Human behaviour and evacuation time for large underground comprehensive buildings during fire risk process |
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Institution: | 1. Xi’ an University of Science and Technology, 58, Yanta Mid. Rd., Xi''an, Shaanxi, 710054, PR China;2. School of Safety Science and Engineering, Xi''an University of Science and Technology (XUST), Xi''an, 710054, PR China;1. State Key Laboratory of Fire Science, University of Science and Technology of China, Hefei 230027, China;2. Department of Engineering Mathematics, University of Bristol, BS8 1YB Bristol, UK;1. RMIT University, School of Aerospace, Mechanical and Manufacturing Engineering, Carlton, Victoria 3053, Australia;2. Southeast University, Jiangsu Key Laboratory of Urban ITS, Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, 2 Sipailou, Nanjing, Jiangsu 210096, China;1. School of Electromechanical Engineering, Guangdong University of Technology, Guangzhou, 510006, China;2. Faculty of Technology, Policy and Management, Safety and Security Science Group (S3G), TU Delft, 2628 BX, Delft, the Netherlands;3. Faculty of Applied Economics, Antwerp Research Group on Safety and Security (ARGoSS), Universiteit Antwerpen, 2000, Antwerp, Belgium;4. CEDON, KULeuven, 1000, Brussels, Belgium;1. Department of Fire Protection Engineering, School of Civil Engineering, Central South University, Changsha, Hunan 410075, China;2. Central South University, National Engineering Research Center of High-speed Railway Construction Technology, Changsha, Hunan 410075, China;3. Key Laboratory of Traffic Safety on Track, Ministry of Education, School of Traffic & Transportation Engineering, Central South University, Changsha, Hunan 410075, China;4. Joint International Research Laboratory of Key Technology for Rail Traffic Safety, School of Traffic & Transportation Engineering, Central South University, Changsha, Hunan 410075, China;5. National & Local Joint Engineering Research Center of Safety Technology for Rail Vehicle, School of Traffic & Transportation Engineering, Central South University, Changsha, Hunan 410075, China;6. Key Laboratory of Urban Underground Fire Protection of Jiangsu Province, China University of Mining and Technology, Xuzhou, Jiangsu 221116, China |
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Abstract: | Human factors play an indispensable role in process safety during fire risk process. Fire evacuation of underground comprehensive buildings is a critical consideration for practical importance. Here, evacuation experiments were conducted in the Guangzhou East Railway Station Plaza, a large underground comprehensive building in Guangdong, China, with the plaza occupants as the participants. The evacuation factors, namely evacuation time and evacuee-selected evacuation routes, were evaluated using empirical equations (the Togawa model and the Melinek and Booth model) and evacuation modelling software (EVACNET 4 and composite occupant evacuation model). The experimental data were used to verify the empirical equations and evacuation models and to modify specific empirical parameters. The effect on escape route judgement and selection under emergency situations was analysed. The results demonstrated that direct access to outdoor exits could considerably reduce evacuation time. The experimental N and ts were 1 person/m·s and 28 s, respectively. The total evacuation time was 281 s, and the EVACNET 4 and composite models’ simulations of safe evacuation were 285–290 s, which was consistent with the experimental data—validating the high accuracy and applicability of the models. |
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Keywords: | Underground comprehensive buildings Fire evacuation Evacuation experiments Empirical equations Evacuation plans |
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