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The study investigates travel demand in Akure using an activity-based analysis. Data was sourced by administering questionnaires to 1107 respondents living and working in Akure metropolis targeting the residents in Ajipowo, Alagbaka, Aule, Ijapo, Oba-Ile, Orita-Obele, and Shagari residential estates. The modelling methods in Activity-Travel Analysis incorporating the non-identical, non-independent random components uses one of two general structures: the first is an error-components structure and the second is the general multinomial Probit (MNP) structure. In this study, the first was used to determine the levels of utils accruable to households. A multiple regression analysis was subsequently done for the various estates. The findings show that Alagbaka and Ijapo have the largest fleet sizes because there are more rich people in that the estate. The following recommendations were made: an improved public transportation system  should be provided in the city, of a quality to persuade private car owners to use public transportation systems; mega schools should be decentralized more “mini-model schools” built with more geographic spread; the road network in Akure should be improved and existing link roads and street should be paved in order to take traffic off the main arteries and reduce trip time and costs