This paper aims to provide a better understanding of the interactions between consumer behavior andmode choice. Data for this study were collected through a customer intercept survey in spring of 2011 atten grocery stores in the greater Portland area. A linear regression model of consumer spending isestimated to test the effects of mode, socio-demographic characteristics, time of shopping trip anddistance from store. A binary logistic regression model predicts the likelihood of using a non-auto modefor a grocery shopping trip based on socio-demographics, amount spent and several built environmentcharacteristics. Results show that mode choice strongly affects the amount spent, with customers in autosconsistently spending more than customers using other modes of travel. Results from the mode choicemodel are consistent with the expenditure model in that the amount spent is inversely associated withtaking non-auto modes, although the direction of causality is not clear. Findings also suggest that the builtenvironment and day of the week have a strong relationship with shopping mode. The implications ofthese results are limited by the lack of a full profile of customer shopping behaviors, includingfrequencies of shopping trips. Despite the limitations, this research sheds light on the relationshipbetween consumer expenditures and travel choices and contributes to this literature by examining therelationships between mode and grocery shopping.
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