Research in Transportation Economics最新文献

{"title":"How can long-distance battery-powered container ships stack up? A speculative Asia-Europe illustration","authors":"Anthony Wiskich","doi":"10.1016/j.retrec.2025.101636","DOIUrl":"10.1016/j.retrec.2025.101636","url":null,"abstract":"<div><div>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 (“<em>on-ship</em>”) approach, we study an “<em>off-ship</em>” 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 <em>off-ship</em> 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 <em>off-ship</em> approach.</div></div>","PeriodicalId":47810,"journal":{"name":"Research in Transportation Economics","volume":"113 ","pages":"Article 101636"},"PeriodicalIF":3.4,"publicationDate":"2025-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145010631","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The monetary injury risk value of a crashed vehicle: a gender driving analysis","authors":"Luis Cespedes ,&nbsp;Miguel Santolino ,&nbsp;Mercedes Ayuso","doi":"10.1016/j.retrec.2025.101631","DOIUrl":"10.1016/j.retrec.2025.101631","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":47810,"journal":{"name":"Research in Transportation Economics","volume":"113 ","pages":"Article 101631"},"PeriodicalIF":3.4,"publicationDate":"2025-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145004204","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Emerging economic geography of urban restaurants as freight generators: Logistics policy implications for managing dark kitchens and food trucks","authors":"Suprava Mishra ,&nbsp;Agnivesh Pani ,&nbsp;Ivan Sanchez-Diaz ,&nbsp;Heleen Buldeo Rai ,&nbsp;Ankit Gupta","doi":"10.1016/j.retrec.2025.101627","DOIUrl":"10.1016/j.retrec.2025.101627","url":null,"abstract":"<div><div>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-<span><math><mrow><mi>K</mi></mrow></math></span> and Moran's-<span><math><mrow><mi>I</mi></mrow></math></span> 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.</div></div>","PeriodicalId":47810,"journal":{"name":"Research in Transportation Economics","volume":"113 ","pages":"Article 101627"},"PeriodicalIF":3.4,"publicationDate":"2025-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144925297","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessing AI-based eco-driving solutions for reducing GHG emissions in green transportation systems","authors":"Rakan Alyamani ,&nbsp;Yasir Ahmed Solangi ,&nbsp;Muddesar Iqbal ,&nbsp;Dhafer Almakhles ,&nbsp;Cosimo Magazzino","doi":"10.1016/j.retrec.2025.101632","DOIUrl":"10.1016/j.retrec.2025.101632","url":null,"abstract":"<div><div>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 (<em>CC</em>_<em>i</em> = 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 (<em>CC</em>_<em>i</em> = 0.585) and carbon footprint tracking systems (<em>CC</em>_<em>i</em> = 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.</div></div>","PeriodicalId":47810,"journal":{"name":"Research in Transportation Economics","volume":"113 ","pages":"Article 101632"},"PeriodicalIF":3.4,"publicationDate":"2025-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144925298","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Achieving collaboration between local and regional governments aiming to stagger school starting hours","authors":"Eva-Lena Eriksson ,&nbsp;Helene Lidestam ,&nbsp;Lena Winslott Hiselius","doi":"10.1016/j.retrec.2025.101629","DOIUrl":"10.1016/j.retrec.2025.101629","url":null,"abstract":"<div><div>The peak-hour travel demand is the most important operational cost driver for public transport in Sweden. Implementing staggered school starting hours as a measure to spread out the travel demand has proven to be challenging. This study focuses on overcoming barriers to collaboration between public transport authorities, municipalities, and schools concerning school transport planning and school operations scheduling in order to reduce public transport costs. Data was collected through semi-structured interviews with individuals with experience in introducing staggered school starting hours. The Institutional Collective Action (ICA) framework was utilised to identify the barriers to collaboration. The paper discusses methods for overcoming these barriers and concludes with actions such as involving all stakeholders in the problem formulation, increasing knowledge of stakeholders’ operations and planning procedures, providing incentives for all actors, and safeguarding the autonomy of each actor. Insights that could also be applied to collaboration with other actors, e.g., workplaces, aiming to stagger commuter peak-hour demand. The study advances the empirical application of the ICA framework by applying it in a Swedish context, in the field of transport planning, and with stakeholders who do not perceive the issue at hand as a problem and lack commitment to finding a joint solution.</div></div>","PeriodicalId":47810,"journal":{"name":"Research in Transportation Economics","volume":"113 ","pages":"Article 101629"},"PeriodicalIF":3.4,"publicationDate":"2025-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144917824","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mobile communication technology and consumer demand: Empirical evidence of China's automobile industry","authors":"Panwei Xiang ,&nbsp;Lianren Wu ,&nbsp;Muhua Wei ,&nbsp;Jiayin Qi","doi":"10.1016/j.retrec.2025.101630","DOIUrl":"10.1016/j.retrec.2025.101630","url":null,"abstract":"<div><div>With the extensive adoption of electrification technology in China's new energy vehicle market, traditional automakers are accelerating their transition towards electrification, thereby reshaping the competitive landscape. Meanwhile, mobile communication technology, which serves as the foundation of networking and intelligent development, not only facilitates the rapid emergence of new automotive manufacturers but also introduces novel opportunities and challenges to the new energy vehicle industry. This study employs a discrete choice model to empirically analyze how network configuration impacts the sales of new energy vehicles, aiming to explore how network connectivity empowers these vehicles in the post-subsidy era. The findings demonstrate that: (1) The mobile network configuration can positively affect the market share of new energy vehicle products, among which consumer satisfaction plays a partial mediating role. (2) From the perspective of specific network configuration, the impact on automotive market share is mainly driven by the role of 4G network, while the impact of 4G to 5G network upgrade is a gradual process. (3) For domestic car brands and car brands with relatively low prices, network integration plays a more obvious role in improving the car market share.</div></div>","PeriodicalId":47810,"journal":{"name":"Research in Transportation Economics","volume":"113 ","pages":"Article 101630"},"PeriodicalIF":3.4,"publicationDate":"2025-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144912622","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Estimating gasoline demand and electric vehicle adoption: A spatial model for Brazil","authors":"Sergio Prolo ,&nbsp;Andrea Pellegrini ,&nbsp;Werner Kraus Junior ,&nbsp;Alexandre Hering Coelho ,&nbsp;John M. Rose","doi":"10.1016/j.retrec.2025.101623","DOIUrl":"10.1016/j.retrec.2025.101623","url":null,"abstract":"<div><div>We investigate gasoline demand growth in Brazil over a 16-year period, assessing its response to electric vehicle (EV) adoption and taxation measures. Using a spatial-based econometric model with data from 2006 to 2021 across all Brazilian states, we observe that annual gasoline sales nearly doubled from 2006 to 2014, reaching 0.22 m³ <em>per capita</em>, and then stabilized. Our model reveals that the EV motorization rate negatively impacts gasoline demand, with an elasticity of −0.126, compared to 0.609 for internal combustion engine vehicles. The results show that aggressive fuel taxation alone is insufficient to achieve long-term reductions in demand. However, fleet electrification is more effective, potentially reducing per capita gasoline consumption by 90% between 2021 and 2034 when it is strongly incentivized. A combined approach integrating taxation and electrification offers the most efficient pathway for reducing demand while generating revenue for public investment in Brazil’s transition to a carbon-free transportation sector.</div></div>","PeriodicalId":47810,"journal":{"name":"Research in Transportation Economics","volume":"113 ","pages":"Article 101623"},"PeriodicalIF":3.4,"publicationDate":"2025-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144879876","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The evolution of consumer preferences in last-mile delivery methods and the impact on urban logistics—A simulation study in the Rotterdam-The Hague region","authors":"J.E. van Vliet ,&nbsp;M.A. de Bok ,&nbsp;B. Atasoy ,&nbsp;G. Homem de Almeida Correia","doi":"10.1016/j.retrec.2025.101624","DOIUrl":"10.1016/j.retrec.2025.101624","url":null,"abstract":"<div><div>The growing demand for parcel delivery contributes to traffic congestion, high emissions, and rising costs of freight logistics, particularly in urban areas. To address these issues, new and sustainable last-mile delivery methods must be implemented. However, estimating the impact of different logistics systems is complex, as it depends heavily on consumer adoption of these new delivery methods.</div><div>This paper presents a simulation model that captures and explores the interconnections between multiple last-mile delivery methods and corresponding consumer preferences. Two key factors affecting consumer preferences are simulated: (1) consumers’ response to the performance and availability of delivery methods, and (2) the sharing of knowledge through word of mouth and familiarisation. System dynamics is applied at the aggregate level to simulate the evolution of consumer preferences for last-mile delivery across multiple methods. At the disaggregate level, an agent-based model simulates the operational performance of these delivery methods, which in turn influences consumer preferences in the system dynamics model. This integrated approach allows for the observation of the evolving interaction between urban logistics supply and demand, providing key performance indicators on consumer preferences and the delivery method operations at consecutive time points.</div><div>The developed simulation model is applied to a case study in the Rotterdam-The Hague region, a highly urbanised region in The Netherlands. Results show that consumer preferences strongly depend on the carriers’ ability to fulfil the demand. The dynamic interaction between supply and demand creates a reinforcing feedback loop, where the adaptability of carriers is crucial for the long-term success of a delivery method. Additionally, the spatial results reveal that there are zonal differences in the performance of the delivery methods. Further findings indicate that, while total vehicle kilometres and CO₂ emissions will rise due to increasing parcel demand in all scenarios, the average number of van kilometres and CO₂ emissions per parcel will decrease as demand grows.</div></div>","PeriodicalId":47810,"journal":{"name":"Research in Transportation Economics","volume":"113 ","pages":"Article 101624"},"PeriodicalIF":3.4,"publicationDate":"2025-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144841806","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Knowledge and strategies for facilitating urban freight and last-mile deliveries amid digital","authors":"Astrid Bjørgen ,&nbsp;Kelly Pitera ,&nbsp;Hampus Karlsson ,&nbsp;Sahar Babri ,&nbsp;Kathrine Strømmen","doi":"10.1016/j.retrec.2025.101625","DOIUrl":"10.1016/j.retrec.2025.101625","url":null,"abstract":"<div><div>Digitalization has been increasing in nearly all aspects of society, facilitating new opportunities. One example is the increase in online shopping opportunities which in turn results in increased home (or near-home) deliveries. This shift within last-mile distribution must be considered by local authorities, both regarding its impacts on traditional city center deliveries, and also the expansion of last-mile deliveries to residential areas where the infrastructure is not designed to safely or efficiently accommodate larger freight vehicles. Increased understanding of the impacts of digital transitions on urban mobility is needed to better integrate freight and logistics into urban planning and to establish strategies and policies for supporting urban freight and last-mile transitions. At the same time, this digitalization provides further opportunities for knowledge development by expanding the availability and richness of data. Local authorities must initiate collaboration with the private sector (i.e., logistics service providers, receivers, and end consumers) to develop policies that facilitate the collection of last-mile delivery data in ways that benefit all stakeholders. This study, motivated by a mapping of last-mile deliveries to shopping malls, reflects on these issues, and then further suggests areas for future research and strategies for local authorities to consider.</div></div>","PeriodicalId":47810,"journal":{"name":"Research in Transportation Economics","volume":"113 ","pages":"Article 101625"},"PeriodicalIF":3.4,"publicationDate":"2025-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144841805","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Examining the introduction of transportation network companies (TNCs) and ridesharing services for airport ground access in Australia","authors":"Stephen Ison ,&nbsp;Lucy Budd ,&nbsp;John D. Nelson ,&nbsp;Corinne Mulley","doi":"10.1016/j.retrec.2025.101622","DOIUrl":"10.1016/j.retrec.2025.101622","url":null,"abstract":"<div><div>Ground access mode choice directly impacts an airport's commercial income generation, imposes a range of environmental externalities and requires often-considerable capital investment and infrastructure development. Historically, these revenue planning, environmental management and capital investment decisions were predicated on the knowledge that airport ground access occurred via private vehicles or by conventional public transport modes. However, the introduction of new forms of ride-hailing and ridesharing mobility services by Transportation Network Companies (TNCs) is disrupting the status quo and posing new revenue and infrastructure planning challenges for airports. Australia is one country experiencing this new business model. The aim of this paper is to examine the situation in Australia and explore the extent to which major passenger airports in the country are adapting to the advent of TNCs and ridesharing services. The situation at the 10 busiest passenger airports is examined. The findings show that while these airports still routinely plan for conventional forms of ground access, TNC's represent a trend breaker which demands new ground access management strategies. Recommendations to help airport management respond to the introduction of widespread ridesharing and the arrival of TNCs in terms of landside asset configuration and the potential for regulatory and financial strategies are proposed.</div></div>","PeriodicalId":47810,"journal":{"name":"Research in Transportation Economics","volume":"113 ","pages":"Article 101622"},"PeriodicalIF":3.4,"publicationDate":"2025-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144771101","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}