Modelling the influence of socio-demographic attributes on students’ trip generation at Kwame Nkrumah University of Science and Technology (KNUST) campus

Abstract

ABSTRACT This research investigates the influence of socio-demographic attributes on students’ trip generation on the campus of Kwame Nkrumah University of Science and Technology (KNUST). A cross-sectional and mixed-method approach were employed, collecting primary data from 113 students through an online questionnaire. Multiple linear regression analysis and ordinal logistic regression explored the relationships between generated trips and socio-demographic attributes, including age, household size, vehicle ownership, educational level, income, and trip purpose. Age and household size were significant influencers of trip generation in the multiple linear regression. The ordinal logistic regression showed that, males are 2.40 times more likely to generate higher trip counts than females. Individuals aged 16–21 are 0.11 times less likely to produce more trips compared to older age groups. Single-occupant households have a 0.09 times lower likelihood of generating more trips than households with two or more occupants. However, individuals attending morning and afternoon lectures, only morning lectures, and morning and evening lectures among other activities have substantially higher odds of producing more trips, with odds ratios of 22.14, 15, and 567, respectively, compared to those exclusively attending evening lectures. Recommendations include improving shuttle services, pedestrian infrastructure, and promoting sustainable mobility solutions tailored to student demographics.