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Article

Supporting Policy Design for the Diffusion of Cleaner Technologies: A Spatial Empirical Agent-Based Model

Politecnico di Torino, Interuniversity Department of Regional and Urban Studies and Planning (DIST), Viale Mattioli 39, 10125 Torino, Italy
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ISPRS Int. J. Geo-Inf. 2020, 9(10), 581; https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi9100581
Received: 23 August 2020 / Revised: 21 September 2020 / Accepted: 28 September 2020 / Published: 1 October 2020
(This article belongs to the Special Issue Geo-Information Science in Planning and Development of Smart Cities)
Renewable energy resources and energy-efficient technologies, as well as building retrofitting, are only some of the possible strategies that can achieve more sustainable cities and reduce greenhouse gas emissions. Subsidies and incentives are often provided by governments to increase the number of people adopting these sustainable energy efficiency actions. However, actual sales of green products are currently not as high as would be desired. The present paper applies a hybrid agent-based model (ABM) integrated with a Geographic Information System (GIS) to simulate a complex socio-economic-architectural adaptive system to study the temporal diffusion and the willingness of inhabitants to adopt photovoltaic (PV) systems. The San Salvario neighborhood in Turin (Italy) is used as an exemplary case study for testing consumer behavior associated with this technology, integrating social network theories, opinion formation dynamics and an adaptation of the theory of planned behavior (TPB). Data/characteristics for both buildings and people are explicitly spatialized with the level of detail at the block scale. Particular attention is given to the comparison of the policy mix for supporting decision-makers and policymakers in the definition of the most efficient strategies for achieving a long-term vision of sustainable development. Both variables and outcomes accuracy of the model are validated with historical real-world data. View Full-Text
Keywords: Geographic Information System (GIS); sustainable development; eco-district; photovoltaic system; innovation diffusion; energy; decision-making process; consumer behavior; social network; theory of planned behavior Geographic Information System (GIS); sustainable development; eco-district; photovoltaic system; innovation diffusion; energy; decision-making process; consumer behavior; social network; theory of planned behavior
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MDPI and ACS Style

Caprioli, C.; Bottero, M.; De Angelis, E. Supporting Policy Design for the Diffusion of Cleaner Technologies: A Spatial Empirical Agent-Based Model. ISPRS Int. J. Geo-Inf. 2020, 9, 581. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi9100581

AMA Style

Caprioli C, Bottero M, De Angelis E. Supporting Policy Design for the Diffusion of Cleaner Technologies: A Spatial Empirical Agent-Based Model. ISPRS International Journal of Geo-Information. 2020; 9(10):581. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi9100581

Chicago/Turabian Style

Caprioli, Caterina; Bottero, Marta; De Angelis, Elena. 2020. "Supporting Policy Design for the Diffusion of Cleaner Technologies: A Spatial Empirical Agent-Based Model" ISPRS Int. J. Geo-Inf. 9, no. 10: 581. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi9100581

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