{"title":"Improving mobility: Evaluating demand responsive transport (DRT) services for retirement communities in Santa Clara County, California","authors":"Steven D. Silver","doi":"10.1016/j.trip.2025.101617","DOIUrl":"10.1016/j.trip.2025.101617","url":null,"abstract":"<div><div>We address alternatives in local transportation service offerings to members of retirement communities. A continuing policy dialogue on serving the transportation needs of our retirement-aged citizens has directed attention to demand-responsive services. Our design measures contemporaneous effects of the contrast between fixed schedule (Fixed) service and demand-responsive transport (DRT) on the use of public transportation in retirement communities of Santa Clara County, California, that are closely matched in demographic profiles of residents and geographic location. We supplement the between-subject measure of public transportation usage under the fixed schedule and DRT service offerings with a measure of travel-related subjective well-being (STS) as a within-subject variable for the four most recent trips of respondents. Our results indicate that the community with DRT service had significantly higher public transportation usage and STS ratings than the community with fixed service schedules. Evaluations of the service provider (VTA) from DRT community members trended higher but were not significantly different across each item measured in the scale. As we indicate, these results support methodological refinements and policy dialogue on the benefits of DRT relative to its costs under efficient scheduling.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"33 ","pages":"Article 101617"},"PeriodicalIF":3.8,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144932725","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":"Can government intervention correct and adjust resource misallocation of infrastructure: Evidence from toll expressway of China","authors":"Pengrui Bai , Zhiyu Ma , Lufeng Tian","doi":"10.1016/j.trip.2025.101629","DOIUrl":"10.1016/j.trip.2025.101629","url":null,"abstract":"<div><div>How the government guides the allocation of infrastructure resources has gained attention in recent years as more countries recognize the importance of competent government and efficient market. Most research on the misallocation has only qualitatively considered the negative effects of government intervention on capital or labor. Actually, the structure of mileage scale is more important in the process of transportation resource allocation. To examine the characteristics of resource misallocation in China’s toll expressway sector and clarify the effects of government intervention on such misallocation, we first quantified three misallocations. Employing a dynamic panel model and moderating effect model, we investigated the internal mechanisms of government intervention on resource misallocation in China’s expressway sector. Empirical results revealed four key results. (1) Toll expressways have serious resource misallocation. Government intervention corrects these misallocations, especially mileage scale structure. (2) The corrected effect of government intervention on misallocation shows a significant heterogeneity. Government intervention has a more corrective effect for the operating toll expressways, companies and areas with excessive allocation of toll expressway resources, eastern regions of China. (3) Industrial agglomeration plays a dynamic regulatory role in the process of government intervention to correct misallocation. At an optimal level, government intervention facilitates the ameliorate of misallocation. (4) The same role also exists in factor marketization strengthening the correction. However, the corrective effect of government intervention has a critical value. This study’s insights into government intervention’s effects on resource misallocation in China’s expressway sector lay a critical foundation for enhancing resource efficiency and fostering high-quality infrastructure development.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"33 ","pages":"Article 101629"},"PeriodicalIF":3.8,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145045300","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":"Re-examining fare-free public transport for greater inclusivity","authors":"Daniel Štraub , Daniel Baldwin Hess","doi":"10.1016/j.trip.2025.101558","DOIUrl":"10.1016/j.trip.2025.101558","url":null,"abstract":"","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"33 ","pages":"Article 101558"},"PeriodicalIF":3.8,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145095080","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":"Environmental leapfrogging: Paths and strategies to decarbonise transport in Ethiopia","authors":"Mulugeta Getu Sisay","doi":"10.1016/j.trip.2025.101613","DOIUrl":"10.1016/j.trip.2025.101613","url":null,"abstract":"<div><div>Carbon dioxide emissions from passenger transportation are increasing worldwide and especially in developing countries (DCs). Maintaining a conventional approach to transportation, which is resource-intensive and environmentally damaging, and pursuing incremental emission reductions is no longer sufficient to achieve sustainable transport in DCs. Thus, in developing countries, incremental transport decarbonisation strategies, often based on regulation of the automotive sector, cannot address the complexity of transport emissions and meet the ever-growing demand for mobility. Transport systems in developing countries are not yet tied to a carbon-intensive and car-centric system, but the trend is increasingly moving in this direction. This offers the possibility of “environmental leapfrogging”, a path or process adopted by latecomers to surpass the carbon-intensive and car-centric paths pursued by others. Leapfrogging in the transport sector, defined in this paper as any low-carbon and locally relevant mode of transportation adopted by latecomers, is thus an alternative pathway for developing countries. Using Ethiopia as a case study and data obtained through document analysis, interviews and observation, this paper discusses the prospects of developing countries towards a sustainable low-carbon transportation system. The adoption of active and public transportation and the integration of transport networks are fundamental components of this system. Electric vehicles, commonly associated with leapfrogging, offer further potential in the medium to long term. However, several political, economic and institutional obstacles need to be overcome. This would require the development of clear strategies and instruments, the strengthening of the institutional framework and expanding levellers (such as knowledge and innovation centers and local enterprsies).</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"33 ","pages":"Article 101613"},"PeriodicalIF":3.8,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144932724","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}
Mariana Vilaça , Gonçalo Homem de Almeida Correia , Margarida C. Coelho
{"title":"Applying an ABM-LCA framework for analysing the impacts of shared automated electric vehicles across large-scale scenarios","authors":"Mariana Vilaça , Gonçalo Homem de Almeida Correia , Margarida C. Coelho","doi":"10.1016/j.trip.2025.101623","DOIUrl":"10.1016/j.trip.2025.101623","url":null,"abstract":"<div><div>Amidst the pressing need for sustainable transportation, Shared Automated Electric Vehicles (SAEVs) emerge as an increasingly explored solution with the potential to revolutionize mobility. Yet, understanding the environmental impacts of operating this mobility solution at different scales remains sparse. This study addresses this by integrating Agent-Based Modelling (ABM) and Life Cycle Assessment (LCA) to assess the environmental impacts of SAEVs at municipal, subregional and regional scales. ABM simulates travellers’ behaviour and SAEVs deployment strategies, yielding dynamic patterns along a typical day, while LCA provides a structured framework for assessing the life cycle environmental impacts. This process involves creating an ABM that reflects a representative mobility scenario, and a modified ABM scenario where private car and bus trips are replaced with SAEV services. The analysis extends the different scales, providing both short-term and long-term perspectives on LCA impacts. Findings revealed significant reductions in global warming potential (up to 91%), but challenges include increased operational intensity, human toxicity (up to 240%), and mineral resource scarcity (up to 229%). Vehicle kilometres travelled, and fleet replacement needs are key factors influencing long-term environmental impacts. Larger-scale implementation yields greater environmental benefits compared to smaller-scale deployment.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"33 ","pages":"Article 101623"},"PeriodicalIF":3.8,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145004133","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":"State-of-the-art review of unmanned aerial vehicles (UAVs) and artificial intelligence (AI) for traffic and safety analyses: Recent progress, applications, challenges, and opportunities","authors":"Lubna Obaid , Khaled Hamad , Rami Al-Ruzouq , Saleh Abu Dabous , Karim Ismail , Emran Alotaibi","doi":"10.1016/j.trip.2025.101591","DOIUrl":"10.1016/j.trip.2025.101591","url":null,"abstract":"<div><div>This review comprehensively examines the intersection of Unmanned Aerial Vehicles (UAVs) and Artificial Intelligence (AI) in traffic and safety analyses, addressing their transformative impact on traffic monitoring, safety assessment, and environmental studies. By systematically analyzing over 315 scholarly works from 2009 to 2024, this review highlights the evolution from traditional data collection methods to UAV-enabled systems enhanced by advanced AI algorithms. The findings reveal UAVs’ significant contributions to traffic operations monitoring, safety evaluations, and special environmental applications, demonstrating enhanced efficiency in collecting, analyzing, and interpreting high-resolution traffic data. For instance, UAVs have improved traffic flow estimation accuracy by over 20%, enabled detailed safety conflict analysis through surrogate safety measures like Time-to-Collision (TTC), and facilitated data collection protocols optimized for diverse facility types, including intersections and roundabouts. Key challenges, such as data privacy, integration with existing systems, and weather-related limitations, are critically discussed. The review identifies future research directions, emphasizing the potential for autonomous UAV operations, ethical frameworks, and cost-effective scaling. Ultimately, this review underscores UAVs and AI as pivotal technologies reshaping traffic analysis, enabling smarter, safer, and more sustainable transportation systems.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"33 ","pages":"Article 101591"},"PeriodicalIF":3.8,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144920130","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":"Multi-objective synchronization of public transport and shared modes: Model and application","authors":"Androniki Dimitriadou, Konstantinos Gkiotsalitis","doi":"10.1016/j.trip.2025.101570","DOIUrl":"10.1016/j.trip.2025.101570","url":null,"abstract":"<div><div>One of the main reasons for avoiding public transport is its limited network coverage, often leading to longer door-to-door travel times compared to private vehicles. To address this, better scheduling integration between public transport and shared mobility services is essential for reducing overall travel times and enhancing system’s attractiveness. To this end, this study addresses the Vehicle Routing Problem for shared mobility and the Public Transport Rescheduling Problem (VRP-PTR). The VRP-PTR is formulated as a combined problem, initially modeled as a mixed-integer nonlinear program (MINLP) and subsequently reformulated as a mixed-integer linear program (MILP), aiming to minimize both the operational costs for the service providers and the travel times for passengers. Given the multi-objective nature of the optimization problem, the <span><math><mi>ϵ</mi></math></span>-constraint method is employed to compute Pareto-optimal solutions. This approach is applied to a case study in Athens, Greece, where shuttle buses are considered as on-demand services that transport passengers from various pickup points to the most time-appropriate railway trip. Owing to the combined VRP-PTR formulation, each railway trip is allowed to reschedule its departure time from the station, if necessary. The results demonstrate the model’s potential as a tactical planning tool for optimizing shared mobility routes and synchronizing their services with public transport to meet passenger demand.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"33 ","pages":"Article 101570"},"PeriodicalIF":3.8,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145004131","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}
Cheng Cheng , Gengchen Zhu , Yuting Yan , Zengshuang Li
{"title":"Optimizing logistics park layouts through simulation and adaptive genetic algorithms","authors":"Cheng Cheng , Gengchen Zhu , Yuting Yan , Zengshuang Li","doi":"10.1016/j.trip.2025.101606","DOIUrl":"10.1016/j.trip.2025.101606","url":null,"abstract":"<div><div>This paper presents an innovative approach to the design of logistics park layouts using an Adaptive Genetic Algorithm (GA). Logistics park layout optimization is a complex problem with significant implications for freight transportation efficiency and overall park functionality. In this study, we address the challenge of selecting the most suitable road network layout by considering the unique characteristics of the logistics park and its functional areas. The Adaptive GA incorporates a sophisticated strategy for initial population generation and an adaptive crossover and mutation operation, leading to improved solutions. Through rigorous simulations and evaluations, we compare different road network layouts, highlighting the advantages of both grid and circular layouts. The findings provide valuable insights for logistics park planners and decision-makers, contributing to sustainable and efficient transportation networks.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"33 ","pages":"Article 101606"},"PeriodicalIF":3.8,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144922922","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":"Long-term effects of China’s three-year dynamic Zero-COVID policy on shared parking usage, resilience, and development: Empirical evidence from Guangzhou, China","authors":"Juan Wang , Zijie Tang , Pengyu Zhu","doi":"10.1016/j.trip.2025.101622","DOIUrl":"10.1016/j.trip.2025.101622","url":null,"abstract":"<div><div>China maintained the world’s strictest and most enduring COVID-19 containment policy, the dynamic Zero-COVID policy, which enforced a zero-tolerance to infections from 2020 to 2022. Although studies have shown significant effects of pandemic policies on shared mobility services, the influence of China’s distinctive policy on shared parking, an emerging shared mobility mode, remains poorly understood. Most existing research has focused only on the short-term impacts of the initial 2020 outbreak, neglecting long-term effects for the whole period of dynamic Zero-COVID policy.</div><div>This study uses empirical data from AirParking, China’s largest shared parking platform, covering November 2018 to October 2022, to examine the long-term impacts of the dynamic Zero-COVID policy on shared parking. Event study results reveal that each COVID-19 outbreak led to a sharp decline in shared parking usage yet an increase in average parking duration. Clustering via the Partitioning Around Medoids (PAM) algorithm further indicated a shift in trip purposes toward office-related long-term parking and a reduction in shared parking use within residential areas. In-depth interviews with Airparking senior managers and urban planners revealed that user’s loyalty and internal platform operations were unaffected, but the policy considerably disrupted on-site management of shared parking lots.</div><div>These findings enhance understanding of the resilience of shared parking under stringent public health control measures and provide practical insights for policy design and operational strategies in future health emergencies affecting shared and overall mobility.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"33 ","pages":"Article 101622"},"PeriodicalIF":3.8,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145004132","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 driver-initiated driver control during scheduled transitions with recommendations on reaction times and vehicle control performance in conditional driving automation","authors":"Yuichi Saito , Yusaku Ichinose , Toshihisa Sato , Makoto Itoh","doi":"10.1016/j.trip.2025.101593","DOIUrl":"10.1016/j.trip.2025.101593","url":null,"abstract":"<div><div>A control transition from automation to humans is required in conditional driving automation. Considerable research has been conducted on automation-initiated driver-control that restores drivers into the control loop. However, there is a lack of research on achieving driver-initiated driver control (DIDC) transitions, where drivers deactivate the automated driving at their initiative and pace. This study proposes a DIDC strategy with a recommendation rather than a request for action selection: “I recommend that you deactivate the automated driving mode.” The objective is to investigate the effect of the proposed DIDC strategy on the reaction times and vehicle control performance in scheduled transitions. A scheduled transition scenario was designed with a driving simulator. The current study sought to explore the type of message contents that could achieve DIDC transition: (1) no situational message, (2) situational message, (3) situational message to encourage monitoring, and (4) situational message to recommend deactivation. The behavioral data were analyzed from thirty-nine drivers in simulation for a 21 min drive on a highway. This study found that with the recommendation, the drivers stayed longer with their hands on the steering wheel, focused on the road ahead, and deactivated the automated driving. When achieving DIDC transition, the vehicle control performance was safer at avoiding obstacles. The proposed DIDC strategy is helpful for drivers to deactivate automated driving at their initiative and pace. However, this strategy did not necessarily result in DIDC transition. One challenge is designing escalation steps that accelerate the formation of intentions to deactivate the automated driving.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"33 ","pages":"Article 101593"},"PeriodicalIF":3.8,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144926163","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}