Confirmatory factor analysis of vulnerability to natural hazards: A household Vulnerability Assessment in Marinduque Island, Philippines
| Autor: | Delia B. Senoro, Josephine D. German, Rex Aurelius C. Robielos, Yogi Tri Prasetyo, Froilan P. Ney |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
021110 strategic
defence & security studies Adaptive capacity 010504 meteorology & atmospheric sciences Vulnerability index media_common.quotation_subject 0211 other engineering and technologies Vulnerability Geology 02 engineering and technology Building and Construction Geotechnical Engineering and Engineering Geology 01 natural sciences Confirmatory factor analysis Geography Vulnerability assessment Environmental health Natural hazard Psychological resilience Safety Research Social vulnerability 0105 earth and related environmental sciences media_common |
| Zdroj: | International Journal of Disaster Risk Reduction. 50:101831 |
| ISSN: | 2212-4209 |
| DOI: | 10.1016/j.ijdrr.2020.101831 |
| Popis: | Vulnerability to natural hazards consists of three different dimensions: exposure, sensitivity, and resilience or adaptive capacity. The current study utilized Confirmatory Factor Analysis (CFA) to analyze the interrelationship among exposure, sensitivity, and resilience simultaneously. A total of 53,344 questionnaires through 2015 Community Based Monitoring System (CBMS) were analyzed from 6 different municipalities in Marinduque Island, Philippines. CFA revealed that exposure had a significant negative correlation with resilience (β: −0.228), however, it was found to have a significant positive correlation with sensitivity (β: 0.124). In addition, sensitivity was found to have a significant positive correlation with resilience (β: 0.212). Regarding the significant indicators for each dimension, typhoon and landslide experiences were found as significant indicators for exposure; number of elderly and children were found as significant indicators for sensitivity; education, appliances, vehicles, communication access, and potable water were found as significant indicators for resilience. Although the study is limited to the selected study areas, indicators used, and spatial unites, the CFA showed to be a significant method with good results. It would be very beneficial for human factors engineers, environmental engineers, and even for geographer sparticularly related to the quantification of Local Vulnerability Index (LVI). Finally, CFA approach could also be applied and extended for utilizing other vulnerability models such as poverty vulnerability, social vulnerability, or even health vulnerability. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full Text from ScienceDirect