IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v18y2026i5p2346-d1874543.html

Mapping Climate–Health Vulnerabilities in Indonesian Coastal Cities Using Socio-Economic and Satellite Data

Author

Listed:
  • Rina Suryani Oktari

    (Tsunami & Disaster Mitigation Research Center (TDMRC), Doctoral Program in Disaster Science, and Department of Family Medicine, Faculty of Medicine, Universitas Syiah Kuala, Banda Aceh 23111, Indonesia)

  • Nasliati

    (Core Science Indonesia, Jakarta 13120, Indonesia
    Department of Statistics, Faculty of Science and Technology, Universitas Terbuka, Jakarta 13120, Indonesia)

  • Cicely Nurse

    (School of Medicine and Dentistry, Griffith University, Gold Coast, QLD 4222, Australia)

  • Connie Cai Ru Gan

    (School of Medicine and Dentistry, Griffith Institute for Human and Environmental Resilience, Griffith University, Gold Coast, QLD 4222, Australia)

Abstract

Coastal societies face increasing health risks from climate change, such as weather-related extreme conditions, environmental destruction, and the occurrence of epidemics, posing significant challenges to sustainable development. There is a need to accurately measure the risks in place through integrating the climate variability with socio-economic exposure and health components to support long-term resilience and sustainable adaptation. This study conceptualized and validated a composite index-based method to assess climate–health risks across three Indonesian coastal cities: Banda Aceh, Mataram, and Ambon. This validation process was conducted by checking for face validity and consistency between sub-indices, as well as conformity to existing frameworks in the literature. Using satellite-derived climate data, national socio-economic statistics, and public health records, we identified the key parameters (hazard, sensitivity, exposure, and adaptive capacity) and quantified the risk levels for 190 villages. The results show that over 92% of villages fall into the high or very high risk categories, with universal high sensitivity and low adaptive capacity (78.95%). This points towards structural inequalities that hinder sustainable development. Spatial and quadrant analyses revealed region-specific vulnerabilities where Ambon showed higher hazard exposure (56% high and 42% very high). The findings provide policymakers and stakeholders with priority areas for targeted interventions and actionable suggestions to support public health planning, equitable resource allocation, and long-term sustainable coastal development.

Suggested Citation

  • Rina Suryani Oktari & Nasliati & Cicely Nurse & Connie Cai Ru Gan, 2026. "Mapping Climate–Health Vulnerabilities in Indonesian Coastal Cities Using Socio-Economic and Satellite Data," Sustainability, MDPI, vol. 18(5), pages 1-21, February.
  • Handle: RePEc:gam:jsusta:v:18:y:2026:i:5:p:2346-:d:1874543
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/18/5/2346/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/18/5/2346/
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:18:y:2026:i:5:p:2346-:d:1874543. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.