Disparities in Exposure to Automobile and Truck Traffic and Vehicle Emissions Near the Los Angeles–Long Beach Port Complex

Bibliographic Data

ID11019752
AuthorsDouglas Houston (0000-0002-3901-6072, Douglas Houston is with the Department of Planning, Policy, and Design, School of Social Ecology, University of California, Irvine. Wei Li is with the Department of Landscape Architecture and Urban Planning, Texas A&M University, College Station. Jun Wu is with the Program in Public Health and Department of Epidemiology, University of California, Irvine.), Wei Li (0000-0002-3581-849X, Douglas Houston is with the Department of Planning, Policy, and Design, School of Social Ecology, University of California, Irvine. Wei Li is with the Department of Landscape Architecture and Urban Planning, Texas A&M University, College Station. Jun Wu is with the Program in Public Health and Department of Epidemiology, University of California, Irvine.), Jun Wu (0000-0002-2693-7112, Douglas Houston is with the Department of Planning, Policy, and Design, School of Social Ecology, University of California, Irvine. Wei Li is with the Department of Landscape Architecture and Urban Planning, Texas A&M University, College Station. Jun Wu is with the Program in Public Health and Department of Epidemiology, University of California, Irvine.)
Year2014
Volume104
Issue1
Pages156-164
Publication date2014-01-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueAmerican Journal of Public Health (JOURNAL)
Journal identifiersISSN: 0090-0036 • E-ISSN: 1541-0048
PublisherAmerican Public Health Association (PUBLISHER • US)
DOI10.2105/ajph.2012.301120
PMID23678919
OpenAlexW2087359634
LanguageEN
Citations received17
References cited52

Objectives. We assessed how traffic and mobile-source air pollution impacts are distributed across racial/ethnic and socioeconomically diverse groups in port-adjacent communities in southern Los Angeles County, which may experience divergent levels of exposure to port-related heavy-duty diesel truck traffic because of existing residential and land use patterns. Methods. We used spatial regression techniques to assess the association of neighborhood racial/ethnic and socioeconomic composition with residential parcel-level traffic and vehicle-related fine particulate matter exposure after accounting for built environment and land use factors. Results. After controlling for factors associated with traffic generation, we found that a higher percentage of nearby Black and Asian/Pacific Islander residents was associated with higher exposure, a higher percentage of Hispanic residents was associated with higher traffic exposure but lower vehicle particulate matter exposure, and areas with lower socioeconomic status experienced lower exposure. Conclusions. Disparities in traffic and vehicle particulate matter exposure are nuanced depending on the exposure metric used, the distribution of the traffic and emissions, and pollutant dispersal patterns. Future comparative research is needed to assess potential disparities in other transportation and goods movement corridors

Environmental health · Geography · Particulates · Poison control · Population · Port (circuit theory) · Socioeconomic status · Socioeconomics · Truck · Air Quality and Health Impacts · Ecology · Engineering · Environmental Science · Medicine · Urban Transport and Accessibility · Vehicle emissions and performance

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