Technical Papers
Dec 23, 2022

Modeling Household Earthquake Hazard Adjustment Intentions: An Extension of the Protection Motivation Theory

Publication: Natural Hazards Review
Volume 24, Issue 2

Abstract

While existing literature has explored how hazard experience, salience, and demographics characteristics shape threat appraisal and hazard adjustment intentions, this study expands on past studies by exploring how additional factors such as qualitative characteristics of the hazard, political ideology, and oil entanglements shape threat appraisals, coping appraisals, and adjustment intentions in response to a techna hazard. This study builds on protection motivation theory (PMT) to explore factors that shape Oklahomans’ intentions to adjust to induced seismicity using data collected from households (n=866) across 27 counties in Oklahoma that have experienced varying levels of seismic activity resulting from oil and gas exploration. Correlational analyses and structural equation modeling show that several variables not included in the original PMT, such as feelings of dread or negative emotions associated with earthquakes, are important predictors of intentions to adopt hazard adjustments. This study concludes with examining the effect of additional factors on adjustment intentions and risk perceptions that can help guide future earthquake risk management in identifying and taking appropriate actions that will stimulate precautionary behavior of private actors.

Practical Applications

This study builds on PMT to explore factors that shape Oklahomans’ intentions to adjust to induced seismicity using data collected from households (n=866) across 27 counties in Oklahoma that have experienced varying levels of seismic activity resulting from oil and gas exploration. While our results lend support to PMT hypotheses, we found that several variables not included in the original PMT, such as feelings of dread or negative emotions associated with earthquakes, are important predictors of intentions to adopt hazard adjustments. Results of this research can help guide future earthquake risk management in Oklahoma, providing insights that can be used to help residents identify and take appropriate actions to reduce their earthquake risk to reduce their risk. Local and state governments in Oklahoma should work to raise awareness of earthquake risk and use our research findings to emphasize adjustment measures that have low adoption intentions and high potential to reduce risk, and that are relatively cheap and easy to install (e.g., installing secure cabinets). Likewise, stakeholders across the state should work to eliminate financial barriers by providing subsidies or government loans for costly adjustment measures (e.g., purchasing earthquake insurance) that protect individuals and property from future earthquake hazards. Local emergency managers should also work to increase households’ familiarity and knowledge about earthquake risks and communicate the multiuse functions of many adjustment activities, which we find to be a strong predictor of adjustments.

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Data Availability Statement

All data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.

Acknowledgments

This work is fully supported by the National Science Foundation (CMMI 1827851). The opinions, findings, conclusions, and recommendations expressed in this paper are those of the authors and do not necessarily reflect the views of the funding agency.

References

Arnold, G., B. Farrer, and R. Holahan. 2017. “Measuring environmental and economic opinions about hydraulic fracturing: A survey of landowners in active or planned drilling units.” Rev. Policy Res. 35 (2): 258–279. https://doi.org/10.1111/ropr.12276.
Asgary, A., and K. G. Willis. 1997. “Household behaviour in response to earthquake risk: An assessment of alternative theories.” Disasters 21 (4): 354–365. https://doi.org/10.1111/1467-7717.00067.
Babcicky, P., and S. Seebauer. 2019. “Unpacking protection motivation theory: Evidence for a separate protective and non-protective route in private flood mitigation behavior.” J. Risk Res. 22 (12): 1503–1521. https://doi.org/10.1080/13669877.2018.1485175.
Becker, J. S., D. Paton, D. M. Johnston, and K. R. Ronan. 2012. “A model of household preparedness for earthquakes: How individuals make meaning of earthquake information and how this influences preparedness.” Nat. Hazards 64 (1): 107–137. https://doi.org/10.1007/s11069-012-0238-x.
Bentler, P. M. 1990a. “Comparative fit indexes in structural models.” Psychol. Bull. 107 (2): https://doi.org/10.1037/0033-2909.107.2.238.
Bentler, P. M. 1990b. “Fit indexes, Lagrange multipliers, constraint changes and incomplete data in structural models.” Multivar. Behav. Res. 25 (2): 163–172. https://doi.org/10.1207/s15327906mbr2502_3.
Blanchard-Boehm, R. D., K. A. Berry, and P. S. Showalter. 2001. “Should flood insurance be mandatory? Insights in the wake of the 1997 New Year’s Day flood in Reno–Sparks, Nevada.” Appl. Geogr. 21 (3): 199–221. https://doi.org/10.1016/S0143-6228(01)00009-1.
Boholm, Å. 1998. “Comparative studies of risk perception: A review of twenty years of research.” J. Risk Res. 1 (2): 135–163. https://doi.org/10.1080/136698798377231.
Botzen, W. J. W., H. Kunreuther, J. Czajkowski, and H. de Moel. 2019. “Adoption of individual flood damage mitigation measures in New York City: An extension of protection motivation theory.” Risk Anal. 39 (10): 2143–2159. https://doi.org/10.1111/risa.13318.
Browne, M. W., and R. Cudeck. 1992. “Alternative ways of assessing model fit.” Sociological Methods Res. 21 (2): 230–258. https://doi.org/10.1177/0049124192021002005.
Brun, W. 1992. “Cognitive components in risk perception: Natural versus manmade risks.” J. Behav. Decis. Making 5 (2): 117–132. https://doi.org/10.1002/bdm.3960050204.
Bryne, B. 2010. Structural equation modeling with AMOS: Basic concepts, applications, and programming. New York: Routledge.
Bubeck, P., W. Botzen, and J. Aerts. 2012. “A review of risk perceptions and other factors that influence flood mitigation behavior.” Risk Anal. 32 (9): 1481–1495. https://doi.org/10.1111/j.1539-6924.2011.01783.x.
Campbell, N. M., M. Leon-Corwin, L. A. Ritchie, and J. Vickery. 2020. “Human-induced seismicity: Risk perceptions in the state of Oklahoma.” Extr. Ind. Soc. 7 (1): 119–126. https://doi.org/10.1016/j.exis.2020.01.005.
Chen, X., and R. E. Abercrombie. 2020. “Improved approach for stress drop estimation and its application to an induced earthquake sequence in Oklahoma.” Geophys. J. Int. 223 (1): 233–253. https://doi.org/10.1093/gji/ggaa316.
Choma, B. L., Y. Hanoch, M. Gummerum, and G. Hodson. 2013. “Relations between risk perceptions and socio-political ideology are domain- and ideology- dependent.” Personality Individual Differ. 54 (1): 29–34. https://doi.org/10.1016/j.paid.2012.07.028.
Cole, G. A., and S. B. Withey. 1981. “Perspectives on risk perceptions.” Risk Anal. 1 (2): 143–163. https://doi.org/10.1111/j.1539-6924.1981.tb01409.x.
Derakhshan, S., M. E. Hodgson, and S. L. Cutter. 2020. “Vulnerability of populations exposed to seismic risk in the state of Oklahoma.” Appl. Geogr. 124 (Nov): 102295. https://doi.org/10.1016/j.apgeog.2020.102295.
Dillman, D. A., J. D. Smyth, and L. M. Christian. 2014. Internet, phone, mail, and mixed-mode surveys: The tailored design method. Hoboken, NJ: John Wiley & Sons.
Dillon, R. L., C. H. Tinsley, and M. Cronin. 2011. “Why near-miss events can decrease an individual’s protective response to hurricanes.” Risk Anal. 31 (3): 440–449. https://doi.org/10.1111/j.1539-6924.2010.01506.x.
Dooley, D., R. Catalano, S. Mishra, and S. Serxner. 1992. “Earthquake preparedness: Predictors in a community survey.” J. Appl. Social Psychol. 22 (6): 451–470. https://doi.org/10.1111/j.1559-1816.1992.tb00984.x.
Duží, B., D. Vikhrov, I. Kelman, R. Stojanov, and D. Juřička. 2017. “Household measures for river flood risk reduction in the Czech Republic.” J. Flood Risk Manage. 10 (2): 253–266. https://doi.org/10.1111/jfr3.12132.
Eiser, J. R., A. Bostrom, I. Burton, D. M. Johnston, J. McClure, D. Paton, J. van der Pligt, and M. P. White. 2012. “Risk interpretation and action: A conceptual framework for responses to natural hazards.” Int. J. Disaster Risk Reduct. 1 (1): 5–16. https://doi.org/10.1016/j.ijdrr.2012.05.002.
Ferrer, R. A., W. M. P. Klein, A. Persoskie, A. Avishai-Yitshak, and P. Sheeran. 2016. “The tripartite model of risk perception (TRIRISK): Distinguishing deliberative, affective, and experiential components of perceived risk.” Ann. Behav. Med. 50 (5): 653–663. https://doi.org/10.1007/s12160-016-9790-z.
Fischhoff, B., and J. D. Kadvany. 2011. Risk: A very short introduction. Oxford, UK: Oxford University Press.
Fischhoff, B., P. Slovic, S. Lichtenstein, S. Read, and B. Combs. 1978. “How safe is safe enough? A psychometric study of attitudes towards technological risks and benefits.” Policy Sci. 9 (2): 127–152. https://doi.org/10.1007/BF00143739.
Ge, Y., W. G. Peacock, and M. K. Lindell. 2011. “Florida households’ expected responses to hurricane hazard mitigation incentives.” Risk Anal. 31 (10): 1676–1691. https://doi.org/10.1111/j.1539-6924.2011.01606.x.
Ghasemi, B., G. T. Kyle, and J. D. Absher. 2020. “An examination of the social-psychological drivers of homeowner wildfire mitigation.” J. Environ. Psychol. 70 (Aug): 101442. https://doi.org/10.1016/j.jenvp.2020.101442.
Gill, D. A., and L. A. Ritchie. 2018. “Contributions of technological and natech disaster research to the social science disaster paradigm.” In Handbook of disaster research, 39–60. Cham, Switzerland: Springer.
Gotham, K. F., R. Campanella, K. Lauve-Moon, and B. Powers. 2017. “Hazard experience, geophysical vulnerability, and flood risk perceptions in a postdisaster city, the case of New Orleans.” Risk Anal. 38 (2): 345–356. https://doi.org/10.1111/risa.12830.
Greer, A., H.-C. Wu, and H. Murphy. 2018. “A serendipitous, quasi-natural experiment: Earthquake risk perceptions and hazard adjustments among college students.” Nat. Hazards 93 (2): 987–1011. https://doi.org/10.1007/s11069-018-3337-5.
Greer, A., H.-C. Wu, and H. Murphy. 2020. “Household adjustment to seismicity in Oklahoma.” Earthquake Spectra 36 (4): 2019–2032. https://doi.org/10.1177/8755293020919424.
Grothmann, T., and F. Reusswig. 2006. “People at risk of flooding: Why some residents take precautionary action while others do not.” Nat. Hazards 38 (1–2): 101–120. https://doi.org/10.1007/s11069-005-8604-6.
Holland, A. 2013. “Earthquakes triggered by hydraulic fracturing in south-central Oklahoma.” Bull. Seismol. Soc. Am. 103 (3): 1784–1792. https://doi.org/10.1785/0120120109.
Hu, L. T., and P. M. Bentler. 1999. “Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives.” Struct. Equation Model. 6 (1): 1–55. https://doi.org/10.1080/10705519909540118.
Huntsman, D., H.-C. Wu, and A. Greer. 2021. “What matters? Exploring drivers of basic and complex adjustments to tornadoes among college students.” Weather Clim. Soc. 13 (3): 665–679. https://doi.org/10.1175/WCAS-D-21-0008.1.
Jackson, E. L. 1981. “Response to earthquake hazard: The west coast of North America.” Environ. Behav. 13 (4): 387–416. https://doi.org/10.1177/0013916581134001.
Jackson, R. B., A. Vengosh, J. W. Carey, R. J. Davies, T. H. Darrah, F. O’Sullivan, and G. Pétron. 2014. “The environmental costs and benefits of fracking.” Annu. Rev. Environ. Resour. 39 (Oct): 327–362. https://doi.org/10.1146/annurev-environ-031113-144051.
Jenkins-Smith, H., J. Ripberger, C. Silva, N. Carlson, K. Gupta, M. Henderson, and A. Goodin. 2017. “The Oklahoma meso-scale integrated socio-geographic network: A technical overview.” J. Atmos. Oceanic Technol. 34 (11): 2431–2441. https://doi.org/10.1175/JTECH-D-17-0088.1.
Johann, L., S. A. Shapiro, and Carsten Dinske. 2018. “The surge of earthquakes in central Oklahoma has features of reservoir-induced seismicity.” Sci. Rep. 8 (1): 1–14. https://doi.org/10.1038/s41598-018-29883-9.
Jones, C. 2016. “Insurers pay record $1.5 million in claims for Prague earthquake, but overall approvals are few.” In Tulsa world. Tulsa, OK: World Publishing Company.
Ju, Y., and M. You. 2021. “It’s politics, isn’t it? Investigating direct and indirect influences of political orientation on risk perception of COVID-19.” Risk Anal. 42 (1): 56–68. https://doi.org/10.1111/risa.13801.
Junod, A. N., J. B. Jacquet, F. Fernando, and L. Flage. 2018. “Life in the Goldilocks zone: Perceptions of place disruption on the periphery of the Bakken Shale.” Soc. Nat. Resour. 31 (2): 200–217. https://doi.org/10.1080/08941920.2017.1376138.
Kahan, D. M., D. Braman, J. Gastil, P. Slovic, and C. K. Mertz. 2007. “Culture and identity-protective cognition: Explaining the white-male effect in risk perception.” J. Empirical Legal Stud. 4 (3): 465–505. https://doi.org/10.1111/j.1740-1461.2007.00097.x.
Kahan, D. M., E. Peters, M. Wittlin, P. Slovic, L. L. Ouellette, D. Braman, and G. Mandel. 2012. “The polarizing impact of science literacy and numeracy on perceived climate change risks.” Nat. Clim. Change 2 (10): 732–735. https://doi.org/10.1038/nclimate1547.
Kasperson, R. E., and K. D. Pijawka. 1985. “Societal response to hazards and major hazard events: Comparing natural and technological hazards.” Public Administration Rev. 45 (Jan): 7. https://doi.org/10.2307/3134993.
Kellens, W., R. Zaalberg, T. Neutens, W. Vanneuville, and P. de Maeyer. 2011. “An analysis of the public perception of flood risk on the Belgian coast.” Risk Anal. 31 (7): 1055–1068. https://doi.org/10.1111/j.1539-6924.2010.01571.x.
Keller, C., M. Siegrist, and H. Gutscher. 2006. “The role of the affect and availability heuristics in risk communication.” Risk Anal. 26 (3): 631–639. https://doi.org/10.1111/j.1539-6924.2006.00773.x.
Kung, Y., and S. Chen. 2012. “Perception of earthquake risk in Taiwan: Effects of gender and past earthquake experience.” Risk Anal. 32 (9): 1535–1546. https://doi.org/10.1111/j.1539-6924.2011.01760.x.
Kunreuther, H., and P. Slovic. 1996. “Science, values, and risk.” ANNALS Am. Acad. Political Social Sci. 545 (1): 116–125. https://doi.org/10.1177/0002716296545001012.
Lindell, M. K. 2013. “Disaster studies.” Curr. Sociol. 61 (5–6): 797–825. https://doi.org/10.1177/0011392113484456.
Lindell, M. K., S. Arlikatti, and C. S. Prater. 2009. “Why people do what they do to protect against earthquake risk: Perceptions of hazard adjustment attributes.” Risk Anal. 29 (8): 1072–1088. https://doi.org/10.1111/j.1539-6924.2009.01243.x.
Lindell, M. K., and S. N. Hwang. 2008. “Households’ perceived personal risk and responses in a multihazard environment.” Risk Anal. 28 (2): 539–556. https://doi.org/10.1111/j.1539-6924.2008.01032.x.
Lindell, M. K., and R. W. Perry. 2000. “Household adjustment to earthquake hazard a review of research.” Environ. Behav. 32 (4): 461–501. https://doi.org/10.1177/00139160021972621.
Lindell, M. K., and C. S. Prater. 2000. “Household adoption of seismic hazard adjustments: A comparison of residents in two states.” Int. J. Mass Emergencies Disasters 18 (2): 317–338.
Lindell, M. K., and C. S. Prater. 2002. “Risk area residents’ perceptions and adoption of seismic hazard adjustments.” J. Appl. Social Psychol. 32 (11): 2377–2392. https://doi.org/10.1111/j.1559-1816.2002.tb01868.x.
Lindell, M. K., C. S. Prater, H.-C. Wu, S. Huang, D. M. Johnston, J. S. Becker, and H. Shiroshita. 2016. “Immediate behavioural responses to earthquakes in Christchurch, New Zealand, and Hitachi, Japan.” Disasters 40 (1): 85–111. https://doi.org/10.1111/disa.12133.
Lindell, M. K., and D. J. Whitney. 2000. “Correlates of household seismic hazard adjustment adoption.” Risk Anal. 20 (1): 13–26. https://doi.org/10.1111/0272-4332.00002.
Marsh, H. W., and D. Hocevar. 1985. “Application of confirmatory factor analysis to the study of self-concept. First- and higher order factor models and their invariance across groups.” Psychol. Bull. 97 (3): 562. https://doi.org/10.1037/0033-2909.97.3.562.
Martin, I. M., H. Bender, and C. Raish. 2007. “What motivates individuals to protect themselves from risks: The case of wildland fires.” Risk Anal. 27 (4): 887–900. https://doi.org/10.1111/j.1539-6924.2007.00930.x.
Meyer, M. A. 2016. “Elderly perceptions of social capital and age-related disaster vulnerability.” Disaster Med. Public Health Preparedness 2 (2): 1–8. https://doi.org/10.1017/dmp.2016.139.
Murphy, H., A. Greer, and H.-C. Wu. 2018. “Trusting government to mitigate a new hazard: The case of Oklahoma earthquakes.” Risk Hazards Crisis Public Policy 9 (3): 357–380. https://doi.org/10.1002/rhc3.12141.
Nakayachi, K., H. Yokoyama, and S. Oki. 2015. “Public anxiety after the 2011 Tohoku earthquake: Fluctuations in hazard perception after catastrophe.” J. Risk Res. 18 (2): 156–169. https://doi.org/10.1080/13669877.2013.875936.
Newman, S. M., M. S. Carroll, P. J. Jakes, D. R. Williams, and L. L. Higgins. 2014. “Earth, wind, and fire: Wildfire risk perceptions in a hurricane-prone environment.” Soc. Nat. Resour. 27 (11): 1161–1176. https://doi.org/10.1080/08941920.2014.918234.
Ng’ombe, J. N., and T. A. Boyer. 2019. “Determinants of earthquake damage liability assignment in Oklahoma: A Bayesian tobit censored approach.” Energy Policy 131 (Aug): 422–433. https://doi.org/10.1016/j.enpol.2019.05.013.
Oakley, M., S. M. Himmelweit, P. Leinster, and M. R. Casado. 2020. “Protection motivation theory: A proposed theoretical extension and moving beyond rationality-the case of flooding.” Water (Switzerland) 12 (7): 1848. https://doi.org/10.3390/W12071848.
O’Brien, P., and D. S. Mileti. 1992. “Citizen participation in emergency response.” Int. J. Mass Emergencies Disasters 10 (1): 71–89.
Ong, A. K. S., Y. T. Prasetyo, F. C. Lagura, R. N. Ramos, K. M. Sigua, J. A. Villas, M. N. Young, J. F. T. Diaz, S. F. Persada, and A. A. N. P. Redi. 2021. “Factors affecting intention to prepare for mitigation of ‘the big one’ earthquake in the Philippines: Integrating protection motivation theory and extended theory of planned behavior.” Int. J. Disaster Risk Reduct. 63 (Sep): 102467. https://doi.org/10.1016/j.ijdrr.2021.102467.
Palm, R. 1998. “Urban earthquake hazards: The impacts of culture on perceived risk and response in the USA and Japan.” Appl. Geogr. 18 (1): 35–46. https://doi.org/10.1016/S0143-6228(97)00044-1.
Paton, D., L. Smith, and D. Johnston. 2000. “Volcanic hazards: Risk perception and preparedness.” N. Z. J. Psychol. 29 (2): 86–91.
Peers, J. B., M. K. Lindell, C. E. Gregg, A. K. Reeves, A. T. Joyner, and D. M. Johnston. 2021. “Multi-hazard perceptions at Long Valley Caldera, California, USA.” Int. J. Disaster Risk Reduct. 52 (Jan): 101955. https://doi.org/10.1016/j.ijdrr.2020.101955.
Pennebaker, J., and K. Harber. 1993. “A social stage model of collective coping: The Loma Prieta earthquake and the Persian Gulf War.” J. Social Issues 49 (4): 125–145. https://doi.org/10.1111/j.1540-4560.1993.tb01184.x.
Perry, R., and M. Lindell. 1990. “Predicting long-term adjustment to volcano hazard.” Int. J. Mass Emergencies Disasters 8 (2): 117–136.
Perry, R. W., and M. K. Lindell. 2008. “Volcanic risk perception and adjustment in a multi-hazard environment.” J. Volcanol. Geotherm. Res. 172 (3): 170–178. https://doi.org/10.1016/j.jvolgeores.2007.12.006.
Peters, E. M., B. Burraston, and C. K. Mertz. 2004. “An emotion-based model of risk perception and stigma susceptibility: Cognitive appraisals of emotion, affective reactivity, worldviews, and risk perceptions in the generation of technological stigma.” Risk Anal. 24 (5): 1349–1367. https://doi.org/10.1111/j.0272-4332.2004.00531.x.
Petersen, M. D., et al. 2018. “2018 one-year seismic hazard forecast for the central and eastern United States from induced and natural earthquakes.” Seismol. Res. Lett. 89 (3): 1049–1061. https://doi.org/10.1785/0220180005.
Pidgeon, N. 1998. “Risk assessment, risk values and the social science programme: Why we do need risk perception research.” Reliab. Eng. Syst. Saf. 59 (1): 5–15. https://doi.org/10.1016/S0951-8320(97)00114-2.
Pollard, J. A., and D. C. Rose. 2019. “Lightning rods, earthquakes, and regional identities: Towards a multi-scale framework of assessing fracking risk perception.” Risk Anal. 39 (2): 473–487. https://doi.org/10.1111/risa.13167.
Porter, R. T. J., A. Striolo, H. Mahgerefteh, and J. F. Walker. 2019. “Addressing the risks of induced seismicity in subsurface energy operations.” Wiley Interdiscip. Rev.: Energy Environ. 8 (2): e324. https://doi.org/10.1002/wene.324.
Prater, C. S., and M. K. Lindell. 2000. “Politics of hazard mitigation.” Nat. Hazard. Rev. 1 (2): 73–82. https://doi.org/10.1061/(ASCE)1527-6988(2000)1:2(73).
Renn, O. 1992. “Concepts of risk: A classification.” Social Theor. Risk. 53–79. https://doi.org/10.18419/opus-7248.
Renn, O. 1998. “Three decades of risk research.” J. Risk Res. 1 (1): 49–71. https://doi.org/10.1080/136698798377321.
Ripberger, J. T., H. Jenkins-Smith, C. L. Silva, J. Czajkowski, H. Kunreuther, and K. M. Simmons. 2017. “Tornado damage mitigation: Homeowner support for enhanced building codes in Oklahoma.” Risk Anal. 38 (11): 2300–2317. https://doi.org/10.1111/risa.13131.
Ritchie, L. A., M. A. Long, M. Leon-Corwin, and D. A. Gill. 2021. “Citizen perceptions of fracking-related earthquakes: Exploring the roles of institutional failures and resource loss in Oklahoma, United States.” Energy Res. Social Sci. 80 (Oct): 102235. https://doi.org/10.1016/j.erss.2021.102235.
Rogers, R. 1975. “A protection motivation theory of fear appeals and attitude change.” J. Psychol.: Interdiscip. Appl. 91 (1): 93–114. https://doi.org/10.1080/00223980.1975.9915803.
Russell, L., J. Goltz, and L. Bourque. 1995. “Preparedness and hazard mitigation actions before and after two earthquakes.” Environ. Behav. 27 (6): 744–770. https://doi.org/10.1177/0013916595276002.
Seebauer, S., and P. Babcicky. 2020. “(Almost) all quiet over one and a half years: A longitudinal study on causality between key determinants of private flood mitigation.” Risk Anal. 41 (6): 958–975. https://doi.org/10.1111/risa.13598.
Sjöberg, L. 1998. “Worry and risk perception.” Risk Anal. 18 (1): 85–93. https://doi.org/10.1111/j.1539-6924.1998.tb00918.x.
Slimak, M. W., and T. Dietz. 2006. “Personal values, beliefs, and ecological risk perception.” Risk Anal. 26 (6): 1689–1705. https://doi.org/10.1111/j.1539-6924.2006.00832.x.
Slovic, P., M. L. Finucane, E. Peters, and D. G. MacGregor. 2004. “Risk as analysis and risk as feelings.” Risk Anal. 24 (2): 311–322. https://doi.org/10.1111/j.0272-4332.2004.00433.x.
Starr, C. 1969. “Social benefit versus technological risk.” In Readings in risk, edited by T. Glickman and M. Gough. 183–194. Washington, DC: Resources for the Future.
Steelman, T. A., S. M. McCaffrey, A. K. Velez, and J. A. Briefel. 2015. “What information do people use, trust, and find useful during a disaster? Evidence from five large wildfires.” Nat. Hazards 76 (1): 615–634. https://doi.org/10.1007/s11069-014-1512-x.
Stojanov, R., B. Duží, T. Danek, D. Nemec, and D. Procházka. 2015. “Adaptation to the impacts of climate extremes in central Europe: A case study in a rural area in the Czech Republic.” Sustainability (Switzerland) 7 (9): 12758–72786. https://doi.org/10.3390/su70912758.
Taylor, J., M. Çelebi, A. Greer, E. Jampole, A. Masroor, S. Melton, D. Norton, N. Paul, E. Wilson, and Y. Xiao. 2017. “EERI earthquake reconnaissance team report: M5.0 Cushing, Oklahoma, USA Earthquake on November 7, 2016.” In EERI learning from earthquakes program. Oakland, CA: The Institute.
The New York Times. 2016. “Oklahoma election results 2016.” August 1, 2017.
Tierney, K. J. 1993. “Socio-economic aspects of hazard mitigation.” In Research seminar on socio-economic aspects of disasters in Central America. Newark, DE: Disaster Research Center at Univ. of Delaware.
Tierney, K. J. 2014. The social roots of risk: Producing disasters, promoting resilience. Redwood City, CA: Stanford University Press.
Tinsley, C. H., R. L. Dillon, and M. A. Cronin. 2012. “How near-miss events amplify or attenuate risky decision making.” Manage. Sci. 58 (9): 1596–1613. https://doi.org/10.1287/mnsc.1120.1517.
Tracy, A., and A. Javernick-Will. 2020. “Credible sources of information regarding induced seismicity.” Sustainability (Switzerland) 12 (6): 2308. https://doi.org/10.3390/su12062308.
Tracy, A., A. Javernick-Will, and C. Torres-Machi. 2021. “Human-induced or natural hazard? Factors influencing perceptions of actions to be taken in response to induced seismicity.” Int. J. Disaster Risk Reduct. 57 (Apr): 102186. https://doi.org/10.1016/j.ijdrr.2021.102186.
Tversky, A., and D. Kahneman. 1973. “Availability: A heuristic for judging frequency and probability.” Cognit. Psychol. 5 (2): 207–232. https://doi.org/10.1016/0010-0285(73)90033-9.
United States Census Bureau. 2019. “US Census Bureau QuickFacts: Oklahoma; United States.” Accessed April 13, 2022. https://www.census.gov/acs/www/data/data-tables-and-tools/data-profiles/2019/.
van der Linden, S. 2015. “The social-psychological determinants of climate change risk perceptions: Towards a comprehensive model.” J. Environ. Psychol. 41 (Mar): 112–124. https://doi.org/10.1016/j.jenvp.2014.11.012.
Vásquez, W. F., T. J. Murray, S. Meng, and P. Mozumder. 2018. “Risk perceptions of future hurricanes: Survey evidence from the northeastern and mid-Atlantic United States.” Nat. Hazard. Rev. 19 (1): 04017026. https://doi.org/10.1061/(ASCE)NH.1527-6996.0000260.
Västfjäll, D., E. Peters, and P. Slovic. 2008. “Affect, risk perception and future optimism after the tsunami disaster.” Judgement Decis. Making 3 (1): 64–72. https://doi.org/10.4324/9781849776677.
Visschers, V. H. M., and M. Siegrist. 2013. “How a nuclear power plant accident influences acceptance of nuclear power: Results of a longitudinal study before and after the Fukushima disaster.” Risk Anal. 33 (2): 333–347. https://doi.org/10.1111/j.1539-6924.2012.01861.x.
Walpole, H. D., and R. S. Wilson. 2021. “Extending a broadly applicable measure of risk perception: The case for susceptibility.” J. Risk Res. 24 (2): 135–147. https://doi.org/10.1080/13669877.2020.1749874.
Westcott, R., K. Ronan, H. Bambrick, and M. Taylor. 2017. “Expanding protection motivation theory: Investigating an application to animal owners and emergency responders in bushfire emergencies.” BMC Psychol. 5 (1): 1–4. https://doi.org/10.1186/s40359-017-0182-3.
Whitmarsh, L. 2008. “Are flood victims more concerned about climate change than other people? The role of direct experience in risk perception and behavioural response.” J. Risk Res. 11 (3): 351–374. https://doi.org/10.1080/13669870701552235.
Wilson, R. S., A. Zwickle, and H. Walpole. 2019. “Developing a broadly applicable measure of risk perception.” Risk Anal. 39 (4): 777–791. https://doi.org/10.1111/risa.13207.
Wright, D. B. 2002. First steps in Statistics. London: SAGE.
Wu, H.-C., A. Greer, and H. Murphy. 2020. “Perceived stakeholder information credibility and hazard adjustments: A case of induced seismic activities in Oklahoma.” Nat. Hazard. Rev. 21 (3): 04020017. https://doi.org/10.1061/(ASCE)NH.1527-6996.0000378.
Wu, H.-C., M. Lindell, and C. Prater. 2013. “The logistics of household hurricane evacuation during Hurricane Ike.” In Logistics: Perspectives, approaches and challenges, edited by J. Cheung and H. Song, 127–140. Hauppauge, NY: Nova Science Publishers.
Wu, H.-C., M. K. Lindell, and C. S. Prater. 2012. “Logistics of hurricane evacuation in Hurricanes Katrina and Rita.” Transp. Res. Part F: Psychol. Behav. 15 (4): 445–461. https://doi.org/10.1016/j.trf.2012.03.005.
Wu, H.-C., M. K. Lindell, and C. S. Prater. 2015. “Process tracing analysis of hurricane information displays.” Risk Anal. 35 (12): 2202–2220. https://doi.org/10.1111/risa.12423.
Zhai, G., M. Shirzaei, M. Manga, and X. Chen. 2019. “Pore-pressure diffusion, enhanced by poroelastic stresses, controls induced seismicity in Oklahoma.” Proc. Natl. Acad. Sci. U. S. A. 116 (33): 16228–16233. https://doi.org/10.1073/pnas.1819225116.
Zwickle, A., and R. S. Wilson. 2014. “Construing risk: Implications for risk communication.” In Effective risk communication, edited by J. Arvai and Rivers L. III, 190–202. London: Routledge.

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Go to Natural Hazards Review
Natural Hazards Review
Volume 24Issue 2May 2023

History

Received: Jan 4, 2022
Accepted: Aug 26, 2022
Published online: Dec 23, 2022
Published in print: May 1, 2023
Discussion open until: May 23, 2023

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Graduate Student, College of Emergency Preparedness, Homeland Security and Cybersecurity, Univ. at Albany, 1400 Washington Ave., ETEC 262, Albany, NY 12222 (corresponding author). ORCID: https://orcid.org/0000-0002-4861-2001. Email: [email protected]
Alex Greer
Professor, College of Emergency Preparedness, Homeland Security and Cybersecurity, Univ. at Albany, 1400 Washington Ave., ETEC 350J, Albany, NY 12222.
Hao-Che Wu
Professor, Dept. of Emergency Management and Disaster Science, Univ. of North Texas, 308C Chilton Hall, 1155 Union Circle #310637, Denton, TX 76203.

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