Optimal Reserve Site Selection with Multiple Levels of Protection

2007 ◽  
Vol 34 (4) ◽  
pp. 725-739
Author(s):  
Justin C Williams ◽  
Charles S ReVelle ◽  
Wenjie Song
Keyword(s):  
Site Selection ◽  
Species Conservation ◽  
Reserve Site Selection ◽  
Step Procedure ◽  
Using Data ◽  
Optimal Reserve ◽  
Optimal Site ◽  
Multiple Categories ◽  
Selection Of

Most prior decision models for nature reserve-site selection have considered just two options for candidate sites: protected or not protected. In many reserve planning contexts this is an artificial and unrealistic limitation, as multiple categories of protection may be possible and desirable, especially if certain conservation elements such as rare species require special protection or management. In this paper we consider the implications of different levels of protection for species conservation and for the selection of reserve sites. New integer programming models are formulated for this problem of optimal site selection, and are presented in the context of a five-step procedure for identifying tradeoffs in the number of sites selected for each of multiple categories of protection. Results of a case study using data from Oregon are presented and compared to results from a previous study by Csuti et al.

GIS Based Multi-Criteria decision support system and machine learning for Hospital Site Selection case study Oran - Algeria

2022 ◽  
Vol 14 (1) ◽  
pp. 0-0
Keyword(s):  
Site Selection ◽  
Decision Makers ◽  
Analysis Method ◽  
Automatic Learning ◽  
Hospital Site ◽  
Set Up ◽  
High Level ◽  
Selection Of ◽  
The Ideal

The selection of hospital sites is one of the most important choice a decision maker has to take so as to resist the pandemic. The decision may considerably affect the outbreak transmission in terms of efficiency , budget, etc. The main targeted objective of this study is to find the ideal location where to set up a hospital in the willaya of Oran Alg. For this reason, we have used a geographic information system coupled to the multi-criteria analysis method AHP in order to evaluate diverse criteria of physiological positioning , environmental and economical. Another objective of this study is to evaluate the advanced techniques of the automatic learning . the method of the random forest (RF) for the patterning of the hospital site selection in the willaya of Oran. The result of our study may be useful to decision makers to know the suitability of the sites as it provides a high level of confidence and consequently accelerate the power to control the COVID19 pandemic.

Optimal Location of Sub-Station Using Q-GIS and Multi-Criteria Decision Making Approach

2018 ◽  
Vol 10 (2) ◽  
pp. 65-79 ◽  
Author(s):  
Shabbir Uddin ◽  
Sandeep Chakravorty ◽  
Amitava Ray ◽  
Karma Sonam Sherpa
Keyword(s):  
Site Selection ◽  
Solution Method ◽  
Assessment Method ◽  
Optimal Location ◽  
Multi Criteria Decision Making ◽  
Order Preference ◽  
Topsis Technique ◽  
Strength Of Association ◽  
Selection Of

In this article, methodologies have been proposed for site selection of sub-station considering technical and non-technical constraints. Firstly, a systematic frame has been developed considering various factors that influence the optimal location of the sub-station. Various factors considered are evaluated using DEMATEL-QFD. An evaluation has been done between the outcome of the TOPSIS (Technique for order preference by similarity to ideal solution) method and the COPRAS (Compressed Proportional Assessment) method. Finally, Spearman rank co-relation co-efficients indicates the strength of association of both the methodologies. A case study is done using GIS to prove the justification of the methodologies to the applied area. The application of the methodologies will help the decision maker improve the plan, location and grid renovation of the distribution sub-stations.

scholarly journals Case study scenarios in site selection of hazardous material facilities based on transportation preferences

2019 ◽  
Vol 27 (4) ◽  
pp. 317-333
Author(s):  
Babak Mehran ◽  
Musharraf Ahmad Khan ◽  
Mina Mehran ◽  
Hyukjae Roh ◽  
Satish Sharma
Keyword(s):  
Site Selection ◽  
Hazardous Material ◽  
Selection Of

scholarly journals Guidance for Optimal Site Selection of a Leadless Left Ventricular Endocardial Electrode Improves Acute Hemodynamic Response and Chronic Remodeling

2018 ◽  
Vol 4 (7) ◽  
pp. 860-868 ◽  
Author(s):  
Benjamin J. Sieniewicz ◽  
Jonathan M. Behar ◽  
Justin Gould ◽  
Simon Claridge ◽  
Bradley Porter ◽  
...  
Keyword(s):  
Site Selection ◽  
Hemodynamic Response ◽  
Left Ventricular ◽  
Chronic Remodeling ◽  
Endocardial Electrode ◽  
Optimal Site ◽  
Selection Of

Airstrip Site Selection in Coastal Labrador

1981 ◽  
Vol 35 (1) ◽  
pp. 17-25
Author(s):  
J. D. Innes ◽  
E. H. Smith ◽  
Allan Fiander
Keyword(s):  
Site Selection ◽  
Coastal Area ◽  
State Of The Art ◽  
Selection Process ◽  
Geometric Design ◽  
Digital Mapping ◽  
Data Requirements ◽  
Selection Of ◽  
Design Techniques

This paper examines a case study of the selection of nine airstrip sites in the coastal area of Labrador. The procedure used involved the procurement of better mapping for the site selection process. The benefits of this process are examined in the context of the data requirements for good airstrip selection. The site selection process is then examined utilizing state of the art digital mapping and computerized geometric design techniques.

scholarly journals Optimal Site Selection of Tidal Power Plants Using a Novel Method: A Case in China

Energies ◽  
2016 ◽  
Vol 9 (10) ◽  
pp. 832 ◽  
Author(s):  
Yunna Wu ◽  
Chuanbo Xu ◽  
Hu Xu
Keyword(s):  
Site Selection ◽  
Power Plants ◽  
Tidal Power ◽  
Novel Method ◽  
Optimal Site ◽  
Selection Of

scholarly journals Site Selection of Hazardous Waste Landfill: A Case Study of Qazvin Province

2020 ◽  
Vol 11 (3) ◽  
pp. 281-298
Author(s):  
R Samadi Khadem ◽  
E* Fataei ◽  
P Joharchi ◽  
M.E Ramezani ◽  
◽  
...  
Keyword(s):  
Hazardous Waste ◽  
Site Selection ◽  
Waste Landfill ◽  
Hazardous Waste Landfill ◽  
Selection Of
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