Proceedings of the 2017 International Conference on Management Science and Management Innovation (MSMI 2017)

Analyzing Emergency Capacity Shortage in Urban CI Based on Scenario Presuming Method

Authors
Tianchang Liu, Xiangyang Li, Zhaoge Liu
Corresponding Author
Tianchang Liu
Available Online June 2017.
DOI
https://doi.org/10.2991/msmi-17.2017.26How to use a DOI?
Keywords
urban CI; emergency capacity shortage; scenario presuming; complex system
Abstract
CI (Critical infrastructure) is a kind of complex and huge network system, and its operating failure will cause serious impact on national interest. Evaluating emergency capacity from the perspective of capacity shortage helps directly discover the weak links of response system, and improve the effectiveness of capacity evaluation. Under the background of scenario uncertainty, it's hard to predict disaster scenarios in the future. That causes the difficulty of presuming scenarios for capacity shortage analysis. This paper proposes a presuming-based method for analyzing capacity shortage in terms of capacity shortage evaluation and identification. This method solves the scenario uncertainty of capacity shortage analysis by scenario design and reconstruction. Finally, a case study is proposed to explain the rationality and effectiveness of the method.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Cite this article

TY  - CONF
AU  - Tianchang Liu
AU  - Xiangyang Li
AU  - Zhaoge Liu
PY  - 2017/06
DA  - 2017/06
TI  - Analyzing Emergency Capacity Shortage in Urban CI Based on Scenario Presuming Method
BT  - Proceedings of the 2017 International Conference on Management Science and Management Innovation (MSMI 2017)
PB  - Atlantis Press
SP  - 110
EP  - 114
SN  - 2352-5428
UR  - https://doi.org/10.2991/msmi-17.2017.26
DO  - https://doi.org/10.2991/msmi-17.2017.26
ID  - Liu2017/06
ER  -