A decision support system for urban infrastructure inter-asset management employing domain ontologies and qualitative uncertainty-based reasoning
- Submitting institution
-
The University of Leeds
- Unit of assessment
- 12 - Engineering
- Output identifier
- CIVIL-83
- Type
- D - Journal article
- DOI
-
10.1016/j.eswa.2020.113461
- Title of journal
- Expert Systems with Applications
- Article number
- 113461
- First page
- -
- Volume
- 158
- Issue
- -
- ISSN
- 0957-4174
- Open access status
- Compliant
- Month of publication
- April
- Year of publication
- 2020
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
10
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- A qualitative uncertainty-based reasoning approach was developed in consultation with a broad spectrum of experts to create both the ontologies and reasoning processes needed to tackle the multi-stakeholder approach to maintaining urban infrastructure. Outcome was validated against several case studies to show how decisions could be supported through a qualitative approach. Further funding (EP/R511717/1; Highways Agency, Intelligent highway asset management of thin surface paving) has since shown how the risks associated with utility repair, installation and diversions can be reduced, increasing the certainty of delivery, reducing the impact on society and ensuring all stakeholders benefit from this logical process.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
