A review of planning and operational models used for emergency evacuation situations in Australia

Abstract Thos paper focuses on planning and modelling bush fire-related evacuation, which is perhaps the most difficult disaster situation faced in Australia. It includes a discussion of the available data and the current Australian methods for analysis and planning. The paper concludes with a specification of the needs for models related to advance planning for potential emergencies (largely for bush fires) and for operational models for tactical application in dealing with emergencies, either in simulation exercises or in real circumstances. This includes the identification of critical locations in road networks. There has been some research on the development of a dynamic stated choice procedure for evacuation decision making under bush fire events, but much more research is required. The stated choice procedure could include visualisation to enhance the presentation of alternate scenarios.

[1]  A E Radwan,et al.  COMPUTER SIMULATION MODEL FOR RURAL NETWORK EVACUATION UNDER NATURAL DISASTERS , 1985 .

[2]  John M. Rose,et al.  DYNAMIC TRAVEL DEMAND FOR EMERGENCY EVACUATION: THE CASE OF BUSHFIRES , 2004 .

[3]  Pamela J. Jakes,et al.  Alternatives to Evacuation— Protecting Public Safety during Wildland Fire , 2008 .

[4]  Michael A. P. Taylor,et al.  Critical Transport Infrastructure in Urban Areas: Impacts of Traffic Incidents Assessed Using Accessibility-Based Network Vulnerability Analysis , 2008 .

[5]  M. Waschka,et al.  National Climate Change Adaptation Research Facility (NCCARF) Secretariat , 2010 .

[6]  Richard L. Church,et al.  Mapping evacuation risk on transportation networks using a spatial optimization model , 2000 .

[7]  Robert P. Berrens,et al.  Investigating intended evacuation from wildfires in the wildland–urban interface: Application of a bivariate probit model , 2008 .

[8]  Jungyul Sohn,et al.  Evaluating the significance of highway network links under the flood damage: An accessibility approach , 2006 .

[9]  G. Chilà,et al.  Safety Of Users In Road Evacuation:RP Vs. SP Surveys In Demand Analysis , 2008 .

[10]  Michael A. P. Taylor,et al.  An accessibility approach in assessing regional road network vulnerability , 2008 .

[11]  Jorge A. Laval.  A Macroscopic Theory of Two-Lane Rural Roads , 2006 .

[12]  Fang Yuan,et al.  Proposed Framework for Simultaneous Optimization of Evacuation Traffic Destination and Route Assignment , 2006 .

[13]  Michael K. Lindell.  EMBLEM2: An empirically based large scale evacuation time estimate model , 2008 .

[14]  Timothy F. Smith,et al.  The Australian Experience , 2011 .

[15]  Serge P. Hoogendoorn.  Unified approach to estimating free speed distributions , 2005 .

[16]  Tom Petersen,et al.  Importance and Exposure in Road Network Vulnerability Analysis , 2006 .

[17]  Kirsi Virrantaus,et al.  A spatio‐temporal population model to support risk assessment and damage analysis for decision‐making , 2007, Int. J. Geogr. Inf. Sci..

[18]  Chester G. Wilmot,et al.  Sequential Logit Dynamic Travel Demand Model for Hurricane Evacuation , 2004 .

[19]  Glen M. D'Este,et al.  Application of Accessibility Based Methods for Vulnerability Analysis of Strategic Road Networks , 2006 .

[20]  Kevin G. Tolhurst,et al.  Phoenix: Development and Application of a Bushfire Risk Management Tool , 2008 .

[21]  Kaan Ozbay,et al.  Evacuation Modelling in the United States: Does the Demand Model Choice Matter? , 2008 .

[22]  Pamela Murray-Tuite.  Perspectives for Network Management in Response to Unplanned Disruptions , 2007 .