Data for: Municipal Solid Waste Management with Cost Minimization and Emission Control Objectives: A Case Study of Ankara

Published: 24 Sep 2019 | Version 1 | DOI: 10.17632/mcc4m4knt9.1

Description of this data

This data corresponds to the input parameters used in the paper "Municipal Solid Waste Management with Cost Minimization and Emission Control Objectives: A Case Study of Ankara". Some of these parameters are taken from the literature, some are taken from online sources, some are generated using a GIS tool, and some are the actual values of the municipal solid waste management system in practice in Ankara. The sources of the data are provided in detail in the paper. You can contact the first author regarding detailed results of the case study.

Experiment data files

This data is associated with the following publication:

Municipal solid waste management with cost minimization and emission control objectives: A case study of Ankara

Published in: Sustainable Cities and Society

Latest version

  • Version 1

    2019-09-24

    Published: 2019-09-24

    DOI: 10.17632/mcc4m4knt9.1

    Cite this dataset

    Mohsenizadeh, Melika; Tural, Mustafa Kemal; Kentel, Elcin (2019), “Data for: Municipal Solid Waste Management with Cost Minimization and Emission Control Objectives: A Case Study of Ankara”, Mendeley Data, v1 http://dx.doi.org/10.17632/mcc4m4knt9.1

Statistics

Views: 69
Downloads: 6

Categories

Geographic Information Systems, Multi-Objective Optimization, Logistics, Green Transportation, Municipal Solid Waste, Facility Location

Licence

CC BY 4.0 Learn more

The files associated with this dataset are licensed under a Creative Commons Attribution 4.0 International licence.

What does this mean?
You can share, copy and modify this dataset so long as you give appropriate credit, provide a link to the CC BY license, and indicate if changes were made, but you may not do so in a way that suggests the rights holder has endorsed you or your use of the dataset. Note that further permission may be required for any content within the dataset that is identified as belonging to a third party.

Report