Factors Associated with Urban Risk-Taking Behaviour during 2018 Typhoon Mangkhut: A Cross Sectional Study
Abstract
:1. Introduction
2. Materials and Methods
3. Results
3.1. Description of the Study Population
3.2. Factors Associated with Non-Essential RBDT
4. Discussion
4.1. Comparison between Household Preparedness and Risk-Taking Behaviour
4.2. Difference between Typhoon Risk Perception and Risk Perception of Non-Essential RBDT
4.3. Other Reasons for Non-Essential RBDT
4.4. Ethical Concerns in Rescue Operations
4.5. What Is the Gap Found in This Study?
4.6. Recommendations
4.7. Limitations
4.8. Future Research Directions
5. Conclusions
Author Contributions
Funding
Conflicts of Interest
References
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Characteristics | Go Outdoor for Emergency/Work Reasons (n = 21) | Go Outdoor for Non-Essential Reasons (n = 62) | Did Not Go Outdoor (n = 438) | p-Value | |
---|---|---|---|---|---|
Gender | Male | 9 (42.9%) | 38 (61.3%) | 174 (39.7%) | 0.006 |
Female | 12 (57.1%) | 24 (38.7%) | 264 (60.3%) | ||
Age | 18–24 | 2 (9.5%) | 14 (22.6%) | 47 (10.7%) | 0.078 |
25–44 | 9 (42.9%) | 18 (29.0%) | 127 (29.0%) | ||
45–64 | 9 (42.9%) | 24 (38.7%) | 191 (43.6%) | ||
≥65 | 1 (4.8%) | 6 (9.7%) | 73 (16.7%) | ||
Education attainment | Primary or below | 2 (10.0%) | 5 (8.1%) | 49 (11.3%) | 0.407 |
Secondary | 7 (35.0%) | 18 (29.0%) | 170 (39.2%) | ||
Post-secondary | 11 (55.0%) | 39 (62.9%) | 215 (49.5%) | ||
Marital status | Single | 8 (38.1%) | 28 (45.2%) | 176 (40.2%) | 0.734 |
Married | 13 (61.9%) | 34 (54.8%) | 262 (59.8%) | ||
Income | <2000–9999 | 0 (0.0%) | 5 (8.9%) | 40 (9.9%) | 0.462 |
10,000–19,999 | 2 (10.5%) | 5 (8.9%) | 66 (16.3%) | ||
20,000–39,999 | 6 (31.6%) | 21 (37.5%) | 133 (32.9%) | ||
≥40,000 | 11 (57.9%) | 25 (44.6%) | 165 (40.8%) | ||
Occupation | Manager/Professional/Clerk | 9 (45.0%) | 24 (41.4%) | 151 (35.4%) | |
Sales & Services | 5 (25.0%) | 2 (3.4%) | 35 (8.2%) | ||
Craft related/ Machinery labour | 0 (0.0%) | 5 (8.6%) | 20 (4.7%) | 0.033 | |
Elementary occupation | 3 (15.0%) | 3 (5.2%) | 23 (5.4%) | ||
Housewives/Students | 1 (5.0%) | 14 (24.1%) | 115 (26.9%) | ||
Unemployed/Retired | 2 (10.0%) | 10 (17.2%) | 83 (19.4%) | ||
Chronic disease | Yes | 4 (19.0%) | 10 (16.7%) | 77 (17.7%) | 0.965 |
No | 17 (81.0%) | 50 (83.3%) | 357 (82.3%) | ||
Routinely work during typhoon signal no.8 | Yes | 15 (83.3%) | 4 (9.3%) | 35 (13.4%) | <0.001 |
No | 3 (16.7%) | 39 (90.7%) | 227 (86.6%) | ||
Occupation involving mainly outdoor work | Yes | 3 (17.6%) | 10 (23.3%) | 43 (16.8%) | 0.591 |
No | 14 (82.4%) | 33 (76.7%) | 213 (83.2%) | ||
Channel of obtaining weather information | Television | 12 (57.1%) | 26 (41.9%) | 236 (53.9%) | 0.015 |
Radio | 0 (0.0%) | 6 (9.7%) | 24 (5.5%) | ||
Website/Smartphone platform | 6 (28.6%) | 28 (45.2%) | 168 (38.4%) | ||
Newspaper or others | 3 (14.3%) | 2 (3.2%) | 10 (2.3%) | ||
Disaster preparation immediately prior to the typhoon | No | 0 (0.0%) | 4 (6.5%) | 28 (6.4%) | 0.489 |
Yes | 21 (100.0%) | 58 (93.5%) | 410 (93.6%) |
Factors | χ2 Test | Logistic Regression | ||||
---|---|---|---|---|---|---|
Stayed Indoor | Non-essential RBDT | p-Value | OR (95% CI) | p-Value | ||
Gender a | Male | 174 (39.7%) | 38 (61.3%) | 0.001 | Ref. | |
Female | 264 (60.3%) | 24 (38.7%) | 0.435 (0.248–0.761) | 0.004 | ||
Age a | 18–24 | 47 (10.7%) | 14 (22.6%) | 0.041 | Ref. | |
25–44 | 127 (29.0%) | 18 (29.0%) | 0.573 (0.260–1.263) | 0.167 | ||
45–64 | 191 (43.6%) | 24 (38.7%) | 0.527 (0.248–1.118) | 0.095 | ||
≥65 | 73 (16.7%) | 6 (9.7%) | 0.297 (0.106–0.833) | 0.021 | ||
Education attainment b | Primary or below | 49 (11.3%) | 5 (8.1%) | 0.144 | Ref. | |
Secondary | 170 (39.2%) | 18 (29.0%) | 0.799 (0.269–2.374) | 0.687 | ||
Post-secondary | 215 (49.5%) | 39 (62.9%) | 1.110 (0.363–3.392) | 0.854 | ||
Income b | <2000–9999 | 40 (9.9%) | 5 (8.9%) | 0.517 | Ref. | |
10,000–19,999 | 66 (16.3%) | 5 (8.9%) | 0.465 (0.120–1.796) | 0.267 | ||
20,000–39,999 | 133 (32.9%) | 21 (37.5%) | 0.897 (0.28–2.784) | 0.851 | ||
≥40,000 | 165 (40.98 | 25 (44.6%) | 0.821 (0.264–2.555) | 0.733 | ||
Perceived Hong Kong to be susceptible to disasters b | No | 35 (8.0%) | 4 (6.5%) | 0.669 | Ref. | |
Yes | 402 (92.0%) | 58 (93.5%) | 1.474 (0.494–4.398) | 0.486 | ||
Perceived impact of Typhoon Mangkhut compared to expectations b | Less than expected | 118 (27.1%) | 16 (25.8%) | 0.919 | Ref. | |
Same as expected | 235 (54.0%) | 33 (53.2%) | 0.919 (0.477–1.773) | 0.802 | ||
Larger than expected | 82 (18.9%) | 13 (21.0%) | 1.032 (0.462–2.303) | 0.940 | ||
Concerned for the safety of oneself and family members b | No | 159 (36.3%) | 17 (27.4%) | 0.171 | Ref. | |
Yes | 279 (63.7%) | 45 (72.6%) | 1.585 (0.860–2.922) | 0.140 | ||
Practiced disaster preparedness immediately prior to the typhoon b | No | 28 (6.4%) | 4 (6.5%) | 0.986 | Ref. | |
Yes | 410 (93.6%) | 58 (93.5%) | 1.077 (0.355–3.264) | 0.896 | ||
Preparedness: routine food reserves b | No | 81 (18.5%) | 7 (11.3%) | 0.163 | Ref. | |
Yes | 357 (81.5%) | 55 (88.7%) | 1.663 (0.717–3.857) | 0.236 | ||
Preparedness: routine potable water reserves b | No | 223 (50.9%) | 32 (51.6%) | 0.918 | Ref. | |
Yes | 215 (49.1%) | 30 (48.4%) | 0.842 (0.484–1.463) | 0.541 | ||
Preparedness: food reserves specifically for Typhoon Mangkhut b | No | 137 (31.3%) | 25 (40.3%) | 0.154 | Ref. | |
Yes | 301 (68.7%) | 37 (59.7%) | 0.666 (0.378–1.174) | 0.160 | ||
Preparedness: potable water reserves specifically for Typhoon Mangkhut b | No | 272 (62.1%) | 39 (62.9%) | 0.903 | Ref. | |
Yes | 166 (37.9%) | 23 (37.1%) | 0.894 (0.506–1.581) | 0.700 |
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Share and Cite
Shang, E.S.W.; Lo, E.S.K.; Huang, Z.; Hung, K.K.C.; Chan, E.Y.Y. Factors Associated with Urban Risk-Taking Behaviour during 2018 Typhoon Mangkhut: A Cross Sectional Study. Int. J. Environ. Res. Public Health 2020, 17, 4150. https://doi.org/10.3390/ijerph17114150
Shang ESW, Lo ESK, Huang Z, Hung KKC, Chan EYY. Factors Associated with Urban Risk-Taking Behaviour during 2018 Typhoon Mangkhut: A Cross Sectional Study. International Journal of Environmental Research and Public Health. 2020; 17(11):4150. https://doi.org/10.3390/ijerph17114150
Chicago/Turabian StyleShang, Evan Su Wei, Eugene Siu Kai Lo, Zhe Huang, Kevin Kei Ching Hung, and Emily Ying Yang Chan. 2020. "Factors Associated with Urban Risk-Taking Behaviour during 2018 Typhoon Mangkhut: A Cross Sectional Study" International Journal of Environmental Research and Public Health 17, no. 11: 4150. https://doi.org/10.3390/ijerph17114150
APA StyleShang, E. S. W., Lo, E. S. K., Huang, Z., Hung, K. K. C., & Chan, E. Y. Y. (2020). Factors Associated with Urban Risk-Taking Behaviour during 2018 Typhoon Mangkhut: A Cross Sectional Study. International Journal of Environmental Research and Public Health, 17(11), 4150. https://doi.org/10.3390/ijerph17114150