TRIP GENERATION ANALYSIS IN A DEVELOPING COUNTRY CONTEXT

Abstract

A household trip rate analysis that uses the cross-classification method and applies in a developing country context is presented. The importance of choosing, defining, and classifying variables and using an appropriate analytic technique related to the socioeconomic values and travel behavior of residents in developing countries is stressed. Trip rates, expressed as the average number of person-trips per household classified by purpose of trip and mode of travel, were established for four variables of the household (income, size, car ownership, and number of employed persons). Household income and size were each classified into six groups, and car ownership and number of employed persons were classified into four and three groups, respectively. The standard cross-classification method was used to determine which household characteristics, given limited data, most influence trip making. The results indicate that large household sizes reflecting the extended family system in developing countries significantly affect trip making. Together with car ownership and the number of employed persons in the household, household size as a variable performs significantly better than household income for work, school, and shopping trips, which make up more than 60% of total household trips.

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