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 -