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Estimating mode choice of motorized two-wheeler commuters under the influence of combined travel demand management measures: An ICLV modeling approach

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  • Kavta, Kuldeep
  • Goswami, Arkopal K.

Abstract

Several studies have reported the need for combining multiple Travel Demand Management (TDM) measures for minimizing the use of private vehicles. However, a detailed empirical analysis is needed to substantiate the theory and understand the factors influencing the resultant mode choice behavior. This paper presents a stated choice experiment study to examine the mode choice behavior under the influence of a combined TDM package of Congestion Pricing (CP) and Public Bike Sharing (PBS). The case study area is the old city of Ahmedabad, which is in the western state of Gujarat, India.

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  • Kavta, Kuldeep & Goswami, Arkopal K., 2022. "Estimating mode choice of motorized two-wheeler commuters under the influence of combined travel demand management measures: An ICLV modeling approach," Transport Policy, Elsevier, vol. 126(C), pages 327-335.
    • Handle: RePEc:eee:trapol:v:126:y:2022:i:c:p:327-335
    DOI: 10.1016/j.tranpol.2022.08.004
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    1. Xue Wang & Suwei Feng & Tianyi Tang, 2023. "Acceptability toward Policy Mix: Impact of Low-Carbon Travel Intention, Fairness, and Effectiveness," Sustainability, MDPI, vol. 15(20), pages 1-22, October.

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