Spatial Patterns Analysis of Jabodetabek Electric Rail Transportation Using Spatial Autocorrelation Approach

Abstract

Abstract This study investigates the density level of the Jabodetabek KRL stations and routes and the spatial pattern of the Jabodetabek KRL. The method used is spatial autocorrelation calculation using the Moran’s Index putting on data PT KCI from 2014 through 2020, spatial data from BIG, and BPS population data. The study results show that the stations and the routes were congested. Still, there was a drastic decrease in passengers when the Covid-19 outbreak entered Indonesia in March 2020. There was positive autocorrelation and spatial patterns forming Clusters which means that it is necessary to create new lines and stations to break up the current overcrowding of train passengers. As a result, understanding the density level of stations and routes and the passenger density distribution pattern at Jabodetabek stations may be utilized to design the building of new stations and lines at KRL Jabodetabek, thereby increasing the degree of comfort, safety, and security.