Multicriteria Spatial Decision Support Systems for Future Urban Energy Retrofitting Scenarios

Patrizia Lombardi, Francesca Abastante, Sara Torabi Moghadam and Jacopo Toniolo
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Patrizia Lombardi: InterUniversity Department of Regional and Urban Studies and Planning (DIST), Polytechnic University of Turin, 39 Viale Mattioli, 10125 Turin, Italy
Francesca Abastante: InterUniversity Department of Regional and Urban Studies and Planning (DIST), Polytechnic University of Turin, 39 Viale Mattioli, 10125 Turin, Italy
Sara Torabi Moghadam: InterUniversity Department of Regional and Urban Studies and Planning (DIST), Polytechnic University of Turin, 39 Viale Mattioli, 10125 Turin, Italy
Jacopo Toniolo: InterUniversity Department of Regional and Urban Studies and Planning (DIST), Polytechnic University of Turin, 39 Viale Mattioli, 10125 Turin, Italy

Sustainability, 2017, vol. 9, issue 7, 1-13

Abstract: Nowadays, there is an increasing concern about sustainable urban energy development taking into account national priorities of each city. Many cities have started to define future strategies and plans to reduce energy consumption and greenhouse gas emissions. Urban energy scenarios involve the consideration of a wide range of conflicting criteria, both socio-economic and environmental ones. Moreover, decision-makers (DMs) require proper tools that can support their choices in a context of multiple stakeholders and a long-term perspective. In this context, Multicriteria Spatial Decision Support Systems (MC-SDSS) are often used in order to define and analyze urban scenarios since they support the comparison of different solutions, based on a combination of multiple factors. The main problem, in relation to urban energy retrofitting scenarios, is the lack of appropriate knowledge and evaluation criteria. The latter are crucial for delivering and assessing urban energy scenarios through a MC-SDSS tool. The main goal of this paper is to analyze and test two different methods for the definition and ranking of the evaluation criteria. More specifically, the paper presents an on-going research study related to the development of a MC-SDSS tool able to identify and evaluate alternative energy urban scenarios in a long-term period perspective. This study refers to two Smart City and Communities research projects, namely: DIMMER (District Information Modeling and Management for Energy Reduction) and EEB (Zero Energy Buildings in Smart Urban Districts).

Keywords: multicriteria spatial decision support system (MC-SDSS); criteria definition; criteria ranking; urban energy scenarios (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (10)

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