Health Emergency Disaster Risk Management of Public Transport Systems: A Population-Based Study after the 2017 Subway Fire in Hong Kong, China
Abstract
:1. Introduction
2. Materials and Methods
2.1. Collection
2.2. Analysis
3. Results
3.1. Subjects’ Characteristics
3.2. Daily Transport Utilization and Confidence in Transport Safety
3.3. Association Among Expressed Worry of Disaster/Incident Risk, Type of Transport Used and Socio-Demographic Factors
3.4. Association between Previous First-Aid Training and Fire Injury-Related Response Knowledge, and Willingness to Learn
4. Discussion
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
References
- Fridolf, K.; Nilsson, D.; Frantzich, H. Fire evacuation in underground transportation systems: A review of accidents and empirical research. Fire Technol. 2013, 49, 451–475. [Google Scholar] [CrossRef]
- Gonzalez-Navarro, M.; Turner, M.A. Subways and urban growth: Evidence from earth. J. Urban Econ. 2018, 108, 85–106. [Google Scholar] [CrossRef]
- Garlock, M.; Paya-Zaforteza, I.; Kodur, V.; Gu, L. Fire hazard in bridges: Review, assessment and repair strategies. Eng. Struct. 2012, 35, 89–98. [Google Scholar] [CrossRef]
- Brown, A.L.; Wagner, G.J.; Metzinger, K.E. Impact, fire, and fluid spread code coupling for complex transportation accident environment simulation. J. Thermal Sci. Eng. Appl. 2012, 4, 021004. [Google Scholar] [CrossRef] [PubMed]
- Carvel, R.; Marlair, G. A History of Fire Incidents in Tunnels; Thomas Telford Publishing: London, UK, 2005. [Google Scholar]
- Jeon, G.; Hong, W. Characteristic features of the behavior and perception of evacuees from the Daegu subway fire and safety measures in an underground fire. J. Asian Archit. Build. Eng. 2009, 8, 415–422. [Google Scholar] [CrossRef]
- Tsukahara, M.; Koshiba, Y.; Ohtani, H. Effectiveness of downward evacuation in a large-scale subway fire using Fire Dynamics Simulator. Tunn. Undergr. Space Technol. 2011, 26, 573–581. [Google Scholar] [CrossRef]
- Kano, M.; Siegel, J.M.; Bourque, L.B. First-Aid Training and Capabilities of the Lay Public: A Potential Alternative Source of Emergency Medical Assistance Following a Natural Disaster. Disasters 2005, 29, 58–74. [Google Scholar] [CrossRef]
- United Nations Office for Disaster Risk Reduction. Sendai Framework for Disaster Risk Reduction. Available online: https://www.unisdr.org/we/coordinate/sendai-framework (accessed on 18 December 2017).
- United Nations Office for Disaster Risk Reduction. Terminology. Available online: https://www.unisdr.org/we/inform/terminology (accessed on 18 December 2017).
- Chan, E.Y.Y.; Yue, J.; Lee, P.; Wang, S.S. Socio-demographic predictors for urban community disaster health risk perception and household based preparedness in a Chinese urban city. PLoS Curr. 2016. [Google Scholar] [CrossRef]
- Chan, E.Y.Y.; Huang, Z.; Mark, C.K.; Guo, C. Weather Information Acquisition and Health Significance during Extreme Cold Weather in a Subtropical City: A Cross-sectional Survey in Hong Kong. Int. J. Disaster Risk Sci. 2017, 8, 134–144. [Google Scholar] [CrossRef] [Green Version]
- Tam, G.; Huang, Z.; Chan, E.Y.Y. Household Preparedness and Preferred Communication Channels in Public Health Emergencies: A Cross-Sectional Survey of Residents in An Asian Developed Urban City. Int. J. Environ. Res. Public Health 2018, 15, 1598. [Google Scholar] [CrossRef]
- Lam, R.P.K.; Leung, L.P.; Balsari, S.; Hsiao, K.-H.; Newnham, E.; Patrick, K.; Pham, P.; Leaning, J. Urban disaster preparedness of Hong Kong residents: A territory-wide survey. Int. J. Disaster Risk Reduct. 2017, 23, 62–69. [Google Scholar] [CrossRef] [Green Version]
- Environment Bureau. Hong Kong Special Administrative Region. Climate Change Report 2015. Available online: http://www.enb.gov.hk/sites/default/files/pdf/ClimateChangeEng.pdf (accessed on 18 September 2017).
- Zhang, L.; Lee, S.Y. Chinese High-Speed Train Fire Triggers Evacuation. Available online: https://www.reuters.com/article/us-china-accidents-train/chinese-high-speed-train-fire-triggers-evacuation-idUSKBN1FE13H (accessed on 18 September 2018).
- Chan, E.Y.Y.; Murray, V. What are the health research needs for the Sendai Framework? Lancet 2017, 390, e35–e36. [Google Scholar] [CrossRef]
- Lo, S.T.T.; Chan, E.Y.Y.; Chan, G.K.W.; Murray, V.; Ardalan, A.; Abrahams, J. Health Emergency and Disaster Management (H-EDRM): Developing the research field within the Sendai framework paradigm. Int. J. Disaster Risk Sci. 2017. [Google Scholar] [CrossRef]
- Hong Kong Special Administrative Region. LCQ19: Fire Incident at MTR Train and Public Transport Safety. 2017. Available online: http://www.info.gov.hk/gia/general/201703/01/P2017030100246.htm (accessed on 18 September 2017).
- Kao, E. Hong Kong MTR Firebomb Suspect Dies in Hospital from ‘Organ Failure’. Available online: http://www.scmp.com/news/hong-kong/law-crime/article/2094256/hong-kong-mtr-firebomb-suspect-dies-hospital-organ-failure (accessed on 18 September 2017).
- Chan, E.Y.Y.; Wang, S.S.; Ho, J.Y.; Huang, Z.; Liu, S.; Guo, C. Socio-demographic predictors of health and environmental co-benefit behaviours for climate change mitigation in urban China. PLoS ONE 2017, 12, e0188661. [Google Scholar] [CrossRef] [PubMed]
- Hong Kong St. John Ambulance. First Aid Manual; Hong Kong St. John Ambulance: Hong Kong, China, 2001. [Google Scholar]
- Census and Statistics Department. Hong Kong Special Administrative Region. Available online: http://www.bycensus2016.gov.hk/en (accessed on 18 September 2017).
- Hong Kong Police Force. Hong Kong Special Administrative Region. Available online: https://www.police.gov.hk/info/doc/statistics/traffic_report_2016_en.pdf (accessed on 18 December 2017).
- China Daily. Bus Smash Kills 21 in Hong Kong. Available online: http://www.chinadaily.com.cn/en/doc/2003-07/11/content_244497.htm (accessed on 18 December 2017).
- Ho, L.; Chan, P. Bus Crash Kills 18, Injures 44 in Sai Kung. Available online: http://www.chinadaily.com.cn/hkedition/2008-05/02/content_6656599.htm (accessed on 18 December 2017).
- Ian, S. Comparing the fatality risks in United States transportation across modes and over time. Res. Transp. Econ. 2013, 43, 9–22. [Google Scholar] [Green Version]
- Roche-Cerasi, I.; Rundmo, T.; Sigurdson, J.F.; Moe, D. Transport mode preferences, risk perception and worry in a Norwegian urban population. Accid. Anal. Prev. 2013, 50, 698–704. [Google Scholar] [CrossRef]
- Backer-Grøndahl, A.; Fyhri, A.; Ulleberg, P.; Amundsen, A.H. Accidents and unpleasant incidents: Worry in transport and prediction of travel behavior. Risk Anal. Int. J. 2009, 29, 1217–1226. [Google Scholar] [CrossRef]
- Rundmo, T.; Nordfjærn, T.; Iversen, H.H.; Oltedal, S.; Jørgensen, S.H. The role of risk perception and other risk-related judgements in transportation mode use. Saf. Sci. 2011, 49, 226–235. [Google Scholar] [CrossRef]
- Sjöberg, L. Worry and risk perception. Risk Anal. 1998, 18, 85–93. [Google Scholar] [CrossRef]
- Maccoby, E.E.; Jacklin, C.N. The Psychology of Sex Differences; Stanford University Press: Palo Alto, CA, USA, 1978. [Google Scholar]
- Patel, V.; Kleinman, A. Poverty and common mental disorders in developing countries. Bull. World Health Organ. 2003, 81, 609–615. [Google Scholar]
- Dugas, M.J.; Robichaud, M. Cognitive-Behavioral Treatment for Generalized Anxiety Disorder: From Science to Practice; Routledge: New York, NY, USA, 2012. [Google Scholar]
- Paton, D. Responding to hazard effects: Promoting resilience and adjustment adoption. Aust. J. Emerg. Manag. 2001, 16, 47. [Google Scholar]
- Loke, A.Y.; Lai, C.K.; Fung, O.W. At-home disaster preparedness of elderly people in Hong Kong. Geriatr. Gerontol. Int. 2012, 12, 524–531. [Google Scholar] [CrossRef] [PubMed]
- Larsson, E.; Martensson, M.; Alexanderson, K. First-aid training could improve risk behavior and enhance bystander actions. Prehospital Disaster Med. 2002, 17, 134–141. [Google Scholar] [CrossRef] [PubMed]
- Bakke, H.K.; Steinvik, T.; Angell, J.; Wisborg, T. A nationwide survey of first aid training and encounters in Norway. BMC Emerg. Med. 2016, 17, 6. [Google Scholar] [CrossRef]
- Kureckova, V.; Gabrhel, V.; Zamecnik, P.; Rezac, P.; Zaoral, A.; Hobl, J. First aid as an important traffic safety factor–evaluation of the experience–based training. Eur. Transp. Res. Rev. 2017, 9, 5. [Google Scholar] [CrossRef]
- Office of the Communications Authority. Hong Kong Special Administrative Region. Key Communication Statistics. Available online: http://www.ofca.gov.hk/en/media_focus/data_statistics/key_stat (accessed on 18 December 2017).
- Lau, J.T.; Yang, X.; Pang, E.; Tsui, H.Y.; Wong, E.; Wing, Y.K. SARS-related perception in Hong Kong. Emerg. Infect. Dis. 2005, 11, 417. [Google Scholar] [PubMed]
- Hong Kong Transport Department. Hong Kong Special Administrative Region. Travel Characteristics Survey 2011 Final Report. Available online: http://www.td.gov.hk/filemanager/en/content_4652/tcs2011_eng.pdf (accessed on 18 December 2017).
Demographics | Sampled Respondents (N = 1000) | HK 2016 Population By-Census Data (N = 6,506,130) | Sample vs. Census p-Value a | |||
---|---|---|---|---|---|---|
n | % | n | % | |||
Gender | Male | 456 | 45.6% | 2,947,073 | 45.3% | 0.87 b |
Female | 544 | 54.4% | 3,559,057 | 54.7% | ||
Age | 15–24 | 129 | 12.9% | 785,981 | 12.1% | <0.01 |
25–44 | 283 | 28.3% | 2,228,566 | 34.3% | ||
45–64 | 377 | 37.7% | 2,328,430 | 35.8% | ||
≥65 | 210 | 21.0% | 1,163,153 | 17.9% | ||
Area of residence * | Hong Kong Island | 182 | 18.2% | 1,120,143 | 17.2% | 0.70 |
Kowloon | 300 | 30.0% | 1,987,380 | 30.6% | ||
New Territories | 517 | 51.8% | 3,397,499 | 52.2% | ||
Education attainment | Primary and below | 116 | 11.6% | 1,673,431 | 25.7% | <0.01 |
Secondary | 474 | 47.5% | 2,841,510 | 43.7% | ||
Post-secondary | 408 | 40.9% | 1,991,189 | 30.6% | ||
Marital status | Single | 439 | 44.2% | 2,708,709 | 41.6% | 0.11 b |
Married | 554 | 55.8% | 3,797,421 | 58.4% |
n | % | 1 Strongly Disagree | 2 Disagree | 3 Slightly Disagree | 4 Slightly Agree | 5 Agree | 6 Strongly Agree | Mean | SD | |
---|---|---|---|---|---|---|---|---|---|---|
Total | 996 | 100% | 1.4% | 2.0% | 14.1% | 22.6% | 38.9% | 21.1% | 4.59 | 1.11 |
Walk/cycle | 57 | 5.7% | 1.8% | 1.8% | 14.0% | 17.5% | 38.6% | 26.3% | 4.68 | 1.17 |
Subway | 437 | 43.9% | 1.4% | 0.7% | 12.4% | 20.8% | 41.0% | 23.8% | 4.71 | 1.07 |
Bus | 430 | 43.2% | 1.4% | 3.3% | 16.3% | 25.6% | 36.7% | 16.7% | 4.43 | 1.13 |
Private car | 46 | 4.6% | 2.2% | 2.2% | 8.7% | 19.6% | 32.6% | 34.8% | 4.83 | 1.20 |
Other modes | 26 | 2.6% | 0.0% | 3.8% | 15.4% | 19.2% | 50.0% | 11.5% | 4.50 | 1.03 |
Characteristics | I am Worried that Disaster/Incident will Occur on the Daily Transport I Take (n = 990) | ||||
---|---|---|---|---|---|
Stage 1 Model | Stage 2 Model | ||||
OR (95% CI) | p-Value | OR (95% CI) | p-Value | ||
Gender | Male | 1 | 1 | ||
Female | 1.88 (1.44–2.46) | <0.01 | 1.92 (1.47–2.52) | <0.01 | |
Age | 15–24 | 1 | |||
25–44 | 1.33 (0.86–2.06) | 0.20 | |||
45–64 | 0.90 (0.58–1.37) | 0.61 | |||
≥65 | 1.24 (0.78–1.97) | 0.36 | |||
Area of residence | Hong Kong Island | 1 | |||
Kowloon | 0.92 (0.63–2.10) | 0.66 | |||
New Territories | 0.82 (0.58–1.16) | 0.26 | |||
Education | Primary or below | 1 | |||
Secondary | 0.91 (0.59–1.39) | 0.66 | |||
Post-secondary or above | 0.98 (0.64–1.50) | 0.92 | |||
Marital status | Single | 1 | 1 | ||
Married | 0.72 (0.55–0.93) | 0.01 | 0.75 (0.57–0.98) | 0.04 | |
Form of daily transport | Walk/cycle | 1 | |||
Subway | 0.79 (0.45–1.39) | 0.41 | |||
Bus | 0.76 (0.43–1.34) | 0.34 | |||
Private car | 0.63 (0.28–1.43) | 0.27 | |||
Others | 1.23 (0.48–3.14) | 0.67 | |||
Accept Comprehensive Social Security Assistance | No | 1 | 1 | ||
Yes | 2.32 (1.23–4.38) | 0.01 | 2.51 (1.30–4.83) | 0.01 |
Characteristics | Did You ever Receive First-Aid Training? n = 997 | Willingness of Learning More about Community Disaster Preparedness n = 994 | |||||||
---|---|---|---|---|---|---|---|---|---|
Stage 1 Model | Stage 2 Model | Stage 1 Model | Stage 2 Model | ||||||
OR (95% CI) | p-Value | OR (95% CI) | p-Value | OR (95% CI) | p-Value | OR (95% CI) | p-Value | ||
Gender | Male | 1 | 1 | 1 | |||||
Female | 0.86 (0.66–1.12) | 0.27 | 1.48 (1.13–1.93) | <0.01 | 1.51 (0.80–2.81) | 0.20 | |||
Age | 15–24 | 1 | 1 | 1 | 1 | ||||
25–44 | 1.41 (0.90–2.18) | 0.13 | 1.35 (0.87–2.11) | 0.18 | 1.53 (0.98–2.40) | 0.06 | 3.92 (0.95–16.09) | 0.06 | |
45–64 | 1.03 (0.67–1.58) | 0.9 | 1.29 (0.83–2.00) | 0.26 | 1.14 (0.75–1.74) | 0.55 | 1.08 (0.41–2.86) | 0.88 | |
≥65 | 0.57 (0.35–0.94) | 0.03 | 1.05 (0.61–1.79) | 0.87 | 0.78 (0.49–1.23) | 0.28 | 0.66 (0.23–1.91) | 0.45 | |
Area of residence | Hong Kong Island | 1 | 1 | ||||||
Kowloon | 1.04 (0.70–1.55) | 0.86 | 0.96 (0.65–1.41) | 0.83 | |||||
New Territories | 1.14 (0.79–1.64) | 0.48 | 1.15 (0.80–1.64) | 0.46 | |||||
Education | Primary or below | 1 | 1 | 1 | 1 | ||||
Secondary | 3.96 (2.06–7.60) | <0.01 | 3.59 (1.83–7.07) | <0.01 | 1.40 (0.92–2.14) | 0.12 | 1.45 (0.64–3.30) | 0.38 | |
Post-secondary or above | 6.82 (3.55–13.08) | <0.01 | 5.97 (2.96–12.03) | <0.01 | 1.60 (1.04–2.46) | 0.03 | 2.37 (0.84–6.63) | 0.10 | |
Marital status | Single | 1 | 1 | ||||||
Married | 0.94 (0.72–1.23) | 0.64 | 0.85 (0.65–1.12) | 0.24 | |||||
Accept Comprehensive Social Security Assistance | No | 1 | 1 | 1 | |||||
Yes | 0.42 (0.19–0.97) | 0.04 | 0.65 (0.27–1.52) | 0.32 | 1.08 (0.54–2.16) | 0.83 | |||
Worried about disaster/incident on the daily transport | No | 1 | 1 | 1 | |||||
Yes | 1.08 (0.54–2.16) | 0.3 | 2.93 (2.14–4.00) | <0.01 | 4.36 (1.69–11.25) | <0.01 |
Fire Response Questions | Overall (n = 981) | Do not Know how to Deal with Fire in Transport (n = 627) | Know how to Deal with Fire in Transport (n = 354) | OR (95%CI) of Getting a Correct Answer (Know how to Deal with Fire vs. Do not Know) | |||
---|---|---|---|---|---|---|---|
Incorrect | Correct | Incorrect | Correct | Incorrect | Correct | ||
T1: Room temperature water | 53.0% | 47.0% | 52.7% | 47.3% | 53.3% | 46.7% | OR = 0.98, 95% CI: 0.75–1.27, p = 0.86 |
T2: Fire blanket | 38.7% | 61.3% | 37.4% | 62.6% | 40.3% | 59.7% | OR = 0.91, 95% CI: 0.69–1.21, p = 0.52 |
T3: Fire Hose/ Extinguisher | 46.2% | 53.8% | 48.1% | 51.9% | 44.0% | 56.0% | OR = 1.18, 95% CI: 0.91–1.54, p = 0.22 |
© 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Share and Cite
Chan, E.Y.Y.; Huang, Z.; Hung, K.K.C.; Chan, G.K.W.; Lam, H.C.Y.; Lo, E.S.K.; Yeung, M.P.S. Health Emergency Disaster Risk Management of Public Transport Systems: A Population-Based Study after the 2017 Subway Fire in Hong Kong, China. Int. J. Environ. Res. Public Health 2019, 16, 228. https://doi.org/10.3390/ijerph16020228
Chan EYY, Huang Z, Hung KKC, Chan GKW, Lam HCY, Lo ESK, Yeung MPS. Health Emergency Disaster Risk Management of Public Transport Systems: A Population-Based Study after the 2017 Subway Fire in Hong Kong, China. International Journal of Environmental Research and Public Health. 2019; 16(2):228. https://doi.org/10.3390/ijerph16020228
Chicago/Turabian StyleChan, Emily Ying Yang, Zhe Huang, Kevin Kei Ching Hung, Gloria Kwong Wai Chan, Holly Ching Yu Lam, Eugene Siu Kai Lo, and May Pui Shan Yeung. 2019. "Health Emergency Disaster Risk Management of Public Transport Systems: A Population-Based Study after the 2017 Subway Fire in Hong Kong, China" International Journal of Environmental Research and Public Health 16, no. 2: 228. https://doi.org/10.3390/ijerph16020228
APA StyleChan, E. Y. Y., Huang, Z., Hung, K. K. C., Chan, G. K. W., Lam, H. C. Y., Lo, E. S. K., & Yeung, M. P. S. (2019). Health Emergency Disaster Risk Management of Public Transport Systems: A Population-Based Study after the 2017 Subway Fire in Hong Kong, China. International Journal of Environmental Research and Public Health, 16(2), 228. https://doi.org/10.3390/ijerph16020228