Urban policy interventions to reduce traffic-related emissions and air pollution: A systematic evidence map

被引:27
|
作者
Khreis, Haneen [1 ]
Sanchez, Kristen A. [2 ,3 ]
Foster, Margaret [4 ]
Burns, Jacob [5 ]
Nieuwenhuijsen, Mark J. [6 ,7 ,8 ]
Jaikumar, Rohit [2 ]
Ramani, Tara [2 ]
Zietsman, Josias [2 ]
机构
[1] Univ Cambridge, Inst Metab Sci, Sch Clin Med, MRC Epidemiol Unit, Box 285, Cambridge Biomed Campus, Cambridge CB2 0QQ, England
[2] Texas A&M Transportat Inst TTI, Ctr Adv Res Transportat Emiss Energy & Hlth CARTEE, Bryan, TX USA
[3] Texas A&M Sch Publ Hlth, College Stn, TX USA
[4] Texas A&M Univ, Ctr Systemat Reviews & Res Synth, College Stn, TX USA
[5] Ludwig Maximilian Univ Munich, Inst Med Informat Proc Biometry & Epidemiol, Munich, Germany
[6] Barcelona Inst Global Hlth ISGlobal, Barcelona, Spain
[7] Univ Pompeu Fabra UPF, Barcelona, Spain
[8] CIBER Epidemiol & Salud Publ CIBERESP, Madrid, Spain
基金
欧洲研究理事会;
关键词
Urban; City; Policy; Intervention; Emissions; Traffic -related air pollution; Exposure; Health; Climate; Co; -Benefits; PARTICULATE MATTER; CHILDHOOD ASTHMA; ELECTRIC VEHICLES; NITROGEN-DIOXIDE; UNITED-STATES; QUALITY; EXPOSURE; EXHAUST; HEALTH; CHILDREN;
D O I
10.1016/j.envint.2023.107805
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Background: Urban areas are hot spots for human exposure to air pollution, which originates in large part from traffic. As the urban population continues to grow, a greater number of people risk exposure to traffic-related air pollution (TRAP) and its adverse, costly health effects. In many cities, there is a need and scope for air quality improvements through targeted policy interventions, which continue to grow including rapidly changing technologies. Objective: This systematic evidence map (SEM) examines and characterizes peer-reviewed evidence on urbanlevel policy interventions aimed at reducing traffic emissions and/or TRAP from on-road mobile sources, thus potentially reducing human exposures and adverse health effects and producing various co-benefits. Methods: This SEM follows a previously peer-reviewed and published protocol with minor deviations, explicitly outlined here. Articles indexed in Public Affairs Index, TRID, Medline and Embase were searched, limited to English, published between January 1, 2000, and June 1, 2020. Covidence was used to screen articles based on previously developed eligibility criteria. Data for included articles was extracted and manually documented into an Excel database. Data visualizations were created in Tableau. Results: We identified 7528 unique articles from database searches and included 376 unique articles in the final SEM. There were 58 unique policy interventions, and a total of 1,139 unique policy scenarios, comprising these
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页数:20
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