Transportation Research Interdisciplinary Perspectives最新文献

{"title":"Introducing PtAC – an open source tool to assess SDG 11.2 using open data","authors":"Simon Nieland ,&nbsp;Mirko Goletz ,&nbsp;Daniel Krajzewicz ,&nbsp;Daniela Palacios Lopez","doi":"10.1016/j.trip.2025.101516","DOIUrl":"10.1016/j.trip.2025.101516","url":null,"abstract":"<div><div>This paper presents a novel approach for assessing and monitoring Sustainable Development Goal 11.2.1, which measures the proportion of an urban population having convenient access to public transport. Despite its global importance as the key indicator for urban mobility, many cities face significant barriers to implementation, including limited access to standardized input data and a lack of technical capacity. To address these challenges, we introduce PtAC, the Public Transport Access Calculator, an open-source Python library that combines remote sensing data from the World Settlement Footprint Population with crowdsourced geospatial data from OpenStreetMap. PtAC automates the calculation of SDG 11.2.1, offering a globally applicable, transparent, and reproducible methodology for consistent monitoring of urban transport accessibility. The tool was applied to 33 cities worldwide, and its outputs were validated against reference data provided by UN-Habitat. Validation results show a high correlation, underscoring the tool’s potential to support scalable SDG monitoring. The study demonstrates how open and remote sensing data can be operationalized to bridge existing methodological gaps in urban sustainability assessments.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"32 ","pages":"Article 101516"},"PeriodicalIF":3.8,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144738152","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":"Integrating road network operations planning into real-time traffic management: A conceptual framework","authors":"Mahmud Keblawi,&nbsp;Himabindu Maripini,&nbsp;Jiwon Kim,&nbsp;Mark Hickman,&nbsp;Zuduo Zheng,&nbsp;Mehmet Yildirimoglu","doi":"10.1016/j.trip.2025.101525","DOIUrl":"10.1016/j.trip.2025.101525","url":null,"abstract":"<div><div>Management of road networks is an ever-evolving challenge, particularly as urbanization and mobility demands grow. Effectively addressing this challenge involves integrating high-level directions from various strategies, policies, and plans into network operating plans and real-time traffic control operations through a comprehensive network management system. In collaboration with the Queensland Department of Transportation and Main Roads (TMR), this study introduces a new framework for performance-based, multimodal network management. It aims to enhance the alignment between daily operations and strategic objectives by offering a systematic approach for translating high-level intents into real-time traffic management. In addition, this is supported by proposing a conceptual interface design to support the complete implementation of the framework, including performance visualization and operational recommendations, thereby addressing current shortcomings in existing frameworks and management practices and offering a robust solution for evolving network needs.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"32 ","pages":"Article 101525"},"PeriodicalIF":3.9,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144653642","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":"Predictable motorway ramp curves are safer","authors":"Johan Vos","doi":"10.1016/j.trip.2025.101522","DOIUrl":"10.1016/j.trip.2025.101522","url":null,"abstract":"<div><div>Motorway safety depends largely on curve geometry and driver behaviour, a relationship that has implications for research and practice. This paper introduces a novel approach to quantifying geometric design consistency, defined as the degree to which drivers’ expectations of curve radii match actual road geometries. The hypothesis is that if a driver expects a larger curve than that actually present, an accident might occur because of an excessively high approach speed. To test this hypothesis, this study uses Dutch motorway data, including ramp and curve characteristics, as well as crash frequencies. The data were employed in three steps: 1) constructing a Bayesian model that mimics drivers’ expectations, 2) testing the predictions of this model against real curve characteristics, and 3) examining the relationship between disparities in expectations, reality, and crash frequency. The results indicated a positive correlation between disparities in expectations, reality, and crash frequency. This finding suggests that the crash frequency is higher when drivers expect a larger curve than what is present. The Tree Augmented Naïve Bayesian Network (TAN) reveals the complexity of curve expectations, demonstrating that drivers anticipate larger radii in connector ramps and higher speeds with gentler curve angles. Applying this research to motorway design involves using TAN predictions and crash frequency models to assess safety in motorway curve design, which could proactively improve road safety.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"32 ","pages":"Article 101522"},"PeriodicalIF":3.9,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144581230","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":"Factors influencing rideshare satisfaction in a university community","authors":"Deema Almaskati ,&nbsp;Sharareh Kermanshachi ,&nbsp;Jay Michael Rosenberger ,&nbsp;Apurva Pamidimukkala ,&nbsp;Chen Kan ,&nbsp;Ann Foss","doi":"10.1016/j.trip.2025.101547","DOIUrl":"10.1016/j.trip.2025.101547","url":null,"abstract":"<div><div>On-demand mobile applications for ridesharing services are a relatively recent development in transportation that promotes peer-to-peer resource reallocation and fosters efficiency and sustainability by optimizing available resources and reducing fuel consumption, traffic, and transportation inequality. Customer satisfaction and retention are key to reaping these benefits, however, and while previous research has examined ride ratings through the lens of customer biases, it fails to evaluate the relationship between customer rideshare satisfaction and other trip features. This study examined the service criteria of rideshare journeys to and from a university in Arlington, Texas between 2021 and 2022. A variety of models were developed to assess the influence of several trip parameters on ride ratings, and the best performing model, the random forest model, was selected for further evaluation. The results indicated that ride distance, duration, month, and day of the week had the greatest impact on the ratings. Partial dependence plots were also created to increase the interpretability of the model, and recommendations were developed for stakeholders. The results have important implications for legislators, rideshare service providers, and transportation professionals.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"32 ","pages":"Article 101547"},"PeriodicalIF":3.8,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144723905","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":"Spatio-temporal Graph Convolutional Neural Network for traffic signal prediction in large-scale urban networks","authors":"Shimon Komarovsky,&nbsp;Jack Haddad","doi":"10.1016/j.trip.2025.101482","DOIUrl":"10.1016/j.trip.2025.101482","url":null,"abstract":"<div><div>This research aims at tackling the traffic signal problem for large-scale networks via a deep learning approach. Our ultimate goal is to construct an automatic traffic management system, where human operators supply commands, and the system realizes them via executing appropriate signal plans (SPs) or green durations in the intersections. The current paper considers the first step to achieve this goal. In this paper, two models that can handle spatio-temporal graphical data are developed based on Graph Convolutional Neural Network. The developed models can be utilized either for traffic prediction tasks or for decision-making, e.g. of green times in intersections, given fixed cycle time steps. Different dataset and features are considered. In the first model, prediction of speed data is examined, while in the second model green times and speed are predicted. The large-scale urban network of Tel Aviv is considered, where data features such as speed are extracted from an array of Bluetooth sensors located at the network signalized intersections, while its signal plans represent the traffic operators’ commands. The obtained results show that: (i) including signal plan IDs and/or temporal features (month, year, day, etc.) in speed or green time duration prediction tasks can improve the performance; (ii) considering fixed cycle time steps enhances the prediction compared with non-cycle-time steps; and (iii) including Bluetooth features in green times prediction task resulted with a slight degradation in performance.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"32 ","pages":"Article 101482"},"PeriodicalIF":3.9,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144523099","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":"From temporariness to mobility futures: A review of progress in tactical urbanism as an active travel planning tool","authors":"Jarvis Suslowicz,&nbsp;Helge Hillnhütter","doi":"10.1016/j.trip.2025.101510","DOIUrl":"10.1016/j.trip.2025.101510","url":null,"abstract":"<div><div>This article explores progress in institutional efforts to use tactical urbanism as planning tool for driving a modal shift towards active travel in urban areas. Using a tried and tested framework for assessing transitional capacity of street experiments, this article reviews 92 semi-systematically selected academic works, most covering a range of temporary street-space reallocation projects linked by a common purpose of supporting a shift to active travel modes. It confirms that although tactical urbanism is now widely used to carve out space for walking and cycling, particularly with the opportunity presented by the COVID-19 pandemic, most projects still encounter difficulty in transitioning towards later-stage outcomes, with common blockages appearing throughout: (1) the temporariness of funding schemes and networks of governance; (2) deficient strategic foresight into the transition towards a long-term vision for mobility; (3) inadequate engagement with both supporters and critics of change; and (4) inattention to network principles of urban mobility otherwise considered in their permanent counterparts. Though critical, the review highlights cases which viably use tactical urbanism as a step towards long-term, large-scale change, with weaknesses presented as focal points for awareness by practitioners hoping to utilise tactical urbanism for this purpose.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"32 ","pages":"Article 101510"},"PeriodicalIF":3.9,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144518244","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":"Effect of parachute and airbag in reducing safety risk posed by small UAS to people on the ground","authors":"Chengpeng Jiang ,&nbsp;Henk Blom ,&nbsp;Borrdephong Rattanagraikanakorn","doi":"10.1016/j.trip.2025.101521","DOIUrl":"10.1016/j.trip.2025.101521","url":null,"abstract":"<div><div>To reduce the safety risk posed by small Unmanned Aircraft System (UAS) to persons on the ground, one of the mitigating measures is to equip the UAS with an airbag in combination with a parachute, both of which are deployed in case of an uncontrolled descent. In literature, methods for the evaluation of the effect of a parachute alone have been developed. This paper develops a method to assess the safety risk for persons on the ground posed by a UAS that is both equipped with an airbag and a parachute. For the descent phase of the UAS to the ground, existing models are used. The novel part is the dynamical simulation of the effect on a human body of impact and interaction of a UAS with airbag. For the human impact simulation, use is made of Multi Body System (MBS) model for the UAS and the human; in combination with Finite Element (FE) model of the airbag. This method is applied for a specific parcel delivery UAS, of 15 kg weigh, for cases with and without airbag. The results obtained show that the combination of parachute and airbag can reduce the safety risk posed to people on the ground by more than one order in magnitude. Comparison with existing models for parachute alone, show that the novel method is much better in taking UAS design and material properties into account. The paper also shows that the dynamical simulation results obtained provide effective feedback to the further improvement of the airbag design.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"32 ","pages":"Article 101521"},"PeriodicalIF":3.9,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144588663","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":"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":"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}