Case Studies on Transport Policy最新文献_第7页

What drives workers to be heavily reliant on cars in commuting to workplaces? Investigations of commute behaviour in Melbourne 是什么驱使工人们严重依赖汽车上下班？墨尔本通勤行为调查

IF 3.3 Q3 TRANSPORTATION

Case Studies on Transport Policy

Pub Date : 2026-03-01 Epub Date: 2025-12-02 DOI: 10.1016/j.cstp.2025.101679

Fadhlullah Apriandy , Sugiarto Sugiarto , Yusria Darma , Irsan Bahrumy

As the largest proportion of weekdays trips in Melbourne, Australia, work commutes, even in short distance, are predominantly attributed to cars. This study aims to investigate as to why Melbourne residents are heavily reliant on cars in commuting to workplaces. To better understand variations of car dependencies across different parts of the city and commute distances, this study divides Melbourne into three regions namely inner, middle, and outer Melbourne and set boundaries of commute distances to walkable (≤ 2.5 km), bikeable (2.5 to 15 km), and long (≥ 15 km). Multinomial Logistic models were utilized to explore the Victorian Integrated Survey of Travel and Activity (VISTA) data that contains travel, socio-demographic, and built environment factors. Variables were found to exhibit varying impacts on work commute behaviours across regions and distances. Overall, possessing a car license is associated with car uses across all distances. In walkable distance commutes, a km increase in commute distance significantly increases the likelihood of using cars. Inner Melbourne residents exhibit the tendency of using car in bikeable and long-distance commutes with the increasing number of cars owned. The findings of this study could help stakeholders in developing interventions to mitigate car dependency in work commutes.

作为澳大利亚墨尔本工作日出行比例最大的城市，即使距离很近，上班通勤也以汽车为主。这项研究的目的是调查为什么墨尔本居民严重依赖汽车通勤到工作场所。为了更好地了解城市不同地区和通勤距离的汽车依赖变化，本研究将墨尔本分为内、中、外三个区域，并将通勤距离划分为步行（≤2.5公里）、骑自行车（2.5至15公里）和长途（≥15公里）。使用多项Logistic模型来探索维多利亚旅行和活动综合调查（VISTA）数据，其中包含旅行，社会人口统计和建筑环境因素。研究发现，不同地区和距离的变量对工作通勤行为的影响是不同的。总的来说，拥有汽车执照与所有距离的汽车使用有关。在步行距离通勤中，通勤距离每增加一公里，使用汽车的可能性就会显著增加。随着汽车拥有量的增加，内墨尔本居民在骑自行车和长途通勤中表现出使用汽车的趋势。这项研究的发现可以帮助利益相关者制定干预措施，以减轻工作通勤中的汽车依赖。

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Efficiency measurement and cluster analysis of urban bike-sharing systems under sustainable development: a multi-dimensional study of 20 Chinese cities 可持续发展下城市共享单车系统效率测度与聚类分析——基于中国20个城市的多维度研究

IF 3.3 Q3 TRANSPORTATION

Case Studies on Transport Policy

Pub Date : 2026-03-01 Epub Date: 2025-12-13 DOI: 10.1016/j.cstp.2025.101685

Yi Ding , Tong Ding

With the rapid expansion of bike-sharing systems worldwide, marked disparities exist in their operational efficiency and sustainability across regions. To explore these disparities and advance sustainable urban transportation, this study uses China’s bike-sharing market as the study context and develops a cross-city, multi-dimensional efficiency comparison framework. Seven indicators were selected from three dimensions—resource input, service quality, and social benefits—and a Data Envelopment Analysis model was employed to evaluate the overall efficiency of bike-sharing systems in 20 cities. The results reveal significant intercity differences, where some cities achieve a “low-input–high-efficiency” balance, while others exhibit a “high-input–low-output” structural imbalance. Furthermore, K-means clustering is employed to classify the cities into three groups, and the features of each cluster are analyzed in terms of overall efficiency, input level, and riding intensity. Finally, the influence of geographical factors was examined, and the findings indicate that latitude is positively correlated with efficiency but negatively correlated with bike density and bicycle lane density, thereby revealing a spatial gradient in system performance between northern and southern cities. The cross-city multidimensional evaluation framework established in this study provides experience and basis for enhancing the efficiency of bike-sharing systems and advancing differentiated urban transport governance.

随着共享单车系统在全球范围内的迅速扩张，其运营效率和可持续性在不同地区之间存在明显差异。本研究以中国共享单车市场为研究背景，构建了一个跨城市、多维度的效率比较框架，以探索这些差异，促进城市交通可持续发展。从资源投入、服务质量和社会效益三个维度中选取7个指标，采用数据包络分析模型对20个城市共享单车系统的整体效率进行了评价。结果表明，城市间存在显著差异，部分城市呈现“低投入-高效率”的结构失衡，部分城市呈现“高投入-低产出”的结构失衡。采用K-means聚类方法将城市划分为三类，并从整体效率、投入水平和骑行强度三个方面分析每一类城市的特征。结果表明，纬度与效率呈正相关，而与自行车密度和车道密度呈负相关，从而揭示了南北城市系统性能的空间梯度。本研究建立的跨城市多维评价框架为提升共享单车系统效率，推进城市交通差别化治理提供了经验和依据。

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引用次数: 0

Decarbonisation potential in the automotive sector through an extension of dematerialization theory 通过非物质化理论的延伸，汽车行业的脱碳潜力

IF 3.3 Q3 TRANSPORTATION

Case Studies on Transport Policy

Pub Date : 2026-03-01 Epub Date: 2025-12-31 DOI: 10.1016/j.cstp.2025.101702

Javier Alarcón

A new extension of dematerialization theory is presented to define depollution conditions. The model explicitly considers the carbon-saving performance of replacing conventional combustion-engine vehicles by electric vehicles –not only in the use phase, but also in production and scrapping–, the penetration rate, the car fleet and mileage over time, and the potential rebound effect. Using this model, decarbonisation scenarios are envisioned for the electrification of passenger cars in Spain. The findings suggest that, while vehicle electrification can be seen as the main driver for achieving decarbonisation goals in road transport, certain limitations on car use and on the purchase of new vehicles would help significantly.

提出了一种新的非物质化理论的扩展来定义去污染条件。该模型明确考虑了电动汽车取代传统内燃机汽车的碳减排性能——不仅在使用阶段，而且在生产和报废阶段——普及率、车队和里程随着时间的推移，以及潜在的反弹效应。使用这一模型，脱碳情景设想为乘用车电气化在西班牙。研究结果表明，虽然汽车电气化可以被视为实现道路运输脱碳目标的主要动力，但对汽车使用和购买新车的某些限制将起到很大作用。

引用次数: 0

Corrigendum to “Peer-to-peer carsharing as a digital mobility innovation: Market potential and policy implications in Italy” [Case Stud. Transp. Policy 23 (2026) 101672] “点对点汽车共享作为数字移动创新：意大利的市场潜力和政策影响”的勘误表[案例研究]。透明。政策23 (2026)101672]

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Case Studies on Transport Policy

Pub Date : 2026-03-01 Epub Date: 2026-01-27 DOI: 10.1016/j.cstp.2026.101724

Angela Stefania Bergantino , Romeo Danielis , Mario Intini , Chiara Ricchetti , Lucia Rotaris , Mariangela Scorrano

引用次数: 0

Evaluating transportation’s role in logistics center site selection via AHP: case study of Eastern Black Sea, Turkey 运用层次分析法评价交通运输在物流中心选址中的作用：以土耳其东黑海为例

IF 3.3 Q3 TRANSPORTATION

Case Studies on Transport Policy

Pub Date : 2026-03-01 Epub Date: 2025-11-12 DOI: 10.1016/j.cstp.2025.101658

Göknur Berber Narin , Muhammet Vefa Akpınar

Logistics is defined as the process of facilitating the transfer of information, materials, and products between producers and end consumers through the supply chain. The COVID-19 pandemic has further amplified interest in this sector, as people seek to meet their needs with minimal energy and time. This growing demand underscores the transportation factor, which serves as the most crucial link in logistics services.

Although Turkey entered the logistics sector later than its European counterparts, it has been making continuous advancements. In particular, investments in transportation modes and infrastructure have significantly accelerated the sector’s development. However, an assessment of Turkey’s regions reveals a deficiency in logistics centers within the Eastern Black Sea Region.

To address this gap, this study examines Trabzon’s potential to become a logistics center by ranking the provinces of the Eastern Black Sea Region based on transportation priorities using the AHP method. The study first identifies key criteria that enhance logistics efficiency and assigns weights to them. The findings highlight transportation as the most influential factor, scoring 2.096 points, followed by foreign trade (0.935 points), industry (0.910 points), and population (0.277 points).

Additionally, among the provinces in the region, Trabzon ranks highest in terms of priority for establishing a logistics center, with 0.300 points, followed by Giresun (0.213 points), Rize (0.159 points), Artvin (0.114 points), Gumushane (0.103 points), and Bayburt (0.07 points). These results emphasize Trabzon’s strategic advantage and its potential as a regional logistics hub.

物流被定义为通过供应链在生产者和最终消费者之间促进信息、材料和产品转移的过程。COVID-19大流行进一步增强了人们对这一部门的兴趣，因为人们寻求以最少的精力和时间满足自己的需求。这种不断增长的需求强调了运输因素，这是物流服务中最关键的环节。虽然土耳其进入物流业的时间比欧洲国家晚，但它一直在不断进步。特别是，对运输方式和基础设施的投资大大加快了该部门的发展。然而，对土耳其地区的评估显示，东黑海地区的物流中心不足。为了解决这一差距，本研究通过使用AHP方法根据运输优先级对东黑海地区的省份进行排名，研究了特拉布松成为物流中心的潜力。该研究首先确定了提高物流效率的关键标准，并对其进行了权重分配。结果显示，交通是影响最大的因素，得分为2.096分，其次是对外贸易（0.935分）、产业（0.910分）、人口（0.277分）。此外，在该地区的各道中，特拉布宗（0.300分）是建立物流中心的优先级最高的地方，其后依次是吉烈松（0.213分）、日泽（0.159分）、阿尔文（0.114分）、古木山（0.103分）、贝伯特（0.07分）。这些结果强调了特拉布宗的战略优势及其作为区域物流中心的潜力。

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引用次数: 0

Environmental awareness and infrastructure – A path to sustainable transport in Central and Eastern European Countries 环境意识和基础设施——中欧和东欧国家通往可持续交通的道路

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Case Studies on Transport Policy

Pub Date : 2026-03-01 Epub Date: 2025-12-04 DOI: 10.1016/j.cstp.2025.101675

Agata Kliber , Blanka Łęt , Pavel Řezáč , Barbara Będowska-Sójka , Jindřich Frič

Reducing the use of combustion cars is one of the crucial aspects of the current environmental policy of the European Union. This article analyses how environmental awareness and the perceived quality of public transport and cycling infrastructure influence daily mobility mode choice in the Visegrad Group economies. We collected the data through surveys run in these countries from December 2023 to January 2024. We estimated a multilogit model with latent attitudinal variables. We demonstrate that ecological awareness is one of the key factors influencing consumers’ decisions about choosing transport modes other than a car. However, commuting remains predominantly car-based in all countries studied. Our results suggest that, when planning infrastructure that will encourage residents to use sustainable transport, decision-makers should prioritise creating good public transport connections with shopping centres, while cycling infrastructure should be linked to workplace and school locations.

减少内燃机汽车的使用是欧盟当前环境政策的关键方面之一。本文分析了环境意识、公共交通和自行车基础设施的感知质量如何影响维谢格拉德集团经济体的日常出行方式选择。我们通过从2023年12月到2024年1月在这些国家进行的调查收集数据。我们估计了一个具有潜在态度变量的多重logit模型。研究表明，生态意识是影响消费者选择汽车以外交通方式的关键因素之一。然而，在所研究的所有国家中，通勤仍然以汽车为主。我们的研究结果表明，在规划鼓励居民使用可持续交通的基础设施时，决策者应优先考虑与购物中心建立良好的公共交通连接，而自行车基础设施应与工作场所和学校地点联系起来。

引用次数: 0

Scooting Right Along: Gender and Attitudes Toward Shared E-Scooters Among U.S. University Students 正确的滑板车：美国大学生对共享电动滑板车的性别和态度

IF 3.3 Q3 TRANSPORTATION

Case Studies on Transport Policy

Pub Date : 2026-03-01 Epub Date: 2026-01-31 DOI: 10.1016/j.cstp.2026.101734

Julene Paul, Tongbin Qu

As a relatively new form of mobility, shared e-scooters have attracted attention from researchers and policymakers alike. Understanding the lasting value of e-scooters, however, requires knowledge of how different groups view and value e-scooters and other emerging technologies. While some researchers have examined orientations toward e-scooters, it remains unclear whether attitudes differ significantly by gender. Further, while researchers have documented unique relationships between university environments, active travel, and early adoption of new technologies, few studies have examined how university campus travelers perceive and use e-scooters. To address these issues, we surveyed students at a large public university in the Midwestern region of the United States. We examine differences in mode replacement, deterrents to e-scooter use, and orientation toward e-scooters versus other emerging technologies like e-bikes and autonomous vehicles. First, we find that male students used e-scooters more often than female students. Among e-scooter users, female university students were more likely to use an e-scooter as a replacement for the campus bus, while male students were more likely to replace bicycling trips. For both genders, major deterrents to e-scooter use were financial cost and limited e-scooter availability. However, female students were more strongly deterred by bad weather and steep roads. Finally, compared to female e-scooter riders, male ones had more positive orientations toward e-bikes. We argue that policies to facilitate campus e-scooter use should account for unique gendered attitudes toward emerging modes, including other documented differences in active travel.

作为一种相对较新的出行方式，共享电动滑板车已经引起了研究人员和政策制定者的关注。然而，要理解电动滑板车的持久价值，需要了解不同群体如何看待和重视电动滑板车和其他新兴技术。虽然一些研究人员已经调查了人们对电动滑板车的态度，但尚不清楚性别之间的态度是否存在显著差异。此外，虽然研究人员已经记录了大学环境、主动出行和早期采用新技术之间的独特关系，但很少有研究调查大学校园旅行者如何看待和使用电动滑板车。为了解决这些问题，我们调查了美国中西部地区一所大型公立大学的学生。我们研究了模式替换的差异，对电动滑板车使用的阻碍，以及对电动滑板车与其他新兴技术（如电动自行车和自动驾驶汽车）的定位。首先，我们发现男生使用电动滑板车的频率高于女生。在电动滑板车的使用者中，女大学生更倾向于用电动滑板车来代替校园巴士，而男大学生更倾向于用电动滑板车来代替自行车出行。对于男女来说，阻碍电动滑板车使用的主要因素是经济成本和有限的电动滑板车可用性。然而，恶劣的天气和陡峭的道路更让女学生望而却步。最后，与女性相比，男性对电动自行车的倾向更积极。我们认为，促进校园电动滑板车使用的政策应该考虑到对新兴模式的独特性别态度，包括其他记录在案的主动出行差异。

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引用次数: 0

The role of container port traffic, global value chains participation and logistics performance in Tunisia’s inclusive growth: evidence from quantile on quantile regression and hybrid quantile causality analysis 集装箱港口运输量、全球价值链参与和物流绩效在突尼斯包容性增长中的作用：分位数对分位数回归和混合分位数因果分析的证据

IF 3.3 Q3 TRANSPORTATION

Case Studies on Transport Policy

Pub Date : 2026-03-01 Epub Date: 2026-02-02 DOI: 10.1016/j.cstp.2026.101727

Manel Ouni , Rafaa Mraihi

Maritime transport serves as a strategic foundation for international trade and economic development, providing essential channels for the efficient movement of goods across global markets. As trade volumes expand, maritime container transport emerges as a key driver of economic growth, job creation, and inclusive growth. Moreover, improved logistics performance and the integration of global value chains (GVCs) enhance maritime transport capacity to drive economic competitiveness and long-term prosperity. This study investigates the effects of container port traffic, GVC participation, and logistics performance on inclusive growth in Tunisia from 1990 to 2020. To ensure the reliability of the findings, the study adopts an advanced three-stage methodology that combines quantile-on-quantile regression, wavelet analysis, and hybrid quantile causality. The results reveal a significant positive impact of container port traffic, GVC participation and logistics performance on inclusive growth across various levels of economic development. Moreover, the quantile causality analysis in mean and variance confirms that these variables serve as essential determinants of inclusive growth across all quantiles of the distribution. The robustness of these findings is reinforced by the frequency domain causality test. This study recommends strategic investments in port infrastructure, expanded trade logistics, and the strengthening of international trade partnerships to improve Tunisia’s global competitiveness and accelerate its transition to inclusive growth.

海运是国际贸易和经济发展的战略基础，为货物在全球市场上的有效流动提供了重要渠道。随着贸易量的扩大，海上集装箱运输成为经济增长、创造就业和包容性增长的关键驱动力。此外，物流绩效的改善和全球价值链的整合提高了海上运输能力，从而推动经济竞争力和长期繁荣。本文研究了1990 - 2020年突尼斯集装箱港口运输量、全球价值链参与和物流绩效对包容性增长的影响。为了确保研究结果的可靠性，本研究采用了先进的三阶段方法，结合了分位数对分位数回归、小波分析和混合分位数因果关系。结果表明，集装箱港口运输量、全球价值链参与和物流绩效对不同经济发展水平的包容性增长具有显著的正向影响。此外，均值和方差的分位数因果关系分析证实，这些变量是分布中所有分位数的包容性增长的重要决定因素。这些发现的稳健性是由频域因果检验加强。本研究建议对港口基础设施进行战略投资，扩大贸易物流，加强国际贸易伙伴关系，以提高突尼斯的全球竞争力，加速其向包容性增长的过渡。

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引用次数: 0

Post-COVID-19 recovery and resilience in passenger and cargo traffic: A Bayesian vector autoregressive analysis of India’s top 10 busiest airports 2019冠状病毒病后客货交通的恢复和弹性：对印度十大最繁忙机场的贝叶斯向量自回归分析

IF 3.3 Q3 TRANSPORTATION

Case Studies on Transport Policy

Pub Date : 2026-03-01 Epub Date: 2026-01-31 DOI: 10.1016/j.cstp.2026.101736

Ajai Jayathilakan , Thanh Ngo , Wai Hong Kan Tsui , Nives Botica Redmayne , Faruk Balli , Xiaowen Fu

This study examines the post-COVID-19 resilience of India’s ten busiest airports using passenger and cargo traffic data from 2016 to 2024. A Bayesian vector autoregression (BVAR) model generates counterfactual forecasts, enabling a comparative assessment to classify airports as outperformers, forecast achievers, or underperformers. Beyond performance categorisation, the study investigates the role of airport infrastructure in shaping resilience outcomes through Spearman correlation and ordered logistic regression (OLOGIT) analysis. Results indicate that infrastructure attributes such as cargo terminal availability, runway capacity, and metro connectivity are significantly associated with higher resilience. Airports with stronger and more adaptive infrastructure recovered more effectively from pandemic disruptions. These findings offer actionable insights for infrastructure planning, crisis preparedness, and long-term policy strategies aligned with national initiatives such as the UDAN regional connectivity scheme.

本研究利用2016年至2024年的客货交通数据，考察了印度十大最繁忙机场在2019冠状病毒病后的应变能力。贝叶斯向量自回归（BVAR）模型生成反事实预测，使比较评估能够将机场分类为表现优异，预测成功或表现不佳。除了绩效分类之外，该研究还通过Spearman相关和有序逻辑回归（OLOGIT）分析调查了机场基础设施在塑造弹性结果方面的作用。结果表明，货运站可用性、跑道容量和地铁连通性等基础设施属性与更高的弹性显著相关。拥有更强大和更具适应性基础设施的机场更有效地从大流行中断中恢复过来。这些研究结果为基础设施规划、危机防范和与UDAN区域互联互通计划等国家倡议相一致的长期政策战略提供了可操作的见解。

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引用次数: 0

How concerned should we be about attracting never-riders to the bus? 我们应该多关心如何吸引从不乘坐公共汽车的人？

IF 3.3 Q3 TRANSPORTATION

Case Studies on Transport Policy

Pub Date : 2026-03-01 Epub Date: 2026-02-07 DOI: 10.1016/j.cstp.2026.101742

Devajyoti Deka , Chihuangji Wang

Transit agencies in the United States struggle to achieve a balance between the goals of ridership maximization and coverage maximization when providing bus service. Ridership maximization seeks to increase fare revenue by focusing on high-density areas, whereas coverage maximization seeks to increase transit availability for people in diverse places. Researchers often argue in favor of ridership maximization because it benefits transit’s reliable core riders, who are composed mostly of people with low income and no vehicles. That argument would be stronger if it could also be shown that the people who have never used transit (i.e., the never-riders) will not use transit even if service is made available. In that context, this study examines the never-riders’ potential for riding the bus by utilizing data from a survey of 1074 New Jersey residents. It uses descriptive statistics, binary logit models, and probability analysis. The results showed that about 75% of the never-riders never considered riding the bus. While work trips constitute an overwhelming majority of actual bus trips, never-riders think about the bus more as a travel mode for recreational activities than a work-trip mode. The never-riders have lower proximity to bus stops than current bus riders, but model results showed that even when they are given greater proximity, their low probability of riding the bus increases little. This research shows that transit agencies should be extremely cautious about extending bus service to neighborhoods predominantly inhabited by never-riders because their probability of riding could be very low.

美国的公共交通机构在提供公共汽车服务时，努力在客流量最大化和覆盖范围最大化之间取得平衡。客流量最大化是通过集中在人口密集的地区来增加票价收入，而覆盖最大化是为了增加不同地区人们的交通可用性。研究人员经常支持客流量最大化，因为这有利于公共交通可靠的核心乘客，他们大多是低收入和没有车辆的人。如果还能证明，那些从未使用过公共交通的人（即从不乘坐公共交通的人）即使提供了公共交通服务，也不会使用公共交通，那么这个论点就会更有力。在此背景下，本研究利用对1074名新泽西州居民的调查数据，调查了从不乘坐公共汽车的人的潜力。它使用描述性统计、二进制logit模型和概率分析。结果显示，大约75%的从不乘坐公交车的人从未考虑过乘坐公交车。虽然工作旅行在实际的公共汽车旅行中占绝大多数，但从不乘坐公共汽车的人更多地认为公共汽车是一种娱乐活动的旅行模式，而不是工作旅行模式。与现有的公交乘客相比，从不乘车的人离公交车站的距离更低，但模型结果显示，即使给他们更近的距离，他们乘坐公交的低概率也不会增加多少。这项研究表明，公共交通机构应该非常谨慎地将公共汽车服务扩展到主要由从不乘坐公共汽车的人居住的社区，因为他们乘坐公共汽车的可能性非常低。

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引用次数: 0