Population Density and Intensity of Traffic Connection: Spatial Analysis (Overlay)

Ali, Muhammad Ichsan and Abidin, Muhammad Rais (2018) Population Density and Intensity of Traffic Connection: Spatial Analysis (Overlay). International Journal of Science and Research (IJSR), 7 (12). pp. 546-552. ISSN 2319-7064

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Abstract

Abstract Congestion is one of the most significant issues which recently experienced by many cities around the world especially in developing countries such as Indonesia since the world undergoes rapid economic and human development. Rappocini district, one of the districts located in Makassar city Indonesia, is currently experiencing massive construction because of this area based on the urban planning of Makassar city associated as a residential zone which may lead to the massive potential congestion. Therefore, this study tries to analyze how population density intervenes level of service of the road. Traffic survey is a method used to collect primary data in the form of classified traffic data (PCU/hour) then analyzed using the 1997 Indonesian Highway Capacity Manual (IHCM) reference and Highway Capacity Manual (HCM) 2016. Regression analysis (SPSS) and spatial (overlay) which is used later to analyze and visualize the correlation between population density and road service level. The result shows that the population density does not cause the level of congestion. However, congestion is influenced by several factors consisted of the number of populations, population density, highway capacity and the daily average of traffic. Population density value does not influence the level of service of the road because Rappocini district is the main gate to access the Makassar city from the south of Sulawesi; therefore, the congestion mostly caused by the commuter from Gowa and TakalarRegency. Keywords:Congestion, Commuters, Level of Service, Population Density.

Item Type:	Article
Subjects:	FAKULTAS TEKNIK KARYA ILMIAH DOSEN Universitas Negeri Makassar > KARYA ILMIAH DOSEN
Divisions:	FAKULTAS TEKNIK
Depositing User:	Herling HR Sahade
Date Deposited:	24 Jun 2020 05:44
Last Modified:	07 Oct 2020 03:10
URI:	http://eprints.unm.ac.id/id/eprint/17734

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