Research in Transportation Economics最新文献_第10页

Logistics, energy, and inflation in trade-dependent economies: A political economy of shock transmission across maritime supply chains 贸易依赖型经济体中的物流、能源和通货膨胀：海上供应链冲击传导的政治经济学

IF 3.4 3区工程技术 Q1 ECONOMICS

Research in Transportation Economics

Pub Date : 2025-09-23 DOI: 10.1016/j.retrec.2025.101642

Savaş Tarkun

This study examines how external price shocks originating in global energy markets (Brent and Dubai oil) and maritime freight systems (BDTI and BCTI) are transmitted to consumer price indices (CPI) in four economies of the Global South: China, India, South Korea, and Saudi Arabia. Using a time–frequency connectedness framework, the analysis captures the evolving intensity and directionality of inflationary spillovers across short, medium, and long-term horizons. The findings reveal that freight indices not only mediate energy shocks but increasingly act as independent inflationary forces—suggesting the emergence of logistics infrastructures as systemic amplifiers of global price volatility. The analysis shows that energy-importing economies such as China and South Korea are persistently exposed to externally induced price instability, particularly in economies with high energy-import dependence such as China and South Korea, though the categorization does not imply a uniform geopolitical or developmental status. These results challenge domestic-centered views of inflation and underscore the need for a structural understanding of global price formation that accounts for trade dependence, transport asymmetries, and geopolitical exposure.

本研究考察了源自全球能源市场（布伦特和迪拜石油）和海运系统（BDTI和BCTI）的外部价格冲击如何传导到全球南方四个经济体（中国、印度、韩国和沙特阿拉伯）的消费者价格指数（CPI）。该分析利用时-频连通性框架，捕捉了通胀溢出效应在短期、中期和长期范围内不断变化的强度和方向性。研究结果表明，货运指数不仅可以调节能源冲击，而且越来越多地成为独立的通胀力量，这表明物流基础设施的出现是全球价格波动的系统性放大器。分析表明，能源进口经济体，如中国和韩国，持续暴露于外部引起的价格不稳定，特别是在能源进口高度依赖的经济体，如中国和韩国，尽管分类并不意味着统一的地缘政治或发展地位。这些结果挑战了以国内为中心的通货膨胀观点，并强调需要对全球价格形成进行结构性理解，以解释贸易依赖、运输不对称和地缘政治风险。

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引用次数: 0

Eliciting consumer preferences for used vehicle e-commerce platforms: A discrete choice experiment approach 引出消费者对二手车电子商务平台的偏好：一个离散选择实验方法

IF 3.4 3区工程技术 Q1 ECONOMICS

Research in Transportation Economics

Pub Date : 2025-09-22 DOI: 10.1016/j.retrec.2025.101641

Xiao Fu , Wentao Kang , Haoluan Wang , Xianru Han

The market for used vehicles has grown rapidly worldwide. However, information asymmetries and a lack of quality guarantees negatively influence consumer participation in this market. In this study, we conduct an online survey with discrete choice experiments to elicit consumer preferences for e-commerce platforms aimed at facilitating used vehicle transactions in China. Our experimental design includes a suite of attributes that are representative of current e-commerce platforms for used vehicles, covering the type of sellers, the provision of multiple essential services (e.g., loan, insurance, and inspection), and service fees charged by platforms when transactions occur. Estimating mixed logit models using our survey data, we find that providing information on the available services alone does not significantly affect consumers' choice of e-commerce platforms for used vehicles. However, respondents substantially value additional services offered by the platform and are willing to pay extra service fees, especially for inspection services. Our results provide new evidence on how consumers perceive e-commerce platforms for used vehicles and highlight the importance of inspections in consumers’ decisions on purchasing used vehicles through e-commerce platforms.

二手车市场在世界范围内迅速增长。然而，信息不对称和缺乏质量保证对消费者参与这个市场产生了负面影响。在这项研究中，我们通过离散选择实验进行在线调查，以了解消费者对旨在促进中国二手车交易的电子商务平台的偏好。我们的实验设计包括一套代表当前二手车电子商务平台的属性，涵盖卖家类型、提供多种基本服务（如贷款、保险和检验）以及交易发生时平台收取的服务费。使用我们的调查数据估计混合logit模型，我们发现单独提供可用服务的信息并不会显著影响消费者对二手车电子商务平台的选择。然而，受访者非常重视平台提供的额外服务，并愿意支付额外的服务费，特别是检查服务。我们的研究结果为消费者如何看待二手车电子商务平台提供了新的证据，并强调了检查在消费者通过电子商务平台购买二手车决策中的重要性。

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引用次数: 0

Driving change: Lessons on electrification within the modernization of jeepneys in the Philippines 推动变革：菲律宾吉普尼现代化中的电气化经验教训

IF 3.4 3区工程技术 Q1 ECONOMICS

Research in Transportation Economics

Pub Date : 2025-09-17 DOI: 10.1016/j.retrec.2025.101638

Sandy Mae Gaspay , Arse John Salison , Varsolo Sunio , Thomas Stringer

This paper investigates the adoption and operational challenges of electric jeepneys (E-jeepneys) within the framework of the Philippine Public Utility Vehicle Modernization Program (PUVMP). Through qualitative case studies of 4 jeepney entities, the study explores primary motivations, business models, and challenges encountered during the transition from traditional to E-jeepneys. Key findings emphasize the important role of government subsidies, alternative financing schemes, and local government support in facilitating vehicle acquisition, route planning, and smooth operations. Operational benefits, such as reduced costs and enhanced service capabilities through cooperative alliances, are identified as critical factors contributing to the successful adoption of E-jeepneys. However, challenges remain in infrastructure development, operational sustainability, and regulatory alignment across diverse localities. The study underscores the importance of tailored policies, robust infrastructure investments, and sustainable business models to support ongoing transport modernization efforts. These insights may guide policymakers and stakeholders navigating similar initiatives globally.

本文调查了菲律宾公共事业车辆现代化计划（PUVMP）框架内电动吉普尼（E-jeepneys）的采用和运营挑战。通过对4个吉普尼实体的定性案例研究，本研究探讨了从传统吉普尼向电动吉普尼过渡的主要动机、商业模式以及遇到的挑战。主要研究结果强调了政府补贴、替代融资方案和地方政府支持在促进车辆购置、路线规划和顺利运营方面的重要作用。运营效益，如通过合作联盟降低成本和增强服务能力，被认为是成功采用e -jeepney的关键因素。然而，在基础设施建设、运营可持续性和各地监管协调方面仍存在挑战。该研究强调了有针对性的政策、稳健的基础设施投资和可持续的商业模式对支持正在进行的交通现代化工作的重要性。这些见解可以指导决策者和利益相关者在全球范围内开展类似的举措。

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引用次数: 0

Value of travel time savings for children: an analysis of questionnaire surveys in Japan 为儿童节省旅行时间的价值：日本问卷调查的分析

IF 3.4 3区工程技术 Q1 ECONOMICS

Research in Transportation Economics

Pub Date : 2025-09-16 DOI: 10.1016/j.retrec.2025.101634

Kiyohito Utsunomiya

The value of travel time savings (VTTS) is a critical parameter for estimating the social benefits of transport projects. However, only a few studies have focused on VTTS for children. We conducted two questionnaire surveys in Japan: a nationwide web-based survey and a mail-based survey in the regional city of Hitachinaka, where a new railway station was built in front of a school. Respondents were asked to compare VTTS for children with that for adults. In the nationwide survey, many participants stated that VTTS for children was similar to that for adults. However, in Hitachinaka, most respondents perceived VTTS for elementary school students to be higher than that for adults. Even in the nationwide survey, responses indicating that VTTS for children is ‘higher than for adults’ outnumbered those indicating it is ‘lower’ or of ‘little value’. The key reasons cited included parental concerns for safety during travel and children's higher absorptive potential. These findings suggest that current evaluations may underestimate the benefits of reducing children's travel time, potentially distorting public transportation investment decisions.

出行时间节约值（VTTS）是评估交通项目社会效益的关键参数。然而，只有少数研究关注儿童的VTTS。我们在日本进行了两项问卷调查：一项是全国性的网络调查，另一项是在日中市进行的邮件调查，日中市在一所学校前面建了一个新的火车站。受访者被要求比较儿童和成人的VTTS。在全国范围内的调查中，许多参与者表示，儿童的VTTS与成人相似。然而，在日中，大多数受访者认为小学生的VTTS高于成人。即使在全国范围内的调查中，认为儿童的VTTS“高于成人”的回答也超过了认为它“较低”或“价值不大”的回答。他们提到的主要原因包括父母对旅行安全的担忧以及儿童更高的吸收潜力。这些发现表明，目前的评估可能低估了减少儿童出行时间的好处，可能会扭曲公共交通投资决策。

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引用次数: 0

Crowdshipping preferences among public transit riders: Insights from Stockholm, Sweden 公共交通乘客的众包偏好：来自瑞典斯德哥尔摩的见解

IF 3.4 3区工程技术 Q1 ECONOMICS

Research in Transportation Economics

Pub Date : 2025-09-16 DOI: 10.1016/j.retrec.2025.101635

Qian Wang, Michele D. Simoni

Crowdshipping has grown in popularity as a sharing economy model, but ensuring its sustainability remains a challenge. This study explores how public transit riders can be engaged in crowdshipping services to avoid generating additional motorized traffic. The propensity of public transit users to participate in crowdshipping and their responses to alternative task attributes are explored through an in-person survey conducted at selected subway stations in Stockholm. The influence of different socio-demographic factors and trip features on the propensity for participation is examined using statistical analysis and regression models. To quantify the trade-offs among required detours, compensation, and parcel weight when accepting crowdshipping tasks, alternative discrete choice models are investigated. The results reveal that factors such as age, employment, and income, along with trip characteristics, significantly affect participation propensity. The estimated willingness to work as a crowdshipper aligns with previous studies showing that age and income level were important factors. A latent class model further reveals a clear division between two groups: one younger, lower income group with higher willingness to work, and another older, higher-income group with lower willingness. As a result, dedicated strategies need to be considered by future crowdshipping service providers and policymakers.

众筹作为一种共享经济模式越来越受欢迎，但确保其可持续性仍然是一个挑战。本研究探讨了公共交通乘客如何参与众包服务，以避免产生额外的机动交通。通过在斯德哥尔摩选定的地铁站进行的面对面调查，探讨了公共交通用户参与众包的倾向以及他们对替代任务属性的反应。利用统计分析和回归模型考察了不同社会人口因素和旅行特征对参与倾向的影响。为了量化在接受众包任务时所需的弯路、补偿和包裹重量之间的权衡，研究了可选的离散选择模型。结果表明，年龄、就业、收入等因素以及出行特征对参与倾向有显著影响。据估计，作为众包商的意愿与之前的研究一致，表明年龄和收入水平是重要因素。潜在阶级模型进一步揭示了两个群体之间的明确划分：一个是年轻的、收入较低的、工作意愿较高的群体，另一个是年龄较大的、收入较高的、工作意愿较低的群体。因此，未来的众包服务提供商和政策制定者需要考虑专门的策略。

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引用次数: 0

Digitally enabled collaborative governance for sustaining bus reforms on the EDSA Busway in Metro Manila 马尼拉大都会EDSA公交道的数字化协同治理以维持公交改革

IF 3.4 3区工程技术 Q1 ECONOMICS

Research in Transportation Economics

Pub Date : 2025-09-08 DOI: 10.1016/j.retrec.2025.101633

Noriel Christopher C. Tiglao , Erris Sanciangco , Niki Jon Tolentino

The Epifanio de los Santos Avenue or EDSA is a major arterial road in Metro Manila, Philippines which connects several Central Business Districts (CBDs) and major shopping malls of the metropolis with an average daily vehicle traffic reaching more than 400,000 plying its 23.8-km stretch. EDSA serves as a major public transport corridor due to the alignment of other mass transit systems. Over the years, serious attempts were made to increase the quality of bus services, but these were not sustained. In 2021, the city bus routes passing along EDSA were revamped and around 150 bus operators were consolidated into two consortia to operate the EDSA Busway during the COVID-19 pandemic. Originally intended to provide an augmentation service to the EDSA-MRT3 which was undergoing repairs along with passenger capacity restrictions to curb the spread of the virus, the government is trying to improve bus operations and infrastructure yet again. This paper describes the collaborative digital twin model, giving a detailed explanation of its development, components, and validation process, providing an analytical tool to improve governance and operations for the EDSA Busway.

Epifanio de los Santos大道（EDSA）是菲律宾马尼拉大都会的一条主干道，连接了大都市的几个中央商务区（CBDs）和主要购物中心，其23.8公里长的路段平均每天的车辆流量超过40万辆。由于与其他公共交通系统保持一致，EDSA成为主要的公共交通走廊。多年来，为提高公共汽车服务质量作出了认真的努力，但这些努力并没有持续下去。2021年，经过EDSA的城市公交路线进行了改造，约150家公交运营商被合并为两个财团，在2019冠状病毒病大流行期间运营EDSA公交道。政府原本打算为正在进行维修的EDSA-MRT3提供增强服务，同时限制乘客容量以遏制病毒的传播，现在政府正试图再次改善公交车运营和基础设施。本文描述了协作数字孪生模型，详细解释了其开发、组成和验证过程，为改进EDSA母线槽的治理和运营提供了分析工具。

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引用次数: 0

How can long-distance battery-powered container ships stack up? A speculative Asia-Europe illustration 电池驱动的长途集装箱船如何堆积起来？一个推测性的亚欧图解

IF 3.4 3区工程技术 Q1 ECONOMICS

Research in Transportation Economics

Pub Date : 2025-09-08 DOI: 10.1016/j.retrec.2025.101636

Anthony Wiskich

Are batteries too costly and insufficiently energy-dense for long-distance shipping? We consider a container ship on a round trip between Asia and Europe under two speculative assumptions. First, in addition to a battery-on-container-ship (“on-ship”) approach, we study an “off-ship” concept where a dedicated battery vessel can power the ship en route. Second, we allow (dis)connection of battery vessels and charging at sea (stops). We describe an economic model that optimises ship speed, number of sea stops, battery capacities and battery vessel adoption for a hybrid (fuel/battery) container ship. Our main insights: (i) the off-ship approach allows greater flexibility and partial electrification at higher battery costs, (ii) optimal speeds increase and vary depending on the route segment with battery-powered propulsion, and (iii) battery uptake is more sensitive to battery costs than energy density. We hope these insights promote research into the technical feasibility of the off-ship approach.

对于长途运输来说，电池是否过于昂贵且能量密度不够？我们在两个推测的假设下考虑一艘往返于亚洲和欧洲之间的集装箱船。首先，除了集装箱船上的电池（“船上”）方法外，我们还研究了“船外”概念，即专用电池船可以在途中为船舶供电。第二，我们允许电池船（断开）连接和海上充电（停止）。我们描述了一个经济模型，该模型优化了混合动力（燃料/电池）集装箱船的航速、停靠次数、电池容量和电池船的采用。我们的主要见解是：(1)船外方法允许更大的灵活性和更高电池成本的部分电气化；(2)最佳速度的增加和变化取决于电池驱动推进的路线段；(3)电池吸收对电池成本比能量密度更敏感。我们希望这些见解能够促进对船外方法技术可行性的研究。

引用次数: 0

The monetary injury risk value of a crashed vehicle: a gender driving analysis 车祸的货币伤害风险值：性别驾驶分析

IF 3.4 3区工程技术 Q1 ECONOMICS

Research in Transportation Economics

Pub Date : 2025-09-06 DOI: 10.1016/j.retrec.2025.101631

Luis Cespedes , Miguel Santolino , Mercedes Ayuso

The bodily injury severity of a vehicle involved in a crash has traditionally been defined in literature as the one associated with the most serious injured occupant and, therefore, excluding from the analysis the injured victims other than the most serious one. In this study, we propose an aggregate injury severity indicator for a crashed vehicle, based on the alternative metrics used in road safety research to calculate the monetary value of the change in risk of death and injury for each person in the vehicle. The main advantage of our indicator is that, by projecting the different qualitative levels of injury severity into monetary values, it allows aggregating the injury severity levels sustained by all occupants of a vehicle into a single value. We analyse the effect of the gender of the driver and its interaction with other risk factors on the expected monetary value of the injury risk of the vehicle. We found evidence of gender differences in driving, consistent with ‘couple driving behaviour’, where a man is more likely to be the driver when a woman (presumably the couple) is also in the vehicle. When the driver was a woman, the expected monetary value of the injury risk was on average reduced by 22 % for the occupants of the vehicle, and by 34 % for the passengers, i.e. excluding the driver's injuries. The reduction of the monetary value of the injury risk of passengers was higher for young female drivers than for old ones, with young-older female drivers (aged 66–74 years) being riskier for occupants than the young-older male drivers. In conclusion, analysing the gender differences in the aggregate expected injury severity for all occupants of the vehicle provides road safety policy makers with a better approximation of the injury severity resulting from motor vehicle crashes.

传统上，在文献中，涉及碰撞的车辆的身体伤害严重程度被定义为与受伤最严重的乘员相关的伤害严重程度，因此，从分析中排除了除最严重的受害者以外的受伤受害者。在这项研究中，我们基于道路安全研究中使用的替代指标，提出了碰撞车辆的总伤害严重程度指标，以计算车辆中每个人的死亡和受伤风险变化的货币价值。我们的指标的主要优点是，通过将不同的伤害严重程度的定性水平投射到货币价值中，它可以将车辆中所有乘员所遭受的伤害严重程度汇总到一个单一的值中。我们分析了驾驶员的性别及其与其他风险因素的相互作用对车辆伤害风险的预期货币价值的影响。我们发现了驾驶中存在性别差异的证据，这与“夫妻驾驶行为”是一致的，即当女性（大概是夫妻）也在车里时，男性更有可能是司机。当司机是女性时，车内人员受伤风险的预期货币价值平均降低了22%，乘客的预期货币价值平均降低了34%，即不包括司机的伤害。与老年司机相比，年轻女性司机对乘客伤害风险的货币价值降低更高，年龄在66-74岁之间的年轻女性司机比年龄在年轻男性司机对乘客的风险更高。总之，分析车辆中所有乘员的总体预期伤害严重程度的性别差异，为道路安全政策制定者提供了一个更好的近似机动车辆碰撞造成的伤害严重程度。

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引用次数: 0

Emerging economic geography of urban restaurants as freight generators: Logistics policy implications for managing dark kitchens and food trucks 城市餐馆作为货运发电机的新兴经济地理：管理黑暗厨房和食品卡车的物流政策含义

IF 3.4 3区工程技术 Q1 ECONOMICS

Research in Transportation Economics

Pub Date : 2025-09-02 DOI: 10.1016/j.retrec.2025.101627

Suprava Mishra , Agnivesh Pani , Ivan Sanchez-Diaz , Heleen Buldeo Rai , Ankit Gupta

The rapid rise of app-based food delivery platforms has redefined how restaurants shape urban space. However, little is known about how these evolving restaurant types cluster and interact with urban land use. Using spatial analysis involving Ripley's-

K

and Moran's-

I

and predictive models involving decision trees, random forest, and multinomial logit models, this study attempts to explain the location choices of restaurants based on their relative distance to the city centre, rent, population density, and night-time light (NTL) intensity. Analysis results reveal that dark kitchens exhibit the tightest clustering, often in low-rent, high-density zones, while in-person dining is concentrated in high-rent, high-NTL areas. Among the models tested, random forest outperformed decision trees and multinomial logit models in predicting restaurant types, with night-time light emerging as the strongest spatial predictor. The clustering patterns observed in emerging urban restaurant types differ significantly from traditional brick-and-mortar establishments; study findings highlight the urgent need for adaptive freight planning and zoning policies to address the growing logistical footprint of digitally mediated food establishments. While based in Indian cities, the framework and insights of this study are transferable to other global contexts where on-demand food delivery and mixed-use zoning intersect in urban areas.

基于app的外卖平台的迅速崛起重新定义了餐馆如何塑造城市空间。然而，人们对这些不断发展的餐馆类型是如何聚集在一起并与城市土地利用相互作用的知之甚少。利用Ripley’s- k和Moran’s- i空间分析和决策树、随机森林和多项logit模型的预测模型，本研究试图根据餐馆与市中心的相对距离、租金、人口密度和夜间灯光强度来解释餐馆的选址选择。分析结果显示，暗厨房的聚集性最紧密，通常在低租金、高密度的区域，而面对面用餐则集中在高租金、高ntl的区域。在测试的模型中，随机森林在预测餐厅类型方面优于决策树和多项logit模型，其中夜间灯光成为最强的空间预测器。新兴城市餐厅类型的聚类模式与传统实体餐厅有显著差异；研究结果强调，迫切需要制定适应性货运规划和分区政策，以解决数字媒介食品企业日益增长的物流足迹。虽然基于印度城市，但本研究的框架和见解可转移到其他全球背景下，即按需食品配送和混合用途分区在城市地区交叉。

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引用次数: 0

Assessing AI-based eco-driving solutions for reducing GHG emissions in green transportation systems 评估基于人工智能的生态驾驶解决方案，以减少绿色交通系统中的温室气体排放

IF 3.4 3区工程技术 Q1 ECONOMICS

Research in Transportation Economics

Pub Date : 2025-09-02 DOI: 10.1016/j.retrec.2025.101632

Rakan Alyamani , Yasir Ahmed Solangi , Muddesar Iqbal , Dhafer Almakhles , Cosimo Magazzino

The transportation sector in the Kingdom of Saudi Arabia (KSA) is a major contributor to greenhouse gas (GHG) emissions, driven by the country's heavy reliance on oil and fossil fuels. Transitioning to a green and sustainable transport system is critical for reducing emissions and aligning with Saudi Arabia's Vision 2030 goals of diversifying its economy and promoting environmental sustainability. Thus, this research examined the adoption of a green sustainable transport system to reduce GHG emissions and reduce dependence on fossil fuels for sustainable development in the KSA. The study evaluates various factors and Artificial Intelligence (AI)-based eco-driving solutions to systematically implement green transportation systems. In this study, the Fuzzy Analytical Hierarchy Process (FAHP) method is applied to evaluate the five factors and eighteen sub-factors crucial for developing a green transportation system in the country. Next, the Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (FTOPSIS) method is used to prioritize the most significant AI-based eco-driving solutions for the implementation of smart and green transportation in KSA. The findings of the FAHP show that environmental impact (33 %) is the most crucial factor, followed by regulatory compliance (21.3 %) and economic viability (16.9 %). The FTOPSIS indicates that the smart navigation system (CC_i = 0.682) is the most critical AI-based eco-driving solution because this can help reduce GHG emissions and increase the efficiency of traffic regulation in the country. The electric and hybrid vehicle integration (CC_i = 0.585) and carbon footprint tracking systems (CC_i = 0.355) are the next most significant solutions. This study is helpful in reducing GHG emissions, supporting sustainable development, and guiding policymakers toward effective green transport initiatives.

沙特阿拉伯王国（KSA）严重依赖石油和化石燃料，交通运输部门是温室气体（GHG）排放的主要来源。过渡到绿色和可持续的交通系统对于减少排放和符合沙特阿拉伯2030年愿景的目标至关重要，该目标旨在实现经济多元化和促进环境可持续性。因此，本研究探讨了在沙特阿拉伯采用绿色可持续交通系统以减少温室气体排放和减少对化石燃料的依赖以实现可持续发展。该研究评估了各种因素和基于人工智能（AI）的生态驾驶解决方案，以系统地实施绿色交通系统。本研究采用模糊层次分析法（FAHP）对我国发展绿色交通系统的5个关键因素和18个子因素进行了评价。接下来，使用模糊理想解决方案相似度偏好排序技术（FTOPSIS）方法对最重要的基于人工智能的生态驾驶解决方案进行优先排序，以实现KSA的智能和绿色交通。FAHP的研究结果显示，环境影响（33%）是最关键的因素，其次是法规遵从（21.3%）和经济可行性（16.9%）。FTOPSIS表明，智能导航系统（CCi = 0.682）是最关键的基于人工智能的生态驾驶解决方案，因为这有助于减少温室气体排放，提高该国的交通管制效率。电动和混合动力汽车集成（CCi = 0.585）和碳足迹跟踪系统（CCi = 0.355）是第二重要的解决方案。这项研究有助于减少温室气体排放，支持可持续发展，并指导决策者采取有效的绿色交通举措。

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引用次数: 0