Lived Realities of Residents in a Disaster-Prone Community of Tacloban City: A Phenomenological Exploration
DOI:
https://doi.org/10.5281/zenodo.19245272Keywords:
lived realities, disaster-prone community, phenomenology, disaster preparedness, coping strategies, Tacloban CityAbstract
This study explored the lived realities of residents in a disaster-prone community in Tacloban City, focusing on their daily experiences, challenges, and coping strategies amidst recurring natural hazards. Using a qualitative phenomenological approach, the research aimed to understand how residents interpret and navigate the emotional, social, and economic impacts of living in a high-risk environment. Through in-depth interviews with selected participants, the researchers gathered detailed accounts describing constant fear, anxiety, and uncertainty related to threats of property damage, livelihood loss, and personal safety. The findings revealed that residents face long-term exposure to disaster risks, compounded by limited financial resources, unstable livelihoods, and dependence on external assistance. Despite these challenges, participants demonstrated resilience through preparedness practices such as monitoring weather updates, preparing emergency supplies, coordinating with family members, and cooperating with the community. Their narratives highlighted how repeated disaster experiences shape their daily decision-making, emotional well-being, and adaptive strategies. The study concludes that the lived experiences of residents are deeply influenced by the intersection of environmental hazards and socioeconomic vulnerability. Strengthening disaster preparedness programs, improving support systems, and developing responsive policies are essential to addressing these conditions. This research provides valuable insights for local leaders, policymakers, and future scholars seeking to better understand and support disaster-prone communities.
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References
Adger, W. N. (2000). Social and ecological resilience: Are they related? Progress in Human Geography, 24(3), 347–364. https://doi.org/10.1191/030913200701540465
Arcaya, M. C., Raker, E. J., & Waters, M. C. (2020). The social consequences of disasters: Individual and community change. Annual Review of Sociology, 46, 671–691. https://doi.org/10.1146/annurev-soc-121919-054827
Barredo, J. I. (2020). Vulnerability and resilience of urban communities affected by Typhoon Haiyan in Tacloban City, Philippines. International Journal of Disaster Risk Reduction, 46, 101490. https://doi.org/10.1016/j.ijdrr.2020.101490
Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. https://doi.org/10.1191/1478088706qp063oa
Builes-Jaramillo, A., Zuluaga, M., & López, J. (2025). Social vulnerability and disaster recovery: Examining inequalities in post-disaster reconstruction. International Journal of Disaster Risk Reduction, 109, 104349.
Chowdhury, M. R., Haque, M. A., & Hossain, M. S. (2022). Psychological impacts of cyclone disasters on women living in coastal Bangladesh. International Journal of Disaster Risk Reduction, 74, 102915. https://doi.org/10.1016/j.ijdrr.2022.102915
Creswell, J. W. (2013). Qualitative inquiry and research design: Choosing among five approaches (3rd ed.). SAGE Publications.
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. https://doi.org/10.1016/j.gloenvcha.2008.07.013
Dales, M., Thomalla, F., & Glantz, M. H. (2020). Community-based disaster risk management and the role of local participation in disaster preparedness. International Journal of Disaster Risk Science, 11(3), 295–306.
Dales, M., Thomalla, F., & Glantz, M. H. (2021). Community participation and resilience building in disaster risk reduction. International Journal of Disaster Risk Science, 12(2), 214–227.
Holling, C. S. (1973). Resilience and stability of ecological systems. Annual Review of Ecology and Systematics, 4, 1–23. https://doi.org/10.1146/annurev.es.04.110173.000245
Husserl, E. (1970). The crisis of European sciences and transcendental phenomenology. Northwestern University Press.Internet Geography. (2025). Typhoon Haiyan (Yolanda) case study. https://www.internetgeography.net
Mangada, L. L., & Cuaton, G. P. (2022). Typhoon Haiyan survivors at the resettlement sites: COVID-19 pandemic realities and challenges. Dialogues in Health, 1, 100005. https://doi.org/10.1016/j.dialog.2022.100005
Masten, A. S. (2014). Ordinary magic: Resilience in development. Guilford Press.
Moustakas, C. (1994). Phenomenological research methods. SAGE Publications.
Nguyễn, T. T., Shaw, R., & Takeuchi, Y. (2023). Social capital and community resilience in disaster preparedness and recovery. International Journal of Disaster Risk Reduction, 87, 103546. https://doi.org/10.1016/j.ijdrr.2023.103546
Norris, F. H., Stevens, S. P., Pfefferbaum, B., Wyche, K. F., & Pfefferbaum, R. L. (2008). Community resilience as a metaphor, theory, set of capacities, and strategy for disaster readiness. American Journal of Community Psychology, 41(1–2), 127–150. https://doi.org/10.1007/s10464-007-9156-6
Paton, D., & Johnston, D. (2001). Disasters and communities: Vulnerability, resilience and preparedness. Disaster Prevention and Management, 10(4), 270–277. https://doi.org/10.1108/EUM0000000005930
Philippine Star. (2013, November 11). 4.4 million people left homeless after Typhoon Yolanda. https://www.philstar.com
Tacloban City Government. (2018). Tacloban City socio-economic profile. City Planning and Development Office.
Tacloban City Government. (2025). Tacloban City disaster risk profile and geographic vulnerability report. Tacloban City Government.
Wisner, B., Blaikie, P., Cannon, T., & Davis, I. (2004). At risk: Natural hazards, people’s vulnerability and disasters (2nd ed.). Routledge.
Xu, J., Shi, P., & Liu, J. (2024). Infrastructure resilience and disaster risk reduction in coastal communities. International Journal of Disaster Risk Reduction, 98, 104085. https://doi.org/10.1016/j.ijdrr.2024.104085
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