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Author:

Hu, H. (Hu, H..) | Yang, X.K. (Yang, X.K..) | Liu, X.M. (Liu, X.M..) (Scholars:刘小明)

Indexed by:

EI Scopus

Abstract:

The 2008 Olympic Games will induce enormous transportation demands to the road net, especially the streets adjacent to the Beijing Olympic Park. In order to minimize losses of life and property, emergency evacuation will be the necessary respond measure once a critical emergency occurs. According to transportation demand data predicted for Beijing 2008 Olympic Games and field survey for the road network data, this paper presents the Olympic Emergency Evacuation Plan(EEP) for Olympic Peak Days. The paper also presents the arithmetic for the evacuating shelter's capacity and calculates the evacuation time. In addition, the paper describes the ninth Olympics day when the OREM traffic emergency simulation program will be used to model the EEP. The results include evacuation time with varied proportions of traffic, likely congested or delayed sections, number of evacuation vehicles, and evacuation travel time. The simulation result shows that the EEP is rational and feasible. The research is to provide a technical support for the emergency management and help planers to make improvement for the Olympic transportation systems. Copyright ASCE 2007.

Keyword:

Computer simulation Roads and streets Emergency traffic control Data acquisition

Author Community:

  • [ 1 ] [Hu, H.]Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing 100022, China
  • [ 2 ] [Yang, X.K.]Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing 100022, China
  • [ 3 ] [Liu, X.M.]Beijing Municipal Committee of Communications, Beijing 100013, China

Reprint Author's Address:

  • [hu, h.]key laboratory of traffic engineering, beijing university of technology, beijing 100022, china

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Source :

Year: 2007

Page: 673-679

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 5

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