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An Agent-Based Model (ABM) for the Evaluation of Energy Redevelopment Interventions at District Scale: An Application for the San Salvario Neighborhood in Turin (Italy)

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Computational Science and Its Applications – ICCSA 2019 (ICCSA 2019)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 11621))

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Abstract

The optimization of mobility connections, the use of renewable energy resources and the retrofit of buildings are only some of the aspects that affect urban transformations and planning. Decision maker and urban planners must be faced with multi-dimensional aspects and objectives in a long-term vision. In that context, different methods have been developed in order to consider these multi-dimensional perspectives. However, only a few approaches try to simulate the effects in a multi-temporal way. Agent-based model (ABM) try to do exactly this, considering, in particular, the interactions among agents through a bottom-up approach. Aim of this research is to apply an ABM to a real case study in the San Salvario neighborhood in Turin (Italy), simulating a complex socio-economic-architectural adaptive system to study the temporal diffusion of energy requalification operations and the willingness of inhabitants to adopt different retrofit actions. The two applications were, firstly, built on a computer grid environment and, then, integrated with GIS maps, in order to analyse the effects in the real distribution of buildings of San Salvario. Agents are designed to choose which system adopt, based on different theories of human behaviors. We discuss limitations of the current models and we suggest future directions of this research.

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Acknowledgment

Part of the work illustrated in the present paper has been developed in the research project titled VALIUM (Valuation for Integrated Urban Management) that has been supported from the Department of Regional and Urban Studies and Planning - DIST of the Politecnico di Torino (I call 2017).

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Authors and Affiliations

  1. Interuniversity Department of Regional and Urban Studies and Planning (DIST), Politecnico di Torino, Castello del Valentino: Viale Pier Andrea Mattioli, 39, 10125, Turin, TO, Italy

    Caterina Caprioli, Marta Bottero & Marialisa Pellegrini

Authors
  1. Caterina Caprioli
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  2. Marta Bottero
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  3. Marialisa Pellegrini
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Corresponding author

Correspondence to Caterina Caprioli .

Editor information

Editors and Affiliations

  1. Covenant University, Ota, Nigeria

    Sanjay Misra

  2. University of Perugia, Perugia, Italy

    Osvaldo Gervasi

  3. University of Basilicata, Potenza, Italy

    Beniamino Murgante

  4. Saint Petersburg State University, Saint Petersburg, Russia

    Elena Stankova

  5. Saint Petersburg State University, Saint Petersburg, Russia

    Vladimir Korkhov

  6. Polytechnic University of Bari, Bari, Italy

    Carmelo Torre

  7. University of Minho, Braga, Portugal

    Ana Maria A.C. Rocha

  8. Monash University, Clayton, VIC, Australia

    David Taniar

  9. Kyushu Sangyo University, Fukuoka, Japan

    Bernady O. Apduhan

  10. Polytechnic University of Bari, Bari, Italy

    Eufemia Tarantino

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Caprioli, C., Bottero, M., Pellegrini, M. (2019). An Agent-Based Model (ABM) for the Evaluation of Energy Redevelopment Interventions at District Scale: An Application for the San Salvario Neighborhood in Turin (Italy). In: Misra, S., et al. Computational Science and Its Applications – ICCSA 2019. ICCSA 2019. Lecture Notes in Computer Science(), vol 11621. Springer, Cham. https://doi.org/10.1007/978-3-030-24302-9_28

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  • DOI: https://doi.org/10.1007/978-3-030-24302-9_28

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-24301-2

  • Online ISBN: 978-3-030-24302-9

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