Enhancing Urban Solid Waste Management Through an Integrated Geographic Information System and Multicriteria Decision Analysis: A Case Study in Postwar Reconstruction

Igor Dudar, Olha Yavorovska, Giuseppe T. Cirella, Volodymyr Buha, Maryna Kuznetsova, Iuliia Iarmolenko, Olexander Svitlychnyy, Liliia Pankova and Svitlana Diachenko
Additional contact information
Igor Dudar: Vinnytsia National Technical University
Olha Yavorovska: Vinnytsia National Technical University
Volodymyr Buha: Donetsk State University of Internal Affairs
Maryna Kuznetsova: Sumy National Agrarian University
Iuliia Iarmolenko: Bila Tserkva National Agrarian University
Olexander Svitlychnyy: National University of Life and Environmental Sciences of Ukraine
Liliia Pankova: National University of Life and Environmental Sciences of Ukraine
Svitlana Diachenko: National Academy for Public Administration under the President of Ukraine

Chapter Chapter 21 in Handbook on Post-War Reconstruction and Development Economics of Ukraine, 2024, pp 377-392 from Springer

Abstract: Abstract This chapter developed a geographic information system (GIS) model and applied spatial analysis techniques to determine the most suitable location for municipal solid waste transfer station within the city of Vinnytsia, Ukraine. The absence of such a station within the city’s sanitation infrastructure gives rise to numerous challenges, leading to an overall decreased efficiency in waste management. With the rising costs associated with solid waste management, the importance of optimizing processes during the transportation stage has become increasingly evident. This issue is particularly significant in rapidly growing urban areas. Given the intricate hierarchical nature of waste management systems, the process of site selection requires a thorough examination of various alternative solutions and assessment criteria. Drawing on the conditions of the study area, a thorough look at the relevant factors and established criteria weights was examined using multicriteria decision analysis. A hierarchical model was then constructed to address the challenge of determining the optimal site for a waste transfer station in the city using spatial data. The creation of suitability maps for the geographical area was undertaken based on a range of criteria. These criteria were assessed on a scale from 1 (i.e., lowest suitability) to 5 (i.e., highest suitability), utilizing spatial information technologies. The potential sites for consideration were categorized using the best-worst method: “optimal,” “favorable,” and “unsuitable.” Optimal sites represent the most advantageous choices, while favorable sites could serve as backup options for potential candidates. This information possesses practical value for individuals responsible for making managerial decisions in the context of municipal solid waste management in urban areas marked by significant urbanization. Moreover, the model serves as a demonstrative example of infrastructure development and nation building, an important consideration for the country in the postwar reconstruction period.

Keywords: Buffer zone; Environmental constraints; Geographic information system; Infrastructure planning; Multicriteria decision analysis; Nation-building efforts; Optimal site selection; Sanitary facilities; Spatial analysis; Waste transportation routes (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

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:spr:conchp:978-3-031-48735-4_21

Ordering information: This item can be ordered from
http://www.springer.com/9783031487354

DOI: 10.1007/978-3-031-48735-4_21

Access Statistics for this chapter

More chapters in Contributions to Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().