Proceedings of the 2017 International Conference on Material Science, Energy and Environmental Engineering (MSEEE 2017)

Evaluation of municipal waste incinerators (MWI) site selection based on full cost accounting using GIS tools: a case study in Beijing, China

Authors
Chang Zhao
Corresponding Author
Chang Zhao
Available Online August 2017.
DOI
10.2991/mseee-17.2017.70How to use a DOI?
Keywords
Site selection, municipal waste incinerators, external cost, ArcGIS, model builder.
Abstract

A Geographic Information System (GIS) is used as a decision-making tool for site selection in this research. Many factors are related to the site selection of Municipal waste incinerators (MWI) due to the external costs. Consequently, a site selection model is built to help regulators to choose suitable sites for MWIs. To simplify the process and reduce human errors, an automatic model built by Model Builder of ArcGIS is used in this study. A choice has been made among the MWIs planned to select a proper one based on health, transportation and operation costs. This paper presents a model that could increase the success and eliminate possible wrong justifications in the management of MWIs in large cities.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 International Conference on Material Science, Energy and Environmental Engineering (MSEEE 2017)
Series
Advances in Engineering Research
Publication Date
August 2017
ISBN
978-94-6252-377-7
ISSN
2352-5401
DOI
10.2991/mseee-17.2017.70How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Chang Zhao
PY  - 2017/08
DA  - 2017/08
TI  - Evaluation of municipal waste incinerators (MWI) site selection based on full cost accounting using GIS tools: a case study in Beijing, China
BT  - Proceedings of the 2017 International Conference on Material Science, Energy and Environmental Engineering (MSEEE 2017)
PB  - Atlantis Press
SP  - 378
EP  - 383
SN  - 2352-5401
UR  - https://doi.org/10.2991/mseee-17.2017.70
DO  - 10.2991/mseee-17.2017.70
ID  - Zhao2017/08
ER  -