Proposing a Model to Analyze Public Acceptance When Introducing a Waste Management Facility Using Artificial Intelligence: Case Example of Akkulam Region
摘要
Waste management solutions are one of the most debated and problem-creating decisions taken by Urban Local Bodies and governments. The social sustainability of any waste management facility is greatly dependent on the public acceptance of that particular facility. Questionnaire surveys alone cannot address issues like ‘Not In My Backyard’ syndrome which is prevalent in most developing countries like India. This paper explores how a fuzzy logic inference system can be developed to consider overlapping factors like the opinion, knowledge, and willingness to participate expressed by the public. Also, the difference between organic and inorganic waste management needs has been explored. Akkulam region in Trivandrum district of Kerala was taken to test the developed Fuzzy inference system. Based on results from a pilot questionnaire survey conducted among the public of the Akkulam region, the input for the fuzzy system was obtained, using which the level of public acceptance was calculated and compared. It was found that composting was the most accepted organic waste management facility with 72.9% public acceptance as compared to landfill or incineration which were at 17.8% and 23.8% public acceptance respectively. In the case of inorganic waste management, recycling facility was the most accepted with 73.2% acceptance. Waste-to-energy was also comparatively more acceptable than incineration technique with 67.1% public acceptance indicating a lack of awareness about techniques like incineration. Effective use of this system will give authorities a better understanding of public perceptions on a particular system before it is introduced.