Freight Transport Mode Choice using A Binary Logit Model

Authors

  • D.M Priyantha Wedagama Faculty of Engineering, Universitas Udayana
  • Dilum Dissanayake Earth and Environmental Sciences, University of Birmingham
  • Nur Zaimah Ubaidillah Faculty of Economics and Business Universiti Malaysia Sarawak

DOI:

https://doi.org/10.52920/jttl.v4i2.179

Keywords:

fatal road accidents, logistic regression, motorcycle

Abstract

This study provides the first description of freight mode choice using the SARBAGITA area in Bali as a case study. A binary logit model was built to analyze the important factors influencing the choice between pick-up/box cars and medium/large trucks. This study found that the odds that drivers aged between 31 and 40 years old, elementary school as driver educational qualification, transported mining results, transported forest products and travel distance will use pick-up/box cars were 3.82, 6.54, 8.78, 18.08, and 1.05 times more likely than these of medium and large trucks. Meanwhile, the odds that freight transport vehicles owned by private,  driver income was equal to regional minimum wage, and an average weight of transported goods were less than 5 tons will use pick-up/box cars were 34%, 28%, and 1% less likely than these of medium and large trucks.

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Published

2023-11-06

How to Cite

Wedagama, D. P., Dissanayake, D. ., & Ubaidillah, N. Z. . (2023). Freight Transport Mode Choice using A Binary Logit Model. Jurnal Teknologi Transportasi Dan Logistik, 4(2), 141-146. https://doi.org/10.52920/jttl.v4i2.179

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