Towards modal choice decision-making models: A case study of Lagos state transport corporation bus riders |
| |
| Institution: | 1. School of Electrical Engineering, Wuhan University, Wuhan 430072, People’s Republic of China;2. Electric Power Research Institute, China Southern Power Grid, Guangzhou 510623, People’s Republic of China;1. Department of Physics, Dibrugarh University, Dibrugarh, 786004 Assam, India;2. Centre for Atmospheric Studies, Dibrugarh University, Dibrugarh, 786004 Assam, India;1. Key Lab for Special Functional Materials of Ministry of Education, Henan University, Kaifeng 475004, PR China;2. School of Optoelectonics, Beijing Institute of Technology, Beijing 100081, PR China;1. The University of North Carolina at Greensboro, USA;2. The University of North Carolina at Chapel Hill, USA;1. Dept. of Physics, Assam University (Diphu Campus), 782 460, India;2. Dept. of Physics, Rajiv Gandhi University, Itanagar, 791 112, India |
| |
| Abstract: | Identification of the socioeconomic factors which affect the demand for buses, and the analysis of the use of the other transport modes by bus users are the two main objectives of this article. Work and school trips are highlighted as being very important trip purposes in Lagos metropolis by the multiple discriminant analysis model. It identifies mode of transport, distance, travel time, reliability, and the number of stops as significant mode choice variables. Multiple linear regression models for work and school trips identify mode of transport, transfort fare, travel time, annual income, and crew behaviour as significant variables in the choice of transport mode. These findings support the two alternative hypotheses of the study that the choice of bus is related to the individual perception of the quality of service of the different modes and that socioeconomic characteristics of the riders influence the patronage of buses. The attention of policy makers for the 22 transport corporations that operate inter-and intra-urban services in all the 21 states and the federal capital of Abuja in Nigeria is drawn to the importance of these variables for decisions. |
| |
| Keywords: | |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
