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A multi-criteria evaluation model of earthquake vulnerability in Victoria, British Columbia

Author

Listed:
  • Blake Walker
  • Cameron Taylor-Noonan
  • Alan Tabbernor
  • T’Brenn McKinnon
  • Harsimran Bal
  • Dan Bradley
  • Nadine Schuurman
  • John Clague

Abstract

Researchers have recently examined the geographic variability of the vulnerability of populations to earthquakes. These studies focus mainly on the complex modelling of geophysical processes or identification of socio-economically disadvantaged populations. However, no studies to date have integrated different components of vulnerability with metrics of travel distance to hospitals and trauma centres (systemic vulnerability). We argue that this previously unaccounted component is an important conceptual and practical aspect of earthquake vulnerability. Accordingly, this paper presents a multi-criteria model for combining physical, social, and systemic components, moving towards a more comprehensive assessment of vulnerability. An analytic hierarchy process is used to produce a place-specific index of social vulnerability, which we combine with soil liquefaction and amplification index and a road network model for access to hospitals and trauma services. Using a geographic information system, we implemented this model for the Greater Victoria region (483 km 2 , 2011 population: 345,000) in British Columbia, Canada. Clustering of total vulnerability was found in outlying areas, highlighting the importance of access to trauma centres. We conclude by identifying challenges in measuring earthquake vulnerability and advocate integration of systemic vulnerability components in natural hazards research. Copyright Springer Science+Business Media Dordrecht 2014

Suggested Citation

  • Blake Walker & Cameron Taylor-Noonan & Alan Tabbernor & T’Brenn McKinnon & Harsimran Bal & Dan Bradley & Nadine Schuurman & John Clague, 2014. "A multi-criteria evaluation model of earthquake vulnerability in Victoria, British Columbia," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 74(2), pages 1209-1222, November.
  • Handle: RePEc:spr:nathaz:v:74:y:2014:i:2:p:1209-1222
    DOI: 10.1007/s11069-014-1240-2
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    5. Yuxin Gao & Xianrui Yu & Menghao Xi & Qiuhong Zhao, 2023. "Assessment of Vulnerability Caused by Earthquake Disasters Based on DEA: A Case Study of County-Level Units in Chinese Mainland," Sustainability, MDPI, vol. 15(9), pages 1-15, May.
    6. Contreras, Diana & Bhamidipati, Srirama & Wilkinson, Sean, 2023. "Social vulnerability and spatial inequality in access to healthcare facilities: The case of the Santiago Metropolitan Region (RMS), Chile," Socio-Economic Planning Sciences, Elsevier, vol. 90(C).
    7. Jihye Han & Soyoung Park & Seongheon Kim & Sanghun Son & Seonghyeok Lee & Jinsoo Kim, 2019. "Performance of Logistic Regression and Support Vector Machines for Seismic Vulnerability Assessment and Mapping: A Case Study of the 12 September 2016 ML5.8 Gyeongju Earthquake, South Korea," Sustainability, MDPI, vol. 11(24), pages 1-19, December.
    8. Karen L. Flores & Christian R. Escudero & Araceli Zamora-Camacho, 2021. "Multicriteria seismic hazard assessment in Puerto Vallarta metropolitan area, Mexico," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 105(1), pages 253-275, January.
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