Saewoom Jang , Junseo Park , Gahyeong Yu , Jinuk Hwang
{"title":"考虑空间尺度和减缓战略的交通排放估算工具:系统综述","authors":"Saewoom Jang , Junseo Park , Gahyeong Yu , Jinuk Hwang","doi":"10.1080/15568318.2025.2502558","DOIUrl":null,"url":null,"abstract":"<div><div>Estimation of road traffic emissions is crucial for achieving sustainable development goals, particularly in urban areas where transportation significantly contributes. This study systematically reviews research utilizing traffic simulation tools and emission models to estimate road traffic emissions at regional, city, and district levels. It aims to offer practitioners and researchers practical guidance on selecting the most appropriate tools and models to predict traffic emissions based on spatial scope and strategic objectives for emissions mitigation. The findings emphasize the importance of aligning emission estimation methods with targeted mitigation strategies and spatial contexts. This review provides a valuable resource by illustrating optimal combinations of tools and models tailored to different spatial scales and policy goals.</div></div>","PeriodicalId":47824,"journal":{"name":"International Journal of Sustainable Transportation","volume":"19 5","pages":"Pages 431-445"},"PeriodicalIF":3.1000,"publicationDate":"2025-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Tools for estimating traffic emissions considering spatial scales and mitigation strategies: A systematic review\",\"authors\":\"Saewoom Jang , Junseo Park , Gahyeong Yu , Jinuk Hwang\",\"doi\":\"10.1080/15568318.2025.2502558\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Estimation of road traffic emissions is crucial for achieving sustainable development goals, particularly in urban areas where transportation significantly contributes. This study systematically reviews research utilizing traffic simulation tools and emission models to estimate road traffic emissions at regional, city, and district levels. It aims to offer practitioners and researchers practical guidance on selecting the most appropriate tools and models to predict traffic emissions based on spatial scope and strategic objectives for emissions mitigation. The findings emphasize the importance of aligning emission estimation methods with targeted mitigation strategies and spatial contexts. This review provides a valuable resource by illustrating optimal combinations of tools and models tailored to different spatial scales and policy goals.</div></div>\",\"PeriodicalId\":47824,\"journal\":{\"name\":\"International Journal of Sustainable Transportation\",\"volume\":\"19 5\",\"pages\":\"Pages 431-445\"},\"PeriodicalIF\":3.1000,\"publicationDate\":\"2025-05-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Sustainable Transportation\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/org/science/article/pii/S1556831825000206\",\"RegionNum\":3,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENVIRONMENTAL STUDIES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Sustainable Transportation","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/org/science/article/pii/S1556831825000206","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENVIRONMENTAL STUDIES","Score":null,"Total":0}
Tools for estimating traffic emissions considering spatial scales and mitigation strategies: A systematic review
Estimation of road traffic emissions is crucial for achieving sustainable development goals, particularly in urban areas where transportation significantly contributes. This study systematically reviews research utilizing traffic simulation tools and emission models to estimate road traffic emissions at regional, city, and district levels. It aims to offer practitioners and researchers practical guidance on selecting the most appropriate tools and models to predict traffic emissions based on spatial scope and strategic objectives for emissions mitigation. The findings emphasize the importance of aligning emission estimation methods with targeted mitigation strategies and spatial contexts. This review provides a valuable resource by illustrating optimal combinations of tools and models tailored to different spatial scales and policy goals.
期刊介绍:
The International Journal of Sustainable Transportation provides a discussion forum for the exchange of new and innovative ideas on sustainable transportation research in the context of environmental, economical, social, and engineering aspects, as well as current and future interactions of transportation systems and other urban subsystems. The scope includes the examination of overall sustainability of any transportation system, including its infrastructure, vehicle, operation, and maintenance; the integration of social science disciplines, engineering, and information technology with transportation; the understanding of the comparative aspects of different transportation systems from a global perspective; qualitative and quantitative transportation studies; and case studies, surveys, and expository papers in an international or local context. Equal emphasis is placed on the problems of sustainable transportation that are associated with passenger and freight transportation modes in both industrialized and non-industrialized areas. All submitted manuscripts are subject to initial evaluation by the Editors and, if found suitable for further consideration, to peer review by independent, anonymous expert reviewers. All peer review is single-blind. Submissions are made online via ScholarOne Manuscripts.