Spatial Pattern and Hotspots of Urban Rail Public Transport to Public Access Using Geospatial Techniques in Selangor, Malaysia

Burhaida Burhan,Edie Ezwan Mohd Safian,Mohd Sahrul Syukri Bin Yahya

doi:10.47405/mjssh.v6i1.634

Abstract

Currently, the trends in urban public transport have been changing over the years in developing countries for mobilization and accessibility development. Urban public transportation systems are the most popular in Selangor State, including big cities such as the Klang Valley Region. Objective measures of spatial pattern and hotspots have been used to understand how urban public transport development relate to open access. This method relies on specific spatial information and available web-based tool that shows the pattern primarily based on given vicinity and statistics connectivity. To date, several studies have finished tested in developed countries. In this study, we use Geographic Information Systems to analyse and consider hotspots identification precisely and efficaciously. Therefore, in this paper, we focus on two types of point sample evaluations – Gi* hot spot and point density analysis evaluation as statistical operations. Public rail transport was evaluated as a validation to describe the percentage of distribution of open access. The final result, GIS mapping capabilities to show that GIS's technology offers to the variation of urban public transport relate to public services, is to create maps and spatial interpretations.

Highlights

Roads and rail are the most important for urban public transportation modes. Urban public transport such as trains, buses, and taxis is vital in reducing traffic congestion in Selangor
Excellent public transportation can be obtained from exploring public facilities
Bhd and Rapid KL stage bus service are operated with the aid of Rapid Bus Sdn Bhd

Summary

Introduction

Roads and rail are the most important for urban public transportation modes. Another crime case conducted in Zimbabwe using Getis Ord Gi and Moran I to determine crime clustering and crime hotspots area. This case will help law regulation to reduce crime issues (Mafumbabete et al, 2019). This research used Getis Ord Gi in Tuberculosis Disease in China to detect the spatial clustering area and identified the factor predictors (Wubuli et al, 2015). GIS mapping is a valuable method for studying spatial patterns like random, dispersion, or cluster by focusing on their relationship with the surrounding public facilities. The map distribution of spatial patterns with GIS was developed (Azeez et al, 2016)

Methodology

Statistical Method

Result

Findings

Conclusion