Simulating Transport Mode Choices in Developing Countries

Abstract

Agent-based simulations have been used in modeling transportation systems to gain deeper understanding of travel behavior and transport mode choices. This study focuses on analyzing the factors that influence transportation mode decisions specifically in developing countries. As motorcycles are the preferred mode of transport in these economies, we have developed an agent-based model that includes two-wheeler vehicles as a transport alternative for commuters. Our model represents individuals who must make decisions regarding their choice of transport mode for their daily commute to work or school. These decisions are influenced by a combination of factors, including personal satisfaction, uncertainty about trying a new transport solution, and social comparisons of these two aspects within their social network. The model was ran using data from a Colombian city. The results show that our model represents the behavior of the system, which means in the absence of any policy intervention, the number of motorcycles and private cars will continue to increase in the coming years. This growth exacerbates negative impacts such as traffic congestion and road accidents, presenting significant challenges to the transportation system. Several key factors emerge as influential in the decision-making process. The time of travel and personal security considerations play a significant role, leading individuals to favor private transport alternatives over public transit. These findings underscore the need for targeted interventions that address these factors and promote sustainable and efficient modes of transportation.