Transportation Research Interdisciplinary Perspectives最新文献

{"title":"Exploring “Many Objective Robust Decision Making” for managing uncertainty in climate policy analysis for the transport sector","authors":"Albin Engholm ,&nbsp;Ida Kristoffersson","doi":"10.1016/j.trip.2025.101524","DOIUrl":"10.1016/j.trip.2025.101524","url":null,"abstract":"<div><div>This study explores the use of Many Objective Robust Decision Making (MORDM) to manage deep uncertainty in transport climate policy analysis. The focus is on policies supporting Sweden’s ambition to achieve net-zero emissions by 2045. A case study analysis demonstrating how MORDM can be applied to a simplified policy analysis tool for the Swedish transport sector is performed. Candidate policies are generated using a multi-objective evolutionary algorithm. This algorithm searches for policies that meet the climate target while trying to minimize adverse impacts on driving-based accessibility and limiting the use of biofuels and electricity for a reference scenario for 2040. The candidate policies’ robustness and vulnerabilities are then assessed by evaluating them over a set of 10,000 scenarios spanned by deeply uncertain scenario factors and model relationship assumptions. The results highlight tradeoffs among policy objectives within scenarios, as well as tradeoffs in robustness of various policy objectives over the scenario set. For all policies, the main vulnerability in terms of reaching the climate target relates to vehicle electrification rates. However, the MORDM policies do not distinctly outperform policies identified by a previous study by the Swedish Transport Administration applying the same tool. MORDM provides a framework for systematic evaluation of policy robustness and vulnerabilities under varying future uncertainties, something which has not previously been explicitly considered. The study contributes to a better understanding of the trade-offs and dependencies inherent in achieving robust transport climate policies.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"32 ","pages":"Article 101524"},"PeriodicalIF":3.9,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144604362","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":"Evaluating urban network efficiency and safety impacts of connected and autonomous vehicles in complex city environments","authors":"Nick Sauciur ,&nbsp;Amirarsalan Mehrara Molan ,&nbsp;Soheil Sajjadi ,&nbsp;Bernice Liu ,&nbsp;Anurag Pande","doi":"10.1016/j.trip.2025.101538","DOIUrl":"10.1016/j.trip.2025.101538","url":null,"abstract":"<div><div>The rapid advancements in autonomous vehicle technology, particularly in ride-sharing services within urban networks, emphasize the critical need for comprehensive research on their impact, especially as CAV <strong>(</strong>connected and autonomous vehicle) operators target new markets. This study addresses the pressing gap in evidence regarding the effects of connected and autonomous vehicles (CAVs) on urban infrastructure, a concern for communities that lack a thorough understanding of how these technologies will influence traffic on their network. By modeling a 13 sq. km network of downtown San Jose using the VISSIM microscopic traffic simulation tool, this research assesses both the operational and safety performance of the network at varying market penetration rates for the CAVs. The key evaluation metrics include average travel times, delays, and speeds, alongside surrogate safety assessments to quantify simulated conflict types.</div><div>Notably, the findings indicate significant improvements in roadway performance and safety correlating with increased CAV penetration, with average stop delays and overall vehicle delays decreasing by up to 11% and 7%, respectively. However, the maximum platoon size did not significantly enhance these benefits. This phenomenon may be attributed to the inherent complexities of urban networks, which present numerous interruptions, such as traffic signals and multimodal traffic accessing the network from several points. Based on the Surrogate Safety Assessment Model (SSAM) conducted, while the number of critical crossing conflicts decreased, a rise in lane-change and rear-end near misses was identified with increasing CAV penetration rates. As communities consider allowing CAV operations, this research not only highlights the potential advantages of integrating CAVs into urban traffic systems but also emphasizes the necessity for informed planning to harness their full benefits while mitigating potential challenges. Ultimately, understanding the dynamic interactions between CAVs and human-driven vehicles (HVs) and other multimodal traffic is essential for developing effective strategies that promote sustainable and efficient urban mobility.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"32 ","pages":"Article 101538"},"PeriodicalIF":3.9,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144694813","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":"Analyzing the severity of distracted driving crashes on horizontal curves of rural highways: A hybrid approach of boosting-based ensemble machine learning and discrete choice methods","authors":"Morteza Safari,&nbsp;Meysam Effati,&nbsp;Mahyar Arabani","doi":"10.1016/j.trip.2025.101542","DOIUrl":"10.1016/j.trip.2025.101542","url":null,"abstract":"<div><div>Distracted driving crashes seriously threaten road safety, particularly on rural two-lane undivided (RTU) highways where horizontal curves can present additional challenges for drivers. This study uniquely investigates distraction-related single-vehicle crashes on horizontal curves of RTU highways using boosting-based ensemble learning methods to explore and prioritize key contributors to crash severity. It also utilized discrete choice statistical models to evaluate the influence of these factors on crash severity levels and identify unobserved heterogeneity. Evaluating and comparing ensemble learning algorithms showed that the Light Gradient Boosting Machine (LightGBM) model, with its gradient boosting capabilities and an accuracy exceeding 75 %, performed best in fitting the data and identifying the most critical factors contributing to distraction-related crashes on RTU curves. Ten factors were identified as the most significant influences on the severity of distraction-related crashes on RTU curves: crash time, collision type, season, speed limit, terrain type, curve type, curve radius, driver’s age, vehicle type, and land use, respectively. When quantitatively assessing the factors contributing to the severity of distraction-related crashes, the binary logistic regression model outperformed the binary mixed logit model with a better statistical fit and no significant unobserved heterogeneity in the crash dataset. Based on the results, the presence of motorcycles, old drivers, sharp-radius curves, rolling terrains, and speed limits above 40 km/h considerably raised the likelihood of serious distraction-related crashes on RTU curves.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"32 ","pages":"Article 101542"},"PeriodicalIF":3.8,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144766762","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":"A solution to the Single-School school bus routing problem considering accessibility and economy","authors":"Zizhan Jiang ,&nbsp;Jiying Wang ,&nbsp;Siyuan Huang ,&nbsp;Hua Daniel Xu","doi":"10.1016/j.trip.2025.101506","DOIUrl":"10.1016/j.trip.2025.101506","url":null,"abstract":"<div><div>The school bus routing problem (SBRP) involves the optimal placement of bus stops and design of bus routes. A well-designed SBRP strategy can reduce the operating costs of the school bus system, improve accessibility, and ensure timely arrival for teachers and students. This paper integrates the heuristic Dijkstra algorithm with Geographic Information Systems (GIS) to propose a three-stage heuristic GIS optimization method (THGO) for solving the Single-School Multi-Route School Bus Routing Problem (SSMR-SBRP).</div><div>In the first stage, we use a clustering method based on the minimum covering circle to set bus stops that passengers can reach on foot. In the second stage, we establish a mixed-integer linear programming (MILP) model for SSMR-SBRP, aiming to minimize the total travel distance. Heuristic algorithms, such as Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO), and Floyd-Warshall, are employed to determine the initial solution, which includes the optimal number of buses and their preliminary routes. In the third stage, Dijkstra’s algorithm is combined with GIS to optimize the bus routes, with a focus on accessibility and economy.</div><div>Experimental results demonstrate that the THGO method can efficiently find the global optimal solution while satisfying constraints such as time windows, bus capacity, and road directionality. The optimized routes reduce driving distance by 23.13%, save 30.41% of driving time, and cut operating costs by 26.02% compared to the current school bus system.</div><div>This paper validates the feasibility and advantages of the THGO method using the SSMR-SBRP case study. Moreover, by introducing resource-sharing and constraint mechanisms into the model, the THGO framework can be extended to multi-school, heterogeneous school bus scenarios, offering a practical solution to the Multi-School Mixed School Bus Routing Problem.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"32 ","pages":"Article 101506"},"PeriodicalIF":3.8,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144738092","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":"Potential effects of autonomous vehicles on transport mode choice and sedentary behaviour in an Australian context – a modelling study","authors":"Branislava Godic ,&nbsp;Rajith Vidanaarachchi ,&nbsp;Leon Booth ,&nbsp;Simone Pettigrew ,&nbsp;Victoria Farrar ,&nbsp;Jason Thompson","doi":"10.1016/j.trip.2025.101540","DOIUrl":"10.1016/j.trip.2025.101540","url":null,"abstract":"<div><h3>Background</h3><div>Autonomous vehicles (AVs) are hailed as having the potential to improve road safety. However, they may also encourage engagement in more sedentary transport. This modeling paper aims to explore how the uptake of AVs may lead to increased sedentary behaviour and to explore potential policy interventions.</div></div><div><h3>Methods</h3><div>An Agent-Based Model was developed using survey responses and domain expertise to simulate humans’ transport mode choices. 250 ‘human’ agents were distributed into an imagined future environment containing AVs. Agents’ decision-making was based on the Theory of Planned Behaviour. Effects on mode choice and sedentary behaviour associated with transport modal choice were observed. Six policy scenarios related to the introduction of AVs were then explored, including policies designed to both incentivise and disincentivise AV use.</div></div><div><h3>Results</h3><div>Baseline results showed rapid adoption of autonomous transport mode choice across both private AVs and autonomous ‘ride hail’ options, driven by decreasing costs of AVs and increasing acceptance of AV technology over time. Changes in agents’ transport behaviours coincided with a decrease in active transport trips and increase in sedentary transport behaviour. Additional fees for ride-hail AV trips disincentivised their use. Up-front financial discounts for the purchase of AVs increased adoption more than post-purchase rebates.</div></div><div><h3>Conclusion</h3><div>Increases in autonomous transport are expected to be accompanied by greater sedentary transport behaviour. Financial incentives to restrict AV adoption may be effective in mitigating adverse consequences. The model framework provides a flexible platform upon which to test a variety of future policy transport and technology adoption scenarios.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"32 ","pages":"Article 101540"},"PeriodicalIF":3.8,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144738093","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":"Land use and transport integration across scales: A review of evolving models and strategies for scaling up","authors":"Dong Xiao,&nbsp;Liton Kamruzzaman,&nbsp;Hai L. Vu","doi":"10.1016/j.trip.2025.101544","DOIUrl":"10.1016/j.trip.2025.101544","url":null,"abstract":"<div><div>Land Use and Transport Integration (LUTI) models are critical tools for understanding the complex interactions between land use dynamics and transport systems. While extensively applied at local and metropolitan levels, their implementation at broader spatial scales remains limited and fragmented. This systematic review examines 115 peer-reviewed studies to trace the evolution of LUTI models across spatial levels—from cities to national contexts. Using bibliometric, content, and thematic analyses, the study identifies key modelling approaches, integration mechanisms, and application domains. Findings reveal a progression from aggregate spatial interaction models to disaggregate agent-based and microsimulation frameworks, with accessibility-activity feedback loops serving as the core integration mechanism. Despite methodological advancements, the review highlights persistent challenges in scaling up LUTI models, including data harmonization, computational complexity, and inter-jurisdictional policy coordination. Building on insights from large-scale implementations, the paper proposes a conceptual framework to guide future model development, focusing on data organization, hybrid model architectures, and long-term strategic functionality. By synthesizing evolving practices and identifying pathways to overcome scaling barriers, this review contributes to both academic research and professional practice. For researchers, the study offers a refined spatial scale typology and a structured framework for large-scale LUTI model development. For practitioners, it presents actionable strategies to address real-world implementation challenges, including data harmonization, model usability, and inter-jurisdictional coordination. These insights support the broader application of LUTI models in regional and national strategic planning.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"32 ","pages":"Article 101544"},"PeriodicalIF":3.8,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144748598","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":"Mapping and quantifying near-miss events involving vehicles and vulnerable road users in Reno and Sparks, Nevada","authors":"Scott Kelley ,&nbsp;Cole Peiffer ,&nbsp;Fei Guan ,&nbsp;Hao Xu ,&nbsp;James Okorocha ,&nbsp;Kelly Dunn ,&nbsp;Carlos Cardillo","doi":"10.1016/j.trip.2025.101514","DOIUrl":"10.1016/j.trip.2025.101514","url":null,"abstract":"<div><div>Rising injury and fatality rates of vulnerable road users (VRUs) challenge policy efforts to make roads safer and contribute to public hesitancy to bike or walk more. To date, data-driven solutions to address VRU safety often rely on official crash data, but these data are limited in reflecting total safety experiences of VRUs. Near-miss events, which occur when a crash involving a vehicle and a VRU is narrowly averted, also contribute to hesitancy to bike or walk, but comparatively little is known about their location and frequency relative to official crashes. To address this, we distributed a web-based survey to bicyclists and pedestrians in Reno and Sparks, Nevada, USA. Analysis of their survey responses reveals that most traveled as a VRU frequently and had concerns about infrastructure and their safety. Using an interactive map, 175 respondents identified 277 locations where they either previously experienced a near-miss or felt unsafe with traveling as a VRU. We deployed mobile roadside LiDAR sensors to continuously collect data over two 72-hour periods in October 2023 at the 10 most frequently identified intersections in the survey responses. We recorded 251 near-miss events between vehicles and either bicyclists or pedestrians using LiDAR trajectory data and the post-encroachment time (PET) near-miss detection method. Our results underscore the prevalence of near-misses, as only 26 official crashes were recorded at these same intersections over the previous five years. The observed high relative frequency of near-miss events underscores the importance of integrating near-miss events into countermeasure planning.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"32 ","pages":"Article 101514"},"PeriodicalIF":3.9,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144518879","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":"Analysis of alternative commercial vehicle road user charges","authors":"Dan Wei ,&nbsp;Genevieve Giuliano,&nbsp;Kelly-Anne Moffa ,&nbsp;Zakhary Mallett","doi":"10.1016/j.trip.2025.101519","DOIUrl":"10.1016/j.trip.2025.101519","url":null,"abstract":"<div><div>As fuel tax revenues decline from increased fuel efficiency and the transition to alternative fuels, governments are searching for new revenue sources to support the transportation system. User fees are among the most widely considered substitutes. They could increase both system efficiency and the equity of transportation taxes by more closely aligning prices with costs imposed. We conduct an analysis of mileage-based user charges (MBUC) for trucks in California. We explore the differences in MBUC relative to current state fuel and weight fees in terms of revenues generated, changes in cost sharing among truck classes and commodity categories, and implications to the State economy as well as households from different income groups. Revenue neutral scenarios have little economy-wide impacts, but shares of fees paid differ across vehicle classes. Increasing the charge to include pollution costs results in negative economic outcomes. Distributional impacts are negligible.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"32 ","pages":"Article 101519"},"PeriodicalIF":3.9,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144579956","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":"How practitioners conceptualize and operationalize transportation equity in Delaware’s capital expenditure process","authors":"Philip Barnes,&nbsp;Andrea L. Pierce,&nbsp;Calaia S. Jackson","doi":"10.1016/j.trip.2025.101528","DOIUrl":"10.1016/j.trip.2025.101528","url":null,"abstract":"<div><div>Equitable outcomes are an increasingly important expectation for state Departments of Transportation capital expenditures, yet little is known about the methods and practices used to incorporate the amorphous concept of equity into infrastructure budgetary decisions. This research project employs semi-structured interviews with key personnel in the Delaware Department of Transportation (DelDOT) and local Metropolitan Planning Organizations to illuminate their conceptualization of equity and how it influences capital expenditures for the state’s transportation systems. Utilizing a pre-existing framework for understanding transportation equity, the analysis reveals that practitioners primarily emphasize three dimensions: Fair Share (communities are involved in planning, infrastructure supports non-drivers, and investments are distributed across the state), Inclusivity (infrastructure and mobility systems prioritize accessible options for individuals with special needs), and Social Justice (areas with low-income and minority communities are prioritized for investments, minority-owned businesses receive support for procurement and contracting). DelDOT operationalizes equity through federal requirements and funding, project identification and planning processes, DelDOT’s Equity Analysis Tool, Project Prioritization Criteria used to rank and sort candidate projects, and DelDOT’s Disadvantaged Business Enterprise Program. Practitioner-identified barriers to advancing transportation equity include data quality and availability, and difficulty engaging with underrepresented and hard-to-reach populations. The case study provides valuable insights to other states interested in advancing transportation equity through their capital expenditure process, as well as opportunities to broaden conceptions of transportation equity beyond current practice.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"32 ","pages":"Article 101528"},"PeriodicalIF":3.9,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144595603","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":"Beyond the 15-minute city: Methodological lessons for proximity-based planning from two English case studies","authors":"Alexander Nurse ,&nbsp;Caglar Koksal ,&nbsp;Graeme Sherriff","doi":"10.1016/j.trip.2025.101520","DOIUrl":"10.1016/j.trip.2025.101520","url":null,"abstract":"<div><div>The 15-minute city (15MC) popularises an older idea: that everyday destinations should be within a short, walkable or cyclable distance. Treating that idea more broadly as proximity-based planning, this study examines two English case-studies − Toxteth in Liverpool and the local authorities of Manchester and Salford. Using a combination of computerised traffic sensing, GIS service-access mapping and resident co-design workshops, the study shows that a multidisciplinary perspective and multi-method approaches are necessary to fully understand and implement proximity-based planning ideas. Our research underscores that there is no one-size-fits-all solution, and the importance of tailored, flexible, and context-sensitive methodological approaches are critical for proximity-based principles to succeed. The study reflects on how urban planners can combine these methods in practice to support proximity-based planning. We suggest that future efforts should focus on addressing socio-economic disparities, enhancing public engagement, building coalitions with key agencies, and refining/tailoring methodologies to better align with local conditions.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"32 ","pages":"Article 101520"},"PeriodicalIF":3.9,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144604361","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}