Optimal Site Selection of Military Bases in Meshginshahr township Using Geographic Information System (GIS) Capabilities and the Analytic Network Process (ANP) Model

Document Type : Extract article from research project

Authors

1 Ph.D Student, Department of Physical Geography, Faculty of Social Sciences, University of Mohaghegh Ardabili, Ardabil, Iran.

2 Professor, Department of Physical Geography, Faculty of Social Sciences, University of Mohaghegh Ardabili, Ardabil, Iran.

Abstract
Background and Objective: Multi-criteria decision-making methods combined with Geographic Information Systems (GIS) enable the simultaneous evaluation of various environmental, infrastructural, and security criteria, assisting in the optimal selection of locations for the establishment of military bases. Accordingly, the aim of this study is to locate military bases in Meshginshahr County using the Analytic Network Process (ANP) model and GIS.
Methodology:To achieve the research objective, a survey method was first employed by designing a questionnaire to collect expert opinions on the factors influencing the siting of military bases in the study area. In the next step, necessary data layers were digitized based on existing maps, and a database was created in the ArcGIS environment. Data weighting was carried out using the ANP method. Finally, the zoning map of the study area was prepared by integrating and overlaying the selected layers.
Findings and Results: The results indicated that 15.67% of the county's area falls within the "highly suitable" class and 17.97% within the "suitable" class, mainly located in the central and eastern parts of the county. In contrast, 25.55% is categorized as "unsuitable" and 21.48% as "highly unsuitable," primarily found in the mountainous and steep western and southern regions.This study demonstrated that integrating multi-criteria decision-making models with GIS spatial analysis can significantly assist in optimizing the site selection of military bases while minimizing environmental and security conflicts.

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Abedini, Musa, Shahmohammadi, Nasrin, and Pasban, Amir Hossam (2013). Investigating the risk of flooding in Meshginshahr County using WMS and HEC-RAS models. Geography and Human Relations, 6(3), 373-401. 10.22034/gahr.2023.412718.1929
Asghari Saraskanroud, Sayyad, Mousavi, Mirnajef, and Mahdavi, Sajjad. (2019). Analysis of geomorphological factors in the location of military-defense centers using ANP and GIS. The study area: Border counties of West Azerbaijan Province. Geographical Planning of Space, 9(33), 77-96. 10.30488/gps.2019.91871
Basile, R. & Ciccarelli, C. (2018). The location of the Italian manufacturing industry. 18(3), 627-661. doi.org/10.1093/jeg/lbx033
Jafarzadeh, Jafar, and Valizadeh Kamran, Khalil. (2018). Location of military barracks in Ardabil city with passive defense approach (using integration of remote sensing, GIS and multi-criteria decision-making methods). Urban Research and Planning, 9(32), 41-52. 20.1001.1.22285229.1397.9.32.4.1
Jensen, B. M. (2018), The role of ideas in defense planning: revisiting the revolution in military affairs, Defence studies, 18(3), 302-317. DOI:10.1080/14702436.2018.1497928
Khabazi, Mustafa, Sabahi Garaghani, Yaser, and Nazeri, Bahareh. (2018). Evaluation of military barracks location criteria based on passive defense strategies against possible future threats (case study: Kerman 05-06 barracks). Defense Futures Studies, 3(9), 111-135. https://www.dfsr.ir/article_34269.html
Liu, Ch., Xiao, B., & Wang, W. (2020), Analysis on project management of military barracks in high altitude area, IOP Conference Series: aterials Science and Engineering, 780(5), 052013. DOI:10.1088/1757-899X/780/5/052013
Mendoza, G., Alan, B., Anderson, G., & Gertner, Z. (2002), Integration Multi criteria Analysis and GIS for land condition Assessment: part II allocation for Military training area, Journal of Geographic Information and decision Analysis, 6(1), 17-30. https://www.researchgate.net/publication/2570034
Momeni, M. (2002). The position of military and civilian defense in land planning, collection of articles on land planning and defense. Tehran, Imam Hussein University (AS). https://www.magiran.com/paper/1451204
Nicoara, G., & pinzariu, S. (2021). considerations regarding the location and the role of organizational culture in the Romanian military environment, land forces avademy review, 26(1), 55-61. DOI:10.2478/raft-2021-0009
Nikbakht, Mahboobeh, Deznardi, Zeinab, and Esmaeilzadeh, Hadi. (2019). Locating border checkpoints in the northeastern regions of the country using the FAHP integrated model (case study: Lotfabad, Nokhandan, Bajgiran). Journal of Greater Khorasan, 13(49), 69-86. 10.22034/jgk.2022.308612.0
Noori Kalkanari, Jaber. (2019). Criteria for locating military barracks considering passive defense aspects. Passive Defense, 10(1): 13-44. https://www.noormags.ir/view/fa/articlepage/1495330
Paoletti, M. E. Haut, J. M. Fernandez-Beltran, R. Plaza, J. Plaza, A. J. & Pla, F. (2018). Deep pyramidal residual networks for spectral spatial hyperspectral image classification. IEEE Transactions on Geoscience and Remote Sensing, 57(2), 740-754. doi:10.1016/j.isprsjprs.2017.11.021, 2017.
Pasban, Amir Hossam, and Abedini, Musa (2015). Investigation of effective geomorphological factors in optimal location of military barracks using remote sensing data in GIS environment (case study: Khalkhal city, Ardabil province). Sustainable Urban and Regional Development Studies, https://www.srds.ir/article_218410.html
Pashazadeh, Manouchehr, Seydin, Afshar, and Parsay-Moghaddam, Mehdi. (2018). Analysis of optimal locations of military installations based on defense and security considerations using GIS (Case study: Ardabil Province). Military Management, 17(2), 23-51. https://jmm.iranjournals.ir/article_29077.html
Rahimi, Somayeh, and Eshghi, Kourosh. (2008). Determining the optimal mix of Iran's energy resources using network analysis. Energy Economics Studies, 5(18), 123-160. https://ensani.ir/fa/article/70473
References
Rezaei, Hassan, and Moradi, Maryam. (1400). Identifying the dimensions and components of the location of military barracks, Military Management. 21(4), 63-82. 10.22034/iamu.2022.540110.2654
Rostaei, Shahram, Fathi, Mohammad Hossein, Fakhri, Sirous, and Mohammadifar, Adel. (2013). Geomorphological analysis of the location of military centers (case study: western slopes of Sahand Mountain). Human Geography Research, 45(3), 209-228. 10.22059/jhgr.2013.35253
Sadegh Amalnik, Mohsen, Ansarinejad, Ayub, Ansarinejad, Samad, and Miri, Sina. (2010). Finding causal relationships and ranking critical factors for the success and failure of information systems implementation projects using a combination of ANP and DEMATEL fuzzy group methods. Industrial Engineering, 44(2), 195-212.
Saidi, Ali, Bagheri, Hossein, and Shams, Meysam. (1392). Location of military garrisons with a passive defense approach (case study: Torbat Jam city using a combination of GIS and MCDA). Defense Policy, 22(84), 193-216. https://www.noormags.ir/view/fa/articlepage/1083050
Senobari, R. K. Sadeh, J. & Borsi, H. (2018). Frequency response analysis (FRA) of transformers as a tool for fault detection and location: A review. Electric Power Systems Research, 155, 172-183. doi.org/10.1016/j.epsr.2017.10.014
Sepahvand, Asiyeh, Sepahvand, Ali, and Amiri, Alireza. (1402). Calculating the importance of effective indicators in the location of military establishments with emphasis on the period of sacred defense, a case study: Kermanshah province. Geographical Information, 32(126), 131-152. 10.22131/sepehr.2023.557367.2891
Sobhani, Behrouz, and Mamlouki, Morteza (2015). Optimal location of agricultural areas using remote sensing data and hierarchical analysis (case study: Ardabil city). Sustainable Urban and Regional Development Studies, 6(3). https://www.srds.ir/article_217273.html
Ural, E., Severcan, C. (2022). Assessing user preferences regarding military site regeneration: The case of the Fourth Corps Command in Ankara. Cities, 129, 103-118. DOI:10.1016/j.cities.2022.103807
White, R., Boult, T.,  & Chow, E. (2014).  A computational asset vulnerability model for the strategic protection of the critical infrastructure, International Journal of Critical Infrastructure Protection, 7(3), 167-177. DOI:10.1016/j.ijcip.2014.06.002
Yang, R. Xu, Q. Au, M. H. Yu, Z. Wang, H. & Zhou, L. (2018). Position based cryptography with location privacy: A step for fog computing. Future Generation Computer Systems, 78, 799-806. DOI:10.1016/j.future.2017.05.035
Yigitcanlar, T. Dur, F., & Dizdaroglu, D. (2015), towards prosperous sustainable cities: A multiscalar urban sustainability assessment approach, Habitat International, 45, 36- 46. DOI:10.1016/j.habitatint.2014.06.03336- 46.
Zabardast, Esfandiar. (2010). Application of the network analysis process in urban and regional planning. Fine Arts Journal, 2(41), 90-79. 20.1001.1.22286020.1389.2.41.7.4
Volume 6, Issue 3 - Serial Number 21
Winter 2025
Pages 291-309

  • Receive Date 25 February 2025
  • Revise Date 09 April 2025
  • Accept Date 29 April 2025
  • First Publish Date 30 April 2025
  • Publish Date 22 November 2025