Commuter Train Mode Choice Modelling Using Binary Logit Model

Septiady, Ryan (2019) Commuter Train Mode Choice Modelling Using Binary Logit Model. Commuter Train Mode Choice Modelling Using Binary Logit Model, 6 (1). pp. 1-8. ISSN 2597-8624

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Abstract

Car production in Malaysia is increase dramatically. This situation created serious impact such as pollution and congestion. The Malaysian government should find a proper solution to prevent the vehicles growth by controlling them and improve public transportation services. The only way to get people switch to public transportation is by improving the public transport system becomes more efficient. To find out the solution, an understanding of traveler behavior by apply mode choice model using binary logit approach is necessary. Stated preferences method was adopted in order to construct hypothetical choice in current and future situations. A total of 250 respondents were selected as the sample based on the research study. This research employed a discrete choice analysis to examine the relationship between the independent variables (travel time, fares, comfort and safety). With variation of trip purpose (school, work, leisure activity, and shopping), model has been developed and tested to check the validity. The result shows that the potential of new train services to compete with the current commuter (KTM) and private car user are quite competitive. This is no doubt due to the characteristics of the respondent to choose a good level of services especially a better comfortability and safety with an affordable price (fares). It can be concluded that scenario 2 has great potential to be implemented since forecasting demand reached above 90%.

Item Type:	Artikel
Uncontrolled Keywords:	Public Transportation, Comutter, Train Services
Subjects:	A General Works > AC Collections. Series. Collected works
Divisions:	Universitas Pembangunan Jaya
Depositing User:	Alexandro Andika
Date Deposited:	03 May 2023 01:11
Last Modified:	03 May 2023 01:11
URI:	http://eprints.upj.ac.id/id/eprint/4930

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