Advancing crowdsourced data collection for tsunami hazard and impact information with users

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Harrison, S.E.; Charlton, D.H.; Lawson, R.V.; Potter, S.H.; Clark, K.J.; Houltham, J.; Inglis, S.; Clive, M.A. 2024 Advancing crowdsourced data collection for tsunami hazard and impact information with users. Lower Hutt, N.Z.: GNS Science. GNS Science report 2023/14. 113 p.; doi: 10.21420/XGEV-GJ14

Abstract

Crowdsourcing has been established as a viable method for collecting real-time hazard and impact information, yet it is currently under-utilised. This project aims to progress efforts toward the vision of collecting data to support a more complete understanding of real-time hazard and impacts that are occurring across Aotearoa New Zealand in an inclusive and participatory way. We co-created and tested an online geospatial reporting form for collecting crowdsourced hazard and impact observations for tsunami as a pilot for wider application across the geohazards. This process included investigating what hazard and impact information is most useful to collect for tsunami from a scientific and user-needs perspective, including aligning with international standards. To co-create the reporting form, virtual workshops with tsunami, risk and social science data users (N = 8) were used to identify and prioritise questions to include that would produce useful data for tsunami, risk and social scientists, as well as emergency managers and responders. Previous tsunami observation surveys were used as a foundation for this development process. The user testing involved in-person interviews (N = 9) with members of the public to capture their experiences of completing and submitting a fictional tsunami report and interacting with resulting web-maps. The draft tsunami reporting form was also sent to technical users through New Zealand’s Tsunami Working Group and Geospatial Emergency Management Aotearoa community, along with a feedback questionnaire to collect structured feedback on the design of the survey and perceived value of the resulting data. This project produced good-practise standards for GNS Science to collect real-time crowdsourced hazard and impact information for tsunami. The standard also sets a foundation for translating crowdsourced reporting to other perils, such as volcano, landslides and earthquakes, in future work (auths)