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Author Irmana Sampedro; Matthew Hughes
Title Underground Infrastructure and EQ events: how an advanced condition assessment and data collection process will assist in the planning for and recovery from an EQ event Type Conference Article
Year 2018 Publication (up) Proceedings of ISCRAM Asia Pacific 2018: Innovating for Resilience – 1st International Conference on Information Systems for Crisis Response and Management Asia Pacific. Abbreviated Journal Iscram Ap 2018
Volume Issue Pages 254-262
Keywords Condition Assessment, Emergency Management, Data Collection, GIS, Earthquake
Abstract Is your organisation ready to cope with underground infrastructure condition assessment data collected after an earthquake? Drawing on lessons from the 2010-2011 Canterbury and 2016 Kaikoura earthquakes, we provide guidance on how to make small differences in how your organisation currently collects and stores the necessary condition data to prepare for emergencies, especially for small- and medium-size councils without sophisticated asset management systems. Key questions to address include: Are you receiving condition assessment data in electronic format? Are your contractors providing XY coordinates when repairs are undertaken, or when providing photographs as part of visual assessment? Do you have an asset management system able to prioritise critically damaged underground infrastructure? Do you have easy access to your current network condition for insurance purposes? Simple business-as-usual improvements will provide enhanced preparedness and resilience capability in the event of an earthquake. In addition, we provide a framework for future data collection processes.
Address Christchurch City Council; University of Canterbury
Corporate Author Thesis
Publisher Massey Univeristy Place of Publication Albany, Auckland, New Zealand Editor Kristin Stock; Deborah Bunker
Language English Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium
Track Geospatial and temporal information capture, management, and analytics in support of Disaster Decision Making Expedition Conference
Notes Approved no
Call Number Serial 1667
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