Smart City Gnosys
Smart city article details
| Title | Regression Analysis Of Garbage Management System For Smart Cities |
|---|---|
| ID_Doc | 44841 |
| Authors | Sharma R.K.; Jailia M. |
| Year | 2022 |
| Published | ACM International Conference Proceeding Series |
| DOI | http://dx.doi.org/10.1145/3590837.3590910 |
| Abstract | The environment faces significant issues from garbage management, which is quite essential. It is a crucial issue for Municipal Corporation organisations. Different techniques were periodically developed to evaluate the effectiveness of the garbage management system. Cities are getting more significant as technology advances. As a result, more effective management and engineering tools have been developed. This research paper focuses on the municipal dataset provided by the garbage management systems of 26 Indian cities. The data have been interpreted, analysed, and summarised using descriptive and inferential statistics methods. The statistical technique has evaluated a potential linear link between variables. The Ordinary Least Squares regression model has been applied to a distinct set of data variables based on correlations. The alternative hypothesis that corresponds to the null hypothesis is created. The regression models' coefficient of determination is calculated and discovered to be about 90%. The outcomes of the t-test and f-test analyses demonstrate the significance of the independent variables and the overall model. The R2 values between dependent and independent variables (Garbage & Population), (House & Population), (Garbage & House), (Area & Garbage), (Vehicle & Garbage), and (Worker & Garbage) have been found to 0.98, 0.9, 0.91, 0.83, 0.69, and 0.85 respectively. The results of the suggested model are appropriate for anticipating garbage production based on population. The amount of garbage forecasts the number of workers and trucks required to handle garbage produced in a city. It demonstrates the transitive relationships between the population, the amount of garbage, and the workforce and vehicles. The suggested concept is best suited to boost municipal waste management organisations' productivity and assist in creating a fresh design for smart cities. © 2022 ACM. |
| Author Keywords | Descriptive Analysis; Garbage Management System; Inferential Analysis; OLE |
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