Abstract
Real-time Open Data and the ability to create dashboards that aggregate multiple data feeds hold great potential as we adapt and respond to extreme weather events such as cyclones, earthquakes and bushfires. In this chapter, we present a tactical dashboard assembled to provide real-time information to citizens being impacted by extreme weather events. The dashboard is tactical as it is assembled “just in time” for the arrival of Cyclone Debbie, which impacted the East Coast of Australia in 2017. The chapter provides a review of available crisis dashboards, introduces the tactical Cyclone Dashboard (www.cyclonedashboard.com.au), discusses its technical components and provides the results of its preliminary evaluation. We conclude by reflecting on the value of such dashboards for providing real-time information to citizens during natural disasters.
Keywords
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- AJAX:
-
Asynchronous JavaScript and XML
- CAL:
-
City Analytics Lab
- CRED:
-
Centre for Research on the Epidemiology of Disasters
- ETL:
-
Extract, transform and load
- FRWG:
-
Fleet Response Working Group
- LAMP:
-
Linux, Apache, MySQL and PHP
- UI:
-
User Interface
- UNISDR:
-
United Nations International Strategy for Disaster Risk Reduction
- UNSW:
-
University of New South Wales
References
100 Resilient Cities. (2018). Frequently Asked Questions (FAQ) about 100 resilient cities. Retrieved May 29, 2018, from http://www.100resilientcities.org/100RC-FAQ/#/-_/
All Hazards Consortium. (2018). Multi-state fleet response working group. Retrieved May 31, 2018, from http://www.ahcusa.org/fleet-response.html
Atlantic Oceanographic and Meteorological Laboratory. (2014). Frequently Asked Questions. Retrieved May 31, 2018, from http://www.aoml.noaa.gov/hrd/tcfaq/E9.html
Australian Communications and Media Authority. (2017). Communications Report 2016/17.
Bangladesh Meteorological Department. (2007). Numerical simulations of storm surges in the Bay of Bengal. In First JCOMMM Scientific & Technical Symposium: Seoul, Korea, 2–6 October 2007. Retrieved May 31, 2018, from http://tidepool.nos.noaa.gov/pub/outgoing/hurricane/NRAP/Wallace/New_Product_Papers/Numerical%20Simulations%20in%20Bay%20of%20Bengal.pdf
Bureau of Meteorology. (2017a). Tropical cyclone Debbie. Retrieved June 21, 2017, from http://www.bom.gov.au/cyclone/history/debbie17.shtml
Bureau of Meteorology. (2017b). Tropical cyclone Tracy. Retrieved June 21, 2017, from http://www.bom.gov.au/cyclone/history/tracy.shtml
Bureau of Meteorology. (2018). Tropical cyclone Debbie Technical Report. Retrieved May 30, 2018, from http://www.bom.gov.au/cyclone/history/database/Tropical-Cyclone-Debbie-Technical-Report-Final.pdf
Bharosa, N., Janssen, M., Meijer, S., & Brave, F. (2010). Designing and evaluating dashboards for multi-agency crisis preparation: A living lab. In M. A. Wimmer, J. L. Chappelet, M. Janssen, & H. J. Scholl (Eds.), Electronic Government. EGOV 2010 (Lecture Notes in Computer Science, 6228). Berlin, Heidelberg: Springer.
Cutter, S. L., Barnes, L., Berry, M., Burton, C., Evans, E., Tate, E., & Webb, J. (2008). A place-based model for understanding community resilience to natural disasters. Global Environmental Change, 18(4), 598–606.
Crowdmap. (2013). Brisbane city council used Crowdmap (Ushahidi) for the floods in 2013. Retrieved May 17, 2018, from http://crowdmap.com/map/brisbaneweathereventoct2013/
GISCorps. (2009). What we do. Retrieved May 28, 2018, from http://www.giscorps.org/what-we-do/.
Godschalk, D. R. (2003). Urban hazard mitigation: Creating resilient cities. Natural Hazards Review, 4(3), 136–143.
Gray, S., O’Brien, O., & Hügel, S. (2016). Collecting and visualizing real-time urban data through city dashboards. Built Environment, 42(3), 498–509.
Guha-Sapir, D., Vos, F., Below, R., & Ponserre, S. (2012). Annual disaster statistical review 2011: The numbers and trends. Centre for Research on the Epidemiology of Disasters (CRED).
Gutiérrez, M. (2018). Data activism and social change. London: Palgrave Pivot.
Gympie Regional Council. (2017). Gympie Disaster Dashboard. Retrieved October 26, 2017, from http://disaster.gympie.qld.gov.au/
Gao, H., Barbier, G., & Goolsby, R. (2011). Harnessing the crowdsourcing power of social media for disaster relief. IEEE Intelligent Systems, 26(3), 10–14.
Holland, G. J. (1993). Ready Reckoner—Chapter 11, Global guide to tropical cyclone forecasting. In WMO-No. 1194, World Meteorological Organization, Geneva, Switzerland. Retrieved May 31, 2019, from https://www.wmo.int/cycloneguide/pdf/Global-Guide-to-Tropical-Cyclone-Forecasting.pdf
Innes, J. E., & Booher, D. E. (2000). Indicators for sustainable communities: A strategy building on complexity theory and distributed intelligence. Planning Theory & Practice, 1(2), 173–186.
Kamenev, M. (2011). Australia’s worst cyclones: Timeline. Australian Geographic. Retrieved May 30, 2018, from http://www.australiangeographic.com.au/topics/science-environment/2011/02/australias-worst-cyclones-timeline/
Kates, R. W., Colten, C. E., Laska, S., & Leatherman, S. P. (2006). Reconstruction of New Orleans after Hurricane Katrina: A research perspective. Proceedings of the National Academy of Sciences of the United States of America, 103(40), 14653–14660.
Kitchin, R., Lauriault, T. P., & McArdle, G. (2015). Knowing and governing cities through urban indicators, city benchmarking and real-time dashboards. Regional Studies, Regional Science, 2(1), 6–28. https://doi.org/10.1080/21681376.2014.983149
Martin, U. (2015). Health after disaster: A perspective of psychological/health reactions to disaster. Cogent Psychology, 2(1), 1–6.
McDermott, M., & Buckley, R. (2016). Cyclone Tracy disaster—Darwin, Northern Territory, Australia December 24–25, 1974: The disaster effect and lessons learnt. Presented at FIG Working Week 2016, 2–6 May 2016, Christchurch, NZ. Retrieved May 31, 2018, from http://www.fig.net/resources/proceedings/fig_proceedings/fig2016/techprog.htm
Motta, M., Abelheira, M., Gomes, O., Fonseca, W., & Besen, D. (2014). Rio de Janeiro Community Protection Program. Procedia Economics & Finance, 18, 128–135.
National Oceanic and Atmospheric Administration. (2018). Tsunami events search. Retrieved May 31, 2018, from https://www.ngdc.noaa.gov/nndc/struts/results?bt_0=1964&st_0=1964&type_7=Like&query_7=prince&d=7&t=101650&s=7
Newman, P., Beatley, T., & Boyer, H. (2009). Resilient cities: Responding to peak oil and climate change. Washington, DC: Island Press.
Perez, P., Holderness, T., Turpin, E. R., & Clarke, R. (2015). Citizen-Driven Flood Mapping in Jakarta: A Self-organising Socio-technical System. In Proceedings from 2015 IEEE International Conference on Self-Adaptive and Self-Organizing Systems Workshops, pp. 174–178.
Pettit, C., Bakelmun, A., Lieske, S. N., Glackin, S., Thomson, G., Shearer, H., … Newman, P. (2018). Planning support systems for smart cities. City, Culture and Society, 12, 13–24.
Pettit, C. J., & Leao, S. Z. (2017). Dashboard. In L. A. Schintler & C. L. McNeely (Eds.), Encyclopedia of big data (pp. 1–7). Cham: Springer International Publishing.
Pettit, C. J., Lieske, S., & Jamal, M. (2017). CityDash: Visualising a changing city using open data. In S. Geertman, J. Stillwell, A. Andrew, & C. J. Pettit (Eds.), Planning support systems and smart cities, lecture notes in geoinformation and cartography (pp. 337–353). Basel, Switzerland: Springer International Publishing.
Podlaha, A., Bowen, S., Darbinyan, C., & Lörinc, M. (2017). Global Catastrophe Recap—April 2017. Aon Benfield Analytics. Retrieved July 30, 2017, from http://thoughtleadership.aonbenfield.com/Documents/20170509-ab-analytics-if-april-global-recap.pdf
Queensland Government. (2017). Cyclones and severe storms. Retrieved July 1, 2017, from http://www.qld.gov.au/emergency/dealing-disasters/cyclone-severe-storm
Rana, S., Gunasekara, K., Hazarika, M., Samarakoon, L., & Siddiquee, M. (2010). Application of remote sensing and GIS for cyclone disaster management in coastal area: A case study at Barguna district, Bangladesh. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences—ISPRS Archives, 38, 122–126.
ReliefWeb. (2018). What is ReliefWeb?. Retrieved May 28, 2018, from http://reliefweb.int/about
ResilientCity. (2018). Resilience. Retrieved May 17, 2018, from http://www.resilientcity.org/index.cfm?id=11449
Ross, N., & Potts, M. (2011). ABC’s crowd sourced flood-mapping initiative. Retrieved October 26, 2017, from http://www.abc.net.au/technology/articles/2011/01/13/3112261.htm
StormCenter Communications. (2017). Fleet Response Working Group GeoCollaborate® Daily Dashboard. Retrieved October 26, 2017, from http://frwg.geocollaborate.com/dashboard/
Turnbull, M. (2015) Australian Government Public Data Policy Statement. https://www.pmc.gov.au/sites/default/files/publications/aust_govt_public_data_policy_statement_1.pdf.
UNISDR. (2018). Disaster statistics. Retrieved May 29, 2018, from https://www.unisdr.org/we/inform/disaster-statistics
UN News. (2013). World population projected to reach 9.6 billion by 2050—UN report. Retrieved May 29, 2018, from http://www.un.org/apps/news/story.asp?NewsID=45165
White, G. F., & Haas, J. E. (1975). Assessment of Research on Natural Hazards. Cambridge, MA: MIT Press.
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Tilley, I., Pettit, C. (2020). A Dashboard for the Unexpected: Open Data for Real-Time Disaster Response. In: Hawken, S., Han, H., Pettit, C. (eds) Open Cities | Open Data. Palgrave Macmillan, Singapore. https://doi.org/10.1007/978-981-13-6605-5_12
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