How Can Community-Based Organizations Improve Flood Risk Communication? A Case Study of China Based on Grounded Theory
Abstract
:1. Introduction
2. Literature Review
2.1. Resilience in Vulnerable Communities
2.2. Flood Risk Communication
3. Materials and Methods
3.1. Grounded Theory Analysis
3.2. The Study Area
3.3. Recruitment and Participants
4. Findings
4.1. Open Coding
4.2. Axial Coding
4.2.1. Creating New, Solid Social Networks: A Livelihood-Based Gesellschaft
“We were never labeled ‘experts’, even when we had to use formal language to define risk in the context of complex problems. In China, renowned experts such as Professor Zhong Nanshan, whose perspective on infectious diseases inspires both the proper response and high levels of public confidence, have a significant influence. At least for the time being, the ‘expert effect’ does not apply to the subject of flood risk management. CBOs are not seen as commanders but rather as regular citizens of the community, and this decreased emotional distance makes it easier for people to absorb communications about flood risk”.(quotation from ZY17)
“When we employ urban flood risk communication, the most essential thing is to obtain an interface to interact with vulnerable populations”.(quotation from ZZ2)
“Our efforts include going from home to house to understand and attempt to help people with their livelihood difficulties, as well as carrying out group activities that not only take residents’ needs into account but also improve the inclusive environment. Residents’ quality of life has improved after taking essential precautions with our guidance, which has benefited our future offline and online risk communication tactics. Residents truly think that our efforts or recommendations are meant to improve their welfare. On a voluntary basis, many residents also take part in our efforts to enlighten other community members about flood risk awareness and risk reduction”.(quotation from ZY1)
4.2.2. Integrating Risk Perceptions: Bridging Knowledge and Local Experiences
“We have conferred with meteorological experts quite a bit. The cliché problem of how to explain to the general public why ‘once-in-a-century’ floods have occurred so frequently recently is one example of this. We attempted to match a large number of examples in order to highlight the traits of common situations, the evolution of different disaster outcomes, the paradoxical nature of urban flood probability, and the benefits of disaster preparedness.”
“When all outcomes point to improved livelihoods, the risk knowledge framework developed by CBOs gains traction for widespread transfer”.(quotation from ZY4)
4.2.3. Socially Reconstructing Community Resilience
“In vulnerable areas, the issue of harmonizing public interests is typically a problem for risk governance. Many of the flaws can be solved by increasing the number of decision-makers and improving feedback methods. The primary goal of flood risk management is to protect people’s livelihoods. Finally, our efforts resulted in a gradual change in the community’s single, inflexible management paradigm.”
4.3. Theory Building
5. Discussion
6. Conclusions
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
Appendix A. Guide to Semistructured Interviews
- Step 1:
- Discuss potential flood risk management or risk communication scenarios with participants and plan a review of the scenario with them. On any specific aspect, participants may be asked to provide more details.
- Step 2:
- Describe to the respondents the goal of the interview. The scientific category of “flood risk communication” given in the scenario is meant to illustrate how community governance is driven by participants’ work.
- Step 3:
- The participant is then asked to elaborate on the work-in-progress and make a list of its key components.
- (1)
- How can residents better grasp flood risk information?
- (2)
- How will you respond if locals are uncertain about risk communication?
- (3)
- How should you prepare to carry out your risk communication tasks?
- (4)
- What method is used to improve communication between local populations and government agencies?
- (5)
- How resilient is the community to disasters now, in your opinion?
- (6)
- Has the effectiveness of early risk communication been demonstrated in the context of emergency flood risk avoidance information?
- (7)
- What are the key obstacles to the development of community-wide flood risk mitigation?
1 | From the Soil: The Foundations of Chinese Society, the representative work of sociologist and anthropologist Fei Xiaotong, is a compilation of his lecture notes from the late 1940s, when he taught rural sociology at the National Southwest Associated University and Yunnan University. The English version was published by the University of California Press in 1992, and can be viewed at http://www.jstor.org/stable/10.1525/j.ctt1pn6km. (accessed on 18 November 2022) |
2 | The catastrophic effects of massive floods brought on by heavy rain in Henan Province in 2021 shook China. In fact, the subtropical anticyclone over the western Pacific caused severe rainfall in Shijiazhuang in July 2021. However, Shijiazhuang’s casualties and property damages were kept to a minimum thanks to efficient disposal. |
References
- Bevere, L.; Remondi, D.F. Natural Catastrophes in 2021: The Floodgates Are Open; Swiss Re: Zurich, Switzerland, 2022; Available online: https://www.swissre.com/institute/research/sigma-research/sigma-2022-01.html (accessed on 11 November 2022).
- CRED. 2021 Disasters in Numbers; Centre for Research on the Epidemiology of Disasters: Brussels, Belgium, 2022; Available online: https://cred.be/sites/default/files/2021_EMDAT_report (accessed on 11 November 2022).
- Carrasco, S.; Dangol, N. Citizen-government negotiation: Cases of in riverside informal settlements at flood risk. Int. J. Disaster Risk Reduct. 2019, 38, 101195. [Google Scholar] [CrossRef]
- Zahari, R.K.; Ariffin, R.N.R. Risk Communications: Flood-Prone Communities of Kuala Lumpur. Procedia Environ. Sci. 2013, 17, 880–888. [Google Scholar] [CrossRef] [Green Version]
- Corriero, A.C.; Khan, F.M.A.; Bassey, E.E.; Bouaddi, O.; Costa, A.C.D.; Outani, O.; Hasan, M.M.; Ahmad, S.; Essar, M.Y. Floods, landslides and COVID-19 in the Uttarakhand State, India: Impact of Ongoing Crises on Public Health. Disaster Med. Public Health Prep. 2021, 373, 1–4. [Google Scholar] [CrossRef] [PubMed]
- Aura, C.M.; Nyamweya, C.S.; Odoli, C.O.; Owiti, H.; Njiru, J.M.; Otuo, P.W.; Waithaka, E.; Malala, J. Consequences of calamities and their management: The case of COVID-19 pandemic and flooding on inland capture fisheries in Kenya. J. Great Lakes Res. 2020, 46, 1767–1775. [Google Scholar] [CrossRef]
- Simonovic, S.P.; Kundzewicz, Z.W.; Wright, N. Floods and the COVID-19 pandemic-A new double hazard problem. WIREs Water 2021, 8, e1509. [Google Scholar] [CrossRef]
- Izumi, T.; Das, S.; Abe, M.; Shaw, R. Managing Compound Hazards: Impact of COVID-19 and Cases of Adaptive Governance during the 2020 Kumamoto Flood in Japan. Int. J. Environ. Res. Public Health 2022, 19, 1188. [Google Scholar] [CrossRef]
- Norris, F.H.; Stevens, S.P.; Pfefferbaum, B.; Wyche, K.F.; Pfefferbaum, R.L. Community Resilience as a Metaphor, Theory, Set of Capacities, and Strategy for Disaster Readiness. Am. J. Community Psychol. 2008, 41, 127–150. [Google Scholar] [CrossRef] [PubMed]
- Kellens, W.; Terpstra, T.; De Maeyer, P. Perception and Communication of Flood Risks: A Systematic Review of Empirical Research. Risk Anal. 2013, 33, 24–49. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Grothmann, T.; Reusswig, F. People at risk of flooding: Why some residents take precautionary action while others do not. Nat. Hazards 2006, 38, 101–120. [Google Scholar] [CrossRef]
- Vogel, C.; Moser, S.C.; Kasperson, R.E.; Dabelko, G.D. Linking vulnerability, adaptation, and resilience science to practice: Pathways, players, and partnerships. Glob. Environ. Change 2007, 17, 349–364. [Google Scholar] [CrossRef]
- Frewer, L. The public and effective risk communication. Toxicol. Lett. 2004, 149, 391–397. [Google Scholar] [CrossRef]
- Punt, E.; Monstadt, J.; Frank, S.; Witte, P. Beyond the dikes: An institutional perspective on governing flood resilience at the Port of Rotterdam. Marit. Econ. Logist. 2022. [Google Scholar] [CrossRef]
- Atanga, R.A. The role of local community leaders in flood disaster risk management strategy making in Accra. Int. J. Disaster Risk Reduct. 2020, 43, 101358. [Google Scholar] [CrossRef]
- Paton, D.; Irons, M. Communication, sense of community, and disaster recovery: A Facebook case study. Front. Commun. 2016, 1, 4. [Google Scholar] [CrossRef] [Green Version]
- Poku-Boansi, M.; Amoako, C.; Owusu-Ansah, J.K.; Cobbinah, P.B. What the state does but fails: Exploring smart options for urban flood risk management in informal Accra, Ghana. City Environ. Interact. 2020, 5, 100038. [Google Scholar] [CrossRef]
- Rufat, S.; Fekete, A.; Armaş, I.; Hartmann, T.; Kuhlicke, C.; Prior, T.; Thaler, T.; Wisner, B. Swimming alone? Why linking flood risk perception and behavior requires more than “it’s the individual, stupid”. WIREs Water 2020, 7, e1462. [Google Scholar] [CrossRef]
- Du, S.; Cheng, X.; Huang, Q.; Chen, R.; Ward, P.J.; Aerts, J.C.J.H. Brief communication: Rethinking the 1998 China floods to prepare for a nonstationary future. Nat. Hazards Earth Syst. Sci. 2019, 19, 715–719. [Google Scholar] [CrossRef] [Green Version]
- Kapucu, N. Collaborative emergency management: Better community organising, better public preparedness and response. Disasters 2008, 32, 239–262. [Google Scholar] [CrossRef]
- McEwen, L.; Holmes, A.; Quinn, N.; Cobbing, P. ‘Learning for resilience’: Developing community capital through flood action groups in urban flood risk settings with lower social capital. Int. J. Disaster Risk Reduct. 2018, 27, 329–342. [Google Scholar] [CrossRef]
- Snel, K.A.W.; Priest, S.J.; Hartmann, T.; Witte, P.A.; Geertman, S.C.M. ‘Do the resilient things.’ Residents’ perspectives on responsibilities for flood risk adaptation in England. J. Flood Risk Manag. 2021, 14, e12727. [Google Scholar] [CrossRef]
- Thomas, M.; Klemm, C.; Hutchins, B.; Kaufman, S. Emergency risk communication and sensemaking during smoke events: A survey of practitioners. Risk Anal. 2022, 13903, 1–14. [Google Scholar] [CrossRef] [PubMed]
- Wu, H.-L.; Cheng, W.-C.; Shen, S.-L.; Lin, M.-Y.; Arulrajah, A. Variation of hydro-environment during past four decades with underground sponge city planning to control flash floods in Wuhan, China: An overview. Undergr. Space 2020, 5, 184–198. [Google Scholar] [CrossRef]
- Davids, P.; Thaler, T. Flood-resilient communities: How we can encourage adaptive behaviour through smart tools in public–private interaction. Urban Plan. 2021, 6, 272–282. [Google Scholar] [CrossRef]
- Cutter, S.L.; Boruff, B.J.; Shirley, W.L. Social Vulnerability to Environmental Hazards. Soc. Sci. Q. 2003, 84, 242–261. [Google Scholar] [CrossRef]
- Schmitt, T.G.; Scheid, C. Evaluation and communication of pluvial flood risks in urban areas. WIREs Water 2020, 7, e1401. [Google Scholar] [CrossRef] [Green Version]
- Yin, Q.; Ntim-Amo, G.; Xu, D.; Gamboc, V.K.; Ran, R.; Hu, J.; Tang, H. Flood disaster risk perception and evacuation willingness of urban households: The case of Accra, Ghana. Int. J. Disaster Risk Reduct. 2022, 78, 103126. [Google Scholar] [CrossRef]
- Wisner, B.; Blaikie, P.; Cannon, T.; Davis, I. At Risk: Natural Hazards, People’s Vulnerability and Disasters; Routledge: London, UK, 2014. [Google Scholar] [CrossRef]
- Adger, W.N.; Dessai, S.; Goulden, M.; Hulme, M.; Lorenzoni, I.; Nelson, D.R.; Naess, L.O.; Wolf, J.; Wreford, A. Are there social limits to adaptation to climate change? Clim. Change 2009, 93, 335–354. [Google Scholar] [CrossRef]
- Anderson, M.B.; Woodrow, P.J. Rising from the Ashes: Development Strategies in Times of Disaster; Routledge: New York, NY, USA, 1989. [Google Scholar] [CrossRef]
- Pelling, M. The Vulnerability of Cities: Natural Disasters and Social Resilience; Routledge: London, UK, 2003. [Google Scholar] [CrossRef]
- Wolf, S. Vulnerability and risk: Comparing assessment approaches. Nat. Hazards 2012, 61, 1099–1113. [Google Scholar] [CrossRef]
- Maskrey, A. Disaster Mitigation: A Community Based Approach; Oxfam GB: Oxford, UK, 1989. [Google Scholar]
- Azad, M.A.K.; Uddin, M.S.; Zaman, S.; Ashraf, M.A. Community-based Disaster Management and Its Salient Features: A Policy Approach to People-centred Risk Reduction in Bangladesh. Asia Pac. J. Rural Dev. 2019, 29, 135–160. [Google Scholar] [CrossRef]
- Barua, P.; Mitra, A.; Eslamian, S. Disaster management strategies and relation of good governance for the coastal Bangladesh. Environ. Resour. Econ. 2021, 3, 269–279. [Google Scholar] [CrossRef]
- Beck, U.; Lash, S.; Wynne, B. Risk Society: Towards a New Modernity; SAGE: London, UK, 1992; Volume 17. [Google Scholar] [CrossRef]
- Vinh Hung, H.; Shaw, R.; Kobayashi, M. Flood risk management for the RUA of Hanoi. Disaster Prev. Manag. 2007, 16, 245–258. [Google Scholar] [CrossRef]
- Songsore, J. The Complex Interplay between Everyday Risks and Disaster Risks: The Case of the 2014 Cholera Pandemic and 2015 Flood Disaster in Accra, Ghana. Int. J. Disaster Risk Reduct. 2017, 26, 43–50. [Google Scholar] [CrossRef]
- Frausto-Martínez, O.; Aguilar-Becerra, C.D.; Colín-Olivares, O.; Sánchez-Rivera, G.; Hafsi, A.; Contreras-Tax, A.F.; Uhu-Yam, W.D. COVID-19, storms, and floods: Impacts of tropical storm cristobal in the western sector of the Yucatan Peninsula, Mexico. Sustainability 2020, 12, 9925. [Google Scholar] [CrossRef]
- McWilliam, A.; Wasson, R.J.; Rouwenhorst, J.; Amaral, A.L. Disaster Risk Reduction, modern science and local knowledge: Perspectives from Timor-Leste. Int. J. Disaster Risk Reduct. 2020, 50, 101641. [Google Scholar] [CrossRef]
- Seddighi, H. Trust in Humanitarian Aid from the Earthquake in 2017 to COVID-19 in Iran: A Policy Analysis. Disaster Med. Public Health Prep. 2020, 14, e7–e10. [Google Scholar] [CrossRef] [Green Version]
- Shammi, M.; Bodrud-Doza, M.; Towfiqul Islam, A.R.M.; Rahman, M.M. COVID-19 pandemic, socioeconomic crisis and human stress in resource-limited settings: A case from Bangladesh. Heliyon 2020, 6, e04063. [Google Scholar] [CrossRef]
- Lawangen, A. Rural cooperatives in disaster risk reduction and management: Contributions and challenges. Disaster Prev. Manag. 2022, 31, 144–157. [Google Scholar] [CrossRef]
- McCarthy, S.; Tunstall, S.; Parker, D.; Faulkner, H.; Howe, J. Risk communication in emergency response to a simulated extreme flood. Environ. Hazards 2007, 7, 179–192. [Google Scholar] [CrossRef] [Green Version]
- Sansom, G.T.; Aarvig, K.; Sansom, L.; Thompson, C.; Fawkes, L.; Katare, A. Understanding Risk Communication and Willingness to Follow Emergency Recommendations Following Anthropogenic Disasters. Environ. Justice 2020, 14, 159–167. [Google Scholar] [CrossRef]
- Terpstra, T.; Lindell, M.K.; Gutteling, J.M. Does communicating (flood) risk affect (flood) risk perceptions? results of a quasi-experimental study. Risk Anal. 2009, 29, 1141–1155. [Google Scholar] [CrossRef]
- O’Sullivan, J.J.; Bradford, R.A.; Bonaiuto, M.; De Dominicis, S.; Rotko, P.; Aaltonen, J.; Waylen, K.; Langan, S.J. Enhancing flood resilience through improved risk communications. Nat. Hazards Earth Syst. Sci. 2012, 12, 2271–2282. [Google Scholar] [CrossRef]
- Kasperson, R. Four questions for risk communication. J. Risk Res. 2014, 17, 1233–1239. [Google Scholar] [CrossRef]
- Haer, T.; Botzen, W.J.W.; Aerts, J.C.J.H. The effectiveness of flood risk communication strategies and the influence of social networks-Insights from an agent-based model. Environ. Sci. Policy 2016, 60, 44–52. [Google Scholar] [CrossRef]
- Bubeck, P.; Kreibich, H.; Penning-Rowsell, E.C.; Botzen, W.J.W.; de Moel, H.; Klijn, F. Explaining differences in flood management approaches in Europe and in the USA—A comparative analysis. J. Flood Risk Manag. 2017, 10, 436–445. [Google Scholar] [CrossRef]
- Begg, C.; Callsen, I.; Kuhlicke, C.; Kelman, I. The role of local stakeholder participation in flood defence decisions in the United Kingdom and Germany. J. Flood Risk Manag. 2018, 11, 180–190. [Google Scholar] [CrossRef] [Green Version]
- Bergsma, E. The development of flood risk management in the United States. Environ. Sci. Policy 2019, 101, 32–37. [Google Scholar] [CrossRef]
- Bustillos Ardaya, A.; Evers, M.; Ribbe, L. Participatory approaches for disaster risk governance? Exploring participatory mechanisms and mapping to close the communication gap between population living in flood risk areas and authorities in Nova Friburgo Municipality, RJ, Brazil. Land Use Policy 2019, 88, 104103. [Google Scholar] [CrossRef]
- Engdahl, E.; Lidskog, R. Risk, communication and trust: Towards an emotional understanding of trust. Public Underst. Sci. 2014, 23, 703–717. [Google Scholar] [CrossRef]
- Guo, L.; He, B.; Ma, M.; Chang, Q.; Li, Q.; Zhang, K.; Hong, Y. A comprehensive flash flood defense system in China: Overview, achievements, and outlook. Nat. Hazards 2018, 92, 727–740. [Google Scholar] [CrossRef]
- Charmaz, K. Constructing Grounded Theory: A Practical Guide through Qualitative Analysis; SAGE: London, UK, 2006. [Google Scholar] [CrossRef]
- Liu, J.H.; Xu, H.; Qin, D.Y.; Wang, H.; Wang, J.H.; Li, H.H.; Bao, S.J. Water cycle evolution in the Haihe River Basin in the past 10,000 years. Chin. Sci. Bull. 2013, 58, 3312–3319. [Google Scholar] [CrossRef] [Green Version]
- Chen, L.; Huang, Y.-c.; Bai, R.-z.; Chen, A. Regional disaster risk evaluation of China based on the universal risk model. Nat. Hazards 2017, 89, 647–660. [Google Scholar] [CrossRef]
- Wells, J.; Labadz, J.C.; Smith, A.; Islam, M.M. Barriers to the uptake and implementation of natural flood management: A social-ecological analysis. J. Flood Risk Manag. 2020, 13, 12561. [Google Scholar] [CrossRef]
- Moore, S. The political economy of flood management reform in China. Int. J. Water Resour. Dev. 2018, 34, 566–577. [Google Scholar] [CrossRef]
- Bera, M.K.; Daněk, P. The perception of risk in the flood-prone area: A case study from the Czech municipality. Disaster Prev. Manag. 2018, 27, 2–14. [Google Scholar] [CrossRef]
- Walkling, B.; Haworth, B.T. Flood risk perceptions and coping capacities among the retired population, with implications for risk communication: A study of residents in a north Wales coastal town, UK. Int. J. Disaster Risk Reduct. 2020, 51, 101793. [Google Scholar] [CrossRef] [PubMed]
- Fitzpatrick, T. 3-Community Disaster Resilience. In Disasters and Public Health, 2nd ed.; Clements, B.W., Casani, J.A.P., Eds.; Butterworth-Heinemann: Oxford, UK, 2016; pp. 57–85. [Google Scholar] [CrossRef]
- Bradford, R.A.; O’Sullivan, J.J.; van der Craats, I.M.; Krywkow, J.; Rotko, P.; Aaltonen, J.; Bonaiuto, M.; De Dominicis, S.; Waylen, K.; Schelfaut, K. Risk perception-issues for flood management in Europe. Nat. Hazards Earth Syst. Sci. 2012, 12, 2299–2309. [Google Scholar] [CrossRef]
- Charalambous, K.; Bruggeman, A.; Giannakis, E.; Zoumides, C. Improving Public Participation Processes for the Floods Directive and Flood Awareness: Evidence from Cyprus. Water 2018, 10, 958. [Google Scholar] [CrossRef] [Green Version]
- Hügel, S.; Davies, A.R. Public participation, engagement, and climate change adaptation: A review of the research literature. WIREs Clim. Change 2020, 11, e645. [Google Scholar] [CrossRef] [Green Version]
- Cori, L.; Bianchi, F.; Sprovieri, M.; Cuttitta, A.; Ruggieri, S.; Alessi, A.L.; Biondo, G.; Gorini, F. Communication and Community Involvement to Support Risk Governance. Int. J. Environ. Res. Public Health 2019, 16, 4356. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Samaddar, S.; Okada, N.; Choi, J.; Tatano, H. What constitutes successful participatory disaster risk management? Insights from post-earthquake reconstruction work in rural Gujarat, India. Nat. Hazards 2017, 85, 111–138. [Google Scholar] [CrossRef]
- McClymont, K.; Morrison, D.; Beevers, L.; Carmen, E. Flood resilience: A systematic review. J. Environ. Plan. Manag. 2020, 63, 1151–1176. [Google Scholar] [CrossRef] [Green Version]
- Few, R.; Brown, K.; Tompkins, E.L. Public participation and climate change adaptation: Avoiding the illusion of inclusion. Clim. Policy 2007, 7, 46–59. [Google Scholar] [CrossRef]
- Cassel, M.A.; Hinsberger, M. Flood partnerships: A participatory approach to develop and implement the Flood Risk Management Plans. J. Flood Risk Manag. 2017, 10, 164–172. [Google Scholar] [CrossRef]
- Forrest, S.A.; Trell, E.-M.; Woltjer, J. Emerging citizen contributions, roles and interactions with public authorities in Dutch pluvial flood risk management. Int. J. Water Resour. Dev. 2021, 37, 1–23. [Google Scholar] [CrossRef]
Serial No. | Flood Risk | Description of Vulnerability | Population (Thousands) |
---|---|---|---|
GZ | Urban waterlogging |
| 9.2 |
NST | Urban waterlogging |
| 12 |
PS | Urban waterlogging and river flooding (Hutuo River) |
| 3.0 |
JX | Urban waterlogging and flash floods |
| 2.1 |
Variable | Group | n | %a |
---|---|---|---|
Gender | Female | 19 | 56 |
Male | 15 | 44 | |
Age | 27–29 | 3 | 9 |
30–39 | 6 | 18 | |
40–49 | 16 | 47 | |
50–54 | 9 | 26 | |
Principal Area of Professional Discipline | Communication and Community Engagement | 13 | 38 |
Sociology | 3 | 9 | |
Economic Development | 2 | 6 | |
Science of Meteorology | 2 | 6 | |
Others b | 14 | 41 | |
Years of Participation in Community Management | 0–1 year | 5 | 15 |
2–10 years | 21 | 62 | |
11–18 years | 8 | 24 | |
Past Working Experience in Urban Flood Emergencies | 0 events | 7 | 21 |
1 event | 5 | 15 | |
2 events | 9 | 26 | |
3–8 events | 7 | 21 | |
8+ events | 6 | 18 |
No. | Open Codes | Sources | No. | Open Codes | Sources | No. | Open Codes | Sources |
---|---|---|---|---|---|---|---|---|
1 | Action guide utilization | 8 | 17 | Face-to-face communication | 4 | 33 | Other threats stronger than flooding | 6 |
2 | Appealing power | 2 | 18 | Flat knowledge transfer | 3 | 34 | Policy sensitivity | 4 |
3 | Arrogance of risk professionals | 8 | 19 | Ignorance of disasters | 12 | 35 | Poor access to information | 2 |
4 | Bottom-up knowledge feedback | 7 | 20 | Improved livelihoods | 5 | 36 | Poverty reduction | 11 |
5 | Changed risk attitude | 3 | 21 | Inculcation of knowledge | 1 | 37 | Reaction speed | 3 |
6 | Collective decision making | 8 | 22 | Insurance demand | 10 | 38 | Reciprocity | 9 |
7 | Community consensus | 10 | 23 | Lack of disaster prevention resources | 5 | 39 | Resident volunteer participation | 8 |
8 | Community lockdown | 9 | 24 | Legal gaps | 1 | 40 | Risk conceptual framework | 2 |
9 | Community norms | 12 | 25 | Local culture | 1 | 41 | Sense brought by scenario | 3 |
10 | Conflict with grassroots government | 4 | 26 | Location based experience | 1 | 42 | Stakeholder communication | 6 |
11 | Cross-border knowledge transfer | 12 | 27 | Marginalized groups | 7 | 43 | Structured resilience enhancement | 6 |
12 | De-labeling | 11 | 28 | Mitigation practices | 10 | 44 | Technology diffusion | 4 |
13 | Difficulty in understanding publicity | 12 | 29 | Mutual aid for disaster reduction | 7 | 45 | Temporary expert effect | 10 |
14 | Emergency response | 7 | 30 | Neighborhood relations | 9 | 46 | Transparency in collective decision making | 12 |
15 | Emotion regulation process | 10 | 31 | Opinion leaders | 5 | 47 | trust | 8 |
16 | Epidemic control | 4 | 32 | Optimization of online communication methods | 12 | 48 | Update of knowledge | 1 |
Core Categories | Refined Categories | Open Codes |
---|---|---|
Creating new, solid social networks | Focus on livelihoods | Improved livelihoods, Opinion leaders, Poverty reduction, Emotion regulation process, Community lockdown, Poor access to information, Epidemic control, Marginalized groups. |
Community integration | Trust, Reciprocity, Local culture, Optimization of online communication methods, Neighborhood relations, De-labeling, Face-to-face communication, Community norms, Difficulty in understanding publicity, Flat knowledge transfer. | |
Integrating risk perceptions | Change in attitude | Changed risk attitude, Cross-border knowledge transfer, Sense brought by scenario, Ignorance of disasters, Other threats stronger than flooding. |
Knowledge reorganization | Location-based experience, Inculcation of knowledge, Update of knowledge, Action guide utilization, Risk conceptual framework | |
Communication channels | Bottom-up knowledge feedback, Arrogance of risk professionals, Temporary expert effect, Resident volunteer participation, Conflict with grassroots government. | |
Reconstructing community resilience | Ex-ante mitigation decisions | Collective decision making, Structured resilience enhancement, Mitigation practices, Technology diffusion, Community consensus, Insurance demand, Policy sensitivity, Stakeholder communication, Lack of disaster prevention resources, Transparency in collective decision making, Legal gaps. |
Flooding response | Emergency response, Mutual aid for disaster reduction, Reaction speed, Appealing power. |
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Li, Q.; Lin, Y. How Can Community-Based Organizations Improve Flood Risk Communication? A Case Study of China Based on Grounded Theory. Systems 2023, 11, 53. https://doi.org/10.3390/systems11020053
Li Q, Lin Y. How Can Community-Based Organizations Improve Flood Risk Communication? A Case Study of China Based on Grounded Theory. Systems. 2023; 11(2):53. https://doi.org/10.3390/systems11020053
Chicago/Turabian StyleLi, Qiang, and Yi Lin. 2023. "How Can Community-Based Organizations Improve Flood Risk Communication? A Case Study of China Based on Grounded Theory" Systems 11, no. 2: 53. https://doi.org/10.3390/systems11020053
APA StyleLi, Q., & Lin, Y. (2023). How Can Community-Based Organizations Improve Flood Risk Communication? A Case Study of China Based on Grounded Theory. Systems, 11(2), 53. https://doi.org/10.3390/systems11020053