Compact development and VMT-Environmental determinism, self-selection, or some of both?

Reid Ewing, Shima Hamidi, James B Grace, 2016, in Enviroment and planning B: Planning and Design

doi:10.1177/0265813515594811
Location Utah
Population General
Sample size 2735
Factor analysis type principal components, none rotation
Stepwise regression no
Removal of insignificant variables no
Reviewed by NAH

Abstract

There is a long-running debate in the planning literature about the effects of the built environment on travel behavior and the degree to which apparent effects are due to the tendency of households to self-select into neighborhoods that reinforce their travel preferences. Those who want to walk will choose walkable neighborhoods, and those who want to use transit will choose transit-served neighborhoods. These households might have walked or used transit more than their neighbors wherever they lived. Most previous studies have shown that individual attitudes attenuate the relationship between the residential environment and travel choices, and so the effect of the built environment on travel may be overestimated. But there are other researchers who argue the reverse, claiming that residential preferences reinforce built environmental influences. This study assesses the relative importance of the built environment and residential preferences/travel attitudes for a sample of 962 households in the Greater Salt Lake region using structural equation modeling. For the sake of simplicity, we extracted two factors using principal component analysis, one representing the built environment and the other representing residential preferences/attitudes. Our findings are consistent with the view that the neighborhood built environment and residential preferences both influence household’s travel, that the built environment is the stronger influence, and that the built environment affects travel through two causal pathways, one direct and the other indirect, through attitudes. © 2015, © The Author(s) 2015.

Factors

Models

Source variable Target variable Effect p-value Effect type
Household Size Built environment factor -0.329 0.0 direct_effect
Income Built environment factor -0.133 0.002 direct_effect
Homeowner Built environment factor -0.508 0.0 direct_effect
Household Size Vehicles 0.228 0.0 direct_effect
Income Vehicles 0.299 0.0 direct_effect
Residential preference/attitude factor Vehicles -0.13 0.0 direct_effect
Workers Vehicles 0.325 0.0 direct_effect
Built environment factor Vehicles -0.078 0.007 direct_effect
Homeowner Vehicles 0.146 0.027 direct_effect
Vehicles Vmt 0.2 0.0 direct_effect
Household Size Vmt 0.322 0.0 direct_effect
Built environment factor Vmt -0.116 0.001 direct_effect
Workers Vmt 0.208 0.0 direct_effect
Residential preference/attitude factor Vmt -0.066 0.039 direct_effect
Homeowner Vmt 0.248 0.001 direct_effect
Residential preference/attitude factor Built environment factor 0.365 0.0 direct_effect
Source variable Target variable Effect p-value Effect type
Workers Residential preference/attitude factor 0.07 0.999 direct_effect
Household Size Vehicles 0.228 0.0 direct_effect
Income Vehicles 0.299 0.0 direct_effect
Built environment factor Vehicles -0.078 0.007 direct_effect
Workers Vehicles 0.325 0.0 direct_effect
Residential preference/attitude factor Vehicles -0.13 0.0 direct_effect
Homeowner Vehicles 0.146 0.027 direct_effect
Vehicles Vmt 0.2 0.0 direct_effect
Household Size Vmt 0.322 0.0 direct_effect
Residential preference/attitude factor Vmt -0.066 0.039 direct_effect
Workers Vmt 0.208 0.0 direct_effect
Built environment factor Vmt -0.116 0.001 direct_effect
Homeowner Vmt 0.248 0.001 direct_effect
Built environment factor Residential preference/attitude factor 0.443 0.0 direct_effect

The Attitudes and Travel Database is produced with support from the Center for Teaching Old Models New Tricks at Arizona State University, a University Transportation Center sponsored by the US Department of Transportation through Grant No. 69A3551747116.

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