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Understanding Resilient Urban Futures: A Systemic Modelling Approach

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dc.contributor.author Zhao, Pengjun
dc.contributor.author Chapman, Ralph
dc.contributor.author Randal, Edward
dc.contributor.author Howden-Chapman, Philippa
dc.date.accessioned 2013-08-26T18:01:37Z
dc.date.available 2013-08-26T18:01:37Z
dc.date.issued 2013 en_US
dc.identifier.uri https://hdl.handle.net/10535/9105
dc.description.abstract "The resilience of cities in response to natural disasters and long-term climate change has emerged as a focus of academic and policy attention. In particular, how to understand the interconnectedness of urban and natural systems is a key issue. This paper introduces an urban model that can be used to evaluate city resilience outcomes under different policy scenarios. The model is the Wellington Integrated Land Use-Transport-Environment Model (WILUTE). It considers the city (i.e., Wellington) as a complex system characterized by interactions between a variety of internal urban processes (social, economic and physical) and the natural environment. It is focused on exploring the dynamic relations between human activities (the geographic distribution of housing and employment, infrastructure layout, traffic flows and energy consumption), environmental effects (carbon emissions, influences on local natural and ecological systems) and potential natural disasters (e.g., inundation due to sea level rise and storm events) faced under different policy scenarios. The model gives insights that are potentially useful for policy to enhance the city’s resilience, by modelling outcomes, such as the potential for reduction in transportation energy use, and changes in the vulnerability of the city’s housing stock and transport system to sea level rise." en_US
dc.language English en_US
dc.subject climate change en_US
dc.subject cities and towns en_US
dc.subject resilience en_US
dc.subject systems en_US
dc.title Understanding Resilient Urban Futures: A Systemic Modelling Approach en_US
dc.type Journal Article en_US
dc.type.published published en_US
dc.type.methodology Modeling en_US
dc.subject.sector Global Commons en_US
dc.identifier.citationjournal Sustainability en_US
dc.identifier.citationvolume 5 en_US
dc.identifier.citationpages 3202-3223 en_US
dc.identifier.citationnumber 7 en_US
dc.identifier.citationmonth July en_US

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