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ICT Readiness for Flood Risk Reduction and Management: Lessons from Eastern Cape Province’s Port St Johns Municipality, South Africa

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The Increasing Risk of Floods and Tornadoes in Southern Africa

Abstract

The Eastern Cape and KwaZulu-Natal in South Africa experienced severe floods in April 2019 and the negative impacts were significant. This chapter seeks to determine information communication and technology (ICT) readiness for flood risk reduction and management at the local municipality of Port St Johns in the Eastern Cape Province. The chapter further investigates the resilience of ICT infrastructure to flooding. ICT in this article refers to technology used for regular, everyday tasks like sending emails; making video calls; searching on the internet; using a tablet or mobile phone and even the older technology, like TVs and radios. The data was collected mainly through a household questionnaire survey. This was complemented by means of document analysis and field observations. The key findings were that the mobile phone was the most prevalent ICT device followed by TV and radio. Several barriers to the effective use of ICT for flood risk reduction and management were observed and these included the lack of capacity to buy data, the availability of a reliable network and low levels of literacy of the elderly. Since South Africa and the world are moving swiftly in scaling up the use of mobile phones, for flood risk reduction and management, this implies that network coverage be improved at the municipality of Port St Johns. Community training tailor-made for flood and other disaster risk reductions and management should also be introduced.

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Notes

  1. 1.

    Ushahidi is a crowd sourcing platform used for reporting any disturbance within communities.

  2. 2.

    The exchange rate stood at US$1 to R16.40 as of 20 October 2020.

References

  • ADPC. (2011). ICT for disaster risk management. Republic of Korea: The Academy of ICT Essentials for Government Leaders Module Series, United Nations Asian and Pacific Training Centre for Information and Communication Technology for Development (UN-APCICT/ESCAP).

    Google Scholar 

  • AICRPAM. (2018). Annual Report 2017-2018 (67p). Thrissur: Kerala Agricultural University.

    Google Scholar 

  • African Leadership Magazine. (2018). Vodacom channels $21m to rural internet connectivity. Retrieved October 22, 2020, from https://www.africanleadershipmagazine.co.uk/vodacom-channels-21m-to-rural-internet-connectivity/

  • Allaire, M. C. (2016). Disaster loss and social media: Can online information increase flood resilience? Water Resources Research, 52, 7408–7423. https://doi.org/10.1002/2016WR019243.

    Article  Google Scholar 

  • Alexander, D. E. (2014). Social media in disaster risk reduction and crisis management. Science Engineering and Ethics, 20, 717–733. https://doi.org/10.1007/s11948-013-9502-z.

    Article  Google Scholar 

  • Archer, D. R., & Fowler, H. J. (2018). Characterising flash flood response to intense rainfall and impacts using historical information and gauged data in Britain. Journal of Flood Risk Management, 2018(11), S121–S133.

    Article  Google Scholar 

  • Below, R., Wirtz, A., & Guha-Sapor, D. (2009). Disaster category classification and peril terminology for operational purposes. Brussels, Belgium: Centre for Research on the Epidemiology of Disasters.

    Google Scholar 

  • Bradford, R. A., O’Sullivan, J. J., van der Crats, I. M., Krywkow, J., Rotko, P., Aaltonen, J., Bonaiuto, M., De Dominics, S., Waylen, K. (2012). Risk perception: Issues for flood management in Europe. Natural Hazards Earth System Sciences, 12(7): 2299–2309.

    Google Scholar 

  • Business Live. (2019). Cyril Ramaphosa flies to flood-ravaged KZN as over 50 reported dead. Retrieved October 22, 2020, from https://www.businesslive.co.za/bd/national/2019-04-24-cyril-ramaphosa-flies-to-flood-ravaged-kzn-as-over-50-reported-dead/

  • Chapungu, L. (2020, May). Mitigating the impact of cyclone disasters: Lessons from Cyclone Idai. South African Institute of International Affairs, Policy briefing, Climate Change and Migration.

    Google Scholar 

  • Davies, R. (2020). Zimbabwe—Deadly Storms and Floods in Manicaland, Floodlist. Retrieved November 12, 2020, from http://floodlist.com/africa/zimbabwe-floods-manicaland-november-2020

  • Dawson, R. J., Dickson, M. E., Nicholls, R. J., Hall, J. W., Walkden, M. J., Stansby, P. K., Mokrech, M., Richards, J., Zhou, J., Milligan, J., et al. (2009). Integrated analysis of risks of coastal flooding and cliff erosion under scenarios of long term change. Climate Change, 95, 249–288.

    Article  Google Scholar 

  • ECSECC (Eastern Cape Socio Economic Consultative Council). (2017). Port St Johns local municipality socio-economic review and outlook 2017. East London: ECSECC.

    Google Scholar 

  • Falconer, R. H., Cobby, D., Smyth, P., Astle, G., Dent, J., & Golding, B. (2009). Pluvial flooding: New approaches in flood warning, mapping and risk management. J. Flood Risk Management, 2, 198–208.

    Article  Google Scholar 

  • GFDRR (Global Facility for Disaster Reduction and Recovery). (2015). Bringing resilience to scale (GFDRR Annual Report’14). Washington, DC: GFDRR. Retrieved October 28, 2020, from https://www.gfdrr.org/sites/gfdrr/files/publication/GFDRR%20ANNUAL%20REPORT%202014.pdf

  • GSMA. (2020). The mobile economy Asia Pacific 2020. London, UK: GSM Association.

    Google Scholar 

  • Hallegatte, S. (2011). How economic growth and rational decisions can make disaster losses grow faster than wealth. Policy Research Working Paper. Washington, DC: World Bank.

    Book  Google Scholar 

  • Haritharaj, S., Visakh, N. U., & Antony, A. C. (2020). Early warning systems: An alert to Flood. Vigyan Varta, 1(1), 30–32.

    Google Scholar 

  • Hassan, A. A. M. (2015). Role of ICT in natural disaster management of Bangladesh. A Dissertation for the Degree of Master in Disaster Management, Postgraduate Programs in Disaster Management (PPDM) BRAC University, Dhaka, Bangladesh.

    Google Scholar 

  • Heberger, M., Cooley, H., Herrera, P., Gleick, P. H., & Moore, E. (2011). Potential impacts of increased coastal flooding in California due to sea-level rise. Climate Change, 2011(109), 229–249.

    Article  Google Scholar 

  • Huang, C., Chan, E., & Hyder, A. A. (2010). Web 2.0 and Internet Social Networking: A New tool for Disaster Management?—Lessons from Taiwan. BMC Medical Informatics and Decision Making, 10(57). https://doi.org/10.1186/1472-6947-10-57.

  • Hurford, A. P., Priest, S. J., Parker, D. J., & Lumbroso, D. M. (2012). The effectiveness of extreme rainfall alerts in predicting surface water flooding in England and Wales. International Journal of Climatology, 32, 1768–1774.

    Article  Google Scholar 

  • IAEG-SDGs (United Nations Inter-agency and Expert Group on SDG Indicators). (2018). Tier classification for global SDG indicators 15 October 2018. New York: IAEG-SDGs.

    Google Scholar 

  • IPCC (Intergovernmental Panel on Climate Change). (2012). Managing the risks of extreme events and disasters to advance climate change adaptation. In C. B. Field, V. Barros, T. F. Stocker, D. Qin, D. J. Dokken, K. L. Ebi, M. D. Mastrandrea, et al. (Eds.), A special report of Working Groups I and II of the Intergovernmental Panel on Climate Change. Cambridge and New York: Cambridge University Press.

    Google Scholar 

  • ITU-D (The Telecommunication Development Sector). (2020). Statistics. Retrieved August 18, 2020, from https://www.itu.int/en/ITU-D/Statistics/Pages/stat/default.aspx

  • Kaur, A., & Sood, S. K. (2019). Analytical mapping of research on disaster management, types and role of ICT during 2011–2018. Environmental Hazards, 18(3), 266–285. https://doi.org/10.1080/17477891.2019.1567457.

    Article  Google Scholar 

  • Kaur, A., & Sood, S. K. (2020). Hydro-meteorological hazards and role of ICT during 2010-2019: A scientometric analysis. Earth Science Informatics, 13, 1201–1223. https://doi.org/10.1007/s12145-020-00495-0.

    Article  Google Scholar 

  • Kaźmierczak, A., & Cavan, G. (2011). Surface water flooding risk to urban communities: Analysis of vulnerability, hazard and exposure. Landscape and Urban Planning, 2011(103), 185–197.

    Article  Google Scholar 

  • Koswatte, S., McDougall, K., & Liu, X. (2018). VGI and crowdsourced data credibility analysis using spam email detection techniques. International Journal of Digital Earth, 11, 520–532. https://doi.org/10.1080/17538947.2017.1341558.

    Article  Google Scholar 

  • Le Coz, J., Patalano, A., Collins, D., Guillén, N. F., García, C. M., Smart, G. M., et al. (2016). Crowdsourced data for flood hydrology: Feedback from recent citizen science projects in Argentina, France and New Zealand. Journal of Hydrology, 541, 766–777. https://doi.org/10.1016/j.jhydrol.2016.07.036.

    Article  Google Scholar 

  • Liu, C., Guo, L., Ye, L., Zhang, S., Zhao, Y., & Song, T. (2018). A review of advances in China’s flash flood early-warning system. Natural Hazards, 92, 619–634.

    Article  Google Scholar 

  • Louvain, C. (2019). Natural disasters 2018; Centre for Research on the Epidemiology of Disasters CRED: Brussels, Belgium; USAID: Geneva, Switzerland. p. 8.

    Google Scholar 

  • Mazumder, S., & Dhar, S. (2018). Hadoop ecosystem as enterprise big data platform: Perspectives and practices. International Journal of Information Technology and Management, 17(4), 334–348. https://doi.org/10.1504/IJITM.2018.095060.

    Article  Google Scholar 

  • McCallum, I., Liu, W., See, L., Mechler, R., Keating, A., Hochrainer-Stigler, S., Mochizuki, J., Fritz, S., Dugar, S., Arestegui, M., Szoenyi, M., Bayas, J. C. L., Burek, P., French, A., & Moorthy, I. (2016). Technologies to support community flood disaster risk reduction. International Journal of Disaster Risk Science, 7, 198–204. https://doi.org/10.1007/s13753-016-0086-5.

    Article  Google Scholar 

  • McLeod, D. (2015). The challenge of connecting SA’s rural poor. Retrieved October 22, 2020, from https://techcentral.co.za/the-challenge-of-connecting-sas-rural-poor/58306/

  • Meechang, K., Leelawat, N., Tang, J., Kodaka, A., & Chintanapakdee, C. (2020). The acceptance of using information technology for disaster risk management: A systematic review. Engineering Journal, 24(4). https://doi.org/10.4186/ej.2020.24.4.111.

  • Mileti, D. (1999). Disasters by design: A reassessment of natural hazards in the United States. Washington, DC: Joseph Henry Press.

    Google Scholar 

  • Ministry of Cooperative Governance and Traditional Affairs. (2019). Minister Zweli Mkhize visits areas affected by floods in Eastern Cape. Retrieved October 22, 2020, from https://www.gov.za/speeches/minister-zweli-mkhize-see-first-hand-damages-caused-recent-rains-eastern-cape-27-apr-2019

  • Mujuzi, J. D. (2020). Electricity theft in South Africa: Examining the need to clarify the offence and pursue private prosecution? Obiter, 41(1), 78–87.

    Article  Google Scholar 

  • Muktar, B. G., Man, N., Saleh, J. M., & Daneji, M. I. (2018). Evaluation of ICTs access, use and preferences for livelihood resilience: Results from a survey of Malaysian fisher folks. The Journal of Agricultural Education and Extension, 24(4), 377–388. https://doi.org/10.1080/1389224X.2018.1479279.

    Article  Google Scholar 

  • Naik, N. (2016). Flooded streets—A crowdsourced sensing system for disaster response: A case study. In: Proceedings of the ISSE 2016—2016 International Symposium on Systems Engineering. Edinburgh: IEEE. https://doi.org/10.1109/SysEng.2016.7753186.

  • Neelson, A. (2017). Flood disasters more than double across Europe in 35 years. The Guardian. Retrieved from https://www.theguardian.com/environment/2017/jan/19/flood-disasters-morethan-double-across-europe-in-35-years

  • Nhamo, G., Nhemachena, C., & Nhamo, S. (2020). Using ICT indicators to measure readiness of countries to implement Industry 4.0 and the SDGs. Environmental Economics and Policy Studies, 22, 315–337. https://doi.org/10.1007/s10018-019-00259-1.

    Article  Google Scholar 

  • Okolloh, O. (2009). Ushahidi, or ‘testimony’: Web 2.0 tools for crowdsourcing crisis information. In H. Ashley (Ed.), Change at hand: Web 2.0 for development Participatory learning and action (pp. 65–70). London: International Institute for Environment and Development.

    Google Scholar 

  • Onafeso, O. D., & Samuel, K. J. (2012, November). The role of ICT in the establishment of flood early warning system in Nigeria. Paper presented at the Climate Change Conference, Centre for Climate Change and Environmental Research, Osun State University, Okuku Campus, Okuku, Nigeria.

    Google Scholar 

  • Panek, J. Marek, L. Paszto, V. and Valuch, J. (2017). The Crisis Map of the Czech Republic: The nationwide deployment of an Ushahidi application for disasetrs. Disasters, 41, 649–671. https://doi.org/10.1111.disa.12221.

  • Pant, R., Thacker, S., Hall, J. W., Alderson, D., & Barr, S. (2018). Critical infrastructure impact assessment due to flood exposure. Journal of Flood Risk Management, 11, 22–33. https://doi.org/10.1111/jfr3.12288.

    Article  Google Scholar 

  • Parajuli, J., & Baral, S. (2018). Remote sensing schemes mingled with information and communication technologies (ICTs) for flood disaster management. Journal on Pattern Recognition, 4(4), 1–12.

    Google Scholar 

  • Port St Johns Disaster Risk Management Satellite Centre. (2019). Floods that affected Port St Johns local municipality. Port St Johns: O.R. Tambo District Municipality.

    Google Scholar 

  • Sakurai, M., & Murayama, Y. (2019). Information technologies and disaster management: Benefits and issues. Progress in Disaster Science, 2, 100012. https://doi.org/10.1016/j.pdisas.2019.100012.

    Article  Google Scholar 

  • See, L. (2019). A review of citizen science and crowdsourcing in applications of pluvial flooding. Frontiers in Earth Science, 7, 44. https://doi.org/10.3389/feart.2019.00044.

    Article  Google Scholar 

  • Sharp, E. N., & Carter, H. (2020). Examination of how social media can inform the management of volunteers during a flood disaster. Journal of Flood Risk Management, 16(4), e12665. https://doi.org/10.1111/jfr3.12665.

    Article  Google Scholar 

  • Siqathule, S. (2019). Declare disaster zone, pleads flood victim in Port St Johns informal settlement. Retrieved October 22, 2020, from https://www.groundup.org.za/article/declare-disaster-zone-pleads-flood-victim-port-st-johns-informal-settlement/

  • Smith, L., Liang, Q., James, P., & Lin, W. (2017). Assessing the utility of social media as a data source for flood risk management using a real-time modelling framework. Journal of Flood Risk Management, 10, 370–380. https://doi.org/10.1111/jfr3.12154.

    Article  Google Scholar 

  • Stephenson, R., & Anderson, P. S. (1997). Disasters and the information technology revolution. Disasters, 21(4), 305–334.

    Article  Google Scholar 

  • Subin, P., & Sujatha, S. (2020). Witnessing a Disaster: Public Use of Digital Technologies in the 2015 South Indian Floods. Digital Journalism, 8(1), 15–31. https://doi.org/10.1080/21670811.2019.1636693.

  • United Nations. (2015). Transforming our world: The 2030 agenda for sustainable development. New York: United Nations Secretariat.

    Google Scholar 

  • United Nations Environment Programme Division of Early Warning and Assessment (UNEP-DEWA). (2006). One planet many people: Atlas of our changing environment. Kenya: Nairobi.

    Google Scholar 

  • UNDRR (United Nations Office for Disaster Risk Reduction). (2015). Sendai framework on disaster risk reduction (2015-2030). New York: UNDRR Secretariat.

    Google Scholar 

  • UNISDR. (2011). Global Assessment Report on Disaster Risk Reduction 2011. Retrieved from http://www.inisdr.org (Accessed 26 November 2020).

  • UNISDR (United Nations International Strategy for Disaster Reduction). (2015). Making development sustainable: The future of disaster risk management. Global assessment report on disaster risk reduction. Geneva: UNISDR.

    Google Scholar 

  • Victorino, J. N. C., Estuar, M. R. J. E., & Lagmay, A. M. F. A. (2016). Validating the voice of the crowd during disasters. In K. Xu, D. Reitter, D. Lee, & N. Osgood (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 9708 LNCS (pp. 301–310). Cham: Springer. https://doi.org/10.1007/978-3-319-39931-7_29.

    Chapter  Google Scholar 

  • Vodacom. (2019). Vodacom Eastern Cape region delivers a substantial return to society and accelerates network infrastructure in deep rural areas. Retrieved October 22, 2020, from https://www.vodacom.com/news-article.php?articleID=7425

  • Wattegama, C. (2007). ICT for disaster management. Asian and Pacific Training Centre for Information and Communication Technology for Development, pp. 22–26. Retrieved December 06, 2014, from http://www.unapcict.org

  • WDI (World Development Indicators). (2020). World Development Indicators. Retrieved from https://datatopics.worldbank.or/world-development-indicators/ (Accessed 28 August 2020).

  • When, U., Rusca, M., Evers, J., & Lanfranchi, V. (2015). Participation in flood risk management and the potential of citizen observatories: A governance analysis. Environmental Science & Policy, 48, 225–236. https://doi.org/10.1016/j.envsci.2014.12.017.

    Article  Google Scholar 

  • Wolf, J. (2009). Coastal flooding: Impacts of coupled wave–surge–tide models. Natural Hazards, 2009(49), 241–260.

    Article  Google Scholar 

  • Woodruff, J. D., Irish, J. L., & Camargo, S. J. (2013). Coastal flooding by tropical cyclones and sea-level rise. Nature, 2013(504), 44.

    Article  Google Scholar 

  • Yang T.H and Liu, W. C. (2020) A General Overview of the Risk-Reduction Strategies for Floods and Droughts, Sustainability 12, 2687; https://doi.org/10.3390/su12072687

  • Yap, N. T. (2011). Disaster management, developing country communities and climate change: The role of ICTs. Institute for Development Policy and Management, Canada, pp. 6–7. Retrieved December 06, 2014, from http://www.niccd.org

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Nhamo, G., Chapungu, L., Nyika, S. (2021). ICT Readiness for Flood Risk Reduction and Management: Lessons from Eastern Cape Province’s Port St Johns Municipality, South Africa. In: Nhamo, G., Chapungu, L. (eds) The Increasing Risk of Floods and Tornadoes in Southern Africa. Sustainable Development Goals Series. Springer, Cham. https://doi.org/10.1007/978-3-030-74192-1_3

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