Individual exposure estimates may be erroneous when spatiotemporal variability of air pollution and human mobility are ignored

摘要: This study aims to empirically demonstrate the necessity consider both spatiotemporal variability of air pollution and individual daily movement patterns in exposure health risk assessment. It compares four different types estimates generated by using (1) data hourly concentrations; (2) average data; (3) residential location levels; (4) data. These are significantly different, which supports argument that ignoring environmental factors human mobility may lead misleading results Additionally, three-dimensional (3D) geovisualization presented paper shows how person-specific space-time context is interactions between an individual, individualized contexts place individuals at levels risk.