The neighborhood effect averaging problem or NEAP delves into the challenges associated with understanding the influence of aggregating neighborhood-level phenomena on individuals when mobility-dependent exposures influence the phenomena.[1][2][3] The problem confounds the neighbourhood effect, which suggests that a person's neighborhood impacts their individual characteristics, such as health.[4][5] It relates to the boundary problem, in that delineated neighborhoods used for analysis may not fully account for an individual's activity space if the borders are permeable, and individual mobility crosses the boundaries. The term was first coined by Mei-Po Kwan in the peer-reviewed journal "International Journal of Environmental Research and Public Health" in 2018.[1][2]
^Xu, Tiantian; Wang, Shiyi; Liu, Qing; Kim, Junghwan; Zhang, Jingyi; Ren, Yiwen; Ta, Na; Wang, Xiaoliang; Wu, Jiayu (August 2023). "Vegetation color exposure differences at the community and individual levels: An explanatory framework based on the neighborhood effect averaging problem". Urban Forestry & Urban Greening. 86. Bibcode:2023UFUG...8628001X. doi:10.1016/j.ufug.2023.128001.
^Ham, Maarten van; Manley, David (2012). "Neighbourhood Effects Research at a Crossroads. Ten Challenges for Future Research Introduction". Environment and Planning A: Economy and Space. 44 (12): 2787–2793. doi:10.1068/a4543.
^Parry, Marc (5 November 2012). "The Neighborhood Effect". THE CHRONICLE REVIEW. The Chronicle of Higher Education. Retrieved 7 October 2023.