Urban-Level Data Interoperability for Management of Building and Civil Infrastructure Systems during the Disaster Phases Using Model View Definitions
Publication: Journal of Computing in Civil Engineering
Volume 37, Issue 1
Abstract
An urgent problem that cities currently encounter is the occurrence of disasters that often lead to loss of life, destruction, and economic loss. Various domains and administrations are involved in disaster management; however, each stakeholder may have its own data format, and this variability across formats impedes the easy and rapid exchange of information across domains and administrations throughout the phases of a disaster. The variety of formats causes critical problems in disaster risk analyses and decision making; therefore, data interoperability is required to address this heterogeneity and lack of a standard system for data transfer among disaster management applications. Model view definitions (MVDs) are tools that facilitate the exchange of data, but at the urban level, creating new MVDs is challenging due to the variety of stakeholders and complexities in infrastructure systems. This study proposes a framework that enables rapid creation of different model views for urban-level disaster management by (1) identifying the required data from disaster management software applications; and (2) reusing the components of the existing MVDs. Reusing existing MVDs is performed through the calculation process of a concept conformity that identifies the most compatible concepts to be reused for the MVD development. The framework was applied to two different urban use cases. The outcomes showed that the method robustly supports creating new exchange models for different disaster scenarios.
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Data Availability Statement
The source files and data collected and generated for this research are XML-based MVD library, and the query codes written in XQuery language. All data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.
Acknowledgments
This publication was made possible by the National Priorities Research Program (NPRP) grant (NPRP 12S-0304-190230) from the Qatar National Research Fund (a member of Qatar Foundation). The statements made herein are solely the responsibility of the authors.
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Published In
Journal of Computing in Civil Engineering
Volume 37 • Issue 1 • January 2023
Copyright
© 2022 American Society of Civil Engineers.
History
Received: Aug 18, 2021
Accepted: May 5, 2022
Published online: Oct 6, 2022
Published in print: Jan 1, 2023
Discussion open until: Mar 6, 2023
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