Ana Yoon Faria de Lima , Frauke Behrendt , Fabio Kon
{"title":"Cycling towards equity: Financial incentives as a strategy for mobility justice","authors":"Ana Yoon Faria de Lima , Frauke Behrendt , Fabio Kon","doi":"10.1016/j.trip.2025.101794","DOIUrl":"10.1016/j.trip.2025.101794","url":null,"abstract":"<div><div>Cycling is recognized as a key strategy for the transition to sustainable urban mobility and for improving public health, yet it remains a marginal mode of transport in many cities. In an effort to promote cycling, some places offer financial incentives to encourage people to use bicycles as a mode of transportation. However, these policies raise social justice concerns regarding who benefits from such policies and who does not.</div><div>This paper explores the operationalization of a policy designed to promote cycling through financial incentives, specifically by compensating individuals for cycled kilometers with public transport credits. The study incorporates a social justice-oriented design and emphasizes the importance of diversifying cycling demographics, integrating cycling with public transport, and leveraging data to support fair urban mobility. Grounded in transport, mobility, and data justice literature, we introduce policy design guidelines for social-justice-informed ‘pay for cycling’ financial incentives, bridging social science and data science. These guidelines are illustrated through a pilot project for São Paulo’s “Bike SP” program, which includes app development, participant selection, and data collection. The pilot project reveals demographic and socioeconomic inequalities in cycling within São Paulo. It also provides a model for similar policies in other cities. The findings highlight the need for inclusive participant selection criteria and the potential of financial incentive policies to generate valuable cycling data, foster a cycling community, and integrate with broader mobility and public health policies. We argue that such policies should be part of a comprehensive strategy for creating an inclusive mobility environment.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"36 ","pages":"Article 101794"},"PeriodicalIF":3.8,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145980323","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}
Alice Elizabeth Atkin , Daniel Scott , Anthony Singhal
{"title":"Drawing errors but not drawing strategies: Discriminating safe from unsafe driving in commercial drivers and cognitively at-risk seniors","authors":"Alice Elizabeth Atkin , Daniel Scott , Anthony Singhal","doi":"10.1016/j.trip.2026.101844","DOIUrl":"10.1016/j.trip.2026.101844","url":null,"abstract":"<div><div>The Vitals cognitive assessment tool is a battery of tablet-based cognitive and sensorimotor tasks which are used to predict safe or unsafe driving. One of the Vitals tasks is a visuospatial working memory task, which requires people to replicate a simple shape following a short delay. Previous evidence suggests that poor performance on this task is associated with cognitive impairment and risky driving, but this poor performance could have several possible explanations, including a working memory deficit, abnormal drawing strategies, or problems with motor execution. In this study, we recruited medically at-risk older drivers and healthy commercial drivers to perform the Vitals, as well as an on-road driving evaluation. Drivers who failed the on-road evaluation drew fewer correct shapes compared to drivers who passed, but did not show any differences in drawing strategy. At-risk older drivers who failed showed an increase in motor errors while producing the drawings, while commercial drivers who failed were slower to complete the task. This pattern of results excludes suboptimal drawing strategies as an explanation for poor performance, and also exclude motor errors while producing the drawings as an explanation for increased completion time. The best explanation for poor performance on the Vitals’ visuospatial working memory task is therefore a working memory deficit.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"36 ","pages":"Article 101844"},"PeriodicalIF":3.8,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145980315","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":"Determinants of injury severity in traffic accidents. Evidence from a developing country","authors":"Josselin Murillo, Juan Pablo Díaz-Sánchez","doi":"10.1016/j.trip.2026.101843","DOIUrl":"10.1016/j.trip.2026.101843","url":null,"abstract":"<div><div>This research article analyzes the impact of various factors, such as driver characteristics, environmental factors, vehicle characteristics, and accident attributes, on the severity of physical injuries in traffic accidents occurring in Ecuador, a country where young people aged 18–29, who are of working age, have traffic accidents as the second leading cause of death. This study utilizes data from the National Traffic Accident Reports of the National Transit Agency (ANT) for the period 2021–2022. By employing a generalized ordered logit model, which more accurately captures ordinal response data, the results indicate that variables such as gender, age, day of the week, and vehicle type significantly affect the severity of injuries sustained by drivers involved in traffic accidents. From a public policy perspective, our findings provide insights into which aspects and characteristics should be targeted to reduce the severity of traffic accidents.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"36 ","pages":"Article 101843"},"PeriodicalIF":3.8,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145928663","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}
Leon Klos , Claudia Lazarides , Rebecca Pedrick-Case , Richard Fry , Hagen Wäsche , Claudia Niessner , Alexander Woll
{"title":"Groundwork for adolescent bikeability assessment in Germany: An open GIS and regularised regression approach across cities, towns and rural areas","authors":"Leon Klos , Claudia Lazarides , Rebecca Pedrick-Case , Richard Fry , Hagen Wäsche , Claudia Niessner , Alexander Woll","doi":"10.1016/j.trip.2026.101875","DOIUrl":"10.1016/j.trip.2026.101875","url":null,"abstract":"<div><div>Adolescents need safe infrastructure, accessible places and comfort to cycle for transport. However, the bikeability literature focuses almost exclusively on adult cycling in large cities. The aims of the study are to operationalise bikeability characteristics adapted to adolescents in the German context using open GIS data and assess the relation between bikeability characteristics within different cycling distances and cycling to school in adolescents living in cities, towns and rural areas.</div><div>Cycling infrastructure and access to different destinations relevant to adolescents were operationalised using open GIS data. German-wide cycling-to-school data of 1,133 adolescents aged 11–17 years (50.0 % girls) from the Motorik-Modul Study were linked to the bikeability measures. A logistic ridge regression identified relevant bikeability characteristics in cities, towns and rural areas within five different cycling radii between 4–20 min.</div><div>Adolescents living in cities had higher odds of cycling if there were more residential streets with a slow speed limit within a 16-minute cycling radius from home and better access to outdoor sports facilities, shops and food outlets within 4–16 min of cycling. In towns, cycling was positively associated with both slow residential streets and separated cycling infrastructure, as well as access to schools, shops and food outlets, outdoor sports facilities, and a larger residential population within similar travel ranges.</div><div>Cycling may be facilitated by different infrastructure and accessibility characteristics in cities and towns. Future bikeability research should target vulnerable groups and people living in less densely populated areas. This work lays the groundwork for an adolescent bikeability index for Germany.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"36 ","pages":"Article 101875"},"PeriodicalIF":3.8,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146078572","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}
Gina Cynthia Raphita Hasibuan , Muhammad Ridwan Anas , Nurul Ika Putri Dalimunthe , Muhammad Thoriq Al Fath , Rezky Ariessa Dewi , Gea Geby Aurora Syafridon , Indra Jaya , Syahrizal
{"title":"A Global Perspective on Road Condition Assessment and Maintenance: Trends in Research and Technology Integration","authors":"Gina Cynthia Raphita Hasibuan , Muhammad Ridwan Anas , Nurul Ika Putri Dalimunthe , Muhammad Thoriq Al Fath , Rezky Ariessa Dewi , Gea Geby Aurora Syafridon , Indra Jaya , Syahrizal","doi":"10.1016/j.trip.2026.101853","DOIUrl":"10.1016/j.trip.2026.101853","url":null,"abstract":"<div><div>This study conducts an extensive bibliometric review to evaluate the global evolution of pavement condition assessment and maintenance research over the last three decades. Using a dataset of 634 Scopus-indexed publications, the study applies co-authorship, citation analysis, keyword co-occurrence, bibliographic coupling, and text-based mapping to explore scholarly productivity, thematic clusters, and technological routes. Findings highlight a growing concentration around core evaluation indices such as PCI and IRI, with newer studies embracing machine learning, remote sensing, and decision-support systems. Research leadership remains concentrated in countries with advanced road infrastructure, particularly the United States, China, and Canada although contributions from emerging economies are steadily growing. Despite technological progress, a gap still exists between academic innovation and practical application. Only a small portion of the literature has influenced real-world practice, mainly because of limited resources, fragmented data, and a lack of interdisciplinary collaboration. Case studies from the Washington State Department of Transportation (DOT) and Maine DOT illustrate effective implementation of data driven and AI-enabled pavement systems. This underscores the potential of AI to automate condition assessments, enhance predictive modeling, and optimize rehabilitation strategies. However, the study also reveals key limitations, including limited model generalizability, challenges in reproducibility, and varying levels of stakeholder readiness. Future research should focus on developing open-access datasets, collaborative validation frameworks, and practical toolkits that can be readily adopted by road agencies. Moreover, integrating AI into research workflows offers valuable opportunities to connect theory with practice, creating smoother pathways from academic innovation to real-world implementation and ensuring that research delivers tangible, lasting impact.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"36 ","pages":"Article 101853"},"PeriodicalIF":3.8,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146078569","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}
Farzane Omrani, Rouzbeh Shad, Marjan Ghaemi, Safa Hadi Abdulzahra, Seyed Ali Ziaee
{"title":"Predicting pedestrian crash risk around bus stops: A multi-city random forest approach","authors":"Farzane Omrani, Rouzbeh Shad, Marjan Ghaemi, Safa Hadi Abdulzahra, Seyed Ali Ziaee","doi":"10.1016/j.trip.2026.101854","DOIUrl":"10.1016/j.trip.2026.101854","url":null,"abstract":"<div><div>Pedestrians account for more than one-fifth of global road fatalities each year, with bus stops in metropolitan areas being high-risk locations due to crowding and frequent crossings. Developing effective interventions to enhance pedestrian safety requires a deep understanding of the built environment factors that contribute to pedestrian crashes across different urban settings. Since pedestrian injuries and fatalities are primarily preventable, applying diverse datasets from various countries is essential to identify and compare the key built environment features influencing pedestrian crashes around bus stops. This study evaluates and predicts the key built environment factors affecting pedestrian crashes within buffer distances of 50, 150, and 250 m around bus stops, using datasets from New York (United States), Toronto (Canada), and Greater Melbourne (Australia) between 2012 and 2016. Three modeling approaches, Random Forest (RF), Multi-Layer Perceptron (MLP), and Ordinal Logistic Regression (OLR), were applied with systematic hyperparameter tuning, and the Synthetic Minority Over-sampling Technique (SMOTE) was applied to address class imbalance. Model performance was compared across cities, buffer sizes, and training–validation–testing splits, and external cross-city validation was conducted to evaluate transferability. Results show that RF consistently outperforms MLP and OLR by capturing nonlinear interactions between built environment features more effectively, with the best-performing RF models for New York and Toronto using a 250-meter buffer, demonstrating that larger buffer distances better capture the influence of the built environment on crash occurrences. Furthermore, Common Important Features (CIF) and Common Important Subfeatures (CIS) are extracted to rank and compare the most influential factors affecting pedestrian crashes in each case study. This information may be used to persuade political leaders to develop, implement, and support pedestrian safety measures around bus stops.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"36 ","pages":"Article 101854"},"PeriodicalIF":3.8,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146078656","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":"Synergistic association between multimodal transport and demand-responsive transportation on daily walking steps: Quasi-experimental study in Senboku New-Town","authors":"Haruka Kato","doi":"10.1016/j.trip.2026.101862","DOIUrl":"10.1016/j.trip.2026.101862","url":null,"abstract":"<div><div>Demand-responsive transport (DRT) is expected to be a transport mode that solves first- and last-mile mobility problems. This study aimed to investigate the potential association of multimodal transport (buses or railways) with DRT on daily walking steps. Additionally, the reasons were examined in terms of changes in the frequency of multimodal trips and the reasons for choosing multiple modes. Senboku-NT was analyzed as an example of a DRT operation area. This study employed a quasi-experimental approach integrating the propensity score matching and difference-in-differences analysis. As a result, this study revealed that DRT is associated with daily walking steps through multimodal transport, including buses. Specifically, the average increase in daily walking steps was 1,730.74 [95% CI: 130.52, 3,330.96] steps/day. The increase was shown to be significantly greater than that of DRT alone. In addition, the frequency of bus use increased significantly from before to during the DRT operation period. Moreover, few participants reported using multimodal transport combined with DRT for the purpose of improving their health. These results suggest that multimodal transport, combining buses and DRT, may be highly effective in promoting physical activity based on the population approach, by inducing more frequent public transport journeys regardless of users’ health intentions. In contrast, the multimodal transportation of railway and DRT did not significantly increase the number of daily walking steps and use frequency. Therefore, this study suggests that the potential synergistic associations of multimodal transport, including buses and DRTs, may be significantly greater for first- and last-mile mobility.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"36 ","pages":"Article 101862"},"PeriodicalIF":3.8,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146023528","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}
Matteo Corazza , Federico Karagulian , Marta Antonelli , Maria Pia Valentini
{"title":"Characterization of the HVAC consumption of electric buses on different climate scenarios","authors":"Matteo Corazza , Federico Karagulian , Marta Antonelli , Maria Pia Valentini","doi":"10.1016/j.trip.2026.101863","DOIUrl":"10.1016/j.trip.2026.101863","url":null,"abstract":"<div><div>Heating, Ventilation and Air Conditioning (HVAC) are an important part of vehicle’s consumption and represent a limiting factor to electric vehicles range. In recent years, the number of electric buses in the public transport fleet is rapidly increasing, also due to the improvement of their range and efficiency, and to the availability of infrastructures for recharging. In this work we focus on the analysis of the HVAC energy consumption for the Rome bus fleet and its possible evolution during this century in the framework of different IPCC sixth assessment scenarios for climate change: SSP1-1.9, SSP1.2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5. Results of this interdisciplinary approach, joining climatological simulations and HVAC consumption modeling, show no significant change in the consumption totals and distributions for the two virtuous scenarios, SSP1-1.9, and SSP1-2.6. A large increase of Air Conditioning consumption associated to a strong reduction of Heating consumption is foreseen for the worst scenarios, SSP3-7.0 and SSP5-8.0, with prevalence of the Air Conditioning contribution. For the intermediate scenario, SSP3-4.5, the increase of Air Conditioning consumption is in large part compensated by the decrease of Heating consumption. Though, energy demand is concentrated in the summer period, when peaks are observed, with a not negligible impact on the required number of buses. On average approximately 110 additional buses in the intermediate scenario and 330 additional buses in the worst-case scenario are needed to guarantee the present operational service.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"36 ","pages":"Article 101863"},"PeriodicalIF":3.8,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146023522","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}
Taryn Waite , Siwa Msangi , Ying Zhang , Molly French , Nazar Kholod , Jae Edmonds , Stephanie T. Morris
{"title":"Arctic shipping under global change: A case study of offshore oil exports","authors":"Taryn Waite , Siwa Msangi , Ying Zhang , Molly French , Nazar Kholod , Jae Edmonds , Stephanie T. Morris","doi":"10.1016/j.trip.2026.101841","DOIUrl":"10.1016/j.trip.2026.101841","url":null,"abstract":"<div><div>We explore impacts of sea ice thinning and evolutions in the energy sector on future use of the Northern Sea Route (NSR) versus the Suez Canal Route (SCR), using a case study of shipping oil extracted from the offshore Russian Arctic to China. We combine an integrated human-Earth system model with a shipping cost model to incorporate impacts on both oil production and shipping costs under internally consistent scenarios. We find that the NSR could become cost-competitive with the SCR as sea ice thickness declines, especially in an RCP8.5 scenario, due to decreasing fuel and icebreaker escort costs. In a global energy evolution scenario consistent with RCP2.6, high emissions costs on the longer SCR may outweigh the costs associated with thicker sea ice on the NSR. Our novel framework provides integrated projections of NSR shipping traffic and associated emissions driven by potential Arctic offshore oil production and exports.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"36 ","pages":"Article 101841"},"PeriodicalIF":3.8,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146024112","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":"An activity-based model for district-level modal share analysis with electric vehicles","authors":"Dimitrios Rizopoulos , Domokos Esztergár-Kiss , Konstantinos Gkiotsalitis","doi":"10.1016/j.trip.2026.101886","DOIUrl":"10.1016/j.trip.2026.101886","url":null,"abstract":"<div><div>This study introduces an activity-based modeling approach designed to support decision-makers in understanding the dynamics of private car trips and their potential transition to electric mobility. Despite the growing emphasis on sustainable mobility, there remains a gap in the analyses of electric vehicle (EV) penetration into district-level modal share, especially with respect to urban spatial and infrastructural heterogeneity. By leveraging daily activity-travel patterns data from different urban districts in the city of Budapest, Hungary, this research evaluates a range of scenarios across varying levels of EV penetration. The elaborated approach is used to evaluate modal share change objectives by linking individual trip characteristics, such as distance and CO<sub>2</sub> emissions, with district-level attributes, such as availability of charging infrastructure, average node degree, and average shortest path length. The results show that increased EV penetration in the modal share reduces CO<sub>2</sub> emissions across all districts, by up to 23% in some cases, while often increasing travel distances, particularly in regions with lower network density and charger availability. This study aims to provide valuable insights by offering a practical framework that integrates optimization and operation research techniques, incorporates empirical data from surveys and various policy documents, as well as embeds perspectives from transportation geography. Furthermore, the research is further strengthened by sensitivity analyses in the attempt to capture social and spatial heterogeneity in urban mobility electrification.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"36 ","pages":"Article 101886"},"PeriodicalIF":3.8,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147385176","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}