The Relationship of Community Risk Perception of Climatic Disaster Towards the Intention to Participate in Flood Prevention Activities
DOI:
https://doi.org/10.58915/aset.v4i2.2694Keywords:
Climate change adaptation, Community participation, Flood risk management, Risk perception, Theory of planned behaviourAbstract
Climate change is highly likely to influence riverine flood hazards, leading to a general increase in flood risks. According to the report, many individuals have experienced losses due to flooding, yet some plan to take action to mitigate this risk. This study aims to identify the determinants influencing people’s behavior, specifically focusing on the most influential risk perceptions within the community regarding their intention to participate in flood prevention activities. This objective is approached through the application of the Health Belief Model (HBM) and the Theory of Planned Behaviour (TPB). A survey questionnaire was administered to 343 residents of Parit Raja, Johor, and the data were analysed using correlation analysis. The results revealed positive relationships among the variables, with the perceived benefits of flood management emerging as the most influential determinant of community risk perception. Furthermore, the study recommends future research in urban areas to achieve more comprehensive outcomes. The findings from this research provide valuable insights for better addressing climate-related calamities, implementing flood mitigation measures, and protecting the ecosystem.
References
[1] Eckstein, D., Kunzel, V., & Schafer, L. Global Climate Risk Index 2021 (2021).
[2] Gates, B. GatesNotes.
[3] Marthews, T. R., et al. The Impact of Human-Induced Climate Change on RegionalDrought in the Horn of Africa. Journal of Geophysical Research: Atmospheres, vol 124, issue 8 (2019), pp. 4349-4366.
[4] Relief Web. Malaysia, Flooding in Sabah, Pahang, and Johor (24 Jan 2023) (2023).
[5] Amin, F., Luxmi, S., Ali, F., & Fareeduddin, M. Flood 2022 in Pakistan: Managing medical flood relief camps in a developing country. Journal of Family Medicine and Primary Care, vol 12, issue 2 (2023), pp. 416-419.
[6] Noor Diyana, F. A., Fakhru’L-Razi, A., Aini, M. S., Ahmad Azan, R., & Mohd Muhaimin, R. W. Community preparedness to flood disaster in Johor, Malaysia. IOP Conference Series: Earth and Environmental Science, vol 476 (2020), Article 012111.
[7] Paton, D. Disaster resilience: an integrated approach (2017).
[8] Thornley, L., Ball, J., Signal, L., Lawson-Te Aho, K., & Rawson, E. Building community resilience: learning from the Canterbury earthquakes. Kotuitui, vol 10, issue 1 (2015), pp. 23-34.
[9] Abdul Rahman, H. COMMUNITY BASED APPROACH TOWARDS DISASTER MANAGEMENT IN MALAYSIA. Asian Journal of Environment, vol 2, issue 2 (2018), pp. 20-28.
[10] Miller, K. E. Student Attitude and Action Regarding the Single-Use Plastic Shopping Bag on the University of Alabama Campus (2011).
[11] Masud, M. M., Sackor, A. S., Ferdous Alam, A. S. A., Al-Amin, A. Q., & Abdul Ghani, A. B. Community responses to flood risk management – An empirical Investigation of the Marine Protected Areas (MPAs) in Malaysia. Marine Policy, vol 97 (2018), pp. 1-8.
[12] Panwar, V., & Sen, S. Economic Impact of Natural Disasters: An Empirical Re-examination. Margin, vol 13, issue 1 (2019), pp. 85-108.
[13] Feng, Z. Y., Wang, C. W., & Lu, Y. H. The impact of climatic disaster on corporate investment policy. Journal of Multinational Financial Management, vol 66 (2022), Article 100767.
[14] Tan, Y., et al. Seismogenesis of the 2021 Mw 7.1 earthquake sequence near the northeastern Japan revealed by double-difference seismic tomography. Earth and Planetary Science Letters, vol 594 (2022), Article 117709.
[15] Haliza, A. R. Global climate change and its effects on human habitat and environment in Malaysia. Malaysian Journal of Environmental Management, vol 10, issue 2 (2009), pp. 3-18.
[16] Bin Khalid, M. S., & Shafiai, S. B. Flood Disaster Management in Malaysia: An Evaluation of the Effectiveness Flood Delivery System. International Journal of Social Science and Humanity, vol 5, issue 4 (2015), pp. 396-400.
[17] Othman, M., Ahmad, M. N., Suliman, A., Arshad, N. H., & Maidin, S. S. COBIT principles to govern flood management. International Journal of Disaster Risk Reduction, vol 9 (2014), pp. 1-11.
[18] Malaymail. 70 spots along Malaysia’s coastline highly vulnerable due to coastal erosion (2022).
[19] Kellens, W., Zaalberg, R., Neutens, T., Vanneuville, W., & De Maeyer, P. An Analysis of the Public Perception of Flood Risk on the Belgian Coast. Risk Analysis, vol 31, issue 7 (2011), pp. 1058-1076.
[20] Burnside, R., Miller, D. M. S., & Rivera, J. D. The impact of information and risk perception on the Hurricane evacuation decision-making of greater New Orleans residents. Sociological Spectrum, vol 27, issue 6 (2007), pp. 727-746.
[21] Liu, D., Li, Y., Shen, X., Xie, Y., & Zhang, Y. Flood risk perception of rural households in western mountainous regions of Henan Province, China. International Journal of Disaster Risk Reduction, vol 27 (2018), pp. 103-111.
[22] Kellens, W., Terpstra, T., & De Maeyer, P. Perception and Communication of Flood Risks: A Systematic Review of Empirical Research. Risk Analysis, vol 33, issue 1 (2013), pp. 28-49.
[23] Qasim, S., Nawaz Khan, A., Shrestha, R. P., & Qasim, M. Risk perception of the people in the flood prone Khyber Pukhthunkhwa province of Pakistan. International Journal of Disaster Risk Reduction, vol 14 (2015), pp. 412-419.
[24] Buchecker, M., Salvini, G., Di Baldassarre, G., Semenzin, E., Maidl, E., & Marcomini, A. The role of risk perception in making flood risk management more effective. Natural Hazards and Earth System Sciences, vol 13, issue 11 (2013), pp. 3085-3101.
[25] Stoutenborough, J. W., Sturgess, S. G., & Vedlitz, A. Knowledge, risk, and policy support: Public perceptions of nuclear power. Energy Policy, vol 62 (2013), pp. 364-373.
[26] Khan, I., et al. Farm households’ risk perception, attitude and adaptation strategies in dealing with climate change: Promise and perils from rural Pakistan. Land use policy, vol 91 (2020), Article 104337.
[27] Al-Amin, A. Q., Nagy, G. J., Masud, M. M., Filho, W. L., & Doberstein, B. Evaluating the impacts of climate disasters and the integration of adaptive flood risk management. International Journal of Disaster Risk Reduction, vol 39 (2019), Article 101235.
[28] Kim, S., et al. Analyzing the role of resource factors in citizens’ intention to pay for and participate in disaster management. Sustainability (Switzerland), vol 12, issue 8 (2020), Article 3328.
[29] McDowell, C. P., Andrade, L., Re, V., O’dwyer, J., Hynds, P. D., & O’neill, E. Exploring risk perception and behaviours at the intersection of flood events and private groundwater supplies: A qualitative focus group study. Water (Switzerland), vol 13, issue 23 (2021), Article 3354.
[30] Carpenter, C. J. A meta-analysis of the effectiveness of health belief model variables in predicting behavior. Health Communication, vol 25, issue 8 (2010), pp. 661-673.
[31] Simon, K. J., & Das, A. An Application of the Health Belief Model Toward Educational Diagnosis for VD Education. Health Education & Behavior, vol 11, issue 4 (1984), pp. 407-418.
[32] Ejeta, L. T., Ardalan, A., Paton, D., & Yaseri, M. Predictors of community preparedness for flood in Dire-Dawa town, Eastern Ethiopia: Applying adapted version of Health Belief Model. International Journal of Disaster Risk Reduction, vol 19 (2016), pp. 154-161.
[33] Ajzen, I. The Theory of Planned Behavior. Organizational Behavior and Human Decision Processes, vol 50, issue 2 (1991), pp. 179-211.
[34] Siqueira, M. S. S., Nascimento, P. O., & Freire, A. P. Reporting Behaviour of People with Disabilities in relation to the Lack of Accessibility on Government Websites: Analysis in the light of the Theory of Planned Behaviour. Disability, CBR and Inclusive Development, vol 33, issue 1 (2022), pp. 74-90.
[35] Pakpour, A. H., Zeidi, I. M., Emamjomeh, M. M., Asefzadeh, S., & Pearson, H. Household waste behaviours among a community sample in Iran: An application of the theory of planned behaviour. Waste Management, vol 34, issue 6 (2014), pp. 980-986.
[36] Kurata, Y. B., Prasetyo, Y. T., Ong, A. K. S., Nadlifatin, R., & Chuenyindee, T. Factors affecting perceived effectiveness of Typhoon Vamco (Ulysses) flood disaster response among Filipinos in Luzon, Philippines: An integration of protection motivation theory and extended theory of planned behavior. International Journal of Disaster Risk Reduction, vol 67 (2022), Article 102633.
[37] Mostofsky, D. I. The handbook of behavioral medicine (2014). [Book, no page numbers]
[38] Orji, R., Vassileva, J., & Mandryk, R. Towards an Effective Health Interventions Design: An Extension of the Health Belief Model. Online Journal of Public Health Informatics, vol 4, issue 3 (2012), Article e1.
[39] Mhd Noor, M. T., et al. Facing flood disaster: A cluster randomized trial assessing communities’ knowledge, skills and preparedness utilizing a health model intervention. PLoS One, vol 17, issue 11 (2022), Article e0277884.
[40] Akompab, D. A., Bi, P., Williams, S., Grant, J., Walker, I. A., & Augoustinos, M. Heat waves and climate change: Applying the health belief model to identify predictors of risk perception and adaptive behaviours in Adelaide, Australia. International Journal of Environmental Research and Public Health, vol 10, issue 6 (2013), pp. 2390-2409.
[41] Krejcie, R. V., & Morgan, D. W. Determining Sample Size for Research Activities. Educational and Psychological Measurement, vol 30, issue 3 (1970), pp. 607-610.
[42] Dasci Sonmez, E., & Gokmenoglu, T. Understanding the teachers’ disaster preparedness beliefs. International Journal of Disaster Risk Reduction, vol 85 (2023), Article 103525.
[43] Rana, I. A., Jamshed, A., Younas, Z. I., & Bhatti, S. S. Characterizing flood risk perception in urban communities of Pakistan. International Journal of Disaster Risk Reduction, vol 46 (2020), Article 101489.
[44] Ngo, C. C., Poortvliet, P. M., & Feindt, P. H. Drivers of flood and climate change risk perceptions and intention to adapt: an explorative survey in coastal and delta Vietnam. Journal of Risk Research, vol 23, issue 4 (2020), pp. 411-427.
[45] Wolka, K., Biazin, B., Getachew, F., Girma, F., & Desta, G. Towards sustainable watershed-based landscape restoration in degraded drylands: Perceived benefits and innovative pathways learnt from project-based interventions in Ethiopia. Journal of Environmental Management, vol 335 (2023), Article 117565.
[46] Shahangian, S. A., Tabesh, M., Yazdanpanah, M., Zobeidi, T., & Raoof, M. A. Promoting the adoption of residential water conservation behaviors as a preventive policy to sustainable urban water management. Journal of Environmental Management, vol 313 (2022), Article 115006.
[47] Fuchs, S., Karagiorgos, K., Kitikidou, K., Maris, F., Paparrizos, S., & Thaler, T. Flood risk perception and adaptation capacity: A contribution to the socio-hydrology debate. Hydrology and Earth System Sciences, vol 21, issue 6 (2017), pp. 3095-3111.
[48] Whitmarsh, L. Are flood victims more concerned about climate change than other people? the role of direct experience in risk perception and behavioural response. Journal of Risk Research, vol 11, issue 3 (2008), pp. 351-374.
[49] Duží, B., Vikhrov, D., Kelman, I., Stojanov, R., & Juřička, D. Household measures for river flood risk reduction in the Czech Republic. Journal of Flood Risk Management, vol 10, issue 2 (2017), pp. 155-169.
[50] Ridzuan, M. R. Flood Preparedness Intention Among Pahang Residents: An Extension Of The Theory Of Planned. Journal of Academia, vol 11, issue 2 (2023) pp. 11–19.
[51] Dawadi, S., Shrestha, S., & Giri, R. A. Mixed-Methods Research: A Discussion on its Types, Challenges, and Criticisms. Journal of Practical Studies in Education, vol 2, issue 2 (2021), pp. 6-11.
[52] Huang, X., Dai, S., & Xu, H. Predicting tourists’ health risk preventative behaviour and travelling satisfaction in Tibet: Combining the theory of planned behaviour and health belief model. Tourism Management Perspectives, vol 33 (2020), Article 100589.




