Generating network representations of small-scale infrastructure using generally available data

Aaron Dunton, Paolo Gardoni

Research output: Contribution to journalArticlepeer-review


Risk analysis (including resilience analysis) of infrastructure requires models that describe the connection of components and subsequent flow dynamics. However, the detailed information needed to define these models may not be available, especially for small-scale infrastructure that connect to every building. In this paper, we generate location-specific small-scale networks using detailed data that should always be available. We propose a general framework where we generate the network topology, we estimate the resource demand at each building, and we design the network components to meet the demands. This general framework is applicable to all types of infrastructure, but many procedures are specific to the type of network being generated. This paper develops the necessary procedures to generate sewer networks and illustrates the usage for an example network in a small study area in Seaside, Oregon. The proposed sewer network generator produces realistic sewer networks as compared to the real network of Seaside.

Original languageEnglish (US)
Pages (from-to)1143-1158
Number of pages16
JournalComputer-Aided Civil and Infrastructure Engineering
Issue number8
StatePublished - Apr 15 2024

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Computer Science Applications
  • Computer Graphics and Computer-Aided Design
  • Computational Theory and Mathematics


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