Representation of Interdependencies Between Urban Networks by a Multi-Layer Graph (Short Paper)

Laura Pinson, Géraldine Del Mondo, Pierrick Tranouez, Michael Wagner
2019 Conference On Spatial Information Theory  
The RGC4 (Urban resilience and Crisis Management in a Context of Slow Flood to Slow Kinetics) project aims to develop tools to help manage critical technical networks as part of the management process of crisis in a context of slow kinetic flooding in Paris. This project focuses on cascading models to identify a number of inter-dependencies between networks and to define tools capable of coordinating the actions of managers before and during the crisis. This paper revisits the conceptual and
more » ... hodological bases of networks approach to study the inter-dependencies between networks. Research that studies the return to service of infrastructure networks often angle it from the perspective of operational research. The article proposes a graph theory perspective based on a multi-layer network approach and shows how to characterize the inter-dependencies between networks at three process levels (macro, meso, micro) ACM Subject Classification Applied computing → Operations research; Applied computing → Decision analysis Keywords and phrases graph theory, multi-layer network, inter-dependencies, urban networks, urban resilience Digital Object Identifier 10.4230/LIPIcs.COSIT.2019.4 Category Short Paper Acknowledgements This work takes part in the RGC4 project. This project has been funded with the support from ANR (ANR-15-CE39-0015)
doi:10.4230/lipics.cosit.2019.4 dblp:conf/cosit/PinsonMT19 fatcat:x2mut2qjzbaele7doqxkjyvjui