Modeling the Transport Mode Choice Behavior of Motorcyclists

Abstract

In this study, the mode choice behavior model is used to determine the key parameters influencing the motorcyclists’ mode choice. The findings can be used to shift the motorcycle mode choice toward public transport to reduce fatalities, injuries and economic losses. In order to create the proposed model, the stated-preference method and nested logit modeling are used to investigate the attributes affecting the individuals’ mode choice among three types of transportation including motorcycle, bus and LRT. The results indicated that two main attributes, namely traveling time and cost were involved in affecting the behavior of motorcyclists’ mode choice. However, the traveling time was taken into consideration more for choosing motorcycle mode. Considering the travel time elasticity, as the travel time increased up to 1%, the demand for using motorcycle decreased about 0.6% while the demand for using bus and LRT increased up to 1.3 and 0.9%, respectively. Moreover, other attributes such as the increased age, an increased monthly income and private car ownership may encourage motorcyclists to switch their mode choice toward other types of transportation.

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Correspondence to Iman Aghayan.

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Shahikhaneh, A., Azari, K.A. & Aghayan, I. Modeling the Transport Mode Choice Behavior of Motorcyclists. Iran J Sci Technol Trans Civ Eng 44, 175–184 (2020). https://doi.org/10.1007/s40996-019-00236-4

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Keywords

  • Motorcycle
  • Mode choice
  • Nested logit modeling
  • Stated-preference method