Estimation of inter-city travel demand for public road transport in Nigeria

  • Declan Ndukauba Dike Federal University of Technology, Owerri, Imo State, Nigeria
  • Callistus Chigozie Ibe Federal University of Technology, Owerri, Imo State, Nigeria
  • Ejem Agwu Ejem Federal University of Technology, Owerri, Imo State, Nigeria http://orcid.org/0000-0002-2613-5654
  • Onyinyechi Erumaka Federal University of Technology, Owerri, Imo State, Nigeria
  • Oluchi Ebere Chukwu Federal University of Technology, Owerri, Imo State, Nigeria

Abstract

This paper models an intercity travel demand which uses the principal structural variables that have been identified in the literature. This research develops an urban public travel demand model for 19 directional O-D city-pair network originating from Owerri Urban. Using revealed preference data from the period of 2014 to 2016 which was filtered into 207 observations operated by the 16 transport companies in Owerri, Imo State. The empirical analysis explicitly modelled the pattern of correlations among service variables by a log-linear model using OLS. The estimates yield better demand elasticities than those of direct linear models. Other empirical findings include that; overall fares elasticities are low, so that increases in fare levels will almost always lead to increases in revenue. However, it is possible for any would-be operator determine the expected patronage on any route of operation using the derived models from this paper. Thus this paper has come up with empirical model to assess the viability of intercity passenger transport operation in Nigeria. However, it will also help the operators in business to do a sensitivity analysis based of changes in the intercity passenger travel markets in Nigeria.

Published
Dec 19, 2018
How to Cite
DIKE, Declan Ndukauba et al. Estimation of inter-city travel demand for public road transport in Nigeria. Journal of Sustainable Development of Transport and Logistics, [S.l.], v. 3, n. 3, p. 88-98, dec. 2018. ISSN 2520-2979. Available at: <https://jsdtl.sciview.net/index.php/jsdtl/article/view/56>. Date accessed: 26 may 2019. doi: http://dx.doi.org/10.14254/jsdtl.2018.3-3.7.