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Decision-Making with Multicriteria Optimization and GIS for Park Locations

  • Mayra Elizondo-CortésEmail author
  • Adela Jiménez-Montero
Chapter
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Abstract

In this chapter, we present a modeling process that allows us to make decisions using optimization multi-criteria and locate parks (gardens or small recreational green areas) from a selection of a set of green areas conducive to scattering in urban areas, such as Mexico City. This modeling process consist of steps ranging from the structuring of the problem to the use of a procedure that interfaces between a Geographic Information System and multi-criteria optimization model of a discrete location. By using this procedure, we obtained results for locating parks. Relative to the optimization model used, we achieved a formulation improvement over the original model proposed by Molano and Sarmiento (Modelo de localización de áreas urbanas para construcción de nuevos parques vecinales en Bogotá, Tesis de maestría, Universidad de los Andes, Bogotá, 2007) by reducing the number of binary variables needed and therefore reducing its complexity. The proper use of operations research methodology promoted verified and validated results for real problems, including the case study of the Cuauhtémoc locality in Mexico City.

Keywords

Modeling process Multi-criteria optimization Multi-criteria location models Green place locations Urban planning 

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Copyright information

© Springer Nature Switzerland AG 2021

Authors and Affiliations

  • Mayra Elizondo-Cortés
    • 1
    Email author
  • Adela Jiménez-Montero
    • 1
  1. 1.Department of Systems, Faculty of EngineeringNational Autonomous University of MexicoMexico CityMexico

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