1. Modeling and Prediction of Zone of Critical Concern
- Author
-
Ben Krishna, Soumyadeep Kundu, Olea Roy, Mukesh Narmetta, and Jishnu Bhattacharyya
- Subjects
Solid waste management ,Higher education ,business.industry ,Probit model ,0211 other engineering and technologies ,Environmental science ,021108 energy ,02 engineering and technology ,010501 environmental sciences ,business ,01 natural sciences ,Agricultural economics ,0105 earth and related environmental sciences - Abstract
The on-campus residence and activities of students, faculty members, visitors, and university staff result in the generation of university campus solid waste (UCSW). An accurate forecast of UCSW generation is crucial for proper on-campus waste management. This chapter, therefore, aims at identifying significant variables that affect the excess production of waste at a higher education institute in Kozhikode in the Indian state of Kerala. The study is expected to improve the waste management program therein. A literature review methodology, along with a series of interviews, has been used to frame and execute a questionnaire-based study where waste management staff provides the required responses. The modeling technique used is a Probit regression. The influential variables that affect the excess generation of waste are average education level, the status of employment, the urban background of most residents, consumption of water and electricity, space understudy, and management control. All the results in this research can be utilized as a part of waste management programs and in improving capacities to manage waste. This will also help in understanding the type of areas that are zones of critical concern in terms of waste management. The observations incorporated in the study is in the Indian context and are unique among the existing literature.
- Published
- 2020
- Full Text
- View/download PDF