Case Studies on Transport Policy最新文献

{"title":"Standardising bicycling infrastructure terminology: A Delphi study of Australian experts","authors":"Scott N. Lieske ,&nbsp;Weichang Kong ,&nbsp;Richard J. Buning ,&nbsp;Dorina Pojani ,&nbsp;Simone Z. Leao","doi":"10.1016/j.cstp.2025.101682","DOIUrl":"10.1016/j.cstp.2025.101682","url":null,"abstract":"<div><div>In Australia and farther afield, there is an absence of ontology and great variation in terminology for bicycling infrastructure. Ambiguity and imprecision in bicycling infrastructure terminology inhibits communication, raises analytical challenges, restricts opportunities for comparisons across cities, and is a critical barrier to infrastructure provision as terminology ultimately determines what is built. This project presents steps toward the development of standardised bicycling infrastructure terminology in two major stages: 1) term identification from policy documents and, 2) term selection and weighting via a three round Delphi survey of expert input. Term identification found 113 terms that were used to describe 38 types of bicycling infrastructure. Through the Delphi survey an additional 13 types of infrastructure were added. Final Delphi survey results returned a single agreed upon term for 19 of 51 infrastructure types (37%). In addition, 25 of 51 infrastructure examples (49%) resulted in a highly rated term. This study provides governments, advocacy groups, academics, and private industry with a best practice guide to terminology for diverse types of cycling infrastructure.</div></div>","PeriodicalId":46989,"journal":{"name":"Case Studies on Transport Policy","volume":"23 ","pages":"Article 101682"},"PeriodicalIF":3.3,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145790121","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-criteria decision-making framework for ESG evaluation in the logistics industry","authors":"Yelda Inanc ,&nbsp;Ceren Altuntaş ,&nbsp;Gültekin Altuntaş","doi":"10.1016/j.cstp.2025.101701","DOIUrl":"10.1016/j.cstp.2025.101701","url":null,"abstract":"<div><div>This study assesses the sustainability performance of leading global logistics businesses, evaluating them based on environmental, social, and governance (ESG) criteria. The study analyzes 10 Fortune 500 logistics businesses with current ESG data. The study employs objective methods, such as CRITIC and ENTROPY, to weigh the criteria, while MARCOS and TOPSIS are used to rank the businesses. This tests the sensitivity of ESG performance to different methodological approaches, thereby increasing the reliability of the results. The findings show that emissions and environmental innovation criteria receive the highest weightings, while the workforce gets the lowest. Furthermore, the businesses’ rankings vary by method. In this case, some businesses demonstrate balanced and consistent performance across all metrics, while others excel only in specific areas. The study provides theoretical and practical insights into ESG performance in logistics, offering guidance for investors, businesses, policymakers, and researchers.</div></div>","PeriodicalId":46989,"journal":{"name":"Case Studies on Transport Policy","volume":"23 ","pages":"Article 101701"},"PeriodicalIF":3.3,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145883555","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 integrated framework for evaluating smart and sustainable port competitiveness: evidence from Vietnam","authors":"Phong Nha Nguyen ,&nbsp;Thi Yen Pham ,&nbsp;Giang Nguyen Thi Huong ,&nbsp;Chien Hoang Do","doi":"10.1016/j.cstp.2025.101670","DOIUrl":"10.1016/j.cstp.2025.101670","url":null,"abstract":"<div><div>This study proposes an integrated framework to evaluate the competitiveness of ten container terminals in Haiphong Port by combining both traditional and modern performance factors. Using the Entropy–TOPSIS method, the study objectively ranks terminal competitiveness based on criteria such as throughput, infrastructure, digitalization, and sustainability. Fuzzy C-Means clustering is employed to classify terminals into strategic groups, offering tailored policy implications for each group. Results show that terminals such as HITC, Nam Dinh Vu, and Tan Vu lead in both traditional and modernization scores, while others lag behind due to limitations in infrastructure and technology adoption. The model demonstrates that integrating smart and green metrics into port performance assessment offers a more comprehensive understanding of competitiveness. This approach provides a data-driven tool for port authorities and policymakers to prioritize investments and plan differentiated development strategies, especially in emerging economies facing digital transformation and environmental pressures.</div></div>","PeriodicalId":46989,"journal":{"name":"Case Studies on Transport Policy","volume":"23 ","pages":"Article 101670"},"PeriodicalIF":3.3,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145615686","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 the distributional impact of urban rail improvements: Logsum accessibility measures incorporating income class and household type","authors":"Yohei Naga ,&nbsp;Ryosuke Abe ,&nbsp;Hajriyanti Yatmar ,&nbsp;Ryoma Gouto","doi":"10.1016/j.cstp.2026.101708","DOIUrl":"10.1016/j.cstp.2026.101708","url":null,"abstract":"<div><div>Recent discussions on transportation project evaluation have increasingly emphasized the importance of incorporating equity considerations. This study developed a travel behavior model that incorporates individual attributes and empirically assessed the distributional impacts of urban rail improvement projects in the Tokyo metropolitan area. Travelers were classified in this area into 24 attributes based on four income classes and six household types, and we estimated mode choice models for home-to-work and home-to-private trips. These models were then used to calculate the logsum accessibility measures, to predict user benefits from urban rail projects completed in 2019 and 2023. Distributional analyses revealed that for home-to-work trips, the median user benefit increased with income, but the interquartile ranges remained similar across most income groups above two million JPY/year. For home-to-private trips, benefits are higher for households with only one or two workers or for higher-income groups, reflecting greater variation in travel behavior and the value of travel time.</div></div>","PeriodicalId":46989,"journal":{"name":"Case Studies on Transport Policy","volume":"23 ","pages":"Article 101708"},"PeriodicalIF":3.3,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145976474","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 multi-stage adaptation behavior under climate extremes: evidence from Bangladesh","authors":"Xin-Yu Zuo ,&nbsp;Qing-Chang Lu ,&nbsp;Peng-Cheng Xu ,&nbsp;Biao Xu ,&nbsp;Ying Jiang ,&nbsp;Junyi Zhang","doi":"10.1016/j.cstp.2026.101731","DOIUrl":"10.1016/j.cstp.2026.101731","url":null,"abstract":"<div><div>Adaptation behavior usually involves a dynamic learning and decision-making process over an extended multi-stage period. However, such a perspective has remained unexplored in existing studies. To address this gap, this study investigates multi-stage adaptive and intercity travel behavior in response to climate change. A life-oriented revealed preference-stated preference (RP-SP) survey was implemented across 1 4 regions of Bangladesh, one of the most climate-affected countries globally. A dynamic paired combinatorial logit model is developed to examine state dependence effects across three stages of disaster: before-disaster preparedness, during-disaster response, and future adaptation. The results indicate that adaptive behaviors evolve dynamically across different stages and are significantly influenced by prior experiences. Future adaptations exhibit state-dependent effects rooted in both before-disaster and during-disaster stages. Structural damage to housing increases the likelihood of changes in intercity travel destinations, while those whose quality of life is severely affected are more inclined to cancel their travel plans. Households with more female members tend to engage more in preventive preparedness behaviors before disasters, whereas male members play a dominant role in implementing protective measures such as house elevation during disasters.</div></div>","PeriodicalId":46989,"journal":{"name":"Case Studies on Transport Policy","volume":"23 ","pages":"Article 101731"},"PeriodicalIF":3.3,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146077280","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":"Transportation as the Vanguard—Dynamic evolution and spatial differentiation of local marine transportation policies in China","authors":"Caizhi Sun,&nbsp;Jing Gao,&nbsp;Zhenan Yang","doi":"10.1016/j.cstp.2026.101714","DOIUrl":"10.1016/j.cstp.2026.101714","url":null,"abstract":"<div><div>As a key driver of high-quality marine economic development, the maritime transport sector depends heavily on the role of local governments in policy design and implementation. This study examines maritime transport policies issued by local governments in China. Using analyses of policy quantity and intensity, LDA topic modeling, and policy instrument classification, we systematically analyze 1,685 policy documents from 11 coastal provincial-level regions. The study aims to identify the dynamic evolution and spatial differentiation of local maritime transport policies. The results reveal clear dynamic evolution patterns. First, over time, policy quantity and intensity follow a stepwise trajectory, progressing through four stages: embryonic, exploratory development, rapid development, and quality-optimization. Second, policy themes have shifted from an early focus on cargo transport and channel navigation toward safety supervision and pollution control, indicating a transition from extensive growth to sustainable governance. Third, although the use of policy instruments has increased, their structure remains imbalanced, characterized by strong environment-oriented, moderate supply-side support, and weak demand-side measures, with limited coordination and innovation. Distinct spatial differentiation patterns are also observed. Policy quantity and intensity show an uneven distribution, with strong concentration along the southeastern coast and weaker activity in northern and southern regions; the Yangtze River Delta and Pearl River Delta have emerged as major sources of policy innovation. Regional differences in economic development and resource endowments lead to divergent policy theme preferences. Across regions, policy instrument structures display a clear hierarchy—environment-oriented instruments dominate, followed by supply-side tools and then demand-side tools—suggesting that local governments prioritize regulatory frameworks and supervision in maritime transport governance. This study provides a methodological contribution to understanding the evolution of local maritime transport policies in China and offers practical insights for improving regional maritime transport governance.</div></div>","PeriodicalId":46989,"journal":{"name":"Case Studies on Transport Policy","volume":"23 ","pages":"Article 101714"},"PeriodicalIF":3.3,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146037375","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":"Territorial classification for mitigating socio-spatial inequalities in Fortaleza, Brazil: Advancing strategic LUTI planning towards a problem-oriented approach","authors":"Francelino Franco Leite de Matos Sousa ,&nbsp;Carlos Felipe Grangeiro Loureiro","doi":"10.1016/j.cstp.2025.101681","DOIUrl":"10.1016/j.cstp.2025.101681","url":null,"abstract":"<div><div>Strategically assessing accessibility inequalities in urban contexts is pivotal for the sustainable land use and transportation integrated (LUTI) planning paradigm. This work introduces an innovative territorial classification methodology, focusing on problems of socio-spatial accessibility inequalities, essential for informing strategic objectives in urban planning and defining areas where policies should be prioritized to mitigate such inequalities. Applied to the city of Fortaleza, Brazil, the proposed methodology measures accessibility levels using a utility-based logsum-type indicator calculated with socioeconomic/land-use data and travel impedances from the TRANUS model simulations for past, present, and future scenarios. The findings highlight a chronic imbalance in the spatial distribution of economic activities and low-income households, alongside an increasing reliance on motorized modes for commuting. Through the hierarchization of urban space, we identify areas with potential to accommodate vulnerable populations, zones where low-income residential occupation should be discouraged due to unacceptable job accessibility conditions, and areas requiring integrated land-use and transport policies to improve access to work activities. This approach not only underscores the importance of addressing socio-spatial inequalities in LUTI planning but also provides a methodological basis for negotiating planning objectives and prioritizing critical areas across the urban territory, promoting more equitable access to opportunities.</div></div>","PeriodicalId":46989,"journal":{"name":"Case Studies on Transport Policy","volume":"23 ","pages":"Article 101681"},"PeriodicalIF":3.3,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145736349","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-dimensional integrated development strategy for urban rail transit optimized via a carbon emission model driven by new quality productive forces","authors":"Feiyang Wang ,&nbsp;Wenwen Zhang ,&nbsp;Yuxin Chen ,&nbsp;Yi Li ,&nbsp;Jinzhou Bai","doi":"10.1016/j.cstp.2025.101664","DOIUrl":"10.1016/j.cstp.2025.101664","url":null,"abstract":"<div><div>Urban rail transit is an energy-intensive sector with substantial carbon emissions, particularly during its operational phase. Despite the rapid emergence of energy-saving technologies, the lack of systematic quantification of their carbon emission reduction efficiencies hinders comparative evaluation and informed decision-making. This study addresses this gap by developing a carbon emission calculation framework for key energy-saving technologies, incorporating an enhanced Bass diffusion model to forecast future emissions. A marginal abatement cost analysis and a Multi-Constraint Interior Point Method are further employed to formulate an optimized, multi-dimensional integrated strategy encompassing energy, vehicle, storage, and network systems. Results reveal that, in terms of carbon emission impact, the technologies rank as follows: Permanent Magnet Synchronous Motors (PMSM) traction systems, Regenerative Braking Systems (RBS), Life-Cycle Smart Environmental Control Systems (LCSMS), and various energy storage systems. While Flywheel Energy Storage (FES) technology and LCSMS initially exhibit high marginal abatement costs, these decline significantly before 2030. In contrast, Photovoltaic (PV) generation technology maintains the lowest marginal costs throughout. Investment optimization shows that the shares allocated to PV and LCSMS increase linearly, jointly approaching 85% by 2060. Consequently, investment in PV and LCSMS should be progressively scaled up to enhance carbon reduction performance. This study provides a theoretical basis for the formulation of urban rail transit policies and supports the achievement of the dual carbon strategy goals, holding significant theoretical and social value.</div></div>","PeriodicalId":46989,"journal":{"name":"Case Studies on Transport Policy","volume":"23 ","pages":"Article 101664"},"PeriodicalIF":3.3,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145569998","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":"Peer-to-peer carsharing as a digital mobility innovation: Market potential and policy implications in Italy","authors":"Angela Stefania Bergantino ,&nbsp;Romeo Danielis ,&nbsp;Mario Intini ,&nbsp;Chiara Ricchetti ,&nbsp;Lucia Rotaris ,&nbsp;Mariangela Scorrano","doi":"10.1016/j.cstp.2025.101672","DOIUrl":"10.1016/j.cstp.2025.101672","url":null,"abstract":"<div><div>This study explores the potential demand and supply of peer-to-peer car sharing in Italy, focusing on the factors influencing individuals’ willingness to rent out their vehicles or participate as renters. We collected stated preference data from two nationally representative samples, each consisting of approximately 4,000 individuals, and analyzed the data using discrete choice models with latent variables.</div><div>Our results reveal a significant asymmetry between supply and demand: car owners tend to be more skeptical and reluctant to engage in P2P car-sharing, primarily due to concerns about vehicle damage and disputes with renters, whereas renters are more motivated by perceived benefits, peer effects, and environmental sensitivity. The study also highlights that critical factors such as platform fees, insurance coverage, and the ease of vehicle access significantly shape users’ decisions.</div><div>Crucially, the study underscores the enabling role of digitalization, without which the peer-to-peer car sharing model would not be feasible. Digital platforms serve as the foundation for matching supply and demand, managing transactions, and facilitating trust through transparent pricing, identity verification, and service quality assurances. According to our results, enhancing these digital features, such as clear tariff structures, reliable user verification, and guarantees of vehicle condition, is essential to reducing perceived risks and increasing user confidence.</div><div>Importantly, the analysis also reveals that socio-demographic, psychological, and attitudinal characteristics, such as age, gender, education level, place of residence, risk perception, and sense of control, are key determinants of individuals’ willingness to participate, particularly under less favorable service conditions. These findings point to the importance of platform design and user segmentation in fostering wider participation in digitally enabled mobility solutions.</div></div>","PeriodicalId":46989,"journal":{"name":"Case Studies on Transport Policy","volume":"23 ","pages":"Article 101672"},"PeriodicalIF":3.3,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145615628","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":"Transport emissions and climate change: Which actions are the hardest?","authors":"E.O.D. Waygood ,&nbsp;Hamed Naseri ,&nbsp;Bobin Wang ,&nbsp;Jérôme Laviolette","doi":"10.1016/j.cstp.2025.101660","DOIUrl":"10.1016/j.cstp.2025.101660","url":null,"abstract":"<div><div>Climate change is a global challenge, making this a crucial time for altering human behaviors to mitigate its effects. This study investigates the difficulty or ease of different climate change-related behaviors, particularly those associated with transportation. To this end, the Rasch model is employed. This paper also intends to examine the link between those behaviors and a robust measure to evaluate individuals’ environmental behaviors and attitudes, called the Climate Change Stage of Change (CC-SoC). In this regard, a machine learning method ranks various climate change-related behaviors according to their influence on CC-SoC. The findings indicate that transport-based actions are generally among the most challenging to change, with living without a vehicle being the most difficult. Avoiding long-haul flights, using an electric vehicle, and riding an electric-assist bicycle were within the top five determinants of CC-SoC, indicating the strong influence of transport-related behaviors on climate change. The findings of this study are critical for informing transport policy, since they help identify which behavioral shifts are most impactful yet most resistant to change, allowing for more targeted and effective interventions.</div></div>","PeriodicalId":46989,"journal":{"name":"Case Studies on Transport Policy","volume":"23 ","pages":"Article 101660"},"PeriodicalIF":3.3,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145615630","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}