International Journal of Sustainable Transportation最新文献

{"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}

{"title":"Impacts of transport and recreational walkability on health and life satisfaction","authors":"Hsu-Sheng Hsieh","doi":"10.1080/15568318.2025.2462161","DOIUrl":"10.1080/15568318.2025.2462161","url":null,"abstract":"<div><div>Research has investigated well-being relationships to walking and built environments. However, few studies have differentiated the impacts of environment walkability for transport and recreation on well-being. Therefore, this study identified perceived environment walkability (PEW) for transport and recreation separately and examined their associations with health status and life satisfaction. Data were collected from 300 residents in Taiwan by face-to-face questionnaire interviews. Structural equation modeling was used to examine the relationship between PEW, transport and recreational walking, body mass index, and health and life satisfaction, incorporating socioeconomic influences. Results indicated that perceptions of land use mix-access and street connectivity reflected PEW for transport, whereas perceptions of the two factors, aesthetics, land use mix-diversity, and walking facilities reflected PEW for recreation. Transport walking was not associated with well-being, but recreational walking was associated with higher health and life satisfaction. Moreover, higher BMI and lower health and life satisfaction were associated with car ownership. Based on the findings, policies for well-being improvement should promote recreational walking, instead of focusing solely on transport walking, by enhancing land use access and diversity, street connectivity, aesthetics, and walking facilities.</div></div>","PeriodicalId":47824,"journal":{"name":"International Journal of Sustainable Transportation","volume":"19 3","pages":"Pages 227-246"},"PeriodicalIF":3.1,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143724843","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":"Qualitative insights into travel behavior change from using private cars to shared cars","authors":"Ningyou Hou ,&nbsp;Barbara Shollock ,&nbsp;Tibor Petzoldt ,&nbsp;Rym M’Hallah","doi":"10.1080/15568318.2025.2471773","DOIUrl":"10.1080/15568318.2025.2471773","url":null,"abstract":"<div><div>Private car-based transport poses a global concern, including greenhouse gas emissions, traffic congestion, and associated health risks. These challenges necessitate a transition to more sustainable mobility solutions, such as carsharing. Shared cars offer potential benefits by reducing private car usage, improving vehicle utilization efficiency, and lowering transport emissions. However, the success of this transition relies on individuals voluntarily altering their travel behavior. This study uses the stage model of self-regulated behavioral change as a framework to investigate the factors driving behavioral shifts from private cars to carsharing. Through six focus groups conducted with 30 participants in London, UK, and subsequent content analysis, the research identifies the behavior process and key determinants influencing individuals’ intentions. The study also examines the potential of shared autonomous vehicles as an extension of carsharing, exploring their role in shaping future mobility systems. By offering a nuanced understanding of the nature of behavioral change and highlighting factors, this research provides insights for designing policies and carsharing services that address barriers and leverage facilitators to promote sustainable mobility.</div></div>","PeriodicalId":47824,"journal":{"name":"International Journal of Sustainable Transportation","volume":"19 3","pages":"Pages 262-276"},"PeriodicalIF":3.1,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143724845","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"What drives university students to cycle? An investigation of their motivations","authors":"Chiara Ricchetti ,&nbsp;Lucia Rotaris ,&nbsp;Mariangela Scorrano","doi":"10.1080/15568318.2025.2455010","DOIUrl":"10.1080/15568318.2025.2455010","url":null,"abstract":"<div><div>The objective of this study is to identify the factors that influence the increase in the number of students cycling to university. An online questionnaire was administered to 2,130 students at the University of Trieste (Italy) to assess their stated preferences for cycling in the presence of various infrastructure and facilities, including cycle lanes, green infrastructure, secure parking, and e-bike charging stations. The findings indicate that students are responsive to the financial aspects of cycling, suggesting that subsidies for the purchase of bicycles or bike-share services could increase cycling rates. However, the study also highlights that infrastructure factors—such as the availability of dedicated cycle lanes, secure bicycle parking, and e-bike charging points on campus—are equally, if not more, important in determining the likelihood of students cycling to university. Additionally, linear green infrastructure, such as roads with greenery along the edges (e.g. grass verges, trees, or bushes), was found to be the second most important type of infrastructure for encouraging students residing in the urban area to cycle. Latent psychological factors, such as perceptions of urban safety for cycling and anticipated health and fatigue effects, were also significant in influencing the decision to cycle. Our findings will be useful to policy makers, local authorities and university mobility managers in the design, planning and implementation of policies that can effectively increase the uptake of cycling for commuting to university.</div></div>","PeriodicalId":47824,"journal":{"name":"International Journal of Sustainable Transportation","volume":"19 3","pages":"Pages 211-226"},"PeriodicalIF":3.1,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143724077","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":"Planning for energy-efficient transport in a small town: Influence from different urban configurations of destination points and housing establishments","authors":"Mengjie Han ,&nbsp;Johan Håkansson ,&nbsp;Tony Svensson ,&nbsp;Xiaoyun Zhao","doi":"10.1080/15568318.2024.2448004","DOIUrl":"10.1080/15568318.2024.2448004","url":null,"abstract":"<div><div>Urban and transport planning can strongly affect energy usage induced by travel in cities. However, most studies investigate large cities with crude measurements of induced travel without consideration of the urban configuration of residences and their trip destinations, and little attention has been paid to smaller cities. We investigate energy usage (CO₂-emissions) from car travel in a small Swedish city using a novel approach based on detailed GPS-tracking data of actual car mobility to calculate CO₂-emissions on street segments and to identify major destinations. We also construct configuration scenarios, applied to the case city. These scenarios’ induced CO₂ emission from transports is evaluated in relation to the current configuration of the city. We find that changes in the urban configuration can impact on energy usage from intra-urban car travel by some 40% compared to the current situation and that the configurations display large relative differences in transport-efficiency, polycentric and public transport-based configurations being more efficient than monocentric development. We conclude that housing allocation is less important for car transport efficiency than re-location of existing destination points. Urban planning needs to be critical to over-simplified densification strategies and analyze the urban configuration to find optimal solutions.</div></div>","PeriodicalId":47824,"journal":{"name":"International Journal of Sustainable Transportation","volume":"19 2","pages":"Pages 121-132"},"PeriodicalIF":3.1,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143488046","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}