Given the high population density and limited land availability in the area, this study also explores profitability and land utilization aspects, offering strategic guidance to plan the rollout of charging infrastructure in regions with similar characteristics.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"31 ","pages":"Article 101470"},"PeriodicalIF":3.9,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144070214","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Uncovering the risks for driver injury severities for truck-trailer and passenger car crashes at highway-railroad crossings","authors":"Mouyid Islam , Asim Alogaili","doi":"10.1016/j.trip.2025.101451","DOIUrl":"10.1016/j.trip.2025.101451","url":null,"abstract":"<div><div>Highway-railroad crossings are critical intersections where the trajectory of trucks hauling trailers intersects with railway tracks. The coexistence of these large trucks and trains at these junctions poses inherent safety, health, and environmental risks for passenger cars, truck-trailers, trains, and highway-rail crossing infrastructures. Five years of US crash data were utilized to model driver injury severity using a mixed logit model with heterogeneity in means and variances, exploring the risk factors for passenger cars and truck-trailers at a grade crossing. The estimated model for truck-trailer and passenger car crashes at railroad crossings included factors, such as spatial variables, weather conditions, ambient lighting, vehicle maneuvers over the crossing, driver age and gender, gate operation characteristics, the location of warning signs, the type of crossing warning (including gates), the stopping position of the truck-trailer on the crossing, and the release of hazardous materials by rail equipment. These factors were found to influence different levels of driver injury severity. The marginal effects of the estimated models showed that crashes involving truck-trailers, particularly those at crossings in Texas, were more likely to result in higher driver fatalities compared to crashes involving passenger cars. These crashes were also more likely to occur when crossing warnings and highway signals were not interconnected, or when warnings were located on both sides of the crossing. Improving roadway infrastructure, especially by integrating highway signals with rail-grade crossing warnings, is one of the critical factors in enhancing safety. Additionally, education through truck driver training modules, outreach efforts, and enforcement to prevent vehicles from crossing the gates are critical for enhancing safety at rail-grade crossings.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"31 ","pages":"Article 101451"},"PeriodicalIF":3.9,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143906980","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Anne Aguiléra, Eleonore Pigalle, Leslie Belton Chevallier
{"title":"Exploring perceived changes in the frequency of private trips and local trips after telework adoption in France","authors":"Anne Aguiléra, Eleonore Pigalle, Leslie Belton Chevallier","doi":"10.1016/j.trip.2025.101478","DOIUrl":"10.1016/j.trip.2025.101478","url":null,"abstract":"<div><div>This article analyses how teleworking arrangements and the characteristics of the teleworkers influence the perceived changes in the frequency of private trips and local trips (i.e. trips with a destination located close to the homeplace) after telework adoption. The data comes from an online survey in mainland France in spring 2022. The private trips considered here include firstly regular activities (errands, accompanying children, etc.), secondly weekend departures, and thirdly local trips. The results show that most teleworkers perceive no change before and after teleworking adoption. However, teleworking is more often associated with a reduction in errands trips than their increase. The extent of the decrease vary depending on the place of residence. On the other hand, the perceived frequency of other personal and family activities is mainly on the rise. Our results also show the influence of teleworking frequency and commuting duration on these trends. Finally, we find a positive relationship between teleworking and the frequency of local trips. In particular, the presence of amenities around the place of residence encourages an increase in local travel. These results show the diversity and complexity of the rebound effects of teleworking on private trips, and the need to support its current development with appropriate transport and land-use policies.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"31 ","pages":"Article 101478"},"PeriodicalIF":3.9,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144221773","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Vanessa Stange , Kerstin Kuhlmann , Tobias Schräder , Leon Johann Brettin , Markus Maurer
{"title":"Children’s perspectives on autonomous vehicles: A usability and user experience study in a high-fidelity prototype","authors":"Vanessa Stange , Kerstin Kuhlmann , Tobias Schräder , Leon Johann Brettin , Markus Maurer","doi":"10.1016/j.trip.2025.101447","DOIUrl":"10.1016/j.trip.2025.101447","url":null,"abstract":"<div><div>Driverless or autonomous vehicles (AVs) have the potential to improve the mobility of children and young people without a driver’s license, who are currently dependent on adult drivers in everyday life. An essential prerequisite for offering children and adolescents autonomous rides for unaccompanied transportation in everyday life is that they can operate such an AV without the support of others. We therefore conducted a usability study in which children (supported by their parents) tested the high-fidelity prototype of the family AV “autoELF”. Fifteen parents and seventeen of their 7- to 14-year-old children tested the AV prototype in the laboratory. During an imaginary ride, the children used the safety and entertainment features required to operate the AV during a normal ride. In a post-session interview, the children reported on their experiences as users. Children and parents were asked about their willingness to integrate AV into their family’s mobility. The main findings were that the children were able to transfer their knowledge from their current interaction with cars and technology to the new AV context. Most children were able to use most of the AV’s features without help from their parents and on the first try, when the children were already familiar with the task. Icons and written keywords supported children’s understanding of the vehicle features and their functionality. The study provides practical recommendations for the design of child-friendly user interfaces in AVs.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"31 ","pages":"Article 101447"},"PeriodicalIF":3.9,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143895643","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Enhancing emergency response efficiency through advanced urban logistics: The role of driver psychophysiology and vehicle dynamics in mitigating socio-economic impacts","authors":"Yurii Davidich , Dávid Földes , Andrii Galkin","doi":"10.1016/j.trip.2025.101464","DOIUrl":"10.1016/j.trip.2025.101464","url":null,"abstract":"<div><div>Urban emergencies, such as natural disasters and public safety incidents, demand rapid and effective response strategies to mitigate their significant socio-economic impacts. This paper explores the complex interplay between urban logistics and the operational efficiency of emergency services, focusing on the critical roles of driver psychophysiology and vehicle dynamics. We conducted a comprehensive study analysing the movement patterns of emergency response vehicles in urban settings, taking into account factors such as vehicle speed variations, route parameters, and the psychophysiological states of drivers. Utilising regression models and physiological assessments, we developed predictive models that link these factors to emergency response times. The findings indicate that the speed and efficiency of emergency responses are significantly influenced by the drivers’ conditions, highlighting the importance of psychophysiological readiness in emergency operations. By integrating quantitative and qualitative methodologies, this research not only enhances our understanding of these dynamics but also provides actionable strategies to improve the efficacy of emergency services. The outcomes of this study have practical implications for policy formulation and the operational structuring of emergency units, emphasising the need for strategic planning that incorporates driver welfare and advanced logistics management. This work lays a foundation for future research aimed at integrating real-time data analytics and sophisticated routing algorithms to further refine emergency response mechanisms in urban environments.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"31 ","pages":"Article 101464"},"PeriodicalIF":3.9,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144070759","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Markus Tomzig , Johanna Wörle , Christina Kremer , Martin Baumann , Alexandra Neukum
{"title":"Is the NASA nap the solution for sleep inertia in automated driving? Unveiling effects of deep sleep on driving behavior, vigilance and subjective experience","authors":"Markus Tomzig , Johanna Wörle , Christina Kremer , Martin Baumann , Alexandra Neukum","doi":"10.1016/j.trip.2025.101472","DOIUrl":"10.1016/j.trip.2025.101472","url":null,"abstract":"<div><div>Sleeping during automated driving is likely to become a common future practice. When drivers must resume control due to system boundaries, sleep inertia—post-sleep grogginess and impaired performance—affects their takeover and driving behavior. Research outside of driving indicates that deep sleep (AASM stage N3) can intensify sleep inertia. Operational strategies, like the NASA nap (capping nap duration to 40 min), aim to avoid deep sleep, though effects in driving contexts remain unclear. This study investigated how deep sleep impacts driving behavior, vigilance, and drivers’ subjective states.</div><div>In a driving simulator study, 20 participants completed two test sessions at different times of the day. Participants slept during an automated drive and drove manually both before and after sleep. Regression analyses assessed changes in driving behavior, vigilance, and subjective states in response to varying amounts of deep sleep.</div><div>With more deep sleep, takeover times and reaction times to auditory cues increased, and driving speed decreased. Lane keeping and stimuli detection rates were not significantly affected. Participants reported less motivation, delays in perception, discomfort, and struggles to stay awake after increased deep sleep.</div><div>Findings show that speed-related performance aspects were more affected by deep sleep than accuracy, suggesting drivers compensated for reduced cognitive abilities under sleep inertia. The results support the use of proactive strategies to avoid deep sleep. However, since deep sleep onset occurred rapidly, restricting nap duration might be insufficient to prevent sleep inertia.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"31 ","pages":"Article 101472"},"PeriodicalIF":3.9,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144123558","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Information decomposition of airport dynamics: A study of Europe and US","authors":"Kishor Acharya, Massimiliano Zanin","doi":"10.1016/j.trip.2025.101466","DOIUrl":"10.1016/j.trip.2025.101466","url":null,"abstract":"<div><div>Within the endeavour of understanding and tackling problems like delays and their propagation, or the optimisation of operations, air transport has customarily been studied through microscale dynamical models, describing the movements of its constituting elements according to sets of pre-hoc hypotheses and rules. The relevance of such models is nevertheless bounded by the realism and completeness of such rules. We here propose a complementary information-theoretic approach that does not rely on any pre-assumed model, but instead treats airports as information processing units. This allows to investigate the dynamics of airports in terms of information processing, whereby the relationship between the different aspects of their operations is expressed in terms of information contained, shared and transferred. Leveraging techniques from information decomposition, we describe such relationships in a large data set covering operations in Europe and US, focusing on departures and arrivals at the largest airports therein. Contrary to standard expectations, we find that departure dynamics is not a direct function of arrival one; departure delay shows a prominent dependency on the saturation of airports; and that there is a complex relationship between the way airports process information and their size, across both US and EU, with some notable exceptions. We further discuss the challenges appearing when this approach is used to assess the temporal evolution of the system, the information synergies and redundancies between different aspects of operations, and its integration with other standard models towards the evaluation of new policies and procedures.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"31 ","pages":"Article 101466"},"PeriodicalIF":3.9,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144184421","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"That resonated with me: A user-centred approach to understanding young adult vulnerable road users’ road safety campaigns messaging needs—Case study","authors":"Shivani Tyagi , Nicki Wragg , Fanny Suhendra","doi":"10.1016/j.trip.2025.101430","DOIUrl":"10.1016/j.trip.2025.101430","url":null,"abstract":"<div><div>Road safety campaigns aim to facilitate behaviour change and are a key strategy for targeting young adult vulnerable road users (YA-VRUs). Employing a user-centred design approach, we conducted workshops with 30 YA-VRUs in the Australian Capital Territory and the Australian state of Victoria to understand YA-VRUs’ needs when encountering road safety campaigns that promote personal control and responsibility. Our findings show that effective campaigns go beyond YA-VRUs’ demographic profiling to consider their intersectional identities, particularly multiple road user roles (e.g., driver, cyclist, and/or pedestrian). We offer new insights on the importance of realistic imagery and subjects, tailored messaging for different road user types, and localised road safety issues. In addition, we propose a new message appeal type, “instructive” messaging, which provides specific information that is purposeful and actionable during road use and resonates with YA-VRUs’ needs.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"31 ","pages":"Article 101430"},"PeriodicalIF":3.9,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143902445","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}