A Hybrid AHP Approach and GIS-Based Methods as Fundamental Tools in the SECAP’s Decision-Making Process

Gabriele D’Orso (), Marco Migliore, Giorgia Peri and Gianfranco Rizzo
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Gabriele D’Orso: Department of Engineering, University of Palermo, 90133 Palermo, Italy
Marco Migliore: Department of Engineering, University of Palermo, 90133 Palermo, Italy
Giorgia Peri: Department of Engineering, University of Palermo, 90133 Palermo, Italy
Gianfranco Rizzo: Department of Engineering, University of Palermo, 90133 Palermo, Italy

Sustainability, 2023, vol. 15, issue 4, 1-18

Abstract: Adapting to climate change and mitigating its impacts are the main challenges for cities today. One objective that the European Commission has set in recent decades is reducing climate change inaction, and several political actions have been implemented. Among these actions, the Covenant of Mayors led to the development and adoption of Sustainable Energy and Climate Action Plans (SECAPs) by many cities worldwide. A challenge that local authorities must face during the development of a SECAP is the identification of the policies to be included in the plan. This paper presents a case study to show the validity of using a hybrid analytic hierarchy process (AHP) approach and various geographic information system (GIS)-based methods to support local authorities in the decision-making process during the development of SECAPs. These methods can improve participation among the community and stakeholders, at the same time making it possible to choose the best actions to reduce emissions and energy consumption and optimally allocate financial resources.

Keywords: Sustainable Energy and Climate Action Plan (SECAP); transport sector; decision support system (DSS); analytic hierarchy process (AHP); multi-criteria decision analysis (MCDA) (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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