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

Authors Laura Pinson, Géraldine Del Mondo, Pierrick Tranouez



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Author Details

Laura Pinson
  • Normandie Univ, INSA Rouen, UNIROUEN, UNIHAVRE, LITIS, 76000 Rouen, France
Géraldine Del Mondo
  • Normandie Univ, INSA Rouen, UNIROUEN, UNIHAVRE, LITIS, 76000 Rouen, France
Pierrick Tranouez
  • Normandie Univ, Univ Rouen, UNIROUEN, UNIHAVRE, LITIS, 76000 Rouen, France

Acknowledgements

This work takes part in the RGC4 project. This project has been funded with the support from ANR (ANR-15-CE39-0015)

Cite AsGet BibTex

Laura Pinson, Géraldine Del Mondo, and Pierrick Tranouez. Representation of Interdependencies Between Urban Networks by a Multi-Layer Graph (Short Paper). In 14th International Conference on Spatial Information Theory (COSIT 2019). Leibniz International Proceedings in Informatics (LIPIcs), Volume 142, pp. 4:1-4:8, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2019)
https://doi.org/10.4230/LIPIcs.COSIT.2019.4

Abstract

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 methodological 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)

Subject Classification

ACM Subject Classification
  • Applied computing → Operations research
  • Applied computing → Decision analysis
Keywords
  • graph theory
  • multi-layer network
  • inter-dependencies
  • urban networks
  • urban resilience

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