Examining the effects of residential location and stated residential preferences on activity space size and centricity

Abstract Activity spaces are used to capture patterns in urban mobility and portray the spatial distribution of day-to-day activities. The literature exploring variation individual activity identifies strong associations between several space characteristics built environment residential location. This cross-sectional study adds this evidence by examining whether these persist after adjusting for self-selection. Adults’ everyday was studied using public participation GIS, a participatory mapping method allowing large-scale collection laymen-produced data. were defined with customized minimum convex polygon modelled on respondents’ frequently visited locations. We linear regression multinomial logistic analyses preferences, location, size centricity. According our results, location significantly influences polycentricity models adjusted stated preferences individual-level covariates.