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Analysis of Transportation Selection for Travel Work

Author

Listed:
  • Nasution Abdillah Arif

    (University of Sumatera Utara., Department of Accounting, Medan, Indonesia)

  • Erwin Keulana

    (University of Sumatera Utara., Department of Accounting, Medan, Indonesia)

Abstract

The paper discusses the optimizing possibilities in terms of use of public transportation that is very necessary considering the difficulty of increasing the capacity of the road with widen road infrastructure in an effort to manage “supply”. Therefore, an alternative approach when managing “demand” for transportation system can be controlled. This is especially needed in settlements newly developed rapidly in Deli Serdang Regency, namely in the Galang Region. The region Galang area with a population of 613 working people with details of 189 civil servants and 424 private employees who the majority (94%) use private transportation. One aspect that is studied within this manuscript is the amount of transportation costs of travel to work using private transportation (motorcycle) and public transportation (angkot or mikrolet). Transportation selection modeling is done using the Bi-nomial Model Binary Logit. Based on the analysis of the results obtained, it can be concluded that, if the difference in transportation costs with private transport getting bigger, the opportunities to use this mode will increase. The balance between the costs and using private and public transport is maintained if the costs of private transport are 1.4 times greater than the cost public transportation.

Suggested Citation

  • Nasution Abdillah Arif & Erwin Keulana, 2019. "Analysis of Transportation Selection for Travel Work," LOGI – Scientific Journal on Transport and Logistics, Sciendo, vol. 10(2), pages 1-10, November.
    • Handle: RePEc:vrs:logitl:v:10:y:2019:i:2:p:1-10:n:1
    DOI: 10.2478/logi-2019-0010
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    References listed on IDEAS

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    1. Engebrethsen, Erna & Dauzère-Pérès, Stéphane, 2019. "Transportation mode selection in inventory models: A literature review," European Journal of Operational Research, Elsevier, vol. 279(1), pages 1-25.
    2. Khordagui, Nagwa, 2019. "Parking prices and the decision to drive to work: Evidence from California," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 479-495.
    3. Shuai Zhao & Yan Zhang & Haifeng Xu & Te Han, 2019. "Ensemble Classification Based on Feature Selection for Environmental Sound Recognition," Mathematical Problems in Engineering, Hindawi, vol. 2019, pages 1-7, February.
    4. Prasanta K. Sahu & Gajanand Sharma & Anirban Guharoy, 2018. "Commuter travel cost estimation at different levels of crowding in a suburban rail system: a case study of Mumbai," Public Transport, Springer, vol. 10(3), pages 379-398, December.
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