PMID- 31493083
OWN - NLM
STAT- MEDLINE
DCOM- 20200113
LR  - 20210110
IS  - 1614-7499 (Electronic)
IS  - 0944-1344 (Linking)
VI  - 26
IP  - 30
DP  - 2019 Oct
TI  - GIS-based MCDM modeling for landfill site suitability analysis: A comprehensive 
      review of the literature.
PG  - 30711-30730
LID - 10.1007/s11356-019-06298-1 [doi]
AB  - One of the cheapest and proper methods for the ultimate disposal of Municipal 
      Solid Waste (MSW) is landfilling. However, determining the location of landfill 
      sites is a difficult and complex task due to depending on social, environmental, 
      technical, economic, and legal factors. To solve the aforementioned challenges 
      related to the landfill site suitability analysis, the combinations of Geographic 
      Information System (GIS) and Multi-Criteria Decision-Making (MCDM) have been 
      studied by academia and applied by experts over the years. This notice is 
      apparent by the large number of academic papers which have been announced in the 
      near future. To provide a framework of the existing literature, and to guide 
      colleagues, a state-of-the-art of recent papers is crucial. The goal of this 
      study is to review all scientific papers in GIS-based MCDM modeling for landfill 
      site suitability analysis in academic journals. A total of 106 studies published 
      between 2005 and 2019 are recorded and surveyed. The studies are then 
      investigated and classified by a generated taxonomy including following 
      categories: GIS software, application area, uncertainty, MCDM techniques, cell 
      sizes in GIS, and criteria. Based on the review conducted, it is observed that 
      while Analytical Hierarchy Process (AHP) and Weighted Linear Combination (WLC) 
      are the most widely used MCDM methods for weighting the criteria and ranking the 
      alternatives, respectively. On the other hand, while environmental dimension is 
      the most commonly preferred main criteria, surface water comes first in the 
      sub-criteria pool. Criteria analysis shows that surface and ground water, 
      geology, land use, distance to fault zone, distance to urban areas, and distance 
      to road and slope are the most commonly used criteria groups among others. These 
      classifications and observations are helpful for identifying research gaps in the 
      current literature and provide insights for future modeling and research efforts 
      in the field.
FAU - Ozkan, Baris
AU  - Ozkan B
AD  - Industrial Engineering Department, Ondokuz Mayis University, Samsun, Turkey.
FAU - Ozceylan, Eren
AU  - Ozceylan E
AUID- ORCID: 0000-0002-5213-6335
AD  - Industrial Engineering Department, Gaziantep University, Gaziantep, Turkey. 
      erenozceylan@gmail.com.
FAU - Saricicek, Inci
AU  - Saricicek I
AD  - Industrial Engineering Department, Eskisehir Osmangazi University, Eskisehir, 
      Turkey.
LA  - eng
PT  - Journal Article
PT  - Review
DEP - 20190906
PL  - Germany
TA  - Environ Sci Pollut Res Int
JT  - Environmental science and pollution research international
JID - 9441769
RN  - 0 (Solid Waste)
SB  - IM
MH  - Decision Support Techniques
MH  - *Geographic Information Systems
MH  - Refuse Disposal/methods
MH  - Software
MH  - *Solid Waste
MH  - Uncertainty
MH  - *Waste Disposal Facilities
OTO - NOTNLM
OT  - Geographic information system
OT  - Landfill
OT  - Multi-criteria decision-making
OT  - Review
OT  - Site suitability
EDAT- 2019/09/08 06:00
MHDA- 2020/01/14 06:00
CRDT- 2019/09/08 06:00
PHST- 2019/05/10 00:00 [received]
PHST- 2019/08/26 00:00 [accepted]
PHST- 2019/09/08 06:00 [pubmed]
PHST- 2020/01/14 06:00 [medline]
PHST- 2019/09/08 06:00 [entrez]
AID - 10.1007/s11356-019-06298-1 [pii]
AID - 10.1007/s11356-019-06298-1 [doi]
PST - ppublish
SO  - Environ Sci Pollut Res Int. 2019 Oct;26(30):30711-30730. doi: 
      10.1007/s11356-019-06298-1. Epub 2019 Sep 6.