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In this research funded by NSFC (50408038), an agentbased simulation model is developed for the human evacuation behaviour determined by a list of so-called architectural clues in the environment. A research method is introduced with an application for one of these clue types called Doorway. A six-variable model and a related set of virtual scenes were constructed and implemented in a Head-CAVE system, in which 102 subjects were tested as in an evacuation game. With the binary logit regression analysis a utility function is estimated indicating how these variables affect human choice on any pair of doorways in a scene. Evidence was found that the distance from the decision point to the doorway is not always the most important factor as it is assumed in the other evacuation models. 1. Introduction As many mega cities in China, Shanghai is entering a period of booming underground space development, Figure 1, in the next 20 years. As the government planned, the subway system will increase from 82 km to more than 400 km by the year 2010, and the daily passengers will increase from 1.3 million to 6 million. With the big step of the underground space development, the security problem on how the public space evacuates people in an emergency is coming to the surface. Building performance research with regard to hazard situations resulted in simulation models of human movements. These models are based on social force methods (e.g. Helbing et al. 2000) and cellular automata methods (e.g. Nishinari et al. 2004). 2

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9781542823654

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