URBAN POLICY INTERVENTIONS TO REDUCE TRAFFIC-RELATED EMISSIONS AND AIR POLLUTION: A SYSTEMATIC EVIDENCE MAP
This systematic evidence map (SEM) examines and characterizes peer-reviewed evidence on urban-level policy interventions to reduce traffic emissions and/or TRAP from on-road mobile sources, thus potentially reducing human exposures and adverse health effects and producing various co-benefits.
DATABASE_URBAN_POLICY_INTERVENTIONS_TO_REDUCE_TRAFFIC_EMISSIONS_AND_TRAP.xlsxSize: 2 MB Last Modified: Wed Jan 25 2023The objective the systematic evidence map (SEM) is to examine and characterize the evidence on urban-level policy interventions that can be implemented by urban authorities to reduce traffic emissions and/or traffic-related air pollution (TRAP) from on-road mobile sources, thus potentially reducing human exposures and adverse health impacts. We created this open access, query-able database to facilitate the identification of relevant trends and gaps in the evidence base and serve as the foundation for future research and a reference for practice and policy recommendations. The database contains information for 376 articles and 1,139 policy scenarios within. There are 58 unique policy interventions documented which fall under one of the following overarching policy categories: 1) pricing, 2) land-use, 3) infrastructure, 4) behavioral, 5) technology, and 6) management, standards, and services. Urban authorities, such as cities, air agencies, local authorities including county and district councils, and metropolitan planning organizations (MPOs) or districts, are encouraged to use this database to identify information on various urban-level policy interventions implemented around the world to reduce traffic emissions and TRAP, and potentially yield benefits to human exposures and health and a wide range of documented social, environmental, climate and economic outcomes. |
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Haneen Khreis
MRC Epidemiology Unit, School of Clinical Medicine, University of Cambridge, Box 285 Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, United Kingdom; Email: [email protected]
Kristen A. Sanchez Center for Advancing Research in Transportation Emissions, Energy, and Health (CARTEEH), Texas A&M Transportation Institute (TTI), Texas, USA; Texas A&M School of Public Health, Texas, USA Email: [email protected] Margaret Foster Texas A&M University, Medical Sciences Library, College Station, Texas, USA Email: [email protected] Jacob Burns Institute for Medical Information Processing, Biometry and Epidemiology, Ludwig Maximilian University of Munich, Munich, Germany Email: [email protected] Mark J. Nieuwenhuijsen ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiologia y Salud Publica (CIBERESP), Madrid, Spain Email: [email protected] Rohit Jaikumar Center for Advancing Research in Transportation Emissions, Energy, and Health (CARTEEH), Texas A&M Transportation Institute (TTI), Texas, USA Email: [email protected] Tara Ramani Center for Advancing Research in Transportation Emissions, Energy, and Health (CARTEEH), Texas A&M Transportation Institute (TTI), Texas, USA Email: [email protected] Josias Zietsman Center for Advancing Research in Transportation Emissions, Energy, and Health (CARTEEH), Texas A&M Transportation Institute (TTI), Texas, USA Email: [email protected] |
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