Location

Hilton Waikoloa Village, Hawaii

Event Website

http://hicss.hawaii.edu/

Start Date

1-3-2018

End Date

1-6-2018

Description

City resilience is a pressing issue for city stakeholders, as disasters frequently occur while citizens are often not prepared for unexpected events. The Smart Mature Resilience project has developed a Resilience Maturity road-map for cities to achieve a higher mature level of resilience. This road-map is a basis for tackling two System Dynamics modeling challenges: How to design a model that allows users to perceive the importance of adopting policies that are in line with the sequence in the road-map? And how to design a model that shows the consequences of policy adoption in terms of budget and the resilience improvement reflected by the resilience indicators? The paper analyzes and compares two alternative structures for exploring resilience policies to be used by city stakeholders. Our focus is on exploring the behavior of the model and selecting a policy structure that is realistic and likely to generate a useful learning experience.

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Jan 3rd, 12:00 AM Jan 6th, 12:00 AM

A Conceptual System Dynamics Maturity Model of City Resilience

Hilton Waikoloa Village, Hawaii

City resilience is a pressing issue for city stakeholders, as disasters frequently occur while citizens are often not prepared for unexpected events. The Smart Mature Resilience project has developed a Resilience Maturity road-map for cities to achieve a higher mature level of resilience. This road-map is a basis for tackling two System Dynamics modeling challenges: How to design a model that allows users to perceive the importance of adopting policies that are in line with the sequence in the road-map? And how to design a model that shows the consequences of policy adoption in terms of budget and the resilience improvement reflected by the resilience indicators? The paper analyzes and compares two alternative structures for exploring resilience policies to be used by city stakeholders. Our focus is on exploring the behavior of the model and selecting a policy structure that is realistic and likely to generate a useful learning experience.

https://aisel.aisnet.org/hicss-51/eg/disaster_resilience/2