%0 Journal Article
%T An activity
%A Kelly J Clifton
%A Steven R Gehrke
%J Environment and Planning B: Urban Analytics and City Science
%@ 2399-8091
%D 2019
%R 10.1177/2399808317690157
%X Integrating a diverse set of land use types within a neighborhood is a central tenet of smart growth policy. Over a generation of urban planning research has heralded the transportation, land use, and public health benefits arising from a balanced supply of local land uses, including the improved feasibility for pedestrian travel. However, land use mixing has largely remained a transportation-land use planning goal without a conceptually valid set of environmental indicators quantifying this multifaceted spatial phenomenon. In this study, we incorporated activity-based transportation planning and landscape ecology theory within a confirmatory factor analysis framework to introduce a land use mix construct indicative of the paired landscape pattern aspects of composition and configuration. We found that our activity-related land use mix measure, and not the commonly adopted entropy-based index, predicted walk mode choice and home-based walk trip frequency when operationalized at three geographic scales
%K Land use mix
%K built environment
%K smart growth
%K travel behavior
%K pedestrian models
%U https://journals.sagepub.com/doi/full/10.1177/2399808317690157