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Information Preference and Information Supply Efficiency Evaluation before, during, and after an Earthquake: Evidence from Songyuan, China

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  • Shasha Li

    (Jangho Architecture College, Northeastern University, Shenyang 110169, China)

  • Xinyu Peng

    (Jangho Architecture College, Northeastern University, Shenyang 110169, China)

  • Ruiqiu Pang

    (Jangho Architecture College, Northeastern University, Shenyang 110169, China)

  • Li Li

    (Jangho Architecture College, Northeastern University, Shenyang 110169, China)

  • Zixuan Song

    (Rosedale Academy Shenyang Campus, Shenyang 110011, China)

  • Hongying Ye

    (China Building Technique Group Co., Ltd., Beijing 100013, China)

Abstract

Efficient risk communication is aimed at improving the supply of risk information to meet the information needs of individuals, thus reducing their vulnerability when facing the risk of emergency. There is little information available in the literature regarding information preference from an individual’s need perspective, and there is a lack of differentiation in evaluation between information need and supply. Under the guidance of the crisis stage analysis theory, using multiple response analysis and weighted analysis methods, this study explores earthquake disaster information content and communication channel preferences, and develops an information deviation index (IDI) to evaluate the efficiency of risk communication before, during, and after an earthquake. A questionnaire-based survey of 918 valid respondents in Songyuan, China, which had been hit by a small earthquake swarm, was conducted to provide practical evidence for this study. The results indicated the following. Firstly, the information needs of individuals are highly differentiated in the different stages of an earthquake. From pre-disaster to post-disaster, individuals show a shift in information need from “preparedness and response knowledge” to “disaster information”, then to “disaster information and disaster relief information” in parallel, to “reconstruction and reflection information”. Based on the above analysis, a composition of the main earthquake disaster information is proposed for different stages. Secondly, by measuring the values of the IDI, we found that most individuals’ information needs were met for the earthquake. Thirdly, the TV and the internet were the two preferred commutation channels for acquiring disaster information from among all the effective channels in all the stages.

Suggested Citation

  • Shasha Li & Xinyu Peng & Ruiqiu Pang & Li Li & Zixuan Song & Hongying Ye, 2021. "Information Preference and Information Supply Efficiency Evaluation before, during, and after an Earthquake: Evidence from Songyuan, China," IJERPH, MDPI, vol. 18(24), pages 1-28, December.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:24:p:13070-:d:700038
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    References listed on IDEAS

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    1. Li, Lifang & Zhang, Qingpeng & Tian, Jun & Wang, Haolin, 2018. "Characterizing information propagation patterns in emergencies: A case study with Yiliang Earthquake," International Journal of Information Management, Elsevier, vol. 38(1), pages 34-41.
    2. Soon Singh Bikar & Balan Rathakrishnan & Mohammad Rahim Kamaluddin & Norruzeyati Che Mohd Nasir & Mohd Azrin Mohd Nasir, 2021. "Social Sustainability of Post-Disaster: How Teachers Enable Primary School Students to Be Resilient in Times of Ranau Earthquake," Sustainability, MDPI, vol. 13(13), pages 1-11, June.
    3. Francesco Finazzi, 2020. "Fulfilling the information need after an earthquake: statistical modelling of citizen science seismic reports for predicting earthquake parameters in near realtime," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(3), pages 857-882, June.
    4. Hoffmann, Roman & Muttarak, Raya, 2017. "Learn from the Past, Prepare for the Future: Impacts of Education and Experience on Disaster Preparedness in the Philippines and Thailand," World Development, Elsevier, vol. 96(C), pages 32-51.
    5. Yates, Dave & Paquette, Scott, 2011. "Emergency knowledge management and social media technologies: A case study of the 2010 Haitian earthquake," International Journal of Information Management, Elsevier, vol. 31(1), pages 6-13.
    6. Shasha Li & Guofang Zhai & Shutian Zhou & Chenjing Fan & Yunqing Wu & Chongqiang Ren, 2017. "Insight into the Earthquake Risk Information Seeking Behavior of the Victims: Evidence from Songyuan, China," IJERPH, MDPI, vol. 14(3), pages 1-16, March.
    7. Xiaohui Su & Shurui Ma & Xiaokang Qiu & Jiabin Shi & Xiaodong Zhang & Feixiang Chen, 2021. "Microblog Topic-Words Detection Model for Earthquake Emergency Responses Based on Information Classification Hierarchy," IJERPH, MDPI, vol. 18(15), pages 1-20, July.
    8. Zhai, Guofang & Suzuki, Takeshi, 2008. "Public willingness to pay for environmental management, risk reduction and economic development: Evidence from Tianjin, China," China Economic Review, Elsevier, vol. 19(4), pages 551-566, December.
    9. Dingde Xu & Enlai Liu & Xuxi Wang & Hong Tang & Shaoquan Liu, 2018. "Rural Households’ Livelihood Capital, Risk Perception, and Willingness to Purchase Earthquake Disaster Insurance: Evidence from Southwestern China," IJERPH, MDPI, vol. 15(7), pages 1-19, June.
    10. Toddi Steelman & Sarah McCaffrey & Anne-Lise Velez & Jason Briefel, 2015. "What information do people use, trust, and find useful during a disaster? Evidence from five large wildfires," 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. 76(1), pages 615-634, March.
    11. Bev J. Holmes & Natalie Henrich & Sara Hancock & Valia Lestou, 2009. "Communicating with the public during health crises: experts' experiences and opinions," Journal of Risk Research, Taylor & Francis Journals, vol. 12(6), pages 793-807, September.
    12. Anna Fokaefs & Kalliopi Sapountzaki, 2021. "Crisis Communication after Earthquakes in Greece and Japan: Effects on Seismic Disaster Management," Sustainability, MDPI, vol. 13(16), pages 1-26, August.
    13. Fabrizio Terenzio Gizzi & Jonghun Kam & Donatella Porrini, 2020. "Time windows of opportunities to fight earthquake under-insurance: evidence from Google Trends," Palgrave Communications, Palgrave Macmillan, vol. 7(1), pages 1-11, December.
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