Land use management based on movement patterns

Abstract

Background: Spatial Plan Regulation In Bantaeng Regency for 2012 -2032, Bantaeng Subdistrict is designated as a Local Service Center (PKL), which results in a high density of activities. This is marked by the presence of government centers, commerce and services, health facilities, education, worship places, and public spaces. The interaction of traffic movements using transportation generates movement patterns that lead to congestion, delays, noise, and air pollution. Methods: This study in Bantaeng Subdistrict used quantitative and qualitative methods with 300 respondents. Population movement was analyzed using the Origin-Destination Matrix, while spatial analysis mapped traffic patterns with ArcGIS and Google Earth, producing daily desire line maps for land use and movement evaluation. Findings: The results of the study show that the highest movement pattern originates from residential areas towards commercial and service areas. The movement classification is categorized as follows: >14 as low movement lines, 15-27 as moderate movement lines, and 28-43 as high movement lines. Efforts to minimize transportation system issues are included in land-use management directives, which are expected to benefit both the government and the community in planning development strategies. Conclusion: The land-use management directives for Bantaeng Subdistrict include the preparation of public transportation routes that can connect local service centers with transit terminal points in the city center. This can be supported by accelerating the terminal development plan in Letta Village. Additionally, policies to strengthen the support capacity of local service centers as alternative travel destinations to the city center are recommended, with Lembang Village being designated as a religious center. Novelty/Originality of this article: The movement patterns are based on land use in Bantaeng Subdistrict, emphasizing land-use changes due to the movement patterns that occur, which are represented using the latest method, the Origin-Destination (OD) Matrix.