Transportation Research Interdisciplinary Perspectives最新文献

{"title":"How pedestrians actually jaywalk: fine-grained adaptive strategies revealed by roadside LiDAR","authors":"Jiaying Xue,&nbsp;Zihan Liu,&nbsp;Yu Feng,&nbsp;Chenhao Huang,&nbsp;Liqiu Meng","doi":"10.1016/j.trip.2026.102234","DOIUrl":"10.1016/j.trip.2026.102234","url":null,"abstract":"<div><div>Jaywalking is widely studied as a compliance problem, yet what actually happens during the jaywalking process remains understudied. This study deploys roadside LiDAR at two urban intersections in Munich, Germany to decompose jaywalking into discrete kinematic states, examining temporal patterns of red-light violation, spatial adaptation under restricted sightlines, and behavioral responses to hazardous encounters. Red-light violations clustered at two ends of the red phase with systematically different walking speeds, suggesting structured temporal adaptation to signal-cycle dynamics rather than random noncompliance. Notably, at the unsignalized intersection where parked vehicles obstruct sightlines, pedestrians stood nearly 2.4 times farther from the curb (median 1.86 m versus 0.78 m, p &lt; 0.001), and the proportion of crossings involving stopping and spatial repositioning was substantially higher than at the signalized site. Both patterns are consistent with information-seeking behavior under conditions of limited traffic information. Concurrently, the hourly rate of hazardous encounters was approximately four times higher at the unsignalized site, and the odds of stopping were 4.7 times as high in car encounters as in cyclist encounters, indicating that behavioral responses during jaywalking vary with threat type. The findings characterize jaywalking as a structured, context-dependent process and demonstrate how high-resolution naturalistic trajectories can support intersection design, pedestrian safety assessment, and autonomous vehicle development.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"39 ","pages":"Article 102234"},"PeriodicalIF":4.8,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148958485","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":"Coupling dynamics between urban freight and economic development in China: A scaling law and Grey–Markov model","authors":"Yalin Zhang,&nbsp;Wenjing Ye,&nbsp;Wenjie Li,&nbsp;Yu Wan,&nbsp;Jie Yang,&nbsp;Wen Cheng,&nbsp;Hongbo Du","doi":"10.1016/j.trip.2026.102229","DOIUrl":"10.1016/j.trip.2026.102229","url":null,"abstract":"<div><div>Amid rapid urbanization and industrial restructuring, understanding the relationship between freight transportation and economic growth is essential for sustainable urban development. Using multispatial convergent cross mapping and scaling law, this study analyzes data from 288 prefecture-level cities in China (2000–2023) to examine causality, nonlinear coupling, and spatiotemporal evolution. By linking scaling exponents with elasticity coefficients, a Modified Grey–Markov model is developed for forecasting the elastic relationship between urban freight transportation and economic development. Results reveal significant bidirectional causality and a predominantly sublinear scaling relationship with declining coupling strength, alongside a spatial diffusion pattern from eastern to central and western regions. And elasticity coefficients generally exceed 1 and, overall, exhibit an increasing trend, although a few indicators display declining tendencies, suggesting that freight demand may show relatively high responsiveness to changes in economic development in the short term. These findings provide quantitative evidence for optimizing transport systems and supporting sustainable regional development.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"39 ","pages":"Article 102229"},"PeriodicalIF":4.8,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148949578","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":"Two-dimensional time-to-collision measures for articulated vehicles: Predicting sideswipe and rear-end collisions","authors":"Abhijeet Behera,&nbsp;Sogol Kharrazi,&nbsp;Erik Frisk,&nbsp;Maytheewat Aramrattana","doi":"10.1016/j.trip.2026.102236","DOIUrl":"10.1016/j.trip.2026.102236","url":null,"abstract":"<div><div>Time-to-collision is a commonly employed measure for rear-end collision prediction. However, its conventional formulation, which assumes constant speed and heading, is incapable of identifying sideswipe collisions. A two-dimensional extension has been proposed to incorporate lateral interactions with passenger cars, yet it assumes identical, fixed headings and does not accommodate articulated vehicles such as tractor-semitrailers. In this paper, the existing formulation for the car is first refined to incorporate differences in vehicle heading. Subsequently, new two-dimensional time-to-collision measures are proposed for articulated vehicles: <span><math><msubsup><mrow><mtext>TTC</mtext></mrow><mrow><mtext>2D</mtext></mrow><mrow><mtext>AV</mtext></mrow></msubsup></math></span> and modified <span><math><msubsup><mrow><mtext>TTC</mtext></mrow><mrow><mtext>2D</mtext></mrow><mrow><mtext>AV</mtext></mrow></msubsup></math></span>. These measures employ constant-speed and constant-acceleration assumptions and are analogous to their one-dimensional counterparts: time-to-collision and modified time-to-collision. The proposed measures are assessed in CARLA using randomly generated cut-in scenarios simulated with a tractor-semitrailer model, incorporating a range of trailer lengths. A short analysis is also conducted to test the measures in a roundabout and tight turn. The analyses demonstrate that the proposed measures substantially improve the detection of sideswipe collisions while maintaining a comparable level of performance to existing measures in detecting rear-end collisions. Across 30 simulated scenarios, they correctly identify 14 of 15 sideswipe collisions, compared with 7 of 15 identified by the existing formulation. Moreover, the mean prediction error for sideswipe collisions is reduced by approximately 20% compared to the existing formulation.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"39 ","pages":"Article 102236"},"PeriodicalIF":4.8,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148949651","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":"Active navigation with reinforcement learning for bus stop amenity auditing in street view imagery","authors":"Bryce Jones,&nbsp;Seung Jae Lieu,&nbsp;Guhathakurta,&nbsp;Subhrajit","doi":"10.1016/j.trip.2026.102240","DOIUrl":"10.1016/j.trip.2026.102240","url":null,"abstract":"<div><div>U.S. transit agencies often lack accurate, up-to-date inventories of bus stop amenities (signs, shelters, and seating), which are critical for rider accessibility and service quality. Computer vision applied to street view imagery offers a scalable alternative to labor-intensive field surveys, but existing methods depend on static image retrieval using General Transit Feed Specification (GTFS) coordinates. Because these bus stop location coordinates are frequently imprecise and amenities are often occluded by vehicles or street furniture, single-viewpoint static retrieval produces unreliable results that existing heuristic-based approaches, such as fixed rotational searches, have failed to adequately resolve. This study develops a reinforcement learning (RL) framework in which a Proximal Policy Optimization (PPO) agent, equipped with a transformer-based feature extractor, actively navigates street view imagery to locate bus stops, acquire multiple viewpoints, and identify amenities. An object detection model provides the reward signal and visual features that guide exploration, while an external spatial memory module records the agent’s path and estimates stop positions. Deployed across 1,919 bus stops in the Atlanta metropolitan area, the agent located stop evidence for 99 % of stops, substantially outperforming both static image retrieval (41.1 %) and a staged heuristic search benchmark (82.2 %) evaluated on the identical stops. The agent acquired multiple viewpoints of identified stops and triangulated their positions, confirming its capacity to track and assess amenities. This framework offers transit agencies a scalable pathway to acquire system-wide bus stop amenity inventories. More broadly, this work establishes RL-based active navigation as a new approach for urban infrastructure auditing via street view imagery, addressing the limitations of static image retrieval.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"39 ","pages":"Article 102240"},"PeriodicalIF":4.8,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148949659","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":"Sustainable mobility in island tourist destinations: tourists’ willingness to pay to rent electric vehicles in Tenerife","authors":"M. Carmen Hernández-García,&nbsp;M. Gracia Rodríguez-Brito,&nbsp;Margarita E. Romero-Rodríguez,&nbsp;M. Carolina Rodríguez-Donate","doi":"10.1016/j.trip.2026.102230","DOIUrl":"10.1016/j.trip.2026.102230","url":null,"abstract":"<div><div>In the current context, in which climate change is a major challenge, the tourism sector can play an important role in mitigating its effects with actions that involve transitioning towards more sustainable mobility. Renting an electric vehicle is an option that is particularly valuable in island territories. Especially on those islands that have fragile ecosystems and high dependence on fossil fuels, which is the case of the Canary Islands. This research aims to identify, using discrete choice models, the factors that influence tourists’ willingness to pay to rent an electric vehicle when visiting the island of Tenerife. This is a relevant issue given the scarcity of data and studies that analyse this issue, especially in island territories. Consequently, a questionnaire was designed to gather data on tourists’ socio-demographic characteristics, travel preferences and other issues relating to vehicle rental. Among the main results, it is worth noting that the tourists most likely to be willing to pay to rent an electric vehicle are young people under 30 years of age with medium-high incomes, who consider that vehicles’ consumption and emissions are important, among other characteristics. Knowledge of these tourists’ profile provides valuable information for policymakers and car rental companies that could be used to better segment the market and develop specific strategies to promote more sustainable mobility on Tenerife.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"39 ","pages":"Article 102230"},"PeriodicalIF":4.8,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148958484","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":"Electric vehicle demand projection in an emerging country using agent-based modeling and nonlinear methods","authors":"Diego Cordero,&nbsp;Javier González","doi":"10.1016/j.trip.2026.102243","DOIUrl":"10.1016/j.trip.2026.102243","url":null,"abstract":"<div><div>Electric vehicles (EVs) are increasingly being adopted around the world, positioning them as key components in the decarbonization of the automotive sector. However, forecasting EV demand remains a significant global challenge due to the complexity of consumer behavior and market dynamics. This study presents a hybrid approach that combines agent-based modeling (ABM) with nonlinear diffusion models, specifically the Bass diffusion model, to project the adoption of EVs. The agent-based model simulates the individual decision-making processes of consumers, incorporating heterogeneity in preferences and constraints, while the Bass model captures the cumulative adoption trend over time based on innovation and imitation effects. We apply this framework to analyze EV adoption rates in several Ecuadorian cities, using historical data on EV sales over multiple years. The simulation incorporates key factors that influence consumer decisions, including vehicle autonomy, battery capacity, maintenance costs, charging time, acquisition cost, and the number of EVs already in circulation. For this purpose, a parametric software tool was developed and implemented, capable of simulating and analyzing various EV adoption scenarios, considering multiple variables and environmental conditions. The results reveal that barriers to EV adoption are strongly tied to both individual vehicle characteristics and broader systemic constraints. These findings highlight the need for more effective policies and strategies that consider consumer behavior, economic factors, and infrastructure limitations. By addressing these barriers, countries like Ecuador can accelerate the transition to a more sustainable transportation system and contribute to significant reductions in carbon emissions within the automotive sector.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"39 ","pages":"Article 102243"},"PeriodicalIF":4.8,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148949657","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":"An integrated decision-support framework for spatial siting of midblock flyovers based on traffic operations, road safety and transport economic appraisal","authors":"Sakaradhorn Boontaveeyuwat","doi":"10.1016/j.trip.2026.102222","DOIUrl":"10.1016/j.trip.2026.102222","url":null,"abstract":"<div><div>High crash rates and recurrent congestion are common on highway corridors where industrial access, U-turn movements, and high-speed through traffic interact within constrained roadway environments. Although midblock flyovers can improve corridor performance, their spatial siting has received considerably less attention than the broader decision to provide grade separation. This study develops an integrated decision-support framework for evaluating alternative flyover locations through traffic operations, historical crash evidence, operational and environmental costs, traffic interactions, and economic appraisal. The framework was applied to a freight-intensive industrial corridor in southern Thailand, where an at-grade baseline and four alternative flyover locations were evaluated under three traffic-demand conditions. Lane-based operational modelling was integrated with an exposure-based crash assessment, monetized safety benefits, and localized traffic-interaction analysis. All grade-separated alternatives substantially improved corridor performance, reducing average delay to below 6 s/veh while decreasing queues, fuel consumption, emissions, and operational and environmental costs. Benefit–cost ratios of approximately 1.56–1.57 demonstrated the economic justification for grade separation. Spatial siting nevertheless influenced localized operations and residual traffic interactions. Locations farther from the industrial access exhibited lower localized delay and shorter queues while reducing the concentration of crossing interactions near the industrial access. Among the otherwise comparable alternatives, farther-upstream siting may also provide greater functional flexibility for vehicles requiring post-flyover access to the industrial facility. These findings distinguish investment justification from spatial evaluation: aggregate operational and economic measures establish whether grade separation is warranted, whereas localized traffic interactions and industrial-access functionality provide the basis for determining where it should be located.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"39 ","pages":"Article 102222"},"PeriodicalIF":4.8,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148949577","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":"Critical factors in overcoming the barriers to building stakeholder partnerships in an urban consolidation centre: A comparative case study of Sweden and China","authors":"Shucheng Luo,&nbsp;Yongling Li,&nbsp;Xuan Sun","doi":"10.1016/j.trip.2026.102217","DOIUrl":"10.1016/j.trip.2026.102217","url":null,"abstract":"<div><div>An urban consolidation centre (UCC) is a pivotal facility designed to improve the efficiency of urban distribution and mitigate the negative impact generated by urban logistics. However, many UCCs often fail to be self-sustaining because it is challenging to build sound partnerships amongst stakeholders with heterogeneous attributes and differing objectives. Existing literature identifies three types of barriers, namely: (1) financial and practical barriers, (2) social and cultural barriers, and (3) legal barriers, which would result in the stakeholders terminating their partnerships in the UCC project. In response, this study aims to identify critical factors in overcoming the above barriers, which will help contribute to the formation of successful partnerships in UCCs. We implement a comparative case study based on three UCCs, with three different partnerships, initiated in Sweden and China. We analyse the difficulties encountered by different stakeholders and the practical actions they took to deal with these difficulties. Based on the findings, this study identifies the barriers to stakeholder partnerships and concludes with several critical factors that can be applied to overcome the barriers.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"39 ","pages":"Article 102217"},"PeriodicalIF":4.8,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148949658","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":"Passenger presence and driver-passenger interaction effects on distraction and road safety: an interaction-driven narrative review","authors":"Toi Ete,&nbsp;Neero Gumsar Sorum,&nbsp;Aniket Kumar","doi":"10.1016/j.trip.2026.102201","DOIUrl":"10.1016/j.trip.2026.102201","url":null,"abstract":"<div><div>Driver distraction is a significant factor in global road traffic injuries and crashes. Technological distractions have been well studied, but social distractions caused by passenger interaction have not been sufficiently studied despite their impact on driving behaviors and safety. This narrative review synthesizes evidence on the impact of passenger presence and driver-passenger interactions on distraction, driving performance, crash risk, and injury severity, with a particular focus on driver and passenger demographics. Following PRISMA 2009 guidelines, 58 peer-reviewed studies published between 2002 and 2025 were identified from major academic databases and narratively synthesized due to substantial heterogeneity in study designs and outcome measures. Passenger effects depend heavily on context. Young drivers show both high crash risk and risky behavior when accompanied by peer passengers because of social facilitation and active interaction, whereas mature adult passengers are generally protective. Adult and older adult drivers gain supervisory support from the passenger presence, but the risk increase with multiple or child passengers under high caregiving demands. Active driver-passenger interaction, rather than passenger presence alone, emerged as the predominant mechanism associated with distraction and elevated crash risk, although its effects varied across driver-passenger configurations and interaction contexts. The review highlights key methodological limitations such as inconsistent classification of passengers, lack of interaction effect modeling, underrepresentation of social distraction in crash databases, and limited evidence from low- and middle-income contexts. From a policy perspective, current passenger restriction measures, such as graduated driver licensing, remain overly simplistic, highlighting the need for more interaction-aware and context-sensitive approaches.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"39 ","pages":"Article 102201"},"PeriodicalIF":4.8,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148853987","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":"Turns and downturns in aging drivers","authors":"Marie Hardt,&nbsp;Guillermo Basulto-Elias,&nbsp;Heike Hofmann,&nbsp;Shauna Hallmark,&nbsp;Anuj Sharma,&nbsp;Jeffrey D. Dawson,&nbsp;Matthew Rizzo,&nbsp;Jun Ha Chang","doi":"10.1016/j.trip.2026.102214","DOIUrl":"10.1016/j.trip.2026.102214","url":null,"abstract":"<div><div>As cognitive decline progresses, older adults may self-regulate their driving. Avoidance of left turns across traffic is observable in naturalistic driving data but rarely self-reported. We studied 106 older adults using baseline and one-year follow-up neuropsychological assessments. In-vehicle sensors passively recorded driving behavior over 12 weeks. We identified 216,531 turns from vehicle heading changes. We used mixed-effects logistic regression to model the odds of turning left, with cognitive status category change from baseline to one-year follow-up as the predictor. Greater cognitive impairment, represented by movement to a more severe cognitive status category at one-year follow-up, was associated with reduced odds of turning left (odds ratio = 0.98, 95 % confidence interval = (0.964, 0.996); P value = 0.011). Left-turn avoidance may be a behavioral marker of early cognitive decline. Passive driving data could help detect functional changes earlier, enabling intervention to preserve mobility and independence.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"39 ","pages":"Article 102214"},"PeriodicalIF":4.8,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148853990","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}