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We present a method for systematically identifying neighbourhoods that may face transportation diYculties during an evacuation. A classi® cation of this nature oVers a unique approach to assessing community vulnerability in regions subject to fast-moving hazards of uncertain spatial impact (e.g., urban ® restorms and toxic spills on highways). The approach(More)
This article maybe used for research, teaching and private study purposes. Any substantial or systematic reproduction, redistribution , reselling , loan or sub-licensing, systematic supply or distribution in any form to anyone is expressly forbidden. The publisher does not give any warranty express or implied or make any representation that the contents(More)
In the last ten years, field and object models have emerged as two opposing approaches for conceptualizing and modeling geographic phenomena. In the context of a field perspective, each point in space is mapped to a value selected from an attribute domain. In this way, geographic space is perceived as 'full', as every location is occupied by a value. In the(More)
Warning communities in the path of an advancing wildfire is a challenging problem. Decision makers need the most current information available to determine who should evacuate, when they should leave and what type of order to issue (e.g. mandatory, recommended, voluntary). This paper presents a new method for delimiting wildfire evacuation trigger points(More)
This article may be used for research, teaching, and private study purposes. Any substantial or systematic reproduction, redistribution, reselling, loan, sub-licensing, systematic supply, or distribution in any form to anyone is expressly forbidden. The publisher does not give any warranty express or implied or make any representation that the contents will(More)
Data concerning dynamic geographic processes are commonly captured and stored as discrete temporal snapshots. Snapshot data often requires interpolation to compensate for large data collection intervals. Metamorphosis (morphing or tweening) is the study of how an object changes over time. Tweening was developed with basic transformations in mind rather than(More)
The Social Vulnerability Index (SoVI) has served the hazards community well for more than a decade. Using Utah as a test case, a state with a population exposed to a variety of hazards, this study sought to build upon the SoVI approach by augmenting it with a non-linear Artificial Neural Network (ANN). A SoVI was created for the state of Utah at the census(More)
Wildfire evacuation triggers are prominent geographic features used in wildfire evacuation practices to facilitate warning and communication during evacuations. When a fire crosses these features, emergency managers issue evacuation orders for the residents in the path of the fire. Computerized modeling of triggers uses geographic information systems (GIS)(More)
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