Case Studies on Transport Policy最新文献

{"title":"Understanding changes in traffic conditions during the Tokyo 2020 Olympic and Paralympic Games","authors":"Takao Dantsuji ,&nbsp;Hiromichi Yamaguchi","doi":"10.1016/j.cstp.2025.101509","DOIUrl":"10.1016/j.cstp.2025.101509","url":null,"abstract":"<div><div>We investigate changes in traffic conditions during the Tokyo 2020 Olympic and Paralympic Games. Given the network topological advantages of the Tokyo Metropolitan area, where most tolled expressways and highways are parallel, the expressways were primarily used for transporting the Olympic families by implementing TDM strategies during the Games. According to Tokyo Metropolitan Government (2021), the daily total trips on the Tokyo Metropolitan expressways decreased by approximately 12 % compared to one week before the Games. However, the temporal changes on traffic conditions have not been fully investigated. To address this gap, we evaluate temporal patterns using the Macroscopic Fundamental Diagram (MFD), estimated from multiple data sources. Additionally, we develop an anomaly detection approach to identify and analyze changes in highway traffic congestion resulting from the TDM strategies implemented during the Games. We find that the expressway traffic conditions were moderately managed at the aggregate level. Moreover, highway traffic congestion patterns did not change significantly during the Games, but several unusual patterns are identified by the anomaly detection approach. We discuss potential reasons for these observations, including the possibility that expressway congestion induced by the TDM strategies contributed to speed reductions on the highways.</div></div>","PeriodicalId":46989,"journal":{"name":"Case Studies on Transport Policy","volume":"21 ","pages":"Article 101509"},"PeriodicalIF":2.4,"publicationDate":"2025-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144501405","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":"Optimization of the distribution of hospital supplies during the Covid-19 pandemic under uncertainties","authors":"Priscila Damasio ,&nbsp;Joyce Azevedo Caetano ,&nbsp;Glaydston Mattos Ribeiro ,&nbsp;Laura Bahiense","doi":"10.1016/j.cstp.2025.101520","DOIUrl":"10.1016/j.cstp.2025.101520","url":null,"abstract":"<div><div>The novel coronavirus pandemic, a biological disaster, has increased the demand for medical supplies. In response, humanitarian logistics has become an important component in disaster management efforts, essential to relieving the suffering of those affected. The unpredictable nature of such crises makes planning these operations a challenge. In this context, mathematical models are crucial tools that support decision-making processes, ensuring effective logistics responses in disaster scenarios. This paper introduces a robust mathematical model designed to optimize the distribution of hospital supplies in scenarios with varying demand. The model serves as a strategic decision support tool by integrating facility location and vehicle allocation, incorporating parameters such as facility opening costs, transportation, travel times, urgency levels, fleet heterogeneity, and the optimal number of trips. Real-world data from five municipalities in Rio de Janeiro, Brazil, were used to validate the model during the Covid-19 pandemic. Computational experiments demonstrated that the robust model effectively balances costs and logistics performance, with total costs increasing by up to 42.7% in medium demand scenarios and decreasing by up to 15.4% in high demand scenarios, depending on the probability of occurrence and risk aversion. The model presents a conservative solution that accommodates different demand scenarios and provides better performance compared to deterministic solutions obtained from the average demand.</div></div>","PeriodicalId":46989,"journal":{"name":"Case Studies on Transport Policy","volume":"21 ","pages":"Article 101520"},"PeriodicalIF":2.4,"publicationDate":"2025-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144365781","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 mobile phone use behavior among electric bicycle food delivery riders: an extended theory of planned behavior approach","authors":"Longqian Lu,&nbsp;Meiyu Liu","doi":"10.1016/j.cstp.2025.101535","DOIUrl":"10.1016/j.cstp.2025.101535","url":null,"abstract":"<div><div>This study aims to explore the underlying causes and influencing factors of mobile phone use behavior among electric bicycle food delivery riders during rides. Based on the extended Theory of Planned Behavior (TPB), this research constructs a structural equation model (SEM) that incorporates latent variables such as attitude, subjective norm, perceived behavioral control, traffic environment perception, delivery environment perception, and salary expectation. Data were collected through a questionnaire survey of 121 electric bicycle food delivery riders in Chaoyang District, Beijing, primarily males aged 31–40. Statistical analysis was conducted using SPSS (Version 27) and AMOS (Version 24). The results indicate that attitude and subjective norm have a significant negative impact on riders’ behavioral intentions to use mobile phones, while perceived behavioral control and traffic environment perception exert a significant positive impact on behavioral intention. Additionally, both behavioral intention and perceived behavioral control have a significant positive influence on actual behavior. The study concludes that enhancing safety awareness education and optimizing infrastructure for non-motorized vehicles can effectively reduce the hazardous behavior of mobile phone use during rides, thereby improving the traffic safety of riders.</div></div>","PeriodicalId":46989,"journal":{"name":"Case Studies on Transport Policy","volume":"21 ","pages":"Article 101535"},"PeriodicalIF":2.4,"publicationDate":"2025-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144330325","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":"Assessing truck driver fatigue perceptions: Insights from a South African road freight context","authors":"Andries Mouton ,&nbsp;Leila Louise Goedhals-Gerber ,&nbsp;Anneke De Bod","doi":"10.1016/j.cstp.2025.101526","DOIUrl":"10.1016/j.cstp.2025.101526","url":null,"abstract":"<div><h3>Background</h3><div>Truck driver fatigue, influenced by health and operational conditions, compromises safety performance. Passenger and freight transport share the road, and any lapse in performance is detrimental. Ensuring that truck drivers are healthy to perform their work responsibilities is critical. This study evaluates driver perceptions of health, safety, and fatigue by developing and validating ten fatigue-related constructs, including company support, driver wellness, work pressures, driver engagement, health awareness, and home environment.</div></div><div><h3>Objective</h3><div>The study assessed fatigue-related perceptions among truck drivers in a South African road freight carrier to identify areas for improvement.</div></div><div><h3>Method</h3><div>A survey of 1788 professional truck drivers was conducted to develop and evaluate these constructs using exploratory and confirmatory factor analysis. Cohen’s d was applied to compare business units within the carrier, highlighting significant differences and identifying best practices.</div></div><div><h3>Results</h3><div>Drivers reported high ratings in company support (x̄ = 3,806), safety culture (x̄ = 3,655), driver engagement (x̄ = 4,221), and a supportive home environment (x̄ = 3,554). However, a gap exists between perceived support and health awareness (x̄ = 2,681) and status (x̄ = 2,620), indicating a need for targeted health interventions to enhance fatigue-related knowledge and behaviour. Significant differences between business units (BUs) suggest the need for tailored interventions, learning from top performers (such as BU3 in West Africa and BU5 in hazardous goods transport), and addressing issues in underperforming units, such as BU1 in time-sensitive transport.</div></div><div><h3>Conclusion</h3><div>Effective fatigue management requires collaboration with truck drivers and external organisations (customers, truck stops, government) to tackle health and awareness challenges, tailoring solutions to the specific needs of each operation.</div></div><div><h3>Contribution</h3><div>Insights into driver perceptions can guide policy decisions to improve health and safety by enhancing knowledge, healthy behavioural choices, and access to supportive resources.</div></div>","PeriodicalId":46989,"journal":{"name":"Case Studies on Transport Policy","volume":"21 ","pages":"Article 101526"},"PeriodicalIF":2.4,"publicationDate":"2025-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144501407","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":"Local public transport efficiency analysis: empirical evidence from Italian provinces","authors":"Angela Stefania Bergantino ,&nbsp;Mario Intini ,&nbsp;Francesco Porcelli ,&nbsp;Luca Tangari","doi":"10.1016/j.cstp.2025.101521","DOIUrl":"10.1016/j.cstp.2025.101521","url":null,"abstract":"<div><div>This study presents evidence on the efficiency of local public transport (LPT) in Italian provinces from 2002 to 2017. It employs a two-stage analysis. First, efficiency is measured using data envelopment analysis (DEA). Subsequently, these scores are compared to local context variables using linear panel data models. The study evaluates both expenditures and technical efficiency, considering various inputs and outputs such as vehicle kilometres, accidents, and the number of passengers. Efficiency scores have been computed for each provincial capital, which are classified as decision-making units (DMUs). The results reveal significant changes in regional efficiency; however, no clear geographical pattern is identified among municipalities, though municipalities in northern regions exhibit higher levels of efficiency on average. The study also identifies and investigates the key factors influencing the efficiency of LPT. The insights from this efficiency analysis underscore the pivotal role of LPT in regional development, highlighting its growing relevance amidst urban and demographic shifts.</div></div>","PeriodicalId":46989,"journal":{"name":"Case Studies on Transport Policy","volume":"21 ","pages":"Article 101521"},"PeriodicalIF":2.4,"publicationDate":"2025-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144535727","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 expert-based evaluation of fuel alternatives for green road passenger transport in Germany","authors":"Javier Perez Vera ,&nbsp;Ali E. Torkayesh ,&nbsp;Sandra Venghaus","doi":"10.1016/j.cstp.2025.101502","DOIUrl":"10.1016/j.cstp.2025.101502","url":null,"abstract":"<div><div>To achieve climate-neutrality in Germany by 2045, a profound transformation across all sectors is necessary. The transport sector is responsible for a significant proportion of greenhouse gas (GHG) emissions in Germany and the European Union more widely. With low reductions in GHG emissions, the fossil fuel-dependent German road passenger sector is regarded as one of the primary challenges to achieving the climate-neutrality target. Thus, replacing current fossil fuels with sustainable alternatives is of high importance for defossilizing the road passenger transport sector and moving towards climate-neutrality. However, the identification of promising fuel alternatives and their prioritization for implementation is a complex and multi-dimensional decision-making problem that requires robust tools to generate reliable solutions. For this purpose, a holistic approach was developed using an entropy-based consolidated multi-criteria decision analysis (MCDA) for fuel evaluation under technical and sustainability frameworks based on stakeholder opinions. Methodological and managerial sensitivity analyses are conducted to show the robustness of the results under different circumstances. The results indicate that GHG emissions with an importance of 22%, policy compliance with an importance of 13%, and ecotoxicity with an importance of 9% are the most important criteria for fuel evaluation. On the other hand, electric vehicles and green hydrogen demonstrate the most promising performance for shaping the future road transport sector, followed by advanced biofuels and Power-to-X fuels.</div></div>","PeriodicalId":46989,"journal":{"name":"Case Studies on Transport Policy","volume":"21 ","pages":"Article 101502"},"PeriodicalIF":2.4,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144548703","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":"Fuzzy micro-scale accessibility indexes from the perception of pedestrians with disabilities: case study of a medium-sized Latin American city","authors":"Ana Paula Soares Müller,&nbsp;Alejandro Ruiz-Padillo","doi":"10.1016/j.cstp.2025.101534","DOIUrl":"10.1016/j.cstp.2025.101534","url":null,"abstract":"&lt;div&gt;&lt;div&gt;Physical accessibility is an important characteristic of urban infrastructure, allowing safe, comfortable and independent pedestrian mobility. To assess such an aspect, it is convenient to consider how physical accessibility conditions are perceived by pedestrians, especially the most vulnerable ones, such as people with disabilities. Addressing this topic, the objective of this study was the development of accessibility indexes, called Fuzzy Sidewalk Accessibility Index − &lt;em&gt;FSAI&lt;/em&gt; and Fuzzy Crosswalk Accessibility Index − &lt;em&gt;FCAI&lt;/em&gt;, to evaluate the level of perceived accessibility by pedestrians with physical, visual and hearing disabilities, combining an evaluation checklist of micro-scale attributes and a questionnaire. Fuzzy logic and a multi-criteria assessment technique were applied to generate the proposed indexes, taking into account the subjectiveness and uncertainties that are inherent to the evaluation. Subsequently, the indexes were applied in a case study in a medium sized Brazilian city, to test their suitability in assessing the level of accessibility of sidewalks and crosswalks in the downtown area. Therefore, the present research innovates by addressing a context not frequently considered in this context — medium sized cities from Latin America — as well as by including the perception of pedestrians with different types of disabilities, while previous studies usually understand disabled individuals as an homogeneous group. In addition, the proposed accessibility indexes are the first to apply a fuzzy approach within the aforementioned context. The results from the case study indicated a general inadequacy of accessibility conditions, with no accessible pedestrian route identified in the area. It is clear that pedestrian intersections need careful attention in the city of Santa Maria, since all presented poor physical accessibility within the evaluated area. Installing adequate pedestrian signals and well painted and paved crosswalks should be a local priority. Furthermore, the &lt;em&gt;FSAI&lt;/em&gt; and &lt;em&gt;FCAI&lt;/em&gt; were demonstrated to be an adequate tool to measure physical accessibility in a detailed manner, addressing perceived accessibility by people with different disabilities, collaborating with a still lacking research area and innovating by including different types of disabilities and a micro-scale approach. Through the &lt;em&gt;FSAI&lt;/em&gt; and &lt;em&gt;FCAI&lt;/em&gt; application, stakeholders, city planners and researchers can classify pedestrian infrastructure on the level of accessibility, map accessible pedestrian routes and identify specific attributes that might represent priorities for improvement. Thus, the &lt;em&gt;FSAI&lt;/em&gt; and &lt;em&gt;FCAI&lt;/em&gt; allow to identify which micro-scale attributes of the sidewalks and crosswalks present the most concerning physical conditions within a given area, as well as which pedestrian routes need to be improved with more urgency, collaborating with urban planning focused on accessible pedest","PeriodicalId":46989,"journal":{"name":"Case Studies on Transport Policy","volume":"21 ","pages":"Article 101534"},"PeriodicalIF":2.4,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144307253","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":"Understanding the spatiotemporal dynamics of ride-hailing services: A study of demand and supply patterns using a large-scale driver activity dataset","authors":"Shuoyan Xu ,&nbsp;Nael Alsaleh ,&nbsp;Timur Hamzaev ,&nbsp;Eric J. Miller","doi":"10.1016/j.cstp.2025.101533","DOIUrl":"10.1016/j.cstp.2025.101533","url":null,"abstract":"<div><div>As ride-hailing services have significantly changed the transportation landscape, understanding their operations becomes crucial for efficient urban planning and policymaking. Despite the growing number of studies on ride-hailing services, there is a significant research gap in exploring supply-side characteristics at granular spatiotemporal scales due to data limitations. This paper comprehensively analyzes spatiotemporal patterns of ride-hailing services from the demand, supply, and interactions perspectives. The study uses a comprehensive dataset comprising both driver activity data and trip order data from all ride-hailing platforms in the City of Toronto. Several key system performance indicators are examined using the large-scale platform dataset, including passenger wait time, driver wait time, trip confirmation time, pickup delay, demand–supply ratio, idle distance ratio, and active trip time ratio. Statistical analyses including t-tests and Moran’s <em>I</em> index have been used to quantify temporal and spatial variations. The analysis reveals significant temporal and spatial heterogeneity in ride-hailing characteristics, which suggests the need for targeted policies and planning for effective urban transportation. In addition, this study conducts a Pearson correlation analysis to quantify the correlation between ride-hailing performance and aggregated socioeconomic characteristics. These insights can inform efficient fleet management strategies, facilitate dynamic pricing decisions, and enable ride-hailing companies to enhance service quality.</div></div>","PeriodicalId":46989,"journal":{"name":"Case Studies on Transport Policy","volume":"21 ","pages":"Article 101533"},"PeriodicalIF":2.4,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144570389","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":"Evaluation of Equivalent Property Damage Only (EPDO) weight sets for hotspot identification: A case study on Korean expressways","authors":"Jeongin Yun ,&nbsp;Sanggyu Kim ,&nbsp;Ducknyung Kim ,&nbsp;Jinwoo Lee","doi":"10.1016/j.cstp.2025.101531","DOIUrl":"10.1016/j.cstp.2025.101531","url":null,"abstract":"<div><div>The Equivalent Property Damage Only (EPDO) method, which assigns weights to different crash severities: fatal, severe injury, minor injury, and Property Damage Only (PDO) crashes, is widely used for hotspot identification. Determining appropriate EPDO weight sets is crucial, since incorrectly specified weight sets can misidentify hotspots and undermine safety interventions. However, existing EPDO weight sets are largely crash-cost-based or internally determined ratios, lacking empirical validation. To fill this gap, this study proposes a data-driven framework that systematically generates and evaluates EPDO weight sets using Korean expressway crash data. For multiple EPDO weight sets, we identify the top 1% to 10% of hotspots for each weight set using these data. The performance of the EPDO weight sets is evaluated by examining the numbers of (i) fatal, (ii) non-PDO (i.e., including fatal and injury crashes), and (iii) total crashes that occurred at those hotspots in the subsequent year. Based on these three criteria, we derive Pareto EPDO weight sets. The results indicate that assigning higher weights to non-PDO compared to PDO crashes, using weights smaller than typical cost-based values, leads to more accurate identification of hotspots in terms of both fatal and casualty crashes. Conversely, assigning identical weights across severities best predicts total crashes. This framework enables practitioners and policymakers to recalibrate EPDO weight sets to local conditions, improving the allocation of limited safety resources.</div></div>","PeriodicalId":46989,"journal":{"name":"Case Studies on Transport Policy","volume":"21 ","pages":"Article 101531"},"PeriodicalIF":2.4,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144501406","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":"Using synthetic control to assess the impact of light rail transit on neighborhood demographics: A case study of Charlotte’s South End","authors":"Rory Renzy,&nbsp;Mary Catherine Artzer","doi":"10.1016/j.cstp.2025.101532","DOIUrl":"10.1016/j.cstp.2025.101532","url":null,"abstract":"<div><div>Charlotte, North Carolina is one of the fastest growing regions in the country. Its growth in population and industry has led to an increasingly sprawling cityscape, generating urban issues associated with car dependence. To provide transportation alternatives, the regional transit authority opened the LYNX Blue Line in late 2007, the first of two public transit lines that cross the city. Using publicly available Census data and a synthetic control approach, we assess demographic compositional change in South End, a popular “live-work- play” area that has been a focus of transit-oriented development since the Blue Line’s opening. We find that South End experienced an increase in young, high income, and professional services workers, while it also experienced a decrease in low-income workers relative to expectations from non-treated synthetic controls. Results are lagged, suggesting that development surrounding station build-outs played a significant role in driving the observed demographic shifts within the neighborhood. This work helps to understand the step-by-step connections between transit investment, associated residential and commercial development, and demographic change at the neighborhood level.</div></div>","PeriodicalId":46989,"journal":{"name":"Case Studies on Transport Policy","volume":"21 ","pages":"Article 101532"},"PeriodicalIF":2.4,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144307252","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}