IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v14y2017i5p492-d97802.html
   My bibliography  Save this article

Perception, Knowledge and Behaviors Related to Typhoon: A Cross Sectional Study among Rural Residents in Zhejiang, China

Author

Listed:
  • Wenchao Zhang

    (Department of Epidemiology, School of Public Health, Shandong University, Jinan 250012, Shandong, China)

  • Wei Wang

    (Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, Zhejiang, China)

  • Junfen Lin

    (Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, Zhejiang, China)

  • Ying Zhang

    (School of Public Health, University of Sydney, Sydney 2006, Australia)

  • Xiaopeng Shang

    (Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, Zhejiang, China)

  • Xin Wang

    (Bureau of human resources and social security of Fengtai District of Beijing, Beijing 100073, China)

  • Meilin Huang

    (Ninghai County Center for Disease Control and Prevention, Ningbo 315600, Zhejiang, China)

  • Shike Liu

    (Ninghai County Center for Disease Control and Prevention, Ningbo 315600, Zhejiang, China)

  • Wei Ma

    (Department of Epidemiology, School of Public Health, Shandong University, Jinan 250012, Shandong, China
    Shandong University Climate Change and Health Center, Jinan 250012, Shandong, China)

Abstract

(1) The objective of this study was to assess the risk perceptions, attitudes, knowledge, and behaviors related to typhoon among rural residents in Zhejiang province of China. A cross-sectional study was conducted among rural residents in Zhejiang province, China. Information was collected from 659 participants using a structured questionnaire. Univariate analysis and multivariable analysis were used to analyze the data. Participants were most concerned about property damage, followed by their health and life. Television, short message service (SMS), relatives and friends were the most common information sources. Most people had not been educated with disaster prevention measures. The complementary log–log (CLL) model showed that understanding typhoon warning signal, preparation time, risk perception of health damage and life threat, and fears of typhoon were independent predictors of adoption of coping behaviors. We found that: 1. Residents’ risk perception of health and life threat caused by typhoon is inadequate; 2. There is a gap between residents’ cognition or knowledge and behavior in rural areas; 3. The government should further make strategies to develop educational activities, in order to eliminate the gap and improve the ability of preparing for typhoon among rural residents.

Suggested Citation

  • Wenchao Zhang & Wei Wang & Junfen Lin & Ying Zhang & Xiaopeng Shang & Xin Wang & Meilin Huang & Shike Liu & Wei Ma, 2017. "Perception, Knowledge and Behaviors Related to Typhoon: A Cross Sectional Study among Rural Residents in Zhejiang, China," IJERPH, MDPI, vol. 14(5), pages 1-12, May.
    • Handle: RePEc:gam:jijerp:v:14:y:2017:i:5:p:492-:d:97802
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/14/5/492/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/14/5/492/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Defu Liu & Liang Pang & Botao Xie, 2009. "Typhoon disaster in China: prediction, prevention, and mitigation," 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. 49(3), pages 421-436, June.
    2. Masozera, Michel & Bailey, Melissa & Kerchner, Charles, 2007. "Distribution of impacts of natural disasters across income groups: A case study of New Orleans," Ecological Economics, Elsevier, vol. 63(2-3), pages 299-306, August.
    3. Corene Matyas & Sivaramakrishnan Srinivasan & Ignatius Cahyanto & Brijesh Thapa & Lori Pennington-Gray & Jorge Villegas, 2011. "Risk perception and evacuation decisions of Florida tourists under hurricane threats: a stated preference analysis," 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. 59(2), pages 871-890, November.
    4. Meng Gao & Jicai Ning & Xiaoqing Wu, 2015. "Normal and Extreme Wind Conditions for Power at Coastal Locations in China," PLOS ONE, Public Library of Science, vol. 10(8), pages 1-26, August.
    5. Xiao Fengjin & Xiao Ziniu, 2010. "Characteristics of tropical cyclones in China and their impacts analysis," 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. 54(3), pages 827-837, September.
    6. Jing Shi & Vivianne H. M. Visschers & Michael Siegrist, 2015. "Public Perception of Climate Change: The Importance of Knowledge and Cultural Worldviews," Risk Analysis, John Wiley & Sons, vol. 35(12), pages 2183-2201, December.
    7. Xinliang Xu & Daowei Sun & Tengjiao Guo, 2015. "A systemic analysis of typhoon risk across China," 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. 77(1), pages 461-477, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Emily Ying Yang Chan & Asta Yi Tao Man & Holly Ching Yu Lam & Gloria Kwong Wai Chan & Brian J. Hall & Kevin Kei Ching Hung, 2019. "Is Urban Household Emergency Preparedness Associated with Short-Term Impact Reduction after a Super Typhoon in Subtropical City?," IJERPH, MDPI, vol. 16(4), pages 1-16, February.
    2. Ma. Janice J. Gumasing & Yogi Tri Prasetyo & Ardvin Kester S. Ong & Reny Nadlifatin & Satria Fadil Persada, 2022. "Determining Factors Affecting the Perceived Preparedness of Super Typhoon: Three Broad Domains of Ergonomics Approach," Sustainability, MDPI, vol. 14(19), pages 1-29, September.
    3. Jing Huang & Weiwei Cao & Huimin Wang & Zhiqiang Wang, 2020. "Affect Path to Flood Protective Coping Behaviors Using SEM Based on a Survey in Shenzhen, China," IJERPH, MDPI, vol. 17(3), pages 1-17, February.
    4. Sai Leung Ng, 2023. "The role of risk perception, prior experience, and sociodemographics in disaster preparedness and emergency response toward typhoons in Hong Kong," 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. 116(1), pages 905-936, March.
    5. Hongshi Xu & Kui Xu & Lingling Bin & Jijian Lian & Chao Ma, 2018. "Joint Risk of Rainfall and Storm Surges during Typhoons in a Coastal City of Haidian Island, China," IJERPH, MDPI, vol. 15(7), pages 1-20, June.
    6. Resti Tito Villarino, 2023. "Online Typhoon Preparedness and Mitigation Program: Fitness-for-Purpose Process," Technium Social Sciences Journal, Technium Science, vol. 43(1), pages 647-667, May.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Violeta Mihaela Dincă & Mihail Busu & Zoltan Nagy-Bege, 2022. "Determinants with Impact on Romanian Consumers’ Energy-Saving Habits," Energies, MDPI, vol. 15(11), pages 1-18, June.
    2. Stav Shapira & Lena Novack & Yaron Bar-Dayan & Limor Aharonson-Daniel, 2016. "An Integrated and Interdisciplinary Model for Predicting the Risk of Injury and Death in Future Earthquakes," PLOS ONE, Public Library of Science, vol. 11(3), pages 1-11, March.
    3. Martin Vezér & Alexander Bakker & Klaus Keller & Nancy Tuana, 2018. "Epistemic and ethical trade-offs in decision analytical modelling," Climatic Change, Springer, vol. 147(1), pages 1-10, March.
    4. Frijters, Paul & Johnston, David W. & Knott, Rachel & Torgler, Benno, 2021. "Resilience to Disaster: Evidence from Daily Wellbeing Data," IZA Discussion Papers 14220, Institute of Labor Economics (IZA).
    5. Laura Siebeneck & Ronald Schumann & Britt-Janet Kuenanz & Seungyoon Lee & Bailey C. Benedict & Caitlyn M. Jarvis & Satish V. Ukkusuri, 2020. "Returning home after Superstorm Sandy: phases in the return-entry process," 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. 101(1), pages 195-215, March.
    6. Miguel Esteban & Jeremy Bricker & Ricardo San Carlos Arce & Hiroshi Takagi & NamYi Yun & Warathida Chaiyapa & Alexander Sjoegren & Tomoya Shibayama, 2018. "Tsunami awareness: a comparative assessment between Japan and the USA," 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. 93(3), pages 1507-1528, September.
    7. Ying Wang & Hao Chen & Juan Li, 2012. "Factors affecting earthquake recovery: the Yao’an earthquake of China," 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. 64(1), pages 37-53, October.
    8. Arouri, Mohamed & Nguyen, Cuong & Youssef, Adel Ben, 2015. "Natural Disasters, Household Welfare, and Resilience: Evidence from Rural Vietnam," World Development, Elsevier, vol. 70(C), pages 59-77.
    9. Mohsen Alizadeh & Esmaeil Alizadeh & Sara Asadollahpour Kotenaee & Himan Shahabi & Amin Beiranvand Pour & Mahdi Panahi & Baharin Bin Ahmad & Lee Saro, 2018. "Social Vulnerability Assessment Using Artificial Neural Network (ANN) Model for Earthquake Hazard in Tabriz City, Iran," Sustainability, MDPI, vol. 10(10), pages 1-23, September.
    10. Jonathan W. F. Remo & Nicholas Pinter & Moe Mahgoub, 2016. "Assessing Illinois’s flood vulnerability using Hazus-MH," 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. 81(1), pages 265-287, March.
    11. Kilgarriff, Paul & McDermott, T.K.J. & Vega, Amaya & Morrissey , Karyn & O’Donoghue, Cathal, 2018. "Flooding disruption and the impact on the spatial distribution of commuter’s income," Working Papers 309608, National University of Ireland, Galway, Socio-Economic Marine Research Unit.
    12. Geunsik Kim & Seoyong Kim & Eunjung Hwang, 2021. "Searching for Evidence-Based Public Policy and Practice: Analysis of the Determinants of Personal/Public Adaptation and Mitigation Behavior against Particulate Matter by Focusing on the Roles of Risk ," IJERPH, MDPI, vol. 18(2), pages 1-22, January.
    13. John C. Boik, 2020. "Science-Driven Societal Transformation, Part I: Worldview," Sustainability, MDPI, vol. 12(17), pages 1-28, August.
    14. Peng Ye & Xueying Zhang & Ge Shi & Shuhui Chen & Zhiwen Huang & Wei Tang, 2020. "TKRM: A Formal Knowledge Representation Method for Typhoon Events," Sustainability, MDPI, vol. 12(5), pages 1-19, March.
    15. Karina Landeros-Mugica & Javier Urbina-Soria & Irasema Alcántara-Ayala, 2016. "The good, the bad and the ugly: on the interactions among experience, exposure and commitment with reference to landslide risk perception in México," 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. 80(3), pages 1515-1537, February.
    16. Resti Tito Villarino, 2023. "Online Typhoon Preparedness and Mitigation Program: Fitness-for-Purpose Process," Technium Social Sciences Journal, Technium Science, vol. 43(1), pages 647-667, May.
    17. Tovar Reaños, Miguel A., 2021. "Floods, flood policies and changes in welfare and inequality: Evidence from Germany," Ecological Economics, Elsevier, vol. 180(C).
    18. Oscar Zapata, 2023. "Weather Disasters, Material Losses and Income Inequality: Evidence from a Tropical, Middle-Income Country," Economics of Disasters and Climate Change, Springer, vol. 7(2), pages 231-251, July.
    19. Alisha KC & Connie Cai Ru Gan & Febi Dwirahmadi, 2019. "Breaking Through Barriers and Building Disaster Mental Resilience: A Case Study in the Aftermath of the 2015 Nepal Earthquakes," IJERPH, MDPI, vol. 16(16), pages 1-18, August.
    20. De Silva, M.M.G.T. & Kawasaki, Akiyuki, 2018. "Socioeconomic Vulnerability to Disaster Risk: A Case Study of Flood and Drought Impact in a Rural Sri Lankan Community," Ecological Economics, Elsevier, vol. 152(C), pages 131-140.

    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:jijerp:v:14:y:2017:i:5:p:492-:d:97802. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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.