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Defining Energy Criteria in the Absence of Open Data: A Stakeholder-Oriented Approach Based on Multi-Criteria Analysis (MCA)
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Author(s): Francesca Abastante (Politecnico di Torino, Italy), Patrizia Lombardi (Politecnico di Torino, Italy)and Sara Torabi Moghadam (Politecnico di Torino, Italy)
Copyright: 2019
Pages: 22
Source title:
Spatial Planning in the Big Data Revolution
Source Author(s)/Editor(s): Angioletta Voghera (Politecnico di Torino, Italy)and Luigi La Riccia (Politecnico di Torino, Italy)
DOI: 10.4018/978-1-5225-7927-4.ch006
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Abstract
The urban decision processes should be optimized according to the current “green” context. Despite the literature advocating for an open availability of data to facilitate higher quality science and a more effective science-policy boundary, one of the main challenges when dealing with energy processes is the absence of accurate data. This chapter aims at illustrating a stakeholder-oriented approach based on multi-criteria analyses (MCA) in defining the set of evaluation criteria and their relevance in supporting the development of “what if” urban energy retrofitting scenarios. In this regard, the SRF method has been used highlighting that the most important criteria for the problem in exam are related to economic and environmental aspects. In this context, big data visualization and geographical locations of the alternative scenarios, producing presentation features and performing spatial operations are fundamental. Hence, the authors supported the decision process through MC-SDSS to optimize the urban decision purposes. The results of this chapter are part of the national project EEB.
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