The impact of urban form on disaster resiliency: A case study of Brisbane and Ipswich, Australia

Irajifar, L; Sipe, N and Alizadeh, T (2016) The impact of urban form on disaster resiliency: A case study of Brisbane and Ipswich, Australia. International Journal of Disaster Resilience in the Built Environment, 7(3), pp. 259-275. ISSN 1759-5916

Abstract

Purpose: This paper examines the impact of urban form on disaster resiliency. The literature shows a complex relationship between urban form factors such as density and diversity and disaster recovery. The empirical analysis in this paper tests the impact of land use mix, population density, building type and diversity on the reconstruction progress in three, six and nine months after the 2010 flood in Brisbane and Ipswich as proxies of disaster resilience. Considerable debate exists on whether urban form factors are the causal incentive or are they mediating other non-urban form causal factors such as income level. In view of this, the effects of a series of established non-urban form factors such as income and tenure, already known as effective factors on disaster resilience, are controlled in the analysis. Design/methodology/approach: The structure of this paper is based on a two-phase research approach. In the first phase, for identification of hypothetical relationships between urban form and disaster resiliency, information was gathered from different sources on the basis of theory and past research findings. Then in phase two, a database was developed to test these hypothetical relationships, employing statistical techniques (including multivariate regression and correlation analysis) in which disaster recovery was compared among 76 suburbs of Brisbane and Ipswich with differing levels of population density and land use mix. Findings: The results indicate that population density is positively related to disaster resilience, even when controlling for contextual variables such as income level and home ownership. The association between population density and disaster reconstruction is non-linear. The progress of reconstruction to population density ratio increases from low, medium to high densities, while in very low and very high density areas the reconstruction progress does not show the same behavior, which suggests that medium-high density is the most resilient. Originality/value: The originality of this paper is in extracting hypothetical relationships between urban form and resiliency and testing them with real world data. The results confirmed the contribution of density to recovery process in this case study. This illustrates the importance of attention to disaster resiliency measures from the early stages of design and planning in development of resilient urban communities.

Item Type: Article
Uncontrolled Keywords: brisbane and ipswich; built environment; density; disaster resiliency; reconstruction; urban form
Index terms: testing, tenure, income, urban form, Brisbane, built environment, Ipswich, ownership, correlation analysis, disaster resiliency, Australia, database, density, reconstruction, recovery, case study, population, methodology, disaster recovery, disaster resilience, urban community, land use
Subjects: infrastructure and transport systems, statistical analysis, data management, demography, emergency and crisis management, building construction, Geography, economics, urban form and morphology, research methods, professional practice, economic analysis, analytical methods, real estate economics, operations management, climate science, community and social dimensions, data collection methods
Topics: Stakeholder Management, Sustainability, Business Strategy, Engineering Principles, Research Practice, Project Management, Geographical Context, Organizational Design, Urban Studies, Digital Applications
Descriptive scope: 5 PCTEA

N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here