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Benefits from Utilizing A Conceptual Model of Indoor GIS Based Evacuation Information System  

Luo, Wen-Yuan (Candidate, Dept. of Sustainable Architectural Engineering, Hanyang Univ.)
Ahn, Byung-Ju (Dept. of Architectural Engineering.Jeonju Univ.)
Kim, Jae-Jun (Dept. of Sustainable Architectural Engineering, Hanyang Univ.)
Lee, Gwang-Gook (Candidate, Dept. of Electrical & Computer Engineering, Hanyang Univ.)
Kim, Whoi-Yul (Dept. of Electrical and Computer Engineering, Hanyang Univ.)
Publication Information
Korean Journal of Construction Engineering and Management / v.10, no.5, 2009 , pp. 148-157 More about this Journal
Abstract
When an emergency situation happens in buildings, the top priority is to ensure the occupant from danger as soon as possible. Achieving that goal is a multifaceted and difficult task. However, current evacuation systems have many deficiencies in dealing with the emergency in multi-level structures. The shortage of abilities to continuously update database, predict the future situation and provide the information to users with contextual information is the limit in current systems. Thus, it is very crucial to introduce Evacuation Information System (EIS), which is able to respond quickly to the emergency, and transfer the information to both the administrator and the occupant. The main purpose of this paper is to build EIS on the basis of the indoor Geographical Information System (GIS). When the emergency happens, EIS gives the instruction to Emergency Response Model (ERM) at once. ERM carries out the order and calculates the optimal evacuation routes, then sends the result to EIS. At last, EIS transmits evacuation messages to the occupant who implements evacuation plan. This paper highlights the benefits of EIS in two aspects. One is that EIS can update the data continuously to support evacuation strategy-making. The other is that it can transmit evacuation messages to both the administrator and the occupant.
Keywords
Indoor GIS; Evacuation Information System; Emergency Response Model; Spatial Information Control;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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1 Anh, B. J. Yoon, J. Y. and Kim, J. J. (2008). "Suggesting a concept of 3D spatial event information control system for visitor how control in multi complex building." Korea Institute of Construction Engineering and Management, 9(2), pp. 125-135   과학기술학회마을   ScienceOn
2 Chalmet, L. G. Francis, R. L. and Saunders, P. B. (1982). "Network models for building evacuation." Management Science, 28(1), pp. 86-105   DOI   ScienceOn
3 Chen, L. C. and Elise, M. H. (2008). "The building evacuation problem with shared information." Wiley Periodicals, Inc., 55(4), pp. 363-376   DOI   ScienceOn
4 Kamiyama, N. Katoh, N. and Takizawa, A. (2006). "An efficient algorithm for evacuation problem in dynamic network flows with unilbrm arc capacity." IEICE Transactions on Information and Systems, E89-D(8), pp. 2372~2379   DOI   ScienceOn
5 Lee, J. Y. (2005). "3D GIS in support of disaster management in urban areas." Department of Geography and Earth Sciences, The University of North Carolina at Charlotte, Free Press
6 Yu, Y. Z., Ferencz, A. and Malik, J. (2001). "Extracting objects from range and radiance images." Transactions on Visulaizationn and Computer Graphics, 7(4), pp. 351-364   DOI   ScienceOn
7 Shen, T. H. (2004). "ESM: a building evacuation simulation model." Building and Environment, pp. 671-680   DOI   ScienceOn
8 Richard, L. Church, and Thomas, J. C. (2000). "Mapping evacuationn risk on transportation networks using a spatial optimization model." Transporation Research, 1(C), pp. 321~336   DOI   ScienceOn
9 Pu, S. and Ziatanova, S. (2005). "Evacuation route calculation of inner buildings." Geo-information for disaster management. Springer Verlag, pp. 1143-1161
10 Mamada, S. Makino, K. Takabatake, T. and Fujishige. S. (2003). "The evacuation problem, dynamic network flows, and algorithms." SICE Annual Conference in Fukui, pp. 2807-2811
11 Nevado, M. M. Garcia-Bermejo, J. G. and Casanova, E. Z. (2004), "Obtaining 3D models of indoor environments with a mobile robot by estimating local surface directions." Elsevier B.V., Robotics and Autonomous Systems, 48, pp. 131-143   DOI   ScienceOn
12 Lee, J. Y. (2007). "A three-Dimensional navigable data model to support emergency response in microspatial built-environments." Annals of the Association of American Geographers, 97(3), pp. 512-529   DOI   ScienceOn
13 Jarvis, J. and Ratliff, H. (1982). "Some equivalent objectives for dynamic network flow problems." Management Science, 28(1), pp. 106-109   DOI   ScienceOn
14 Kwan, M. P. and Lee, J. Y. (2005). "Emergency response after 9/11: the potential of real-time 3D GIS for quick emergency response in micro-spatial environments." Computers, Environment and Urban Systems, 29, pp. 93-113   DOI   ScienceOn
15 Yoon, J. Y., Ahn, B. J. and Kim, J. J. (2007). "A system concept for 3D human flow management based on 3D spatial information." Journal of Asian Architecture and Building Engineering, 1(1), pp. 111-116   DOI   ScienceOn
16 O'Connor, A. Zerger, A. and Itami, B. (2005). "Geo-temporal tracking and analysis of tourist movement." Mathematics and Computers in Simulation, 69, pp. 135-150   DOI   ScienceOn