Nowadays, urban regeneration processes increasingly face energy issues. The European Union has recently adopted some directives for promoting energy redevelopment and diffusion of almost zero energy buildings at a large-scale with a view to post-carbon cities. However, to achieve a sustainable growth, the reduction of the greenhouse gas and energy consumption is not sufficient. A wide range of problem dimensions must be investigated and considered, such as social, economic and environmental aspects. In this multidimensional context, to investigate the stakeholders’ role and to understand their objectives and desires is essential not only to achieve consensus among parties but also to increase planners’ capabilities in solving decision problems. In this context, the agent-based model (ABM) is of interest to urban planners and municipalities, thanks to its bottom-up approach. The possibility to observe the agent’s (individual actors) actions come from the interactions among them in a specific environment is particularly important to address the sustainable and long-term vision of a city. To those aspects is added the necessity to link this simulation model with spatial and temporal analysis, to create a real world of investigation. The use of GIS and its linkage with ABM seems particularly effective to achieve the final goal. The case study investigates potentials and limits coming from the integration of the two methods in the evaluation of different scenarios with the aim to realize an eco-district in the heart of Turin (Italy). The objective of the research is to use the San Salvario neighbourhood as a test-bed for an upgrading of the overall city sustainability.

Agent-based modelling and geographic information system for evaluation of eco-district's scenarios / Caprioli, Caterina; Bottero, Marta - In: Environmental and territorial modelling for planning and design / Leone A., Gargiulo C.. - ELETTRONICO. - Naples : Rocco Papa, University of Naples Federico II, Italy, 2018. - ISBN 978-88-6887-048-5. - pp. 35-45 [10.6093/978-88-6887-048-5]

Agent-based modelling and geographic information system for evaluation of eco-district's scenarios

Caprioli Caterina;Bottero Marta
2018

Abstract

Nowadays, urban regeneration processes increasingly face energy issues. The European Union has recently adopted some directives for promoting energy redevelopment and diffusion of almost zero energy buildings at a large-scale with a view to post-carbon cities. However, to achieve a sustainable growth, the reduction of the greenhouse gas and energy consumption is not sufficient. A wide range of problem dimensions must be investigated and considered, such as social, economic and environmental aspects. In this multidimensional context, to investigate the stakeholders’ role and to understand their objectives and desires is essential not only to achieve consensus among parties but also to increase planners’ capabilities in solving decision problems. In this context, the agent-based model (ABM) is of interest to urban planners and municipalities, thanks to its bottom-up approach. The possibility to observe the agent’s (individual actors) actions come from the interactions among them in a specific environment is particularly important to address the sustainable and long-term vision of a city. To those aspects is added the necessity to link this simulation model with spatial and temporal analysis, to create a real world of investigation. The use of GIS and its linkage with ABM seems particularly effective to achieve the final goal. The case study investigates potentials and limits coming from the integration of the two methods in the evaluation of different scenarios with the aim to realize an eco-district in the heart of Turin (Italy). The objective of the research is to use the San Salvario neighbourhood as a test-bed for an upgrading of the overall city sustainability.
2018
978-88-6887-048-5
Environmental and territorial modelling for planning and design
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2755612