Nuclear power has become a common source of energy for communities around the world. Despite relatively few global incidents, the potential for nuclear disaster always exists. Effective risk communication plays a critical role in reducing the loss of life and property when a nuclear failure arises. An overlooked aspect of existing studies on nuclear risk communication is to evaluate the information sources within and beyond the emergency planning zone (EPZ). To this end, the study has evaluated the effectiveness of risk communication for Arkansas Nuclear One, the only nuclear power plant in Arkansas, US. A structured survey was distributed to 185 local residents, especially to those living within the 10-mile EPZ of the plant. The survey aimed to assess public risk perception, preparedness levels, and the channels through which the information was received. The de facto preparedness knowledge in terms of R-score was quantified, interpolated, and visualized. The results identify the inequalities of demographic, contextual, and spatial factors in dictating risk communication within and beyond the nuclear EPZ. They reveal that the spatial awareness of the EPZ may serve as a better indicator of residents' preparedness level than their residential proximity to the nuclear power plant. The study further suggests that the active acquisition and effective comprehension of locational knowledge in the at-risk communities have significantly improved the preparedness level. This finding sheds new lights on policy recommendations for emergency management departments to proactively distribute health information and alleviate public stresses about the nuclear industry.
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Ando, M. (2015). Dreams of urbanization: quantitative case studies on the local impacts of nuclear power facilities using the synthetic control method. Journal of Urban Economics, 85, 68–85.
Arkansas Department of Health (ADH). (2016). Emergency instructions: Arkansas nuclear one. Retrieved from http://www.healthy.arkansas.gov/programs-services/topics/nuclear-planning-and-response. Accessed as of March 9 2018.
Arlikatti, S., Lindell, M. K., Prater, C. S., & Zhang, Y. (2006). Risk area accuracy and hurricane evacuation expectations of coastal residents. Environment and Behavior, 38(2), 226–247.
Arlikatti, S., Taibah, H. A., & Andrew, S. A. (2014). How do you warn them if they speak only Spanish? Challenges for organizations in communicating risk to Colonias residents in Texas, USA. Disaster Prevention and Management, 23(5), 533–550.
Benavides, A. D. (2013). Four major disaster occurrences and the Spanish language media: a lack of risk communication. Disaster Prevention and Management, 22(1), 29–37.
Chen, X., & Clark, J. (2016). Measuring space–time access to food retailers: a case of temporal access disparity in Franklin County, Ohio. The Professional Geographer, 68(2), 175–188.
Chen, X., & Li, Q. (2017). Modeling road network vulnerability for evacuees and first responders during no-notice evacuation. Journal of Advanced Transportation, in press.
Chen, X., & Yang, X. (2014). Does food environment influence food choices? A geographical analysis through “tweets”. Applied Geography, 51, 82–89.
Chen, Z., Chen, X., Li, Q., & Chen, J. (2013). The temporal hierarchy of shelters: a hierarchical location model for earthquake-shelter planning. International Journal of Geographical Information Science, 27(8), 1612–1630.
Covello, V. T. (1992). Risk communication: An emerging area of health communication research. In S. A. Deetz (Ed.), Communication yearbook 15 (pp. 359–373). Newbury Park: Sage.
Dash, N., & Gladwin, H. (2007). Evacuation decision making and behavioral responses: individual and household. Natural Hazards Review, 8(3), 69–77.
Donner, W., & Rodríguez, H. (2008). Population composition, migration and inequality: the influence of demographic changes on disaster risk and vulnerability. Social Forces, 87(2), 1089–1114.
Drottz-Sjöberg, B. M., & Sjoberg, L. (1990). Risk perception and worries after the Chernobyl accident. Journal of Environmental Psychology, 10(2), 135–149.
Figueroa, P. M. (2013). Risk communication surrounding the Fukushima nuclear disaster: an anthropological approach. Asia Europe Journal, 11(1), 53–64.
Giordano, A., Anderson, S., & He, X. (2010). How near is near? The distance perceptions of residents of a nuclear emergency planning zone. Environmental Hazards, 9(2), 167–182.
Gladwin, H., Lazo, J. K., Morrow, B. H., Peacock, W. G., & Willoughby, H. E. (2007). Social science research needs for the hurricane forecast and warning system. Natural Hazards Review, 8(3), 87–95.
Goodchild, M. F., & Glennon, J. A. (2010). Crowdsourcing geographic information for disaster response: a research frontier. International Journal of Digital Earth, 3(3), 231–241.
Ho, M. C., Shaw, D., Lin, S., & Chiu, Y. C. (2008). How do disaster characteristics influence risk perception? Risk Analysis, 28(3), 635–643.
Huang, L., Zhou, Y., Han, Y., Hammitt, J. K., Bi, J., & Liu, Y. (2013). Effect of the Fukushima nuclear accident on the risk perception of residents near a nuclear power plant in China. Proceedings of the National Academy of Sciences, 110(49), 19742–19747.
Hüppe, M., & Weber, J. (1999). Effects of distance, age and sex upon attitudes toward nuclear power plants: an empirical study. Zentralblatt für Hygiene und Umweltmedizin, 202(2–4), 331–344.
James, X., Hawkins, A., & Rowel, R. (2007). An assessment of the cultural appropriateness of emergency preparedness communication for low income minorities. Journal of Homeland Security and Emergency Management, 4(3), 1–24.
Jia, P (2016). Developing an efficient flow-based algorithm to delineate hospital service areas, Applied Geography 75, 137–143. https://doi.org/10.1016/j.apgeog.2016.08.008.
Jia, P, I., Xierali (2015). Disparities in healthcare travel patterns of the inpatients diagnosed with congestive heart failure in Florida, Preventing Chronic Disease 12: E150 https://doi.org/10.5888/pcd12.150079.
Li, Q., Chen, X., Chen, J., & Tang, Q. (2010). An evacuation risk assessment model for emergency traffic with consideration of urban hazard installations. Chinese Science Bulletin, 55(10), 1000–1006.
Lindell, M. K., & Perry, R. (1987). Warning mechanisms in emergency ‘response systems’. International Journal of Mass Emergencies and Disasters, 5(2), 137–153.
Lindell, M. K., & Perry, R. W. (2004). Communicating environmental risk in multiethnic communities. Thousand Oaks: Sage Publications.
Maderthaner, R., Guttmann, G., Swaton, E., & Otway, H. J. (1978). Effect of distance upon risk perception. Journal of Applied Psychology, 63(3), 380.
McEntire, D. A., & Myers, A. (2004). Preparing communities for disasters: issues and processes for government readiness. Disaster Prevention and Management: An International Journal, 13(2), 140–152.
Ng, K. H., & Lean, M. L. (2012). The Fukushima nuclear crisis reemphasizes the need for improved risk communication and better use of social media. Health Physics, 103(3), 307–310.
Perry, R. W., & Lindell, M. K. (1991). The effects of ethnicity on evacuation decision-making. International Journal of Mass Emergencies and Disasters, 9(1), 47–68.
Regan, Á., Raats, M., Shan, L. C., Wall, P. G., & McConnon, Á. (2016). Risk communication and social media during food safety crises: a study of stakeholders’ opinions in Ireland. Journal of Risk Research, 19(1), 119–133.
Reynolds, B., & Seeger, M. W. (2005). Crisis and emergency risk communication as an integrative model. Journal of Health Communication, 10(1), 43–55.
Riad, J. K., Norris, F. H., & Ruback, R. B. (1999). Predicting evacuation in two major disasters: Risk perception, social influence, and access to resources. Journal of Applied Social Psychology, 29, 918–934.
Sorensen, J. H., & Sorensen, B. V. (2007). Community processes: Warning and evacuation. In Handbook of disaster research (pp. 183–199). New York: Springer.
Steinhauser, G., Brandl, A., & Johnson, T. E. (2014). Comparison of the Chernobyl and Fukushima nuclear accidents: a review of the environmental impacts. Science of the Total Environment, 470, 800–817.
Tweedie, S. W., Rowland, J. R., Walsh, S. J., Rhoten, R. P., & Hagle, P. I. (1986). A methodology for estimating emergency evacuation times. The Social Science Journal, 23(2), 189–204.
U.S. Census Bureau (USCB). (2017). QuickFacts: Russellville City, Arkansas. https://www.census.gov/quickfacts/table/PST045215/0561670. Accessed as of March 9 2018.
U.S. Nuclear Regulatory Commission (USNRC). (2015). Retrieved from http://www.nrc.gov/info-finder/reactor/ano1.html. Accessed as of March 9 2018.
Vyncke, B., Perko, T., & Gorp, B. (2016). Information sources as explanatory variables for the Belgian health-related risk perception of the Fukushima nuclear accident. Risk Analysis, online.
Wang, Q., Jha, A. N., Chen, X., Dong, J. F., & Wang, X. M. (2015). The future of nuclear safety: vital role of geoscientists? Renewable and Sustainable Energy Reviews, 43, 239–243.
Welsch, H., & Biermann, P. (2016). Measuring nuclear power plant externalities using life satisfaction data: a spatial analysis for Switzerland. Ecological Economics, 126, 98–111.
Whitfield, S. C., Rosa, E. A., Dan, A., & Dietz, T. (2009). The future of nuclear power: value orientations and risk perception. Risk Analysis, 29(3), 425–437.
The research was funded by the following grants: Student Undergraduate Research Fellowship (SURF) from Arkansas Department of Higher Education; Arkansas Tech University Professional Development Grant. We appreciate Samuel Canada and John Pryor for data collection in the implementation of the project. Peng Jia, Director of the International Initiative on Spatial Lifecourse Epidemiology (ISLE), thanks Lorentz Center, the Netherlands Organization for Scientific Research, the Royal Netherlands Academy of Arts and Sciences, the Chinese Center for Disease Control and Prevention, the West China School of Public Health in Sichuan University, the International Journal of Epidemiology, The Lancet Planetary Health, and Obesity Reviews, for funding the ISLE and supporting ISLE’s research activities.
Appendix: Evacuation Knowledge Assessment (EKA)
Appendix: Evacuation Knowledge Assessment (EKA)
The following ten questions (items 13–22 in the survey) were drafted from the ANO emergency instruction brochure (ADH 2016). Correct answers are underlined.
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Chen, X., Frazier, C., Manandhar, R. et al. Inequalities of Nuclear Risk Communication Within and Beyond the Evacuation Planning Zone. Appl. Spatial Analysis 12, 587–604 (2019). https://doi.org/10.1007/s12061-018-9257-7
- Risk communication
- Nuclear power plant
- Emergency planning zone
- Socioeconomic inequalities
- Emergency preparedness