Analysis of the Factors Affecting Border Outpost Location Using Fuzzy Inference System (Case Study: Border Area between Khorasan Razavi Province, Iran, and Afghanistan)

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Akhbari Malihe; Zarghani Seyed Hadi; Minaei Masoud

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ISSN: 2588-4824

Journal Paper

Paper Information

Journal: POLITICAL GEOGRAPHY QUARTERLY Year:2022 | Volume:7 | Issue:3 Page(s): 51-77

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Title

Analysis of the Factors Affecting Border Outpost Location Using Fuzzy Inference System (Case Study: Border Area between Khorasan Razavi Province, Iran, and Afghanistan)

Author(s)

Akhbari Malihe | Zarghani Seyed Hadi | Minaei Masoud | Issue Writer Certificate

Keywords

border securityQ4

CheckpointQ4

Remote sensingQ4

Geographical information systemQ4

RS & GISQ4

Abstract

border security refers to prevention of any act against the law along official borderlines of a particular state and regulation of the trans-border passage of individuals, goods, and domestic animals through legally allowed border crossings while carefully observing legal rules and obligations. Every nation tries its best to keep the borders totally blocked except for particular border crossings where trans-border passage has been allowed upon previous agreements. Many factors affect border security of a country. The plans and policies adopted by countries to appropriately and effectively control their borders are among the most important factors contributing to security performance along the borders. In this respect, careful locating of police stations and border outposts impose large contributions to efficiently control and management of borders and the establishment of security along the borderlines and within the border area. The present study aims at investigating and analyzing the factors affecting border outpost location with the help of Remote sensing and Geographical information system (GIS) software tools. In order to extract, examine and analyze the required information, images taken by the OLI sensor on Landsat satellite in 2018 were loaded with ENVI 5.3 software where Remote sensing and GIS techniques as well as fuzzy inference system and analytic hierarchical process (AHP) were utilized. Finally, output map was classified into three classes, namely suitable, moderate, and unsuitable land uses. It should be noted that the analyses were performed using 13 criteria, namely land use, slope, border right-of-way, territory of existing outposts, right-of-way of protected zones, road access, territories of cities and villages, power transmission lines, watersheds, water channels, railways, and faults.

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