Location optimization of municipal solid waste considering health, safety, environmental, and economic factors

Ali Azadeh, Kimia Ahmadzadeh and Hossein Eslami

Journal of Environmental Planning and Management, 2019, vol. 62, issue 7, 1185-1204

Abstract: Selecting appropriate sites for municipal solid waste (MSW) is a challenging problem for urban communities and has economic and environmental implications. This paper proposes a mathematical optimization model to solve the location problem of MSW sites incorporating both push and pull characteristics. Four objective functions comprising health, safety, environmental (HSE), and economic indicators are considered. These objectives are combined into a single objective function using the weighted sum method and the best method is selected based on noise analysis. The parameter uncertainty is incorporated into the model using expert judgments followed by sensitivity analysis to show the effect of the most important parameters. Using the data from a network of 360 population centers in Tehran, the solution for the model is demonstrated. To our knowledge, this is the first study on location optimization of MSW considering combined HSE and economic indicators. The proposed approach is flexible and parsimonious.

Date: 2019
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://hdl.handle.net/10.1080/09640568.2018.1482200 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:jenpmg:v:62:y:2019:i:7:p:1185-1204

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/CJEP20

DOI: 10.1080/09640568.2018.1482200

Access Statistics for this article

Journal of Environmental Planning and Management is currently edited by Dr Neil Powe, Dr Ken Willis and George Bill Page

More articles in Journal of Environmental Planning and Management from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().