A System Dynamics Approach in Understanding the Mode Choice

Arun Bajracharya

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

While there is a general agreement that the use of public transportation should be encouraged, it has also been reported that the willingness and tendency to use the public transportation is dominated by the propensity of private car use. Consequently, the persistent increase in the modal share of private car has been a matter of concern in the context of growing cities. This research starts with the understanding that the entire state of the modal share in a city would be the collective reflection of the mode choice behaviour of individuals who populate the large population mass in the city. A causal feedback loop model is developed to study the individual mode choice behaviour in the context of a city. The model is then translated into a system dynamics simulation model. The context of Dubai has been considered in order to operationalise the simulation model. The simulation experiments revealed that it would be challenging to motivate individuals in using the public transportation in the city where private car has already been a dominant mode. It is also found that the very desire of individuals to own and use private car is one of the key points that should be addressed properly if the mode choice is to be influenced.

Original languageEnglish
Title of host publicationIntelligent Transportation and Planning
Subtitle of host publicationBreakthroughs in Research and Practice
PublisherIGI Global
Pages1066-1086
Number of pages21
ISBN (Electronic)9781522552116
ISBN (Print)9781522552109
DOIs
Publication statusPublished - 2018

ASJC Scopus subject areas

  • Social Sciences(all)
  • Engineering(all)

Fingerprint Dive into the research topics of 'A System Dynamics Approach in Understanding the Mode Choice'. Together they form a unique fingerprint.

  • Cite this

    Bajracharya, A. (2018). A System Dynamics Approach in Understanding the Mode Choice. In Intelligent Transportation and Planning: Breakthroughs in Research and Practice (pp. 1066-1086). IGI Global. https://doi.org/10.4018/978-1-5225-5210-9.ch048