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Place-Based Citizen Science for Assessing Risk Perception and Coping Capacity of Households Affected by Multiple Hazards

Alves, Priscila Barros Ramalho, Cordão, Maria José de Sousa, Djordjević, Slobodan, Javadi, Akbar A.·2020·Sustainability

Abstract

Since hazards act upon vulnerability and exposure to become disasters, the understanding of societal challenges is key for disaster risk reduction. This condition is even more critical when more than one hazard is in place. Taking the case of flooding and water shortage, this study is built upon the premise that disasters are a social phenomenon; therefore, it is essential to comprehend the social context in which they occur. Particularly, this study aims to evaluate the similarities and differences in risk perception and the coping capacity of residents in the multiple-hazard context. For this, a place-based citizen science approach was developed in this study in Campina Grande, a semiarid region of Brazil, with the collaboration of 199 participants. Risk perception and coping capacity were analysed through the citizens’ participation, while combining subjective and objective methods. The results indicate that even though residents have experienced severe flooding and water shortages in the past, they still have low coping capacity. The findings highlight the need to combine a triad of societal challenges, namely information, trust, and incentives, to improve coping capacity in the future and increase resilience. This study underlines the need to understand multiple hazards according to social, spatial, and temporal scales in a socio-spatial perspective.

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Research works printed but not linked: 61

  1. Cutter, 2008, A place-based model for understanding community resilience to natural disasters, Glob. Environ. Chang., 18, 598, 10.1016/j.gloenvcha.2008.07.013 · DOI · Paper page
  2. IPCC (2014). Summary for policymakers. Climate Change: Impacts, Adaptation, and Vulnerability, Cambridge University Press. Part A: Global and Sectoral Aspects. Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change.
  3. Kaijser, 2013, Climate change through the lens of intersectionality, Environ. Politics, 23, 417, 10.1080/09644016.2013.835203 · DOI · Paper page
  4. Gambe, 2018, The Gender Dimensions of Water Poverty: Exploring Water Shortages in Chitungwiza, J. Poverty, 23, 105, 10.1080/10875549.2018.1517399 · DOI
  5. Lechowska, 2018, What determines flood risk perception? A review of factors of flood risk perception and relations between its basic elements, Nat. Hazards, 94, 1341, 10.1007/s11069-018-3480-z · DOI · Paper page
  6. Daramola, 2016, Adaptive capacity and coping response strategies to natural disasters: A study in Nigeria, Int. J. Disaster Risk Reduct., 15, 132, 10.1016/j.ijdrr.2016.01.007 · DOI
  7. Renn, 2004, Perception of risks, Toxicol Lett., 149, 405, 10.1016/j.toxlet.2003.12.051 · DOI · Paper page
  8. Lund Schlamovitz, J., and Becker, P. (2020). Differentiated vulnerabilities and capacities for adaptation to water shortage in Gaborone, Botswana. Int. J. Water Resour. Dev., 1–22. · DOI
  9. Westoby, 2020, From community-based to locally led adaptation: Evidence from Vanuatu, Ambio, 49, 1466, 10.1007/s13280-019-01294-8 · DOI
  10. Jolly, 2001, Adapting to Climate Change: Social-Ecological Resilience in a Canadian Western Arctic Community, Conserv. Ecol., 5, 18
  11. Whitney, 2017, Adaptive capacity: From assessment to action in coastal social-ecological systems, Ecol. Soc., 22, 22, 10.5751/ES-09325-220222 · DOI · Paper page
  12. Norris, 2008, Community resilience as a metaphor, theory, set of capacities, and strategy for disaster readiness, Am. J. Community Psychol., 41, 127, 10.1007/s10464-007-9156-6 · DOI · Paper page
  13. Kc, 2020, Multi-hazard climate risk projections for the United States, Nat. Hazards, 10, 1
  14. Wang, 2020, A review of the research into the relations between hazards in multi-hazard risk analysis, Nat. Hazards, 104, 2003, 10.1007/s11069-020-04259-3 · DOI
  15. Pagliacci, F., and Russo, M. (2020). Be (and have) good neighbours! Factors of vulnerability in the case of multiple hazards. Ecol. Indic. · DOI
  16. Aksha, 2020, A geospatial analysis of multi-hazard risk in Dharan, Nepal, Geomat. Nat. Hazards Risk, 11, 88, 10.1080/19475705.2019.1710580 · DOI
  17. Ward, P.J., de Ruiter, M.C., Mård, J., Schröter, K., Van Loon, A., Veldkamp, T., von Uexkull, N., Wanders, N., AghaKouchak, A., and Arnbjerg-Nielsen, K. (2020). The need to integrate flood and drought disaster risk reduction strategies. Water Secur. · DOI · Paper page
  18. Ruiter, 2020, Why We Can No Longer Ignore Consecutive Disasters, Earth’s Future, 8, 3, 10.1029/2019EF001425 · DOI · Paper page
  19. Santos, 2017, As dimensões humanas das mudanças ambientais: Percepção ambiental e estratégias de adaptação em Ilha Comprida—São Paulo, Rev. Gestão Costeira Integr., 17, 99, 10.5894/rgci-n54 · doi:10.5894/rgci-n54
  20. Kelman, I. (2020). Disaster by Choice: How Our Actions Turn Natural Hazards in Catostrophes, Oxford University Press.
  21. Wright, 2020, The blue-green path to urban flood resilience, Blue-Green Syst., 2, 28, 10.2166/bgs.2019.199 · DOI
  22. Tassi, 2016, Preferências da população de diferentes estratos sociais no manejo das águas pluviais urbanas, Ambiente Construído, 16, 39, 10.1590/s1678-86212016000300091 · doi:10.1590/s1678-86212016000300091
  23. Mueller, 2018, Citizen Design Science: A strategy for crowd-creative urban design, Cities, 72, 181, 10.1016/j.cities.2017.08.018 · DOI · Paper page
  24. Fraisl, 2020, Mapping citizen science contributions to the UN sustainable development goals, Sustain. Sci., 15, 1735, 10.1007/s11625-020-00833-7 · DOI · Paper page
  25. Alves, P.B.R., Alexandra Alves Rufino, I., Hermínio Cunha Feitosa, P., Djordjević, S., and Javadi, A. (2020). Land-Use and Legislation-Based Methodology for the Implementation of Sustainable Drainage Systems in the Semi-Arid Region of Brazil. Sustainability, 12. · doi:10.3390/su12020661
  26. Grangeiro, 2019, Análise da governança dos recursos hídricos na bacia hidrográfica do Rio Paraíba, Rev. Ibero-Am. Ciências Ambient., 10, 314, 10.6008/CBPC2179-6858.2019.005.0028 · doi:10.6008/cbpc2179-6858.2019.005.0028
  27. Rufino, 2020, Water shortage risk mapping: A GIS-MCDA approach for a medium-sized city in the Brazilian semi-arid region, Urban Water J., 17, 642, 10.1080/1573062X.2020.1804596 · DOI
  28. Eitzel, M.V., Cappadonna, J.L., Santos-Lang, C., Duerr, R.E., Virapongse, A., West, S.E., Kyba, C.C.M., Bowser, A., Cooper, C.B., and Sforzi, A. (2017). Citizen Science Terminology Matters: Exploring Key Terms. Citiz. Sci. Theory Pract. · DOI · Paper page
  29. Hardoy, 2019, Participatory planning for climate resilient and inclusive urban development in Dosquebradas, Santa Ana and Santa Tomé, Environ. Urban, 31, 33, 10.1177/0956247819825539 · DOI
  30. Evers, 2017, Prioritization of flood vulnerability, coping capacity and exposure indicators through the Delphi technique: A case study in Taquari-Antas basin, Brazil, Int. J. Disaster Risk Reduct., 24, 119, 10.1016/j.ijdrr.2017.05.027 · DOI
  31. Ajibade, 2014, Climate extremes and housing rights: A political ecology of impacts, early warning and adaptation constraints in Lagos slum communities, Geoforum, 55, 76, 10.1016/j.geoforum.2014.05.005 · DOI · Paper page
  32. Bryan, 2019, Coping with Drought: Perceptions, Intentions and Decision-Stages of South West England Households, Water Resour. Manag., 33, 1185, 10.1007/s11269-018-2175-2 · DOI
  33. Fuchs, 2017, Flood risk perception and adaptation capacity: A contribution to the socio-hydrology debate, Hydrol. Earth Syst. Sci., 21, 3183, 10.5194/hess-21-3183-2017 · DOI · Paper page
  34. Liu, 2018, Flood risk perception of rural households in western mountainous regions of Henan Province, China, Int. J. Disaster Risk Reduct., 27, 155, 10.1016/j.ijdrr.2017.09.051 · DOI
  35. Marfai, 2014, Community responses and adaptation strategies toward flood hazard in Jakarta, Indonesia, Nat. Hazards, 75, 1127, 10.1007/s11069-014-1365-3 · doi:10.1007/s11069-014-1365-3
  36. Nguimalet, 2018, Comparison of community-based adaptation strategies for droughts and floods in Kenya and the Central African Republic, Water Int., 43, 183, 10.1080/02508060.2017.1393713 · doi:10.1080/02508060.2017.1393713
  37. Leigh, N., and Lee, H. (2019). Sustainable and Resilient Urban Water Systems: The Role of Decentralization and Planning. Sustainability, 11. · DOI · Paper page
  38. Ruangpan, 2020, Nature-based solutions for hydro-meteorological risk reduction: A state-of-the-art review of the research area, Nat. Hazards Earth Syst. Sci., 20, 243, 10.5194/nhess-20-243-2020 · DOI · Paper page
  39. Vojinovic, Z., and Abbott, M.B. (2012). Flood Risk and Social Justice. From Quantitative to Qualitative Flood Risk Assessment and Mitigation, IWA Publishing. · doi:10.2166/9781780400822
  40. Heckert, M., and Rosan, C.D. (2018). Creating GIS-Based Planning Tools to Promote Equity Through Green Infrastructure. Front Built Environ., 4. · DOI
  41. Albert, C., Brillinger, M., Guerrero, P., Gottwald, S., Henze, J., Schmidt, S., Ott, E., and Schroter, B. (2020). Planning nature-based solutions: Principles, steps, and insights. Ambio. · DOI · Paper page
  42. Mondino, E., Scolobig, A., Borga, M., and Di Baldassarre, G. (2020). The Role of Experience and Different Sources of Knowledge in Shaping Flood Risk Awareness. Water, 12. · doi:10.3390/w12082130
  43. Bryan, 2009, Adaptation to climate change in Ethiopia and South Africa: Options and constraints, Environ. Sci. Policy, 12, 413, 10.1016/j.envsci.2008.11.002 · DOI · Paper page
  44. Danso, 2016, Coping strategies of households affected by flooding: A case study of Sekondi-Takoradi Metropolis in Ghana, Urban Water J., 14, 539, 10.1080/1573062X.2016.1176223 · DOI
  45. Naima, 2020, The Impact of Human Activities on Flood Trends in the Semi-Arid Climate of Cheliff Basin, Algeria, Water Resour., 47, 409, 10.1134/S0097807820030136 · doi:10.1134/s0097807820030136
  46. Miranda, 2016, A PERCEPÇÃO DE USUÁRIOS SOBRE OS IMPACTOS DO RACIONAMENTO DE ÁGUA EM SUAS ROTINAS DOMICILIARES, Ambiente Soc., XIX, 165
  47. Wens, M., Johnson, J.M., Zagaria, C., and Veldkamp, T.I.E. (2019). Integrating human behavior dynamics into drought risk assessment—A sociohydrologic, agent-based approach. Wiley Interdiscip. Rev. Water. · DOI
  48. Lei, 2014, A preliminary discussion on the opportunities and challenges of linking climate change adaptation with disaster risk reduction, Nat. Hazards, 71, 1587, 10.1007/s11069-013-0966-6 · DOI
  49. Kazmierczak, 2012, Are homeworkers willing to adapt to and mitigate the effects of climate change?, Clim. Chang., 112, 654
  50. Galaitsi, S., Russell, R., Bishara, A., Durant, J., Bogle, J., and Huber-Lee, A. (2016). Intermittent Domestic Water Supply: A Critical Review and Analysis of Causal-Consequential Pathways. Water, 8. · DOI · Paper page
  51. Roe, 2020, Who is a hydrocitizen? The use of dialogic arts methods as a research tool with water professionals in West Yorkshire, UK, Local Environ., 25, 273, 10.1080/13549839.2020.1732897 · doi:10.1080/13549839.2020.1732897
  52. Cinner, 2018, Building adaptive capacity to climate change in tropical coastal communities, Nat. Clim. Chang., 8, 117, 10.1038/s41558-017-0065-x · DOI · Paper page
  53. Maskrey, 2016, Participatory modelling for stakeholder involvement in the development of flood risk management intervention options, Environ. Model. Softw., 82, 275, 10.1016/j.envsoft.2016.04.027 · DOI
  54. Marengo, 2009, Future change of temperature and precipitation extremes in South America as derived from the PRECIS regional climate modeling system, Int. J. Climatol., 29, 2241, 10.1002/joc.1863 · DOI · Paper page
  55. Ávila, A., Justino, F., Wilson, A., Bromwich, D., and Amorim, M. (2016). Recent precipitation trends, flash floods and landslides in southern Brazil. Environ. Res. Lett. · DOI · Paper page
  56. Lorentz, 2016, Multicriteria analysis applied to landslide susceptibility mapping, Nat. Hazards, 83, 41, 10.1007/s11069-016-2300-6 · doi:10.1007/s11069-016-2300-6
  57. Millington, 2018, Producing water scarcity in São Paulo, Brazil: The 2014–2015 water crisis and the binding politics of infrastructure, Political Geogr., 65, 26, 10.1016/j.polgeo.2018.04.007 · DOI
  58. Espinoza, J.C., Marengo, J.A., Ronchail, J., Carpio, J.M., Flores, L.N., and Guyot, J.L. (2014). The extreme 2014 flood in south-western Amazon basin: The role of tropical-subtropical South Atlantic SST gradient. Environ. Res. Lett. · DOI · Paper page
  59. Giulio, 2015, Percepção de risco: Um campo de interesse para a interface ambiente, saúde e sustentabilidade, Saúde Soc., 24, 1217
  60. Cutter, 2016, Social Vulnerability to Natural Hazards in Brazil, Int. J. Disaster Risk Sci., 7, 111, 10.1007/s13753-016-0090-9 · doi:10.1007/s13753-016-0090-9
  61. Aledo, 2018, The social vulnerability approach for social impact assessment, Environ. Impact Assess. Rev., 73, 70, 10.1016/j.eiar.2018.07.005 · doi:10.1016/j.eiar.2018.07.005

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Metadata

Authors
Alves, P. B. R., Cordão, M. J. D. S., Djordjević, S., & Javadi, A. A.
Venue
Sustainability
Publisher
MDPI AG
Published
2020-12-31
Volume
13
Issue
1
Pages
302
ISSN
2071-1050
Cited by
19
References
1
Language
en
Funders
  • Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) (88881.129673/2016-01)
  • Horizon 2020 (778120)

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CoChat. (2026). Citation check: Place-Based Citizen Science for Assessing Risk Perception and Coping Capacity of Households Affected by Multiple Hazards. https://app.cochat.ai/papers/10.3390/su13010302
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Alves, P. B. R., Cordão, M. J. D. S., Djordjević, S., & Javadi, A. A. (2020). Place-Based Citizen Science for Assessing Risk Perception and Coping Capacity of Households Affected by Multiple Hazards. Sustainability. https://doi.org/10.3390/su13010302

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