Evacuation modelling: finding the best time (and way) to get going

Reports from the Philippines reveal a lack of typhoon preparation and evacuation efforts.

When to evacuate – and how – spells the difference between life and death. As we know, typhoons can cause widespread flooding of surrounding areas, and don’t just affect what lies in the path of the storm. Planning an evacuation is a game against nature.

Typhoon Haiyan (and similar events around the world) indicate that people do not play this game well … but computers do.

Designing evacuation plans is a critical aspect of disaster preparedness. (source: thepipe26)

Designing evacuation plans is a critical aspect of disaster preparedness. (source: thepipe26)

In collaboration with the Los Alamos National Laboratories and the US Department of Homeland Security, our team of researchers at NICTA has developed algorithms to mitigate the impact of natural disasters. They were, for instance, activated to help in power restoration during recent massive Hurricanes Irene and Sandy.

So can we learn from international disasters, and can we apply that information to the Australian context? The answer is a resounding yes to both.

Our team focuses on planning large-scale evacuations for Australian cities. Its goals are twofold:

  1. to inform policy on what constitutes a good evacuation plan
  2. to demonstrate that computers are game-changers.

Planning an evacuation is an extremely challenging task, with calculating the best procedure akin to finding a needle in a haystack. There is an astronomic number of possible evacuation plans to consider, even for a small city.

Although few plans are safe, the number and complexity of decisions quickly becomes overwhelming – especially as rising water or traffic accidents block roads – but computers can dramatically help emergency services design evacuation plans which people can actually follow.

To be efficient, computer tools must understand congestion and human behaviour. They also need to take into account new information that will become available in real time via river gauges, traffic monitoring or social media.

The video above illustrates the evacuation of 70,000 persons in the Hawkesbury Nepean area. The flood (in blue), rising from the Warragamba dam (at the back) inundates the flood plain. Vehicles (in green) are evacuated following precise evacuation routes and schedules to shelters (green boxes).

In this illustration, emergency services wait as long as possible before giving evacuation orders in order to avoid false alerts.

The Conversation

This article was originally published at The Conversation.
Read the original article.

Further reading: A Conflict-Based Path-Generation Heuristic for Evacuation Planning


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