Journal
ANNALS OF THE AMERICAN ASSOCIATION OF GEOGRAPHERS
Volume 111, Issue 1, Pages 121-140Publisher
ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
DOI: 10.1080/24694452.2020.1756208
Keywords
air pollution; human mobility; neighborhood effect; neighborhood effect averaging problem (NEAP); uncertain geographic context problem (UGCoP)
Categories
Funding
- U.S. National Science Foundation [BCS-2025783]
Ask authors/readers for more resources
The Neighborhood Effect Averaging Problem (NEAP) can lead to erroneous assessments when studying mobility-dependent exposures such as air or noise pollution. A study conducted in the Los Angeles metropolitan statistical area on 2,737 individuals showed that high-income, employed, younger, and male participants tend to have higher levels of neighborhood effect averaging compared to low-income, nonworking, older, and female participants.
The neighborhood effect averaging problem (NEAP) can be a serious methodological problem that leads to erroneous assessments when studying mobility-dependent exposures (e.g., air or noise pollution) because people's daily mobility could amplify or attenuate the exposures they experienced in their residential neighborhoods. Specifically, the NEAP suggests that individuals' mobility-based exposures tend toward the mean level of the participants or population of a study area when compared to their residence-based exposures. This research provides an in-depth examination of the NEAP and how the NEAP is associated with people's daily mobility through an assessment of individual exposures to ground-level ozone using the activity-travel diary data of 2,737 individuals collected in the Los Angeles metropolitan statistical area. The results obtained with exploratory analysis (e.g., a scatterplot and histograms) and spatial regression models indicate that the NEAP exists when assessing individual exposures to ozone in the study area. Further, high-income, employed, younger, and male participants (when compared to low-income, nonworking, older, and female participants) are associated with higher levels of neighborhood effect averaging because of their higher levels of daily mobility. Finally, three-dimensional interactive geovisualizations of the space-time paths and hourly ozone exposures of seventy-one selected participants who live in the same neighborhood corroborate the findings obtained from the spatial regression analysis.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available