TY - GEN
T1 - Heterogeneous data analysis to enhance critical infrastructure network resilience
AU - Hamdan, Bayan
AU - Wang, Pingfeng
N1 - Funding Information:
This research is partially supported by the National Science Foundation through the Faculty Early Career Development (CAREER) award (CMMI-1813111), and the Institute of Sustainability, Energy and Environment (iSEE) at University of Illinois at Urbana-Champaign.
Publisher Copyright:
© Proceedings of the 2020 IISE Annual. All Rights Reserved.
PY - 2020
Y1 - 2020
N2 - Given the vulnerability of networks and systems to disasters, it becomes imperative to ensure the robustness of systems by equipping decision makers with the tools to make the best routing, recovery and reinforcement decisions before, during and after a disaster occurs. Specifically, focus should be placed on critical infrastructure, which refers to any good or service system that allows modern society to function. Critical Infrastructure networks include security networks, IT networks, biological networks and many more. In this study, the focus has been on the transportation networks in the downtown Chicago area with the objective of identifying critical nodes and edges in downtown Chicago that are essential for maintaining the traffic flow in the transportation network. The analysis thus aims to coordinate centrality measures and operational data to give a holistic analysis of the important hubs in the city. Certain edges have been identified as important to the overall network resilience by combining operational and network data.
AB - Given the vulnerability of networks and systems to disasters, it becomes imperative to ensure the robustness of systems by equipping decision makers with the tools to make the best routing, recovery and reinforcement decisions before, during and after a disaster occurs. Specifically, focus should be placed on critical infrastructure, which refers to any good or service system that allows modern society to function. Critical Infrastructure networks include security networks, IT networks, biological networks and many more. In this study, the focus has been on the transportation networks in the downtown Chicago area with the objective of identifying critical nodes and edges in downtown Chicago that are essential for maintaining the traffic flow in the transportation network. The analysis thus aims to coordinate centrality measures and operational data to give a holistic analysis of the important hubs in the city. Certain edges have been identified as important to the overall network resilience by combining operational and network data.
KW - Centrality
KW - Critical infrastructure systems
KW - Heterogeneous data
KW - Network analysis
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M3 - Conference contribution
AN - SCOPUS:85105684482
T3 - Proceedings of the 2020 IISE Annual Conference
SP - 1491
EP - 1496
BT - Proceedings of the 2020 IISE Annual Conference
A2 - Cromarty, L.
A2 - Shirwaiker, R.
A2 - Wang, P.
PB - Institute of Industrial and Systems Engineers, IISE
T2 - 2020 Institute of Industrial and Systems Engineers Annual Conference and Expo, IISE 2020
Y2 - 1 November 2020 through 3 November 2020
ER -