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2025 (English)In: Transportation Research Part D: Transport and Environment, ISSN 1361-9209, E-ISSN 1879-2340, Vol. 149, article id 105029Article in journal (Refereed) Published
Abstract [en]
Reducing children's exposure to traffic-related noise and air pollution in urban areas is a critical challenge. Therefore, evaluating traffic management strategies in a computational environment offers a practical tool for planners, policymakers, and researchers. However, a key research gap remains: most studies evaluate traffic strategies on air pollution, noise, or traffic separately. Few quantify their combined impacts in a single framework. To address this, we propose a multi-criteria evaluation approach and apply it by comparing four scenarios against a baseline. Through a comprehensive panel of statistical, spatial, and temporal analyses of traffic conditions, air pollutant concentrations, and noise levels, we find that: (1) restricting vehicle access during student arrival times significantly reduces exposure to both noise and air pollution; and (2) speed limit reductions have only limited effects on noise and may, under certain conditions, increase air pollution levels.
Place, publisher, year, edition, pages
Elsevier BV, 2025
Keywords
Chain modeling, Co-exposure, Multi-criteria assessment, Traffic simulation, Traffic-related air pollution, Traffic-related noise pollution
National Category
Transport Systems and Logistics Other Civil Engineering
Identifiers
urn:nbn:se:kth:diva-372624 (URN)10.1016/j.trd.2025.105029 (DOI)001605955500002 ()2-s2.0-105019667064 (Scopus ID)
Note
QC 20251111
2025-11-112025-11-112025-11-11Bibliographically approved