Abstract

Historically, when analyzing the effect of land-use on transportation demand, research has 2 concentrated on a few key indicators, notably mode choice, VMT and number of trips. At the 3 same time, this literature has primarily focused on the effects of individual land-use variables: 4 e.g. what is the effect of land-use mixity or population density on mode choice. It is becoming 5 increasingly clear however that the isolated impact of particular measures of land-use on 6 individual and household transportation behavior is small, but that when dealt with using a 7 clustered approach, their combined influence becomes both less ambiguous in direction and 8 greater in magnitude. This paper contributes to the transportation and land-use literature by 9 examining the effect of clusters of land-use indicators on activity spaces, an emerging but 10 traditionally ignored, transportation behavior indicator. Regression analysis results point to a 11 significant relationship between large and dispersed activity spaces, low levels of population and 12 employment density, and low levels of public transit accessibility and land use mix.