Locating Neighborhood Parks with a Lexicographic Multiobjective Optimization Method

Jorge A. Sefair (), Adriana Molano (), Andrés L. Medaglia () and Olga L. Sarmiento ()
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Jorge A. Sefair: Universidad de los Andes
Adriana Molano: Universidad de los Andes
Andrés L. Medaglia: Universidad de los Andes
Olga L. Sarmiento: Universidad de los Andes

Chapter Chapter 6 in Community-Based Operations Research, 2012, pp 143-171 from Springer

Abstract: Abstract In rapidly urbanized and dense cities public parks, open green spaces, and recreational infrastructure have been associated with physical and mental health, quality of life (Sarmiento etal., 2010), promotion of healthy life style, and social, economic, and environmental benefits (Li, Wang, Paulussen, & Liu, 2005; Coley, Kuo, & Sullivan, 1997). Urban parks promote healthy lifestyles including physical activity (Gómez etal.2010a, 2010b; Humpel, Owen, & Leslie, 2002; Bedimo-Rung, Mowen, & Cohen, 2005), contributing to the prevention of chronic diseases (Andersen, Schnohr, Schroll, & Hein, 2000; Cohen et al., 2007; Yancey et al., 2007; Floyd, Spengler, Maddock, Gobster, & Suau, 2008). In addition, urban parks also offer communities a space to socialize (Gobster, 1998; Seeland, Dübendorfer, & Hansmann, 2009), experience nature, relax, and even contribute to climate stabilization (Chiesura, 2004; Nilsson etal., 2007 del Saz & García, 2007).

Keywords: Multiobjective Optimization; Facility Location; Service Area; Negative Externality; Connectivity Index (search for similar items in EconPapers)
Date: 2012
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DOI: 10.1007/978-1-4614-0806-2_6

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