Open AccessModelling minicab drivers' disordered behaviour for choosing passenger and destination in Akure, Nigeria
Author(s) -
Adetayo Olaniyi Adeniran,
Olorunfemi Samuel,
Ikpechukwu Njoku
Publication year - 2022
Publication title -
international journal of advances in applied sciences
Language(s) - English
Resource type - Journals
eISSN - 2722-2594
pISSN - 2252-8814
DOI - 10.11591/ijaas.v11.i1.pp19-28
Subject(s) - multinomial logistic regression , variable (mathematics) , logistic regression , econometrics , statistics , travel time , mathematics , transport engineering , advertising , operations research , business , engineering , mathematical analysis
This study investigated the disordered behaviour of minicab drivers for choosing passenger and destination in Akure using the multinomial model and nested logit model respectively. Information was gathered by the distribution of questionnaires to minicab drivers plying Federal University of Technology Akure (FUTA) North gate to Oja-Oba axis in Akure, Nigeria. The objectives were to validate the performance of logit models; to identify the major parameters for selecting passenger and destination by disordered minicab drivers, and to examine the interrelationships of variables employed. Primary data was obtained from 314 respondents. The study found that the nested logit model gives better utility value than the multinomial logit model with ρ 0 2 = 0.48 more than ρ c 2 = 0.46 which justifies the assertion. Also, the major parameters for selecting passengers and destination by disordered minicab drivers in Akure are transport rates variable, distance variable, and travel time variable. The study recommends that an accurate pricing policy of minicab operation should be efficiently formulated, implemented, and enacted to prevent overcharge and undercharge.