Developing an integrative urban resilience capacity index for plan making

Xin Fu () and Xinhao Wang
Additional contact information
Xin Fu: University of Cincinnati
Xinhao Wang: University of Cincinnati

Environment Systems and Decisions, 2018, vol. 38, issue 3, 367-378

Abstract: Abstract Urban resilience assessment can help planners understand the status of resilience in an urban system and identify needs for improving resilience capacities. The issues related to urban resilience are complex because of multiple urban system components, threats from different sources, and uncertainty of the future. Urban resilience theories have progressed to consider an urban system as an integrated complex system; however, urban resilience assessments are inconsistent and underdeveloped in assessing an integrated urban system for different threats at various uncertainties. In an effort to address this deficiency, we propose to develop an Integrative Urban Resilience Capacity Index (IURCI) for assessing urban resilience capacity for all threats. To improve the quality of urban resilience assessment, the IURCI considers urban physical form, spatial structure, preparation for future, and performance after plan implementation to measure resilience capacities of absorption, mitigation, and adaptation. It is built in a Scenario-Based Planning Support System (SB-PSS). The SB-PSS is a framework and an open system that integrates IURCI with scenario generation, modeling, and assessment to inform the public, planners, and other stakeholders about the consequences of different planning policies and to assist them make decisions for implementing a preferred scenario.

Keywords: Urban resilience; Capacity assessment; Integration; Indicator; Social-ecological system (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://link.springer.com/10.1007/s10669-018-9693-6 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:envsyd:v:38:y:2018:i:3:d:10.1007_s10669-018-9693-6

Ordering information: This journal article can be ordered from
https://www.springer.com/journal/10669

DOI: 10.1007/s10669-018-9693-6

Access Statistics for this article

More articles in Environment Systems and Decisions from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().