2017
DOI: 10.2174/1874836801711010237
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Construction Material-Based Methodology for Contingency Base Selection

Abstract: Background:Military and nonmilitary organizations need the capability to support their expeditionary forces by selecting a temporary base of operations that projects a minimal footprint and reduces logistical burdens. For example, strategically sited temporary bases anticipate impacts on the local context and its population of siting and operating temporary bases. Objective:This paper describes a methodology to assess the practicality of incorporating local construction materials when planning for contingency … Show more

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Cited by 3 publications
(2 citation statements)
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“…For example, the ENSITE team developed a tool to calculate the distance of a location to the nearest construction materials. To obtain the information on construction materials, the ENSITE team developed a methodology for scraping the web through both automated and manual means to obtain locations of construction materials (Al‐Chaar, Calfas, Weiss, Valentino, & Guerti, ; Al‐Chaar, Guertin, Valentino, Baxter, & Calfas, ). The reliance on global‐level data means that datasets with rich data for a specific area are often ignored.…”
Section: Methodsmentioning
confidence: 99%
“…For example, the ENSITE team developed a tool to calculate the distance of a location to the nearest construction materials. To obtain the information on construction materials, the ENSITE team developed a methodology for scraping the web through both automated and manual means to obtain locations of construction materials (Al‐Chaar, Calfas, Weiss, Valentino, & Guerti, ; Al‐Chaar, Guertin, Valentino, Baxter, & Calfas, ). The reliance on global‐level data means that datasets with rich data for a specific area are often ignored.…”
Section: Methodsmentioning
confidence: 99%
“…VESCA also supported the Engineer Site Selection for the Tactical Environment (ENSITE) work package. The ENSITE case study focused on civil unrest for the city of Dhaka, Bangladesh (Al-Chaar et al 2016). In this study, VESCA prepared manually coded event locations for several hundred events, and the data was used in the analysis of CB site locations.…”
Section: Scopementioning
confidence: 99%