Research on ontology-based construction risk knowledge base development in deep foundation pit excavation

Chen, Yuan; Liang, Bingge; Hu, Hang

doi:10.1080/13467581.2024.2329361

Journal of Asian Architecture and Building Engineering

2024

DOI: 10.1080/13467581.2024.2329361

|View full text |Cite

Research on ontology-based construction risk knowledge base development in deep foundation pit excavation

Yuan Chen,

Bingge Liang,

Hang Hu

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 55 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Holistic Decision-Making for Optimal Siting of Urban Earthquake Emergency Shelters: An Integrated Ontology and Fuzzy-AHP Approach

Li,

Khudhair,

2024

Int. J. Fuzzy Syst.

View full text Add to dashboard Cite

Earthquakes are amongst the most destructive natural hazards, posing substantial risks to urban populations and infrastructure. As cities grow and modernise, identifying optimal locations for Urban Earthquake Emergency Shelters (UEES) becomes key for ensuring public safety. However, this process involves complex, multi-faceted criteria that must be carefully evaluated. This paper introduces a multi-criteria decision-making (MCDM) framework thatffiga integrates ontology with the fuzzy analytic hierarchy process (FAHP) to prioritise potential locations. A key contribution is the use of an ontology to model and interconnect the diverse criteria necessary for UEES site selection, providing a structured perspective that enhances both the theoretical understanding and practical decision-making in urban emergency management. The designed ontology structures and analyses the selection criteria, which are then processed using the FAHP to prioritise potential sites. This framework was validated through a case study in Beijing, where the Shijingshan and Haidian districts were identified as the most suitable locations due to high safety levels, economic benefits, and infrastructure interactions. The results also highlight key challenges in planning and construction across different sites. By combining ontology with FAHP, this framework optimises UEES location selection and supports the digital transformation of urban emergency management systems, offering a holistic, data-driven approach to disaster preparedness.

show abstract

Holistic Decision-Making for Optimal Siting of Urban Earthquake Emergency Shelters: An Integrated Ontology and Fuzzy-AHP Approach

Li,

Khudhair,

2024

Int. J. Fuzzy Syst.

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Research on ontology-based construction risk knowledge base development in deep foundation pit excavation

Cited by 1 publication

References 55 publications

Holistic Decision-Making for Optimal Siting of Urban Earthquake Emergency Shelters: An Integrated Ontology and Fuzzy-AHP Approach

Holistic Decision-Making for Optimal Siting of Urban Earthquake Emergency Shelters: An Integrated Ontology and Fuzzy-AHP Approach

Contact Info

Product

Resources

About