Advertisement

Development and Application of a Multi-Criteria Decision Making (MCDM) Tool for Solid Waste Management: Kolkata as a Case Study

  • Tumpa HazraEmail author
  • Bhargab Maitra
  • Sudha Goel
Chapter

Abstract

Solid Waste Management (SWM) is a major challenge for developing countries due to rapid increase in Solid Waste (SW) generation rates and financial constraints for proper management. Poorly managed SW causes severe consequences to society like financial and aesthetic degradation, environmental pollution and is a serious health hazard. SWM consists of six functional elements: generation, storage, collection, transfer, processing or treatment and disposal. Current regulations hold the administrative, i.e., municipal authority responsible for SWM and all expenditure on collection, transfer, processing and disposal of SW has to be met using the financial resources available. The main sources of revenue for any municipal authority are municipal or property tax and octroi. In a survey of municipal budgets and revenues for five major cities in India, 38 to 83% of the revenues were derived from these sources (Sekhar and Bidarkar 2013). Non-tax revenue, grants and other contributions formed the remaining part of the total revenues. In general, policy makers prepare SWM plans by optimizing expenditure on collection, transfer, processing and disposal of SW which is proportionate to municipal tax based on direct costs to households. Additional expenditure to be incurred by the municipal authority in improving the system has to be recovered from the community as additional municipal tax. Also, any savings by the municipal authority are transferred to the households in terms of tax relief. However, these SWM plans fail to account for inconvenience costs to users and environmental costs.

References

  1. California Integrated Waste Management Board (CIWMB), and Tellus Institute, 1991. Disposal cost fee study. Retrieved from <http://www.calrecycle.ca.gov/publications/Documents/General%255C2011040.pdf> (6 July 2011).
  2. Hazra, T., 2012. Improvement of solid waste management system considering direct and indirect cost. Ph.D. Thesis, IIT Kharagpur, India.Google Scholar
  3. Hazra, T. and Goel, S., 2009. Solid waste management in Kolkata, India: Practices and challenges. Waste Management, 29(1), 470–478.CrossRefGoogle Scholar
  4. Hazra, T., Goel, S. and Maitra, B., 2013. Willingness-to-pay for solid waste management service attributes: Kolkata Municipal Corporation area, India, as a case study. International Journal of Environment and Waste Management, 12(4), 406–421.CrossRefGoogle Scholar
  5. Hazra, T., Goel, S. and Maitra, B., 2015. Willingness-to-pay and preference heterogeneity for service attributes of solid waste management: An experience in Kolkata, India. Global NEST Journal, 17(1), 82–92.Google Scholar
  6. Hensher, D.A., Rose, J. and Greene, W., 2005. Applied choice analysis—A primer. Cambridge University Press, Cambridge, Mass.CrossRefGoogle Scholar
  7. Louviere, J.J., Hensher, D.A. and Swait, J.D., 2000. Stated choice methods, analysis and applications. Cambridge University Press, Cambridge, Mass.CrossRefGoogle Scholar
  8. MATLAB, R., 2008. Licence Number 161051.Google Scholar
  9. National Environmental Engineering Research Institute (NEERI), 1996. Strategy Paper on Solid Waste Management in India. <http://www.neeri.res.in>
  10. National Environmental Engineering Research Institute (NEERI), 2005. Comprehensive Characterization of Municipal Solid Waste at Calcutta, India.Google Scholar
  11. Phanikumar, C. and Maitra, B., 2010. Modelling Generalized Cost of Travel and Its Application for Improvement of Taxies in Kolkata. ASCE Journal of Urban Planning and Development, 136(1), 42–49.CrossRefGoogle Scholar
  12. Rathi, S., 2006. Alternative approaches for better municipal solid waste management in Mumbai, India. Waste Management, 26(10), 1192–1200.CrossRefGoogle Scholar
  13. Sekhar, S. and Bidarkar, S., 2013. Municipal Budgets in India: Comparison across Five Cities. Economic and Political Weekly, 34(20), 1202–1208.Google Scholar
  14. Train, K., 2000. Halton sequences for mixed logits. Retrieved from <https://escholarship.org/uc/item/6zs694tp> (5 August 2010).

Copyright information

© Capital Publishing Company, New Delhi, India 2017

Authors and Affiliations

  1. 1.Civil Engineering DepartmentJadavpur UniversityKolkataIndia
  2. 2.Civil Engineering DepartmentIndian Institute of Technology KharagpurKharagpurIndia

Personalised recommendations