A Study of Escape Time from an Underground Street in a Mountainous City

A Study of Escape Time from an Underground Street in a Mountainous City

Yin Pan Tiejun Zhou Qin Yan 

Faculty of Architecture and Urban Planning, Chongqing University, China

Vocational College of Chongqing Architectural Engineering, China

Page: 
345-354
|
DOI: 
https://doi.org/10.2495/SAFE-V4-N4-345-354
Received: 
N/A
| |
Accepted: 
N/A
| | Citation

OPEN ACCESS

Abstract: 

Taking the underground street in Three Gorges Plaza in the Shapingba District, Chongqing, as an example, the present study focused on a densely populated underground street downtown in a mountainous city, in which the issue of emergency evacuation in case of fi re was discussed. The total evacuation number could be worked out according to the ‘method of trip generation rate’; the length of escape routes and the width of escape exits were counted, and the maximum capacity of people for each emergency exit was calculated according to the unit capacity. Based on the above data, the escape route was built by the iterative programming algorithm so as to check the safety of the current underground street in the mountainous city, in order that technical support can be provided for effective countermeasures. Thus, the emergency evacuation capability of a downtown underground street in a mountainous city can be enhanced.

Keywords: 

civil air defense projects, escape routes, escape time, mountainous city, underground street.

  References

[1] Zhou, T.J., Yan, Q. & Zuo, J., Analysis of sight and activity of safe escaping in un-derground commercial space – taking Chongqing underground commercial space as example. Disaster Advances, 3(4), pp. 157–162, 2010.

[2] Marciano, F.A. & Vitetta, A., Risk analysis in road safety: an individual risk model for drivers and pedestrians to support decision planning processes, International Journal of Safety and Security Engineering, 1(3), pp. 265–282, 2011. doi: http://dx.doi. org/10.2495/safe-v1-n3-265-282

[3] Russo, F. & Chila, G.,  Integrated travel demand models for evacuations: a bridge between social science and engineering, Safety and Security Engineering, 4(1), pp. 19–37, 

2014. doi: http://dx.doi.org/10.2495/safe-v4-n1-19-37

[4] Zhang, H.W., A Study on Optimum Urban Disaster Evacuation Route by a MADM Approach, Feng Chia University: Taiwan (online), available at http://web.lib.fcu.edu.tw/ library/

[5] Chen, D.L., A Study of Guides on Human Evacuation Behaviors in MRT Underground Stations, National Taipei University of Technology: Taiwan (online), available at http:// library.ntut.edu.tw/fi les/11-1007-2464.php

[6] Liang, W.L., A VR Simulation Study of Choosing Exit in Underground Arcades, Na-tional Taipei University of Technology: Taiwan (online), available at http://pc01.lib. ntust.edu.tw/ETD-db/ETD-search-c/view_etd?URN=etd-0204110-132729

[7] Chen, Z.L., Preliminary discussion of the disaster prevention square in urban under-ground public space. Chinese Journal of Underground Space and Engineering, 2(2), pp. 280–283, 2006. 

[8] Zeng, S., Ma, X.Q. & Liao, Y.F., Analysis of fl ees for life model during a fi re in under-ground business street. Chinese Journal of Underground Space and Engineering, 4(2), pp. 374–379, 2008.

[9] Huang, L.L.,  Theoretical calculation and software simulation on the evacuation time of the occupants in the underground commercial building . Journal of Safety Science and Technology, 8(2), pp. 69–73, 2012.

[10] National Standard Information Sharing Infrastructure, Fire protection design of civil air defense works, GB 50098-2009, Beijing, available at http://www.cssn.net.cn/pagesnew/

search/standard_detail.jsp?hasElec=1&a001=NjA4NjczOA==

[11] Wang, Y.G. & Zhang, C.B., Alternative route strategy for emergency traffi c management based on ITS: a case study of Xi’an Ming City Wall. Tehnicˇki vjesnik – Technical Gazette, 20(2), pp. 359–364, 2014.

[12] Hong, R.R., Design of the safe evacuation in Metro, Urban Rapid Rail Transit, 20(2), pp. 18–21, 2007.

[13] Zhang, X.T., Wang, S.L., Wang, J.J. & Giacomo, R., A simplifi ed model to predict smoke movement in vertical shafts during a high-rise structural fi re. Journal of Engineering Science and Technology Review, 7(2), pp. 29–38, 2014.

[14] Zhou, X.S., Shortest path problem and its solution methods study. Computer Knowledge and Technology, 6(6), pp. 1403–1405, 2010.