Abstract
The theoretical minimum commute is a well-studied measure of the jobs–housing balance that summarizes the relative proximity of workers to workplaces for a given urban region. It is often used in a comparative context to determine changes in aggregate spatial structure and transport behavior over time and space. In the literature, a basic question remains: What are the measurement impacts of assuming worker inter-changeability and therefore ignoring socioeconomic status in computing theoretical minimum commutes? This paper presents an exploratory spatial data analysis of this disaggregation issue. A modeling framework that synthesizes disaggregate socioeconomic data for a metropolitan area is designed. These synthesized data are then analyzed to gain a sense of the error potential in the theoretical minimum commute calculation when worker class is ignored. The results show that ignoring worker class can substantially affect estimates of the jobs–housing balance.
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