Choosing the best alternative with topsis-python
Better Decisions
© Photo by Jon Tyson on Unsplash
Complex decisions require the evaluation of multiple criteria. This article shows how to support such decisions with Linux, Python, and the TOPSIS Multi-Criteria Decision Model.
Zoning is the process by which a city's authorities define the type of land use that will be allowed in different areas of the city. Some of the zoning objectives include the promotion of tourism, employment, safety, and the general well-being of communities. As you might expect, the zoning process generates disputes due to different interests and visions.
For example, some residents might prefer to locate the industrial zone on the periphery, and others might want it in the center of the city. Which is better? The answer depends on multiple factors (Figure 1). For example, the city of Lyon, France, had its industries located in the periphery. When it suffered a strong economic collapse in the second half of the 20th century, it found itself with a deteriorated and dangerous area that needed a strong investment to be recovered. The opposite was true of Manchester, England, which had an industrial zone in the heart of the city. During the economic crisis of the 1930s, depressed industries degraded and devalued downtown properties.
Figure 1: Atypical zoning proposal (Arica, Chile. Public domain).
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