C A Enyinda, M S Stephens


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.

Keywords: activity-based travel analysis; trip times; households; utils

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