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Employer-based travel demand management program: Employer’s choice and effectiveness

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  • Ko, Joonho
  • Kim, Daejin

Abstract

The impact and effectiveness of employers’ travel demand management (TDM) programs have often been investigated, but there is little research on employers’ preference of TDM programs and the factors which influence their choices. This study aims to examine employers’ choices of TDM program and the effectiveness based on a Seoul TDM database. Factors affecting employers’ decisions on whether to participate in TDM programs and the degree of participation are identified based on regression models: binary logistic, ordinary least squares and Tobit regressions. In addition, an employers’ TDM program choice model is developed using the approach of the multiple discrete continuous extreme value (MDCEV) model, as an employer can participate in multiple TDM programs, and their individual effectiveness is represented by continuous values of traffic impact fee discount rates. The developed models consistently indicate that facilities’ characteristics such as owner type and facility size, along with locational characteristics (e.g., land use and accessibility to transit) are important in choosing a TDM program. In particular, the MDCEV model shows that employers’ preferences for TDM programs vary significantly by employer and characteristics of the program.

Suggested Citation

  • Ko, Joonho & Kim, Daejin, 2017. "Employer-based travel demand management program: Employer’s choice and effectiveness," Transport Policy, Elsevier, vol. 59(C), pages 1-9.
    • Handle: RePEc:eee:trapol:v:59:y:2017:i:c:p:1-9
    DOI: 10.1016/j.tranpol.2017.06.003
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    Cited by:

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    2. Rodrigo J. Tapia & Gerard Jong & Ana M. Larranaga & Helena B. Bettella Cybis, 2021. "Exploring Multiple‐discreteness in Freight Transport. A Multiple Discrete Extreme Value Model Application for Grain Consolidators in Argentina," Networks and Spatial Economics, Springer, vol. 21(3), pages 581-608, September.
    3. Wong, R.C.P. & Szeto, W.Y. & Yang, Linchuan & Li, Y.C. & Wong, S.C., 2018. "Public transport policy measures for improving elderly mobility," Transport Policy, Elsevier, vol. 63(C), pages 73-79.
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    5. Chen, Peng & Yang, Xiankui, 2023. "Revisit employer-based travel demand management: A longitudinal analysis," Transport Policy, Elsevier, vol. 131(C), pages 22-31.

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