Record |
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 |
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 |
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Issue |
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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 |
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Thesis |
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Publisher |
Massey Univeristy |
Place of Publication |
Albany, Auckland, New Zealand |
Editor |
Kristin Stock; Deborah Bunker |
Language |
English |
Summary Language |
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Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
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ISBN |
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Medium |
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Track |
Geospatial and temporal information capture, management, and analytics in support of Disaster Decision Making |
Expedition |
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Conference |
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Notes |
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Approved |
no |
Call Number |
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Serial |
1667 |
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