International Journal of Sustainable Transportation最新文献_第4页

Impacts of electric vehicles on traffic-power systems: A review 电动汽车对交通电力系统的影响：综述

IF 3.1 3区工程技术

International Journal of Sustainable Transportation Pub Date : 2025-02-01 DOI: 10.1080/15568318.2024.2449436

Jose Acedo Aguilar , Shian Wang

{"title":"Impacts of electric vehicles on traffic-power systems: A review","authors":"Jose Acedo Aguilar , Shian Wang","doi":"10.1080/15568318.2024.2449436","DOIUrl":"10.1080/15568318.2024.2449436","url":null,"abstract":"<div><div>This article offers a comprehensive summary of the profound impacts stemming from the integration of electric vehicles (EVs) into traffic-power systems. While the introduction of EVs promises to curtail greenhouse gas (GHG) emissions within the automotive sector, it could trigger a cascade of effects across the intertwined traffic-power system. These ramifications manifest in several key areas, including (i) shifts in driver behavior and route choice, (ii) alterations in energy consumption patterns, (iii) the expansion and placement of charging infrastructure, and (iv) the evolving demands placed on the electric grid. Although the current penetration rate of EVs remains relatively low, their increasing presence on the road will inevitably amplify these consequences, leading to altered traffic dynamics, more conservative driving behavior to reduce energy consumption, and an uptick in electricity demand during charging periods. This review meticulously summarizes the multifaceted effects of EV integration in these domains and outlines various strategies and technologies aimed at mitigating these challenges. These include eco-driving techniques that leverage intelligent vehicle controls to minimize energy consumption, innovative charging schemes to flatten the electricity demand curve, and the implementation of vehicle-to-everything (V2X) communication enabling vehicles to better respond to their surroundings, among others. In summary, this review seeks to consolidate the current academic consensus regarding EV performance within the integrated traffic-power network while paving the way for future research directions in this dynamic field.</div></div>","PeriodicalId":47824,"journal":{"name":"International Journal of Sustainable Transportation","volume":"19 2","pages":"Pages 103-120"},"PeriodicalIF":3.1,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143488045","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}

引用次数: 0

Associations of built environment with moped-sharing use: A vehicle-based approach 建筑环境与机动车辆共享使用的关联：基于车辆的方法

IF 3.1 3区工程技术

International Journal of Sustainable Transportation Pub Date : 2025-02-01 DOI: 10.1080/15568318.2025.2454693

Jen-Jia Lin , Qing-Qian Guo , Hung-Chi Liu

{"title":"Associations of built environment with moped-sharing use: A vehicle-based approach","authors":"Jen-Jia Lin , Qing-Qian Guo , Hung-Chi Liu","doi":"10.1080/15568318.2025.2454693","DOIUrl":"10.1080/15568318.2025.2454693","url":null,"abstract":"<div><div>In recent years, moped-sharing services have become popular in Asian and European cities, but existing literature provides limited information about factors influencing moped-sharing use. This research explored the associations of built environments with the probabilities that idle shared mopeds become rented through survival analyses. The study observations are from the global positioning system records of an anonymous moped-sharing operator in Taipei, Taiwan. The empirical results indicate the following findings: (1) The associations of density and diversity attributes with moped-sharing use can refer to those of other shared vehicle uses but are dissimilar to those of general mopeds. (2) Moped-sharing service operators are suggested to move idle shared mopeds from employment centers to areas with dense residential, school, or retailing activities; diverse floor uses, industries, or transit services; and dense streetlights or moped parking spaces. (3) Moped-sharing service operators are also suggested to develop vehicle-rebalancing strategies in accordance with the built environment attributes within different catchment area sizes and periods. (4) Moped sharing is a complementary service rather than a competitive service to other intracity public transport services.</div></div>","PeriodicalId":47824,"journal":{"name":"International Journal of Sustainable Transportation","volume":"19 2","pages":"Pages 133-148"},"PeriodicalIF":3.1,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143488049","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}

引用次数: 0

Impacts of high-speed rail on household carbon dioxide emissions: Evidence from China 高铁对家庭二氧化碳排放的影响：来自中国的证据

IF 3.1 3区工程技术

International Journal of Sustainable Transportation Pub Date : 2025-02-01 DOI: 10.1080/15568318.2025.2459614

Shuping Wu , Zan Yang , Shuyang Yao

引用次数: 0

Cycling accessibility to employment, schools, and grocery stores in Arizona metropolitan regions 在亚利桑那州的大都市地区，骑车可达就业、学校和杂货店

IF 3.1 3区工程技术

International Journal of Sustainable Transportation Pub Date : 2025-02-01 DOI: 10.1080/15568318.2025.2460637

Steven R. Gehrke , Manoj Kumar Allam , Armando E. Martinez , Ty M. Holliday , Brendan J. Russo , Edward J. Smaglik

{"title":"Cycling accessibility to employment, schools, and grocery stores in Arizona metropolitan regions","authors":"Steven R. Gehrke , Manoj Kumar Allam , Armando E. Martinez , Ty M. Holliday , Brendan J. Russo , Edward J. Smaglik","doi":"10.1080/15568318.2025.2460637","DOIUrl":"10.1080/15568318.2025.2460637","url":null,"abstract":"<div><div>The further motivation of bicycling as a utilitarian travel alternative has been identified as a viable solution to address societal concerns regarding physical inactivity, climate change, and transportation inequities. Yet, a profound increase in bicycling activity for many cities remains elusive to policymakers, practitioners, and researchers largely because of the inability to attract new bicyclists <em>via</em> safer bicycling infrastructure provision. To better understand current bicycling barriers to its future adoption, this study describes the advancement of the Cyclist Routing Algorithm for Network Connectivity (CRANC) and its application as an accessibility-oriented transportation planning tool in eight Arizona metropolitan regions. CRANC, an innovative bicyclist routing platform sensitive to bike network conditions and the varying traffic safety concerns of cyclist types (interested but concerned, enthused and confident, strong and fearless), is designed to support utilitarian bicycling promotion by identifying its latent demand. In this application, local and regional discrepancies in bicycling accessibility to jobs, schools, and grocery stores are identified and visualized by integrating the concepts of cyclist types and bicycle level of traffic stress into a new bicycling accessibility metric. Study findings show significant differences in place-based bicycling accessibility across key sociodemographic and economic indicators for the interested but concerned cyclist type, who prefers dedicated bike facilities, slower vehicle speeds, and lower traffic volumes. A recognition of these variations is important for promoting equitable bicycling access to subsistence and maintenance activities for those individuals who do not presently use this sustainable mode but would if barriers to access were removed.</div></div>","PeriodicalId":47824,"journal":{"name":"International Journal of Sustainable Transportation","volume":"19 2","pages":"Pages 180-193"},"PeriodicalIF":3.1,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143488048","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}

引用次数: 0

Methodology for developing models to estimate vehicle instantaneous energy consumption based on hub-type dyno test data 基于轮毂动态测试数据的车辆瞬时能耗估算模型开发方法

IF 3.1 3区工程技术

International Journal of Sustainable Transportation Pub Date : 2025-02-01 DOI: 10.1080/15568318.2025.2459616

Nicola Amati , Luis M. Castellanos Molina , Alessandro Mancarella , Omar Marello , Mario Silvagni

{"title":"Methodology for developing models to estimate vehicle instantaneous energy consumption based on hub-type dyno test data","authors":"Nicola Amati , Luis M. Castellanos Molina , Alessandro Mancarella , Omar Marello , Mario Silvagni","doi":"10.1080/15568318.2025.2459616","DOIUrl":"10.1080/15568318.2025.2459616","url":null,"abstract":"<div><div>This paper describes a methodology to develop simple energy consumption models of road vehicles exploiting transient experimental datasets obtained from a vehicle/powertrain four-dyno testbed available at the Center for Automotive Research and Sustainable mobility (CARS@POLITO) of Politecnico di Torino. These models, based on a locally weighted linear regression method, can serve as a simpler alternative to more conventional methods based, for example, on engine maps obtained by steady-state characterization at engine testbeds, and combined with powertrain subsystem models. The present methodology was applied to a conventional diesel-powered vehicle. Three different modeling approaches are proposed: vehicle-based (VB), engine-based (EB) and engine-based modified (EB*). The VB approach is the simplest, being able to estimate the vehicle fuel consumption by only using, as inputs, wheel torque and speed, while the EB and EB* approaches enhance modeling accuracy by using engine speed and torque, as inputs, along with transmission-related parameters and/or by considering the moments of inertia of the powertrain rotating parts. The manuscript describes, in full, the process used to develop these models, providing significant guidance for researchers who may want to replicate the procedure with their own experimental data. These energy consumption models can be useful tools for the development and assessment of eco-driving or ADAS functions or for energy consumption comparison between different vehicles that were not tested on the same driving cycle. They can also support the estimation of the total energy consumption of vehicles along different traffic conditions or routes, based on a limited number of experiments and low computational effort.</div></div>","PeriodicalId":47824,"journal":{"name":"International Journal of Sustainable Transportation","volume":"19 2","pages":"Pages 165-179"},"PeriodicalIF":3.1,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143488050","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}

引用次数: 0

Light-duty plug-in electric vehicle adoption: County-level emissions benefits using consumption-based emissions intensities 轻型插电式电动汽车的采用：使用基于消费的排放强度，县级排放效益

IF 3.1 3区工程技术

International Journal of Sustainable Transportation Pub Date : 2025-01-02 DOI: 10.1080/15568318.2024.2443827

Xinyi Wu , Yan Zhou , David Gohlke , Jarod Kelly

{"title":"Light-duty plug-in electric vehicle adoption: County-level emissions benefits using consumption-based emissions intensities","authors":"Xinyi Wu , Yan Zhou , David Gohlke , Jarod Kelly","doi":"10.1080/15568318.2024.2443827","DOIUrl":"10.1080/15568318.2024.2443827","url":null,"abstract":"<div><div>The electrification of light-duty vehicles (LDVs) is essential for decarbonizing the transportation sector in the United States. Both federal and state governments have begun promoting and incentivizing the adoption of plug-in electric vehicle (PEV) (battery electric vehicles (BEV) and plug-in hybrid electric vehicles (PHEV)) to reduce LDV greenhouse gas (GHG) emissions greatly. However, there remains a critical need for a robust methodology to accurately quantify the distributed emissions impacts of PEV adoption at a granular regional level. Additionally, the role of electricity traded across electrical grids in regional GHG mitigation efforts often goes unrecognized. This study addresses these gaps by developing a top-down approach for assessing county-level emissions benefits arising from PEV adoption while accounting for upstream emissions due to electricity flow across regions. Our findings underscore the significant influence of regional variations in future PEV adoption rates and vehicle usage patterns on emissions reduction potential. Nevertheless, these benefits can be tempered by local emission intensities associated with electricity generation. Importantly, our study reaffirms the necessity of considering electricity flow dynamics across grids in estimating local GHG mitigation outcomes.</div></div>","PeriodicalId":47824,"journal":{"name":"International Journal of Sustainable Transportation","volume":"19 1","pages":"Pages 72-82"},"PeriodicalIF":3.1,"publicationDate":"2025-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143453716","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}

引用次数: 0

Sustainable transportation through data science: Case studies from the automotive industry 通过数据科学实现可持续交通：来自汽车行业的案例研究

IF 3.1 3区工程技术

International Journal of Sustainable Transportation Pub Date : 2025-01-02 DOI: 10.1080/15568318.2024.2443821

Yang Zhao , Peijun Li , Yuan Zhang , Xiaoxia Li , Fan Zhang

{"title":"Sustainable transportation through data science: Case studies from the automotive industry","authors":"Yang Zhao , Peijun Li , Yuan Zhang , Xiaoxia Li , Fan Zhang","doi":"10.1080/15568318.2024.2443821","DOIUrl":"10.1080/15568318.2024.2443821","url":null,"abstract":"<div><div>The automotive industry is undergoing transformative changes propelled by the progress in technology, considerations for the environment, and the evolving tastes of consumers. This quantitative research endeavors to investigate the impact of data-driven advancements in the automotive sector. The research methodology employed a purposive sampling technique, targeting diverse stakeholders within the Chinese automotive industry. A structured questionnaire served as the primary data collection tool. Through direct interactions and visits, 900 questionnaires were distributed over three days, yielding a robust response of 850 returned surveys. Following the removal of invalid responses, the study culled valid data from 800 participants. The collected data underwent analysis using SPSS statistical software. Findings reveal significant trends in the industry, such as the increasing adoption of electric vehicles, evolving customer preferences for advanced features, and the potential impact of ride-sharing and car-sharing services on individual car ownership. Furthermore, the investigation identifies the crucial role of data analysis, predictive analytics, IoT devices, and big data in shaping various aspects of the automotive sector. The study’s novelty lies in its quantitative approach, providing objective insights into demographic characteristics, industry trends, and participants’ perspectives. The study’s exploration of data-driven design processes and their role in fostering innovation and user-friendly vehicles adds a distinctive layer to understanding the transformative impact of data science on automotive development. Overall, this research contributes valuable knowledge for industry practitioners, policymakers, and scholars interested in the intersection of data science and automotive advancements.</div></div>","PeriodicalId":47824,"journal":{"name":"International Journal of Sustainable Transportation","volume":"19 1","pages":"Pages 55-71"},"PeriodicalIF":3.1,"publicationDate":"2025-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143453927","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}

引用次数: 0

Carbon neutrality in transportation: In the context of renewable sources 交通运输中的碳中和：在可再生能源的背景下

IF 3.1 3区工程技术

International Journal of Sustainable Transportation Pub Date : 2025-01-02 DOI: 10.1080/15568318.2024.2447999

Rachit Soni , Akshay Dvivedi , Pradeep Kumar

{"title":"Carbon neutrality in transportation: In the context of renewable sources","authors":"Rachit Soni , Akshay Dvivedi , Pradeep Kumar","doi":"10.1080/15568318.2024.2447999","DOIUrl":"10.1080/15568318.2024.2447999","url":null,"abstract":"<div><div>GHGs significantly impact climate change, adversely affecting both the environment and human well-being. As energy production and transportation are among the primary contributors to these emissions, many nations have implemented strategies to transition to renewable energy and reduce emissions by 2050-2070. This review focuses on identifying effective policies and pathways to achieve carbon neutrality in the transport supply chain. A bibliometric analysis highlights the growing importance of hydrogen and biomass-generated energy. Key trends include alternative fuels, hydrogen, electric vehicles, solar and wind energy, carbon neutrality, and GHG mitigation. In both the short and long term, integrating green transportation innovations, renewable energy consumption, and sustainable economic growth can substantially lower carbon emissions. Factors such as population growth, urbanization rates, coal consumption, renewable energy adoption, and the increasing use of electric vehicles (EVs) are emerging as critical drivers of environmental sustainability and net-zero emission goals. Policymakers are strongly encouraged to prioritize and implement optimal strategies that capitalize on these opportunities to advance carbon neutrality objectives.</div></div>","PeriodicalId":47824,"journal":{"name":"International Journal of Sustainable Transportation","volume":"19 1","pages":"Pages 1-15"},"PeriodicalIF":3.1,"publicationDate":"2025-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143453836","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}

引用次数: 0

E-bike crashes: Who they affect and which circumstances to avoid? 电动自行车事故：谁会受到影响，哪些情况需要避免？

IF 3.1 3区工程技术

International Journal of Sustainable Transportation Pub Date : 2025-01-02 DOI: 10.1080/15568318.2024.2447993

Yuntong Zhou , Natalia Barbour , Mohamed Abdel-Aty , Xin Gu , Yanyan Chen

{"title":"E-bike crashes: Who they affect and which circumstances to avoid?","authors":"Yuntong Zhou , Natalia Barbour , Mohamed Abdel-Aty , Xin Gu , Yanyan Chen","doi":"10.1080/15568318.2024.2447993","DOIUrl":"10.1080/15568318.2024.2447993","url":null,"abstract":"<div><div>In the last decade, the popularity of e-bikes has increased as they have shown potential to relieve congestion and aid the environment. However, with the increase of their popularity, there has been also an increase in their traffic crashes. This study aims to understand factors playing a role in the e-bike crash injury outcomes. The analysis uses 1,351 records of e-bike crashes to estimate random parameters multinomial logit models with heterogeneity in the means and variances of random parameters in four groups. This paper also seeks to provide insights into e-bike crash injury severities across gender (female versus male) and lighting conditions (daytime and nighttime) specific models. Numerous likelihood ratio tests were performed to justify splitting the data. It was found that a variety of factors relating to the weather and road characteristics, crash type, and rider’s demographics play a role in crash outcomes. Particularly interesting are findings relating to the rollover crashes increasing the likelihood of severe outcomes as well as gender specific effects with, for example, male riders have a higher probability of severe injuries during peak traffic hours. The findings can be used to support e-bike safety as well as advocate for a more nuanced and inclusive approach relating to e-bike travel.</div></div>","PeriodicalId":47824,"journal":{"name":"International Journal of Sustainable Transportation","volume":"19 1","pages":"Pages 83-101"},"PeriodicalIF":3.1,"publicationDate":"2025-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143453835","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}

引用次数: 0

Dynamic model to assess the impacts of government support for electric vehicles on the economy and environment sectors in Indonesia 动态模型，以评估印尼政府支持电动汽车对经济和环境部门的影响

IF 3.1 3区工程技术

International Journal of Sustainable Transportation Pub Date : 2025-01-02 DOI: 10.1080/15568318.2024.2443825

Erma Suryani , M. S. Fadlillah , R. A. Hendrawan , Mudjahidin Mudjahidin , R. J. Pramundito , A. A. Zahra , S. Y. Chou , Anindhita Dewabharata , Z. U. Rizqi , Rafika Rahmawati

{"title":"Dynamic model to assess the impacts of government support for electric vehicles on the economy and environment sectors in Indonesia","authors":"Erma Suryani , M. S. Fadlillah , R. A. Hendrawan , Mudjahidin Mudjahidin , R. J. Pramundito , A. A. Zahra , S. Y. Chou , Anindhita Dewabharata , Z. U. Rizqi , Rafika Rahmawati","doi":"10.1080/15568318.2024.2443825","DOIUrl":"10.1080/15568318.2024.2443825","url":null,"abstract":"<div><div>This research proposes a comprehensive analysis of the environmental and economic impacts of electric vehicle (EVs) adoption using system dynamics modeling. A system dynamics framework is utilized to integrate various aspects of EVs, economy, environment, and impact of policies on those sectors. Stock and flow diagrams were used to model and predict the impact of government support on electric vehicles based on the existing and future conditions through several proposed strategies. This research mainly contributes to providing causal relationships of variables and parameters influencing the number of EVs and their impact on the economy and environment, modeling and simulation of several sub-systems based on the existing condition, and scenario modeling to predict and improve the number of EV, economic value, and environmentally friendly in the future. This research examines how different policies for electric vehicles (EVs) might affect the numbers of people use them, the pollution caused, and the cost spent. They looked at total emissions, yearly budget, and the number of electric cars and motorcycles. The results show that continuing or increasing government help (scenarios SCN2 & SCN3) for EVs leads to the biggest pollution reduction. Focusing on developing new technologies and industries for EVs (SCN4) shows the biggest short-term pollution reduction. The key takeaway is that long-term support for EVs and technological advancements are essential for success. Finding a balance between the initial costs and the long-term benefits is crucial when designing policies for EVs.</div></div>","PeriodicalId":47824,"journal":{"name":"International Journal of Sustainable Transportation","volume":"19 1","pages":"Pages 35-54"},"PeriodicalIF":3.1,"publicationDate":"2025-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143453837","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}

引用次数: 0