Logistic Regression Approach In Studying Travel Demand During Morning Peak Hour: A Case Study In Klang Komuter Station, Malaysia

Authors

  • Nur Fahriza Mohd Ali School of Civil Engineering, Engineering Campus, Universiti Sains Malaysia, 14300 Nibong Tebal, Pulau Pinang, Malaysia
  • Ahmad Farhan Mohd Sadullah Timbalan Naib Canselor Akademik& Antarabangsa,Pejabat Naib Canselor,Aras 6, Bangunan Cancelori,11800 USM,Universiti Sains Malaysia,Pulau Pinang,Malaysia
  • Adnan Zulkiple Faculty of Engineering Technology, Block A2, Universiti Malaysia Pahang, Lebuhraya Tun Razak, 26300 Gambang, Kuantan, Pahang, Malaysia

DOI:

https://doi.org/10.15282/mekatronika.v4i2.8948

Keywords:

Logit model, Public Transport, Travel Demand, Stated Preference

Abstract

This paper develops a Stated Preference (SP) experiment that provides a  way to measure users’ travel demand in public transport. This paper introduces an empirical procedure for optimising the SP experiment. This procedure permits the  identification of the choice alternatives defining the experiment by simulating the  choices of a user sample. By using the data collected from a survey, a Logit model  was calibrated. This model is a way of identifying the importance of service quality  attributes on global users’ satisfaction which provides an operationally appealing  measure of current or potential service effectiveness. The result shows that out-ofvehicle time gives a great impact towards users’ mode choice

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Published

2022-12-10

How to Cite

[1]
N. F. . Mohd Ali, A. F. . Mohd Sadullah, and A. . Zulkiple, “Logistic Regression Approach In Studying Travel Demand During Morning Peak Hour: A Case Study In Klang Komuter Station, Malaysia ”, MEKATRONIKA, vol. 4, no. 2, pp. 91–99, Dec. 2022.

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Section

Original Article

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