Impacts of travel activity and urbanicity on exposures to ambient oxides of nitrogen and on exposure disparities

被引:29
作者
Gurram, Sashikanth [2 ]
Stuart, Amy Lynette [1 ,2 ,3 ]
Pinjari, Abdul Rawoof [2 ]
机构
[1] Univ S Florida, Dept Environm & Occupat Hlth, Tampa, FL 33612 USA
[2] Univ S Florida, Dept Civil & Environm Engn, Tampa, FL 33612 USA
[3] Univ Western Australia, Sch Populat Hlth, Crawley, Australia
基金
美国国家科学基金会;
关键词
Traffic pollution; Human activity patterns; Environmental inequality; Urban form; Exposure error; AIR-POLLUTION EXPOSURE; LONG-TERM EXPOSURE; PERSONAL EXPOSURE; HEALTH-RISKS; CARDIOPULMONARY MORTALITY; ENVIRONMENTAL JUSTICE; SOCIOECONOMIC-STATUS; MEASUREMENT ERROR; BLACK CARBON; CANCER-RISK;
D O I
10.1007/s11869-014-0275-6
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Daily exposures to ambient oxides of nitrogen were estimated here for residents of Hillsborough County, FL. The 2009 National Household Travel Survey provided geocoded data on fixed activity locations during each person-day sampled. Routes between activity locations were calculated from transportation network data, assuming the quickest travel path. To estimate daily exposure concentrations for each person-day, the exposure locations were matched with diurnally and spatially varying ambient pollutant concentrations derived from CALPUFF dispersion model results. The social distribution of exposures was analyzed by comparing frequency distributions of grouped daily exposure concentrations and by regression modeling. To investigate exposure error, the activity-based exposure estimates were also compared with estimates derived using residence location alone. The mean daily activity-based exposure concentration for the study sample was 17 mu g/m(3), with values for individual person-day records ranging from 7.0 to 43 mu g/m(3). The highest mean exposure concentrations were found for the following groups: black (20 mu g/m(3)), below poverty (18 mu g/m(3)), and urban residence location (22 mu g/m(3)). Urban versus rural residence was associated with the largest increase in exposure concentration in the regression (8.3 mu g/m(3)). Time in nonresidential activities, including travel, was associated with an increase of 0.2 mu g/m(3) per hour. Time spent travelling and at nonresidential locations contributed an average of 6 and 24 %, respectively, to the daily estimate. A mean error of 3.6 %, with range from -64 to 58 %, was found to result from using residence location alone. Exposure error was highest for those who travel most, but lowest for the sociodemographic subgroups with higher mean exposure concentrations (including blacks and those from below poverty households). This work indicates the importance of urbanicity to social disparities in activity-based air pollution exposures. It also suggests that exposure error due to using residence location may be smaller for more exposed groups.
引用
收藏
页码:97 / 114
页数:18
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