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Is Agent-Based Simulation a Valid Tool for Studying the Impact of Nature-Based Solutions on Local Economy? A Case Study of Four European Cities

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2021
sustainability-13-07466-v2.pdf (8.545Mb)
Authors
Koppelaar, Rembrandt
Marvuglia, Antonino
Havinga, Lisanne
Brajković, Jelena
Rugani, Benedetto
Article (Published version)
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Abstract
Implementing nature-based solutions (NBSs) in cities, such as urban forests, can have multiple effects on the quality of life of inhabitants, acting on the mitigation of climate change, and in some cases also enhancing citizens’ social life and the transformation of customer patterns in commercial activities. Assessing this latter effect is the aim of this paper. An agent-based model (ABM) was used to assess change in commercial activities by small and midsize companies in retail due to the development of parks. The paper focuses on the potential capacity of NBS green spaces to boost retail companies’ business volumes, thus increasing their revenues, and at the same time create a pleasant feeling of space usability for the population. The type of NBS is not specified but generalized into large green spaces. The simulation contains two types of agents: (1) residents and (2) shop owners. Factors that attract new retail shops to be established in an area are simplified, based on... attractor points, which identify areas such as large green spaces within and around which shops can form. The simulations provided insights on the number of retail shops that can be sustained based on the purchasing behavior of citizens that walk in parks. Four European cities were explored: Szeged (Hungary), Alcalá de Henares (Spain), Çankaya Municipality (Turkey) and Milan (Italy). The model allowed analyzing the indirect economic benefit of NBSs (i.e., large green spaces in this case) on a neighborhood’s economic structure. More precisely, the presence of green parks in the model boosted the visits of customers to local small shops located within and around them, such as cafés and kiosks, allowing for the emergence of 5–6 retail shops (on average, for about 800 walking citizens) in the case of Szeged and an average 12–14 retail shops for a simulated population of 2900 persons that walk in parks in the case of Milan. Overall, results from this modeling exercise can be considered representative for large urban green areas usually visited by a substantial number of citizens. However, their pertinence to support for local policies for NBS implementation and other decision-making related activities of socioeconomic nature is hampered by the low representativeness of source data used for the simulations.

Keywords:
Urban green areas / Nature-based solutions (NBSs) / Agent-based model (ABM) / Firmographics / Market segmentation
Source:
Sustainability, 2021, 13, 13, 7466-
Publisher:
  • MDPI

DOI: 10.3390/su13137466

ISSN: 2071-1050

[ Google Scholar ]
URI
https://raf.arh.bg.ac.rs/handle/123456789/1200
Collections
  • Publikacije istraživača / Researchers' publications
Institution/Community
Arhitektonski fakultet
TY  - JOUR
AU  - Koppelaar, Rembrandt
AU  - Marvuglia, Antonino
AU  - Havinga, Lisanne
AU  - Brajković, Jelena
AU  - Rugani, Benedetto
PY  - 2021
UR  - https://raf.arh.bg.ac.rs/handle/123456789/1200
AB  - Implementing nature-based solutions (NBSs) in cities, such as urban forests, can have
multiple effects on the quality of life of inhabitants, acting on the mitigation of climate change, and
in some cases also enhancing citizens’ social life and the transformation of customer patterns in
commercial activities. Assessing this latter effect is the aim of this paper. An agent-based model
(ABM) was used to assess change in commercial activities by small and midsize companies in retail
due to the development of parks. The paper focuses on the potential capacity of NBS green spaces
to boost retail companies’ business volumes, thus increasing their revenues, and at the same time
create a pleasant feeling of space usability for the population. The type of NBS is not specified but
generalized into large green spaces. The simulation contains two types of agents: (1) residents and
(2) shop owners. Factors that attract new retail shops to be established in an area are simplified, based
on attractor points, which identify areas such as large green spaces within and around which shops
can form. The simulations provided insights on the number of retail shops that can be sustained
based on the purchasing behavior of citizens that walk in parks. Four European cities were explored:
Szeged (Hungary), Alcalá de Henares (Spain), Çankaya Municipality (Turkey) and Milan (Italy).
The model allowed analyzing the indirect economic benefit of NBSs (i.e., large green spaces in this
case) on a neighborhood’s economic structure. More precisely, the presence of green parks in the
model boosted the visits of customers to local small shops located within and around them, such as
cafés and kiosks, allowing for the emergence of 5–6 retail shops (on average, for about 800 walking
citizens) in the case of Szeged and an average 12–14 retail shops for a simulated population of
2900 persons that walk in parks in the case of Milan. Overall, results from this modeling exercise can
be considered representative for large urban green areas usually visited by a substantial number of
citizens. However, their pertinence to support for local policies for NBS implementation and other
decision-making related activities of socioeconomic nature is hampered by the low representativeness
of source data used for the simulations.
PB  - MDPI
T2  - Sustainability
T1  - Is Agent-Based Simulation a Valid Tool for Studying the Impact of Nature-Based Solutions on Local Economy? A Case Study of Four European Cities
VL  - 13
IS  - 13
SP  - 7466
DO  - 10.3390/su13137466
ER  - 
@article{
author = "Koppelaar, Rembrandt and Marvuglia, Antonino and Havinga, Lisanne and Brajković, Jelena and Rugani, Benedetto",
year = "2021",
abstract = "Implementing nature-based solutions (NBSs) in cities, such as urban forests, can have
multiple effects on the quality of life of inhabitants, acting on the mitigation of climate change, and
in some cases also enhancing citizens’ social life and the transformation of customer patterns in
commercial activities. Assessing this latter effect is the aim of this paper. An agent-based model
(ABM) was used to assess change in commercial activities by small and midsize companies in retail
due to the development of parks. The paper focuses on the potential capacity of NBS green spaces
to boost retail companies’ business volumes, thus increasing their revenues, and at the same time
create a pleasant feeling of space usability for the population. The type of NBS is not specified but
generalized into large green spaces. The simulation contains two types of agents: (1) residents and
(2) shop owners. Factors that attract new retail shops to be established in an area are simplified, based
on attractor points, which identify areas such as large green spaces within and around which shops
can form. The simulations provided insights on the number of retail shops that can be sustained
based on the purchasing behavior of citizens that walk in parks. Four European cities were explored:
Szeged (Hungary), Alcalá de Henares (Spain), Çankaya Municipality (Turkey) and Milan (Italy).
The model allowed analyzing the indirect economic benefit of NBSs (i.e., large green spaces in this
case) on a neighborhood’s economic structure. More precisely, the presence of green parks in the
model boosted the visits of customers to local small shops located within and around them, such as
cafés and kiosks, allowing for the emergence of 5–6 retail shops (on average, for about 800 walking
citizens) in the case of Szeged and an average 12–14 retail shops for a simulated population of
2900 persons that walk in parks in the case of Milan. Overall, results from this modeling exercise can
be considered representative for large urban green areas usually visited by a substantial number of
citizens. However, their pertinence to support for local policies for NBS implementation and other
decision-making related activities of socioeconomic nature is hampered by the low representativeness
of source data used for the simulations.",
publisher = "MDPI",
journal = "Sustainability",
title = "Is Agent-Based Simulation a Valid Tool for Studying the Impact of Nature-Based Solutions on Local Economy? A Case Study of Four European Cities",
volume = "13",
number = "13",
pages = "7466",
doi = "10.3390/su13137466"
}
Koppelaar, R., Marvuglia, A., Havinga, L., Brajković, J.,& Rugani, B.. (2021). Is Agent-Based Simulation a Valid Tool for Studying the Impact of Nature-Based Solutions on Local Economy? A Case Study of Four European Cities. in Sustainability
MDPI., 13(13), 7466.
https://doi.org/10.3390/su13137466
Koppelaar R, Marvuglia A, Havinga L, Brajković J, Rugani B. Is Agent-Based Simulation a Valid Tool for Studying the Impact of Nature-Based Solutions on Local Economy? A Case Study of Four European Cities. in Sustainability. 2021;13(13):7466.
doi:10.3390/su13137466 .
Koppelaar, Rembrandt, Marvuglia, Antonino, Havinga, Lisanne, Brajković, Jelena, Rugani, Benedetto, "Is Agent-Based Simulation a Valid Tool for Studying the Impact of Nature-Based Solutions on Local Economy? A Case Study of Four European Cities" in Sustainability, 13, no. 13 (2021):7466,
https://doi.org/10.3390/su13137466 . .

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