Analysis of Factors Influencing Illegal Waste Dumping Generation Using GIS Spatial Regression Methods

Syafrudin Syafrudin, Bimastyaji Surya Ramadan, Mochamad Arief Budihardjo (), Munawir Munawir, Hafizhul Khair, Raden Tina Rosmalina and Septa Yudha Ardiansyah
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Syafrudin Syafrudin: Environmental Sustainability Research Group, Department of Environmental Engineering, Faculty of Engineering, Universitas Diponegoro, Semarang 50275, Indonesia
Bimastyaji Surya Ramadan: Environmental Sustainability Research Group, Department of Environmental Engineering, Faculty of Engineering, Universitas Diponegoro, Semarang 50275, Indonesia
Mochamad Arief Budihardjo: Environmental Sustainability Research Group, Department of Environmental Engineering, Faculty of Engineering, Universitas Diponegoro, Semarang 50275, Indonesia
Munawir Munawir: Computer Engineering Study Program, UPI Campus Cibiru, Universitas Pendidikan Indonesia, Bandung 40393, Indonesia
Hafizhul Khair: Environmental Engineering Department, Faculty of Engineering, Universitas Sumatera Utara, Medan 20155, Indonesia
Raden Tina Rosmalina: Research Centre for Environmental and Clean Technology, National Research and Innovation Agency, Bandung 40135, Indonesia
Septa Yudha Ardiansyah: Department of Urban and Regional Planning, Faculty of Engineering, Universitas Diponegoro, Semarang 50275, Indonesia

Sustainability, 2023, vol. 15, issue 3, 1-11

Abstract: Illegal municipal waste dumping practices in developing countries may be impacted by many factors such as socioeconomic, demographic, availability of waste collection facilities, recycling sites, and spatial characteristics. This study uses spatial regression analysis to identify which factors primarily impact illegal waste dumping practices. For this purpose, 8 variables explain the data for the 177 subdistricts used in the spatial regression analysis. This study used ordinary least squares (OLS) and geographically weighted regression (GWR) methods to build a regression model of the factors identified. OLS analysis showed that only elevation and population density were found to become determinants of illegal waste dumping activity based on spatial regression methods. Elevation above sea level is positively correlated while population density is negatively correlated with the number of illegal dumping generations. GWR shows a better statistical value than OLS, where the significance of the adjusted R-square increased from 0.24 to 0.61. This study may help reduce the number of illegal waste dumping practices, especially in a metro city context.

Keywords: GWR; illegal waste dumping; OLS; spatial regression (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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