Open AccessEffect of Car-Ownership and Income on Work and Non-Work Trip of Low-Income Households
Author(s) -
Busari,
Oyeronke Adebayo,
Alexandra Samuel,
Oyesomi Kehinde,
Opeyemi Joshua,
A. W. Olaniyi
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1378/2/022096
Subject(s) - trips architecture , car ownership , work (physics) , journey to work , unit (ring theory) , business , distribution (mathematics) , regression analysis , household income , transport engineering , geography , engineering , statistics , public transport , mathematics , mechanical engineering , mathematical analysis , mathematics education , archaeology
This research assessed the influence of car ownership on both work trips and non-work trips in a semi urban industrial settlement, Ota, Ogun State. This was achieved with the distribution of One thousand five hundred (1500) question forms for nine months in the study area. Information on the socio-economic parameters, car ownership, modal split and volume of trips of respondents were analyzed to develop a multiple regression model for the analysis. This was done for for all trip types (both work and non-work trip). The data was analyzed using SPSS version 23 software. The linear regression model explains 70.2% of the variance of the data. The positive value of the model coefficient showed that the higher the income and car ownership, then the higher the volume of trip. This analysis was done on the aggregate level (work and non-work trip). However, the trip is expected to go up by 8.4 unit when car ownership goes up by 1 unit. The coefficient revealed that car ownership had a higher effect on trip than income. The outcome of the research will help policy makers and transportation planners in order to understand the travel behaviour of the study area and similar cities in the world for sustainable transportation and effective transportation planning now and in the foreseeable future.