International Journal of Sustainable Transportation最新文献

{"title":"Overnight charging scheduling of electric buses considering V2G technology and uncertain battery charge-discharge efficiency","authors":"Zhaojie Wang ,&nbsp;Feifeng Zheng ,&nbsp;Ming Liu","doi":"10.1080/15568318.2025.2501264","DOIUrl":"10.1080/15568318.2025.2501264","url":null,"abstract":"<div><div>We investigate an electric bus overnight charging scheduling problem considering the uncertainty of bus charge-discharge efficiency. In line with scheduling practice, the vehicle-to-grid technology is considered in this problem. Given a set of appointed electric buses, our objective is to explore charging strategies that minimize the weighted sum of the total charging cost for the charging station, power grid load fluctuations, together with the negative value of rewards obtained from using V2G technology. Inspired by Abdelwahed et al., both discrete-time-optimization formulation and discrete-event-optimization formulation are established to model this problem under uncertain environments. We then employ K-means enhanced sample average approximation approach and K-means enhanced conditional value at risk approach to solve this problem. Numerical experiments are conducted to demonstrate the effectiveness of our approaches.</div></div>","PeriodicalId":47824,"journal":{"name":"International Journal of Sustainable Transportation","volume":"19 5","pages":"Pages 462-479"},"PeriodicalIF":3.1,"publicationDate":"2025-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144124462","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":"A SWOT analysis of stakeholder perspectives on the strategic application of economic sustainability indicators in Ghana’s road infrastructure development","authors":"George Okyere Dokyi ,&nbsp;Kwame Kwakwa Osei ,&nbsp;John Tookey ,&nbsp;Funmilayo Ebun Rotimi","doi":"10.1080/15568318.2025.2496894","DOIUrl":"10.1080/15568318.2025.2496894","url":null,"abstract":"<div><div>This study explores the economic criterion indicators for sustainable road and highway infrastructure development in Ghana through a phenomenological research approach. Using SWOT analysis and semi-structured interviews with 14 key stakeholders, including government officials, academics, and private sector professionals, the research examines four critical economic indicators: material costs, lifecycle costs, construction time, and maintenance and operation costs Through content analysis using ATLAS.ti 9 software, the study evaluates internal strengths and weaknesses, as well as external opportunities and threats affecting each indicator’s implementation. The findings reveal multifaceted challenges including insufficient expertise in lifecycle cost analysis, inadequate maintenance funding, weak regulatory enforcement, and political interference. The study identifies strategic action plans for each indicator, including local material sourcing, improved procurement practices, capacity building initiatives, enhanced stakeholder collaboration, and technological integration. These recommendations are supported by specific deliverables and expert remarks that provide practical implementation guidance. This research contributes to sustainable infrastructure development theory and practice by providing a comprehensive framework for economic sustainability in Ghana’s road and highway sector. While the study’s geographical focus may limit generalisability, it offers valuable insights for policymakers and practitioners in developing countries facing similar challenges. The findings suggest that the successful implementation of economic sustainability indicators requires a coordinated approach combining technical expertise, policy reform, and stakeholder engagement, while considering local contextual factors.</div></div>","PeriodicalId":47824,"journal":{"name":"International Journal of Sustainable Transportation","volume":"19 5","pages":"Pages 375-392"},"PeriodicalIF":3.1,"publicationDate":"2025-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144124476","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":"Energy intensity, GHG and pollutant emissions of freight and passenger rail applications in the United States","authors":"Choudhury Siddique ,&nbsp;Yan Zhou ,&nbsp;Amgad Elgowainy ,&nbsp;Md Rakibul Alam ,&nbsp;Melissa Shurland","doi":"10.1080/15568318.2025.2467665","DOIUrl":"10.1080/15568318.2025.2467665","url":null,"abstract":"<div><div>This research establishes a baseline for the energy intensity and emissions of freight and passenger rail applications, focusing on diesel locomotives. We quantified the diesel energy intensity for freight rail (in Btu/revenue ton-mile), and both diesel and electric energy intensity for passenger rail (in Btu/passenger-mile) using publicly available data. Emissions of HC, CO, NO_X, and PM emissions from diesel locomotives were analyzed based on real world emissions testing of in-use locomotives and compared to EPA standards. Additionally, greenhouse gas (GHG) emissions from freight and passenger rails were compared to those from other transportation modes, including heavy-duty trucks, transit buses, and freight and passenger aircrafts, using a well-to-wheels (WTW) approach. Results show that freight rail powered by diesel engines produces lower WTW emissions when compared to competing freight transportation modes such as trucks and aviation. In contrast, passenger rail exhibits higher overall WTW emissions compared to other passenger transportation modes (e.g. cars, transit buses, aviation), and greater variability primarily due to the fluctuations in passenger load factors.</div></div>","PeriodicalId":47824,"journal":{"name":"International Journal of Sustainable Transportation","volume":"19 4","pages":"Pages 297-307"},"PeriodicalIF":3.1,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144106205","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":"Costs and carbon: Evaluating the tradeoffs in Taiwan’s shift toward electric vehicles","authors":"Jing-Siou Tseng ,&nbsp;Yuan-Hsi Chien ,&nbsp;Ruo-Wen Chen ,&nbsp;I-Yun Lisa Hsieh","doi":"10.1080/15568318.2025.2490488","DOIUrl":"10.1080/15568318.2025.2490488","url":null,"abstract":"<div><div>Battery Electric Vehicles (BEVs) are pivotal in advancing sustainable mobility and addressing climate change globally. An increasing number of regions, including Taiwan, are implementing plans to phase out the sale of Internal Combustion Engine Vehicles (ICEVs). In Taiwan, where the transportation sector contributes 13% of fossil carbon emissions, nearly half attributed to passenger vehicles, electrification is key to achieving net-zero emissions. This study provides a comprehensive life cycle assessment (LCA) and total cost of ownership (TCO) analysis of 182 vehicle models, including ICEVs, Hybrid Electric Vehicles (HEVs), and BEVs. Our findings reveal that BEVs reduce total CO₂ emissions by an average of 20% compared to ICEVs, largely due to decreased emissions from electricity generation and reduced fuel consumption. Although BEVs initially present double the purchase costs of ICEVs, their long-term economic competitiveness is enhanced by lower operational and maintenance costs. Nevertheless, the environmental impact of BEVs depends heavily on the decarbonization of the power grid, and the prevalence of expensive imported BEVs challenges their adoption. This study highlights the necessity for specific policies, such as financial incentives, support for domestic BEV production, and accelerated grid decarbonization, to enhance BEV adoption in Taiwan. Such measures, coupled with increased public awareness, are crucial to ensuring Taiwan’s vehicle electrification aligns with its ambitious 2050 net-zero emission goals.</div></div>","PeriodicalId":47824,"journal":{"name":"International Journal of Sustainable Transportation","volume":"19 4","pages":"Pages 363-374"},"PeriodicalIF":3.1,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144106053","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":"Investigating dwelling of freight trains with a view to the reduction of carbon and pollutant emissions","authors":"Shin Ying Ng ,&nbsp;Yan Cheng ,&nbsp;Taku Fujiyama","doi":"10.1080/15568318.2025.2479616","DOIUrl":"10.1080/15568318.2025.2479616","url":null,"abstract":"<div><div>Many freight trains are still diesel-powered, and their CO₂ and other emissions cannot be ignored. This research proposed a framework to evaluate freight trains’ stops during their journeys and the associated emissions from idling and reacceleration. It includes (1) number of stops, (2) stopping time (duration) and (3) stopping percentage (a train’s total stopping time divided by its journey time). The framework was applied to integrated datasets of Great Britain from January to June 2022 to evaluate freight train operations and estimate emissions. We found that 83% of the observed 105,714 freight trains were diesel-powered. Each diesel freight train made an average of 1.34 stops during its journey, with an average total stopping time of 17.2 minutes and a stopping percentage of 6.89%. It was estimated that in that six-month period 53.12 ktonnes of CO₂, 0.35 ktonnes of NO_x and 6.58 tonnes of PM were emitted from diesel freight trains. Domestic Intermodal (containers) accounted for 60% of the emissions, followed by Construction (23%). Many emission hotspots were along lines with high-frequency passenger services. The developed framework could be used to evaluate railway timetables and operation management at a national level.</div></div>","PeriodicalId":47824,"journal":{"name":"International Journal of Sustainable Transportation","volume":"19 4","pages":"Pages 322-343"},"PeriodicalIF":3.1,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144106207","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":"Enhancing urban sustainability through optimizing Distributed energy resources for electric vehicles’ fast charging","authors":"Harprinderjot Singh ,&nbsp;Hamid Mozafari ,&nbsp;Mohammadreza Kavianipour ,&nbsp;Mehrnaz Ghamami ,&nbsp;Ali Zockaie ,&nbsp;Robert Jackson","doi":"10.1080/15568318.2025.2479622","DOIUrl":"10.1080/15568318.2025.2479622","url":null,"abstract":"<div><div>The rapid growth of the electric vehicles (EVs) market penetration rate and the resulting energy demand will impact the electricity supply-demand balance and stability in the electricity distribution network. These impacts could be mitigated by distributed energy resources (DERs) (i.e. second-life batteries (SLB), new batteries (NB), solar panels, and flywheels). To support the energy demand of EVs at fast-charging stations whilst minimizing the cost of the system, a mixed-integer optimization model is developed considering the spatiotemporal demand (existing demand and EV demand), the details of the electric grid distribution network, spatiotemporal power generation of solar panels, energy storage systems’ (ESSs’) charge/discharge schedule, and the capacity constraints. The case study (major cities in Michigan) shows sensitivity to the seasonal variation in the grid and solar conditions and the DER’s unit cost. Based on the result, providing the maximum area for solar panels leads to the maximum cost savings. Lithium-ion SLBs offer a cost-effective solution for energy storage, efficiently utilizing time-of-use electricity rates and intermittent solar energy. Depending on the existing and fast-charging energy demand, grid upgrades may be necessary at some locations.</div></div>","PeriodicalId":47824,"journal":{"name":"International Journal of Sustainable Transportation","volume":"19 4","pages":"Pages 344-362"},"PeriodicalIF":3.1,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144106054","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":"Study on consumers’ electric vehicle choice preferences in severe cold regions: Based on choice experiments in Heilongjiang province","authors":"Kelong Chen ,&nbsp;Zhenyu Cai ,&nbsp;Mengting Peng ,&nbsp;Changlin Ao ,&nbsp;Xiaola Wu ,&nbsp;Libin Shi ,&nbsp;Yuntao Lin","doi":"10.1080/15568318.2025.2476102","DOIUrl":"10.1080/15568318.2025.2476102","url":null,"abstract":"<div><div>In the development of the electric vehicle(EV) industry, grasping consumers’ choice preferences is an important part of current research. However, no research reports have been found on consumers’ vehicle purchase preferences in severe cold regions. For this reason, we conducted a choice experiment(CE) in Heilongjiang province, which is located in northeastern China, with the aim of investigating consumers’ choice preferences for EV in severe cold regions. In this paper, we applied multinomial logit models(MNL), random parameters logit models(RPL), and latent classes models(LCM) to explore the differences in attribute preferences and willingness to pay(WTP) for consumers’ choice of EV in cold environments. The results of this study show that the respondents are more concerned about the purchase price, driving range, charging station density, and charging time of EV. Based on the results of the LCM model, respondents were divided into two categories: price-sensitive type and charging time-sensitive type. We found that low-income women who own a garage are more likely to fall into the first category, focusing more on the purchase price, fuel cost, and carbon emission attributes of the EV. Higher-income men without a garage are more likely to fall into the second category, focusing more on purchase price, charging time,driving range, and the car’s power performance attributes during the selection process. These findings can provide policy recommendations for the government to promote the development of the electric vehicle industry, as well as guidance on technology development for automakers to open up the severe cold market.</div></div>","PeriodicalId":47824,"journal":{"name":"International Journal of Sustainable Transportation","volume":"19 4","pages":"Pages 308-321"},"PeriodicalIF":3.1,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144106206","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":"Exploring and comparing the knowledge structures, collaborations and key themes of electric vehicle research in the environment domain","authors":"Moon-Koo Kim ,&nbsp;Min Jae Park","doi":"10.1080/15568318.2024.2448002","DOIUrl":"10.1080/15568318.2024.2448002","url":null,"abstract":"<div><div>Using bibliometric analysis, science mapping, and thematic clustering, this study analyzed the knowledge structure, collaboration network, and key themes in electric vehicle (EV) research in the environment domain (ED) from 2010 to 2022. The analysis reveals rapid growth in knowledge production with continued influence over time. China, the United States, and the United Kingdom led environmental EV research during this period, with cluster analysis revealing associations between international collaboration patterns, geographical attributes, and research performance. Countries with strong qualitative research performance showed corresponding excellence in sustainability indices. Comparative analysis revealed that, among major journals and countries, articles in multidisciplinary journals (AMDJ) demonstrated stronger research performance, while articles in environment-specific journals (AESJ) were characterized by stronger research leadership. Analysis of EV research revealed several core themes, including climate change responses, energy management systems, battery and environmental sustainability, and renewable energy, alongside expanding research on charging infrastructure that parallels EV diffusion Furthermore, AESJ emphasized environmental, economic, and system-level perspectives of EVs, while AMDJ primarily addressed EV value chain development, infrastructure optimization, and challenges associated with technological implementation. This study represents the first thorough analysis of environmental EV research across sub-domains, one which identifies associations between research performance, collaboration, and sustainability measures. This thematic analysis demonstrates the interconnection between environmental themes and EV technological progress, highlighting the effect of environmental concerns on the direction of EV research. These findings provide implications for both scholarly research and policies associated with sustainable transportation development from an environmental perspective.</div></div>","PeriodicalId":47824,"journal":{"name":"International Journal of Sustainable Transportation","volume":"19 3","pages":"Pages 195-210"},"PeriodicalIF":3.1,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143724844","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":"Cluster-based route planning for electric vehicles travel time optimization","authors":"Alberto Ponso ,&nbsp;Angelo Bonfitto","doi":"10.1080/15568318.2025.2474029","DOIUrl":"10.1080/15568318.2025.2474029","url":null,"abstract":"<div><div>Private mobility electrification is slowed down by technical limitations, such as the low autonomy of electric vehicles (EVs) compared to internal combustion engine vehicles (ICEVs). As a consequence, accurate planning of the route is needed before a travel with an EV begins. Routing algorithms are of crucial importance to identify the route which allows to minimize total travel time, reducing the drawbacks of battery’s limited energy density. The complexity of the problem and the size of road networks considered for this task imply computational times which are not in line with users’ needs. The method proposed in this article employs clustering and pruning techniques to speed up planning by downsizing the network analyzed during route planning. By reducing the computational cost, it is possible to apply Dijkstra algorithm, which provides an exact minimization of total travel time.</div></div>","PeriodicalId":47824,"journal":{"name":"International Journal of Sustainable Transportation","volume":"19 3","pages":"Pages 277-296"},"PeriodicalIF":3.1,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143724841","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":"Outdoor information panels to convey real-time travel information for transit ridership recovery","authors":"Guocheng Jiang ,&nbsp;Song Gao ,&nbsp;Eleni Christofa","doi":"10.1080/15568318.2025.2462164","DOIUrl":"10.1080/15568318.2025.2462164","url":null,"abstract":"<div><div>Transit agencies in the United States have seen a drastic ridership decline since COVID-19. The research team collaborated with Massachusetts Bay Transportation Authority (MBTA) to utilize Outdoor Information Panels (OIPs) along major highways to deliver real-time travel information (RTTI) to encourage increased transit use. An online interview and a household survey were conducted in sequence to gather Great Boston Area (GBA) travelers’ travel experience, preferred RTTI contents, OIP graphic designs, and their stated mode shift in response to OIPs. The top three information items found to encourage transit use are real-time total travel time, next two train arrivals, and real-time parking availability. Additionally, travel cost is more influential for commuter rail (vs. subway) trips and major event (vs. generic) trips. 79% of transit user participants agree that OIPs would improve their travel experience. Trips with more flexible schedules and/or less requirement on carrying passengers and goods, such as social/recreational and major-event trips, are more influenced by RTTI than work, family, and shopping trips. Transit nonusers show a lower tendency to increase their transit use compared to transit users, with their potential increases varying more by trip purpose. A 2.1% emission reduction from work trips is estimated using a regional travel demand model for the GBA. Frequent transit users and nonusers (car users) contribute significantly to emission reductions. Frequent transit users contribute due to their substantial increase in transit use per person, despite being a smaller proportion of the traveling population, while nonusers contribute due to their large proportion, despite a smaller per-person increase in transit use.</div></div>","PeriodicalId":47824,"journal":{"name":"International Journal of Sustainable Transportation","volume":"19 3","pages":"Pages 247-261"},"PeriodicalIF":3.1,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143724842","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}