Modeling the socio-economic waste generation factors: A case study of Faridabad (Haryana State, India)

다국어 초록 (Multilingual Abstract)

Municipal Solid Waste Management is an extremely complex task especially in Metropolitan cities. An accurate planning is required for its sustainable development. Such planning requires waste generated data as well as waste collected data. A number of socioeconomic factors are responsible for its generation. The aim of present research is to establish various significant correlations between socioeconomic factors such as population, urban population, literacy rate, per capita income and municipal solid waste (MSW) by regression analysis. The study is based on waste collected data of fastest growing metropolitan city Faridabad (Haryana State, India). The significant correlations between socioeconomic factors and MSW have been validated by p-value (< 0.05), high value of adjusted R² and minimum values of root mean square error (RMSE).Further the time series analysis has been performed to forecast the waste (collection) up to year 2019. The present study would be extremely beneficial for waste management authorities as well as policy makers of Municipal Corporation of Faridabad (MCF).

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