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City infrastructure ontologies

  • Heshan Du
  • , Lijun Wei
  • , Vania Dimitrova
  • , Derek Magee
  • , Barry Clarke
  • , Richard Collins
  • , David Entwisle
  • , Mehran Eskandari Torbaghan
  • , Giulio Curioni
  • , Ross Stirling
  • , Helen Reeves
  • , Anthony G. Cohn

Research output: Journal PublicationArticlepeer-review

20 Citations (Scopus)

Abstract

Sustainable urban infrastructure planning and maintenance require an integrated approach that considers various infrastructure assets (e.g., the ground, roads, and buried pipes) and their inter-linkages as a holistic system. To facilitate the usage of this integrated approach, we propose a model of city infrastructure assets and their interdependencies, providing details on how asset properties and processes affect each other. This model is represented as ontologies in OWL 2 Web Ontology Language Manchester Syntax, which can be read and interpreted by machines automatically. These ontologies cover the classifications, properties and processes of the ground, roads and buried water pipes, as well as some related human activities and natural phenomena (e.g., precipitation). The ontologies not only provide a foundation for integrating various types of infrastructure and environmental data, but also for understanding the potential knock-on effects of asset failures. The ontologies have been utilised in a decision support system for integrated urban inter-asset management.

Original languageEnglish
Article number101991
JournalComputers, Environment and Urban Systems
Volume104
DOIs
Publication statusPublished - Sept 2023

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure
  2. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Free Keywords

  • City infrastructure
  • Integrated inter-asset management
  • Model
  • Ontology

ASJC Scopus subject areas

  • Geography, Planning and Development
  • Ecological Modelling
  • General Environmental Science
  • Urban Studies

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