Analysis of Public Transit System Fare Policy in Indonesia using Big Data on Post Covid-19 Pandemic: A Case Study of MRT Jakarta Indonesia Mira Lestira Hariani (a*), Fariz Ramadhan (b)
a) Civil Engineering Department, Faculty of Engineering, Universitas Swadaya Gunung Jati, Indonesia.
*mira.hariani0103[at]ugj.ac.id
b) Civil Engineering Department, Faculty of Engineering, Universitas Swadaya Gunung Jati, Indonesia.
Abstract
Public Transit System Fare Policy is a very important basic component in the implementation of public transit system. This study aims to provide several alternatives that can be applied by MRT Jakarta and give recommendation for fare policies that can increase PT. MRT Jakarta revenues using big data (tapping data) taken in the post-covid 19 Pandemic. Big data will be analyzed to produce passenger frequency distribution data based on the number of travel stations and an origin-destination matrix. Several alternative fare policies will be determined by considering Ability to Pay (ATP), Willingness to Pay (WTP), and passenger frequency distribution from the results of big data analysis, Then the best alternative will be determined which will generate the highest revenue increase for PT. MRT Jakarta. This study result the best alternative fare is a graduated fare structure based on mount of travel stations with the application of an initial fare of Rp. 3000, - at the first station, and then the fare will increase by Rp. 2,500/station starting from 2nd travel stations, and will increase by Rp. 1000/station from 4th travel stations until the last station. This alternative resulted in an increase in PT. MRT Jakarta^s revenue of about 36% to its existing revenue.
Keywords: Fare Policy , Transit system, MRT Jakarta, Big Data Analysis.
