Agent based modeling and simulation approach to identify and classify the key influential factors for satisfaction of public transport users
Document Type
Journal Article
Publication Date
2026
Subject Area
place - africa, ridership - commuting, ridership - modelling, ridership - disadvantage, planning - service improvement, planning - personal safety/crime, planning - service quality
Keywords
Agent based modeling and simulation, disadvantaged areas, public transportation, satisfaction
Abstract
The issue of mobility from disadvantaged areas to places of interest for work, health care, education, or entertainment poses specific challenges that cannot be approached under the same prism as that of well-resourced areas. In such areas, commuters are often captive of available transportation modes. However, very few studies have focused on identifying the key factors that influence the satisfaction of these commuters. In this paper, we introduce an agent based modeling and simulation approach, to identify and classify these factors. We show, for the case study of a township in South Africa, that speed and quality of the infrastructure are crucial factors, while waiting time and accessibility are to be improved; safety and travel time being to be watched. Then recommendations are provided to improve the service according to these factors.
Rights
Permission to publish the abstract has been given by Taylor&Francis, copyright remains with them.
Recommended Citation
Cele, N., Kibangou, A. Y., & Musakwa, W. (2026). Agent based modeling and simulation approach to identify and classify the key influential factors for satisfaction of public transport users. Journal of Intelligent Transportation Systems, 30(2), 387-401.
