An Agent-Based Model for Greening the City of Ravenna and Reducing Flooding at a Cultural Heritage Site

Eleonora Melandri; Emily West; Angela Santangelo; Rembrandt Koppelaar; Aitziber Egusquiza

doi:10.1007/978-981-99-8501-2_60

An Agent-Based Model for Greening the City of Ravenna and Reducing Flooding at a Cultural Heritage Site

Eleonora Melandri
, Emily West
, Angela Santangelo
, Rembrandt Koppelaar
, Aitziber Egusquiza^*

^*Corresponding author for this work

Urban Transformation Laboratory

University of Bologna
EcoWise Ekodenge Ltd.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

The paper presents an agent-based model exploring the impact of greening a city for groundwater flood risk reduction as a discussion tool to support urban planning decisions. The case study is an urban archaeological site in Ravenna, Italy. The model aimed to provide insights to generate discussion between researchers at the University of Bologna and the local authorities. The city map was divided into cells potentially suitable for modelled greening, combined with Ravenna precipitation and temperature data, and estimated scores for evapotranspiration and permeability. Generally, results indicate that more greening measures introduced correspond to a reduction in the volume of excess rainwater, with particular effectiveness in greened streets. Our results demonstrate the benefits of agent base modelling in the field of disaster risk management for testing measures prior to their implementation.

Original language	English
Title of host publication	Sustainability in Energy and Buildings 2023
Editors	John R. Littlewood, Lakhmi Jain, Robert J. Howlett
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	697-707
Number of pages	11
ISBN (Print)	9789819985005
DOIs	https://doi.org/10.1007/978-981-99-8501-2_60
Publication status	Published - 2024
Event	15th KES International Conference on Sustainability and Energy in Buildings, SEB 2023 - Bari, Italy Duration: 18 Sept 2023 → 20 Sept 2023

Publication series

Name	Smart Innovation, Systems and Technologies
Volume	378
ISSN (Print)	2190-3018
ISSN (Electronic)	2190-3026

Conference

Conference	15th KES International Conference on Sustainability and Energy in Buildings, SEB 2023
Country/Territory	Italy
City	Bari
Period	18/09/23 → 20/09/23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 11 Sustainable Cities and Communities
SDG 13 Climate Action

Keywords

Agent-based modelling
Climate change
Cultural heritage
Disaster risk management
Flooding

Access to Document

10.1007/978-981-99-8501-2_60

Cite this

Melandri, E., West, E., Santangelo, A., Koppelaar, R., & Egusquiza, A. (2024). An Agent-Based Model for Greening the City of Ravenna and Reducing Flooding at a Cultural Heritage Site. In J. R. Littlewood, L. Jain, & R. J. Howlett (Eds.), Sustainability in Energy and Buildings 2023 (pp. 697-707). (Smart Innovation, Systems and Technologies; Vol. 378). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-99-8501-2_60

Melandri, Eleonora ; West, Emily ; Santangelo, Angela et al. / An Agent-Based Model for Greening the City of Ravenna and Reducing Flooding at a Cultural Heritage Site. Sustainability in Energy and Buildings 2023. editor / John R. Littlewood ; Lakhmi Jain ; Robert J. Howlett. Springer Science and Business Media Deutschland GmbH, 2024. pp. 697-707 (Smart Innovation, Systems and Technologies).

@inproceedings{71272622c20746459c746c037f7a5256,

title = "An Agent-Based Model for Greening the City of Ravenna and Reducing Flooding at a Cultural Heritage Site",

abstract = "The paper presents an agent-based model exploring the impact of greening a city for groundwater flood risk reduction as a discussion tool to support urban planning decisions. The case study is an urban archaeological site in Ravenna, Italy. The model aimed to provide insights to generate discussion between researchers at the University of Bologna and the local authorities. The city map was divided into cells potentially suitable for modelled greening, combined with Ravenna precipitation and temperature data, and estimated scores for evapotranspiration and permeability. Generally, results indicate that more greening measures introduced correspond to a reduction in the volume of excess rainwater, with particular effectiveness in greened streets. Our results demonstrate the benefits of agent base modelling in the field of disaster risk management for testing measures prior to their implementation.",

keywords = "Agent-based modelling, Climate change, Cultural heritage, Disaster risk management, Flooding",

author = "Eleonora Melandri and Emily West and Angela Santangelo and Rembrandt Koppelaar and Aitziber Egusquiza",

note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.; 15th KES International Conference on Sustainability and Energy in Buildings, SEB 2023 ; Conference date: 18-09-2023 Through 20-09-2023",

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Melandri, E, West, E, Santangelo, A, Koppelaar, R & Egusquiza, A 2024, An Agent-Based Model for Greening the City of Ravenna and Reducing Flooding at a Cultural Heritage Site. in JR Littlewood, L Jain & RJ Howlett (eds), Sustainability in Energy and Buildings 2023. Smart Innovation, Systems and Technologies, vol. 378, Springer Science and Business Media Deutschland GmbH, pp. 697-707, 15th KES International Conference on Sustainability and Energy in Buildings, SEB 2023, Bari, Italy, 18/09/23. https://doi.org/10.1007/978-981-99-8501-2_60

An Agent-Based Model for Greening the City of Ravenna and Reducing Flooding at a Cultural Heritage Site. / Melandri, Eleonora; West, Emily; Santangelo, Angela et al.
Sustainability in Energy and Buildings 2023. ed. / John R. Littlewood; Lakhmi Jain; Robert J. Howlett. Springer Science and Business Media Deutschland GmbH, 2024. p. 697-707 (Smart Innovation, Systems and Technologies; Vol. 378).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Melandri, Eleonora

AU - West, Emily

AU - Santangelo, Angela

AU - Koppelaar, Rembrandt

AU - Egusquiza, Aitziber

N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

PY - 2024

Y1 - 2024

N2 - The paper presents an agent-based model exploring the impact of greening a city for groundwater flood risk reduction as a discussion tool to support urban planning decisions. The case study is an urban archaeological site in Ravenna, Italy. The model aimed to provide insights to generate discussion between researchers at the University of Bologna and the local authorities. The city map was divided into cells potentially suitable for modelled greening, combined with Ravenna precipitation and temperature data, and estimated scores for evapotranspiration and permeability. Generally, results indicate that more greening measures introduced correspond to a reduction in the volume of excess rainwater, with particular effectiveness in greened streets. Our results demonstrate the benefits of agent base modelling in the field of disaster risk management for testing measures prior to their implementation.

AB - The paper presents an agent-based model exploring the impact of greening a city for groundwater flood risk reduction as a discussion tool to support urban planning decisions. The case study is an urban archaeological site in Ravenna, Italy. The model aimed to provide insights to generate discussion between researchers at the University of Bologna and the local authorities. The city map was divided into cells potentially suitable for modelled greening, combined with Ravenna precipitation and temperature data, and estimated scores for evapotranspiration and permeability. Generally, results indicate that more greening measures introduced correspond to a reduction in the volume of excess rainwater, with particular effectiveness in greened streets. Our results demonstrate the benefits of agent base modelling in the field of disaster risk management for testing measures prior to their implementation.

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ER -

Melandri E, West E, Santangelo A, Koppelaar R, Egusquiza A. An Agent-Based Model for Greening the City of Ravenna and Reducing Flooding at a Cultural Heritage Site. In Littlewood JR, Jain L, Howlett RJ, editors, Sustainability in Energy and Buildings 2023. Springer Science and Business Media Deutschland GmbH. 2024. p. 697-707. (Smart Innovation, Systems and Technologies). doi: 10.1007/978-981-99-8501-2_60

An Agent-Based Model for Greening the City of Ravenna and Reducing Flooding at a Cultural Heritage Site

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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