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 J. Reeves; Anthony G Cohn

doi:10.1016/j.compenvurbsys.2023.101991

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 J. Reeves
, Anthony G Cohn^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

182 Downloads (Pure)

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 language	English
Article number	101991
Number of pages	20
Journal	Computers, Environment and Urban Systems
Volume	104
Early online date	8 Jun 2023
DOIs	https://doi.org/10.1016/j.compenvurbsys.2023.101991
Publication status	Published - Sept 2023

UN SDGs

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

SDG 9 Industry, Innovation, and Infrastructure
SDG 11 Sustainable Cities and Communities

Keywords

City infrastructure
Model
Ontology
Integrated inter-asset management

ASJC Scopus subject areas

Civil and Structural Engineering

Access to Document

10.1016/j.compenvurbsys.2023.101991Licence: Creative Commons: Attribution (CC BY)

DuH2023CityFinal published version, 10.5 MBLicence: Creative Commons: Attribution (CC BY)

Numerically simulating the interconnected nature of the road-soil-pipe infrastructure
Movahedifar, R., Royal, A., Eskandari Torbaghan, M., Metje, N. & Chapman, D., 1 Sept 2024, In: Results in Engineering. 23, 102537.
Research output: Contribution to journal › Article › peer-review

Open Access
File
74 Downloads (Pure)
Assessing the underworld - A three-infrastructure approach to remote sensing
Rogers, C., Chapman, D., Metje, N. & Eskandari Torbaghan, M., 2 Oct 2019.
Research output: Contribution to conference (unpublished) › Paper › peer-review

Assessing the Underworld - An Integrated Performance Model of City Infrastructures
Rogers, C. (Principal Investigator), Atkins, P. (Co-Investigator), Chapman, D. (Co-Investigator), Jefferson, I. (Co-Investigator), Metje, N. (Co-Investigator) & Royal, A. (Co-Investigator)
Engineering & Physical Science Research Council
1/06/13 → 31/05/18
Project: Research Councils

Cite this

@article{6cd8caef52ff4911a342523817460345,

title = "City infrastructure ontologies",

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.",

keywords = "City infrastructure, Model, Ontology, Integrated inter-asset management",

author = "Heshan Du and Lijun Wei and Vania Dimitrova and Derek Magee and Barry Clarke and Richard Collins and David Entwisle and \{Eskandari Torbaghan\}, Mehran and Giulio Curioni and Ross Stirling and Reeves, \{Helen J.\} and Cohn, \{Anthony G\}",

year = "2023",

month = sep,

doi = "10.1016/j.compenvurbsys.2023.101991",

language = "English",

volume = "104",

journal = "Computers, Environment and Urban Systems",

issn = "0198-9715",

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T1 - City infrastructure ontologies

AU - Du, Heshan

AU - Wei, Lijun

AU - Dimitrova, Vania

AU - Magee, Derek

AU - Clarke, Barry

AU - Collins, Richard

AU - Entwisle, David

AU - Eskandari Torbaghan, Mehran

AU - Curioni, Giulio

AU - Stirling, Ross

AU - Reeves, Helen J.

AU - Cohn, Anthony G

PY - 2023/9

Y1 - 2023/9

N2 - 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.

AB - 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.

KW - City infrastructure

KW - Model

KW - Ontology

KW - Integrated inter-asset management

U2 - 10.1016/j.compenvurbsys.2023.101991

DO - 10.1016/j.compenvurbsys.2023.101991

M3 - Article

SN - 0198-9715

VL - 104

JO - Computers, Environment and Urban Systems

JF - Computers, Environment and Urban Systems

M1 - 101991

ER -

City infrastructure ontologies

Abstract

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

Fingerprint

Research output

Numerically simulating the interconnected nature of the road-soil-pipe infrastructure

Assessing the underworld - A three-infrastructure approach to remote sensing

Projects

Assessing the Underworld - An Integrated Performance Model of City Infrastructures

Cite this