Application of spatial and non-spatial data analysis in determination of the factors that impact municipal solid waste generation rates in Turkey

Date

2012-03-01

Author

KESER, Saniye
Duzgun, Sebnem
Aksoy, Ayşegül

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In studies focusing on the factors that impact solid waste generation habits and rates, the potential spatial dependency in solid waste generation data is not considered in relating the waste generation rates to its determinants. In this study, spatial dependency is taken into account in determination of the significant socio-economic and climatic factors that may be of importance for the municipal solid waste (MSW) generation rates in different provinces of Turkey. Simultaneous spatial autoregression (SAR) and geographically weighted regression (GWR) models are used for the spatial data analyses. Similar to ordinary least squares regression (OLSR), regression coefficients are global in SAR model. In other words, the effect of a given independent variable on a dependent variable is valid for the whole country. Unlike OLSR or SAR. GWR reveals the local impact of a given factor (or independent variable) on the waste generation rates of different provinces. Results show that provinces within closer neighborhoods have similar MSW generation rates. On the other hand, this spatial autocorrelation is not very high for the exploratory variables considered in the study. OLSR and SAR models have similar regression coefficients. GWR is useful to indicate the local determinants of MSW generation rates. GWR model can be utilized to plan waste management activities at local scale including waste minimization, collection, treatment, and disposal. At global scale, the MSW generation rates in Turkey are significantly related to unemployment rate and asphalt-paved roads ratio. Yet, significances of these variables may diminish at local scale for some provinces. At local scale, different factors may be important in affecting MSW generation rates.

Subject Keywords

Municipal solid waste, Solid waste generation rate, Solid waste management, Geographically weighted regression, Simultaneous spatial autoregression

URI

https://hdl.handle.net/11511/41761

Journal

WASTE MANAGEMENT

DOI

https://doi.org/10.1016/j.wasman.2011.10.017

Collections

Department of Environmental Engineering, Article

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Citation Formats

S. KESER, S. Duzgun, and A. Aksoy, “Application of spatial and non-spatial data analysis in determination of the factors that impact municipal solid waste generation rates in Turkey,” WASTE MANAGEMENT, pp. 359–371, 2012, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/41761.