Acta Scientific Computer Sciences

Research ArticleVolume 3 Issue 7

Decision-Making in Waste Management: A Data Driven Approach

Fahim Aslam*

University of Wolverhampton, United Kingdom

*Corresponding Author: Fahim Aslam, University of Wolverhampton, United Kingdom.

Received: May 25, 2021; Published: June 23, 2021

Citation: Fahim Aslam. “Decision-Making in Waste Management: A Data Driven Approach". Acta Scientific Computer Sciences 3.7 (2021): 59-65.

Abstract

Data Science is a growing field of interest in the current era where all industries are focusing on using “data” to improve their services. With the establishment of data warehouses and high bandwidth storing “big-data” has become a convenient task for companies. The advancement of technology allows us to exploit and use data in several ways that gives us opportunities to expand the scope of work carried out. In my research I focused on identifying ways in waste management can be improved in the Colombo District using data collected through a questionnaire on “Waste Management” where the main aim of the study was to find the perception of youth towards waste management. A total of 165 (n = 165, males = 69, females = 93) participants were part of this online survey with nearly 82% in between the ages of 18-24. Majority of the respondents indicated that they have limited knowledge on waste management practices followed in the country and nearly 42% of the respondents indicated that they are not satisfied with the waste collection in the region. Based on the observations identified through the baseline survey a theoretical framework was adapted which evaluated all the responses and identified specific areas that needs to be addressed to implement an effective waste management policy in Colombo.

Keywords: Data Science; Data Management; Decision Making; Waste Management; Climate Action; SDG

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Copyright: © 2021 Fahim Aslam. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.



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