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

Author

Listed:
  • 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
    Graduate Programs in Environmental Systems, Graduate School of Environmental Engineering, The University of Kitakyushu, Kitakyushu 808-0135, Japan)

  • 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)

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.

Suggested Citation

  • Syafrudin Syafrudin & Bimastyaji Surya Ramadan & Mochamad Arief Budihardjo & Munawir Munawir & Hafizhul Khair & Raden Tina Rosmalina & Septa Yudha Ardiansyah, 2023. "Analysis of Factors Influencing Illegal Waste Dumping Generation Using GIS Spatial Regression Methods," Sustainability, MDPI, vol. 15(3), pages 1-11, January.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:3:p:1926-:d:1041331
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    References listed on IDEAS

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    1. Agovino, Massimiliano & Musella, Gaetano, 2020. "Separate waste collection in mountain municipalities. A case study in Campania," Land Use Policy, Elsevier, vol. 91(C).
    2. Elżbieta Antczak, 2020. "Regionally Divergent Patterns in Factors Affecting Municipal Waste Production: The Polish Perspective," Sustainability, MDPI, vol. 12(17), pages 1-25, August.
    3. Kristyna Rybova, 2019. "Do Sociodemographic Characteristics in Waste Management Matter? Case Study of Recyclable Generation in the Czech Republic," Sustainability, MDPI, vol. 11(7), pages 1-15, April.
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