Abstract
Multicriteria, Multiresolution Modeling of Suburban Residential Landscape Alternatives: Water-Efficient Villas in the Arid Middle East
Highlights
Multicriteria assessment methods, simulation tools, and decision support tools for landscape assessment and design typically rely on two-dimensional Geographic Information System or satellite data and focus on the urban or regional scale (Pechanec et al 2015; Koschke et al 2012; Soares-Filho et al 2002)
This paper presents a new landscape design assessment tool (LDAT) that integrates multicriteria decision analysis (MCDA) with multiresolution spatial analysis (MRSA) for comparing villa landscape design options
In the middle-ranked options, the benefits of shading and privacy are weighed against water and landscape costs
Summary
Multicriteria assessment methods, simulation tools, and decision support tools for landscape assessment and design typically rely on two-dimensional Geographic Information System or satellite data and focus on the urban or regional scale (Pechanec et al 2015; Koschke et al 2012; Soares-Filho et al 2002). The use of photographs and renderings to assess household landscape preferences is well-established and sometimes includes water use or cost heuristics (Kuper 2017; Hayden et al 2015; Nassauer et al 2009; Zheng et al 2011). This modeling approach contributes to urban landscape and water planning research and practice in several ways. No publicly available tool or published model known to the authors deploy a spatially explicit three-dimensional model to perform multicriteria assessment of landscape performance This greatly improves the accuracy of simulations and allows the assessment and comparison of both existing conditions and new design options. Generating a full-factorial analysis at the higher resolution would increase the compute time by 200 billion times (or 400,000 years)
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