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^*

^*Autor correspondiente de este trabajo

Laboratorio de Transformación urbana

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

Resumen

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.

Idioma original	Inglés
Título de la publicación alojada	Sustainability in Energy and Buildings 2023
Editores	John R. Littlewood, Lakhmi Jain, Robert J. Howlett
Editorial	Springer Science and Business Media Deutschland GmbH
Páginas	697-707
Número de páginas	11
ISBN (versión impresa)	9789819985005
DOI	https://doi.org/10.1007/978-981-99-8501-2_60
Estado	Publicada - 2024
Evento	15th KES International Conference on Sustainability and Energy in Buildings, SEB 2023 - Bari, Italia Duración: 18 sept 2023 → 20 sept 2023

Serie de la publicación

Nombre	Smart Innovation, Systems and Technologies
Volumen	378
ISSN (versión impresa)	2190-3018
ISSN (versión digital)	2190-3026

Conferencia

Conferencia	15th KES International Conference on Sustainability and Energy in Buildings, SEB 2023
País/Territorio	Italia
Ciudad	Bari
Período	18/09/23 → 20/09/23

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

Acceder al documento

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

Otros archivos y enlaces

Enlace a la publicación en Scopus

Citar esto

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. En 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",

year = "2024",

doi = "10.1007/978-981-99-8501-2_60",

language = "English",

isbn = "9789819985005",

series = "Smart Innovation, Systems and Technologies",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "697--707",

editor = "Littlewood, {John R.} and Lakhmi Jain and Howlett, {Robert J.}",

booktitle = "Sustainability in Energy and Buildings 2023",

address = "Germany",

}

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. En 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, Italia, 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).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

TY - GEN

T1 - An Agent-Based Model for Greening the City of Ravenna and Reducing Flooding at a Cultural Heritage Site

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.

KW - Agent-based modelling

KW - Climate change

KW - Cultural heritage

KW - Disaster risk management

KW - Flooding

UR - http://www.scopus.com/inward/record.url?scp=85188712603&partnerID=8YFLogxK

U2 - 10.1007/978-981-99-8501-2_60

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

M3 - Conference contribution

AN - SCOPUS:85188712603

SN - 9789819985005

T3 - Smart Innovation, Systems and Technologies

SP - 697

EP - 707

BT - Sustainability in Energy and Buildings 2023

A2 - Littlewood, John R.

A2 - Jain, Lakhmi

A2 - Howlett, Robert J.

PB - Springer Science and Business Media Deutschland GmbH

T2 - 15th KES International Conference on Sustainability and Energy in Buildings, SEB 2023

Y2 - 18 September 2023 through 20 September 2023

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. En Littlewood JR, Jain L, Howlett RJ, editores, 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

Resumen

Serie de la publicación

Conferencia

ODS de las Naciones Unidas

Acceder al documento

Otros archivos y enlaces

Huella

Citar esto