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The Resilience of a Resettled Flood-Prone Community: An Application of the RABIT Framework in Pasig City, Metro Manila

Author

Listed:
  • Nikko Torres Ner

    (Division of Global Architecture, Graduate School of Engineering, Osaka University, Suita 565-0871, Osaka, Japan)

  • Seth Asare Okyere

    (School of Landscape Architecture and Planning, University of Arizona, Tucson, AZ 85721, USA)

  • Matthew Abunyewah

    (The Australasian Centre for Resilience Implementation for Sustainable Communities, Charles Darwin University, Darwin, NT 0810, Australia)

  • Louis Kusi Frimpong

    (Department of Geography and Earth Science, University of Environment and Sustainable Development, PMB, Somanya EY0329-2478, Eastern Region, Ghana)

  • Michihiro Kita

    (Division of Global Architecture, Graduate School of Engineering, Osaka University, Suita 565-0871, Osaka, Japan)

Abstract

Resilience measurement is an emerging topic in the field of disaster risk reduction. However, its application in Global South cities has proven to be a challenge due to the uniqueness of southern urbanisms and data challenges. As a result, the Resilience Benchmarking Assessment and Impact Toolkit (RABIT) framework has recently been developed to support resilience assessment in informal, marginalized, and disaster-prone contexts of southern cities. This paper asserts the relevance of the RABIT framework and uses it to assess the resilience of Manggahan residences, a resettled marginalized community in Pasig City, Metro Manila. Drawing on a quantitative approach and using exploratory factor analysis (EFA), the study revealed that scale, robustness, and learning attributes of the RABIT framework are strong contributors to the community’s resilience. Self-organization, diversity, and redundancy have similar levels of contribution. Equality and rapidity were found to have the weakest relative contribution. The study findings emphasize the need to view resilience in resettled communities holistically and adopt an integrated and comprehensive approach that considers the multiple aspects of everyday life to proactively build adaptive and future resilient capacities.

Suggested Citation

  • Nikko Torres Ner & Seth Asare Okyere & Matthew Abunyewah & Louis Kusi Frimpong & Michihiro Kita, 2023. "The Resilience of a Resettled Flood-Prone Community: An Application of the RABIT Framework in Pasig City, Metro Manila," Sustainability, MDPI, vol. 15(8), pages 1-23, April.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:8:p:6953-:d:1128536
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    References listed on IDEAS

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    1. Berkes, Fikret & Ross, Helen, 2016. "Panarchy and community resilience: Sustainability science and policy implications," Environmental Science & Policy, Elsevier, vol. 61(C), pages 185-193.
    2. Laura A. Bakkensen & Cate Fox‐Lent & Laura K. Read & Igor Linkov, 2017. "Validating Resilience and Vulnerability Indices in the Context of Natural Disasters," Risk Analysis, John Wiley & Sons, vol. 37(5), pages 982-1004, May.
    3. Joanna Wilkin & Eloise Biggs & Andrew J Tatem, 2019. "Measurement of Social Networks for Innovation within Community Disaster Resilience," Sustainability, MDPI, vol. 11(7), pages 1-16, April.
    4. Jianxi Gao & Baruch Barzel & Albert-László Barabási, 2016. "Erratum: Universal resilience patterns in complex networks," Nature, Nature, vol. 536(7615), pages 238-238, August.
    5. Jianxi Gao & Baruch Barzel & Albert-László Barabási, 2016. "Universal resilience patterns in complex networks," Nature, Nature, vol. 530(7590), pages 307-312, February.
    6. Susanne Moser & Sara Meerow & James Arnott & Emily Jack-Scott, 2019. "The turbulent world of resilience: interpretations and themes for transdisciplinary dialogue," Climatic Change, Springer, vol. 153(1), pages 21-40, March.
    7. Sahar Derakhshan & Leah Blackwood & Margot Habets & Julia F. Effgen & Susan L. Cutter, 2022. "Prisoners of Scale: Downscaling Community Resilience Measurements for Enhanced Use," Sustainability, MDPI, vol. 14(11), pages 1-15, June.
    8. Angelos Pantouvakis & Evangelos Psomas, 2016. "Exploring total quality management applications under uncertainty: A research agenda for the shipping industry," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 18(4), pages 496-512, December.
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