Analyzing the effects of awareness in the city resilience building process
Iturriza, M.(*), Sarriegi, J.M., Labaka, L.
University of Navarra, TECNUN, School of Engineering, San Sebastian, Spain
(*) miturriza@tecnun.es
Keywords: System dynamics, city resilience, awareness, crisis impact.
Funding source: the authors would like to thanks the Smart Mature Resilience search project funded by the
European Union’s Horizon 2020 research and innovation programme under the grant agreement
no.653569 and Eusko Jaurlaritza for funding this search.
Extended abstract
Crises have globally increased their frequency and intensity due to factors such as climate change, social
dynamics or scarcity of basic resources (UNISDR & WMO 2012)(O’Sullivan et al. 2013)(Ludin & Arbon 2017).
Disasters, as the earthquake in Japan in 2016, the terrorist attack in Europe in 2017, the fires in Portugal in
2017 or Spain’s 2015 floods confirm cities need to be more prepared for similar future events. Taking into
account that population’s tendency is to move to urban areas, cities are growing exponentially and
consequently the risks they are facing increase significantly too (United Nations 2016). In this context, the
concept of city resilience has emerged in the last decade related to both natural and man-made crises
(Otto-Zimmermann 2011)(World Bank 2011)(Béné et al. 2018). Thus, building city resilience is a priority,
not only because of the need to get prepared to face future crises, but also to build robust and sustainable
cities (Jabareen 2013). However, the city resilience building process is a complex and long process (Gimenez
et al. 2016). The majority of the frameworks available in the literature state that in order to ensure the
effectiveness and quality of the city resilience building process, citizens’ awareness is required (Hernantes
et al. 2011)(Abegaz & Wims 2015)(Torabi et al. 2018). In this paper awareness is defined as “The process
of informing the general population, increasing levels of consciousness about risks and how people can act
to reduce their exposure to hazards” (UNISDR 2009). Awareness is a much quoted concept in the area of
information security and lately in the area of climate change (Bakaki & Bernauer 2017). But even if its
relevance has increased, awareness is still understudied, with few studies available (Bodoque et al.
2016)(Hernantes et al. 2011)(Puhakainen 2006).
This paper presents a simple system dynamics model that studies the relationships and behavior of
awareness and the resilience level of a city. To do so, the used hypothesis to develop the model is the
following: Improving awareness will positively affect the implementation of new policies since crises
managers will be more aware of the risks and vulnerabilities around the city. Therefore, this will increase
the resilience level of the city, which consequently will also improve the ability to anticipate and recover
from a crisis occurrence (Marafia et al. 2015).
The defined model is based on the literature and the findings obtained in the European SMR project and it
relates the variables of awareness, city resilience and crisis impact as shown in Figure 1.
Reactive awareness: refers to the awareness caused by the impact of a crisis.
Proactive awareness: refers to the awareness achieved through investments and as a
consequence of the city resilience level.
Preventive resilience: refers to the ability of the city to face a crisis before its occurrence.
Corrective resilience: the ability of the city to face a crisis after its occurrence.
Figure 1 Variables, relationships and loops of the model
Through the simulation of the model two scenarios have been studied: one triggering event and two
triggering events. After analyzing the results, the obtained 7 main conclusions are the following:
6.
Awareness amplifies the level of both prevention and correction resilience
Having a high city resilience level reduces the recovery time after a crisis
Investing on city resilience without investing on awareness is neither efficient and effective
The impact of a crisis increases the reactive awareness as citizens realize the hazards around them
Once the impact of a crisis disappears the awareness also disappears if no investment is done
Awareness needs to be maintained over time in order to be able to face more than one crisis over
time in an efficient and effective
7.
Investing in resilience prevention causes higher need of resilience correction which needs higher
period of recovery times.
Bibliography
Abegaz, D.M. & Wims, P., 2015. Extension Agents’ Awareness of Climate Change in Ethiopia. Journal of
Agricultural Education and Extension, 21(5), pp.479-495.
Bakaki, Z. & Bernauer, T., 2017. Do global climate summits influence public awareness and policy
preferences concerning climate change? Environmental Politics, 26(1), pp.1-26. Available at:
http://dx.doi.org/10.1080/09644016.2016.1244964.
Béné, C. et al., 2018. Resilience as a policy narrative: potentials and limits in the context of urban planning.
Climate and Development, 10(2), pp.116-133. Available at:
http://dx.doi.org/10.1080/17565529.2017.1301868.
Bodoque, J.M. et al., 2016. Improvement of resilience of urban areas by integrating social perception in
flash-flood risk management. Journal of Hydrology, 541, pp.665-676. Available at:
http://dx.doi.org/10.1016/j.jnydrol.2016.02.005.
Gimenez, R., Hernantes, J. & Labaka, L., 2016. Technological Forecasting & Social Change A maturity model
for the involvement of stakeholders in the city resilience building process. Technological Forecasting
& Social Change. Available at: http://dx.doi.org/10.1016/j.techfore.2016.08.001
Hernantes, J. et al., 2011. Collaborative M odeling of A wareness in Critical Infrastructure Protection
University of Chicago. , pp.1-10
Jabareen, Y., 2013. Planning the resilient city: Concepts and strategies for coping with climate change and
environmental risk. Cities, 31, pp.220-229.
Ludin, S.M. & Arbon, P.A., 2017. Improving community disaster resilience through scorecard self-testing.
Disaster Prevention and Management: An International Journal, 26(1), pp.13-27. Available at:
http://www.emeraldinsight.com/doi/10.1108/DPM-08-2016-0177.
Marafia, P., Labaka, L. & Sarriegi, J.M., 2015. Crisis balanced scorecard: A useful tool to anticipate
unexpected crises,
O'Sullivan, T.L. et al., 2013. Unraveling the complexities of disaster management: A framework for critical
social infrastructure to promote population health and resilience. Social Science and Medicine, 93,
pp.238-246.
Otto-Zimmermann, K., 2011. Resilient Cities: Cities and Adaptation to Climate Change-Proceedings of the
Global Forum 2010, Available at: http://espace.library.curtin.edu.au/cgi-
bin/espace.pdf?file=/2011/11/16/file_1/159971%5Cnhttp://books.google.com/books?hl=en&lr=&i
d=0zXxfAePW-
gC&oi=fnd&pg=PRS&dq=Resilient+Cities:+Cities+tand-+Adaptation+to+Climate+Change-
Proceedings+of+the+Global+Forum+201.
Puhakainen, P., 2006. A design theory for information security awareness, Available at:
http://en.scientificcommons.org/13922630
Torabi, E., Dedekorkut-Howes, A. & Howes, M., 2018. Adapting or maladapting: Building resilience to
climate-related disasters in coastal cities. Cities, 72(September 2017), pp.295-309. Available at:
https://doi.org/10.1016/j.cities.2017.09.008.
UNISDR, 2009. 2009 UNISDR Terminology on Disaster Risk Reduction. International Stratergy for Disaster
Reduction (ISDR), pp.1-30. Available at: www.unisdr.org/publications.
UNISDR & WMO, 2012. Disaster Risk And Resilience, Thematic Think Piece of UN System Task Team on the
Post-2015 UN Development Agenda, Available at:
http://www.un.org/en/development/desa/policy/untaskteam_undf/thinkpieces/3_disaster_risk_re
silience.pdf.
United Nations, 2016. The World’s Cities in 2016: Data Booklet., Available at:
http://www.un.org/en/development/desa/population/publications/pdf/urbanization/the_worlds_ci
ties_in_2016_data_booklet.pdf.
World Bank, 2011. Climate Change, Disaster Risk, and the Urban Poor.