Urban Infrastructure Network Resilience

TSL has been developing a resilience assessment framework for interdependent urban infrastructure networks, with an initial focus on urban rail networks and their dependencies upon power and communication networks. This research is led by TSL researcher Nils Goldbeck and is featured in a recent publication with the journal of Reliability Engineering & System Safety.

Our research was inspired by an observation that there exists an increasing degree of interdependency among civil infrastructure systems, which has the potential to exacerbate the impacts of disruptive events through cascading failures, hindered asset repairs and network congestion.

Framework overview

Current modelling techniques fall short of fully capturing such effects. To address this gap, we developed an integrated, dynamic modelling framework that combines network and asset representations of infrastructure systems. A scenario tree generation algorithm is used to capture the stochastic nature of asset failures.

This framework can be used to determine an optimal response strategy to disruptions, consisting of a redistribution of network flows and the optimal deployment of repair resources. Our paper includes a case study focusing on the threat of flooding to London’s metro and electric power networks.

Impact analysis

Project Details


Panagiotis Angeloudis   Supervisor
Washington Ochieng   Co-supervisor
Nils Goldbeck   Lead Researcher
Hao Ye   GIS Specialist
Ali Niknejad   Research Software Engineer
Jingwei Zhang   UG Researcher


Related Publications

(2020). Optimal supply chain resilience with consideration of failure propagation and repair logistics. Transportation Research Part E: Logistics and Transportation Review. DOI
(2020). Resilience assessment for interdependent urban infrastructure systems using dynamic network flow models. Reliability Engineering and System Safety. DOI

Related Talks

(2018). Analysing the effects of interdependency on the resilience of urban transport systems, A dynamic network flow approach. 7th International Symposium on Transport Network Reliability.
(2018). A flow-based resilience assessment method for interdependent urban infrastructure networks. International Conference on Infrastructure Resilience.
(2017). Modelling the Dynamics of Asset Operability and Network Flows in Interdependent Infrastructure Systems after Disruptive Events. International Conference on Dynamics of Disasters.
(2017). A dynamic network flow model for interdependent infrastructure and supply chain networks with uncertain asset operability. Lecture Notes in Computer Science. DOI
(2016). Joint Vulnerability Analysis of Urban Rail Transit and Utility Networks. Transportation Research Board 95th Annual Meeting. PDF
(2016). Analysing the resilience of metro systems under consideration of interdependencies. 4th World Conference on Transport Research (WCTR).