The DOI matches its Crossref record; 114 of the 114 references it cites were found in a registry or an index.
The Protective Action Decision Model: Theoretical Modifications and Additional Evidence
Abstract
The Protective Action Decision Model (PADM) is a multistage model that is based on findings from research on people's responses to environmental hazards and disasters. The PADM integrates the processing of information derived from social and environmental cues with messages that social sources transmit through communication channels to those at risk. The PADM identifies three critical predecision processes (reception, attention, and comprehension of warnings or exposure, attention, and interpretation of environmental/social cues)—that precede all further processing. The revised model identifies three core perceptions—threat perceptions, protective action perceptions, and stakeholder perceptions—that form the basis for decisions about how to respond to an imminent or long‐term threat. The outcome of the protective action decision‐making process, together with situational facilitators and impediments, produces a behavioral response. In addition to describing the revised model and the research on which it is based, this article describes three applications (development of risk communication programs, evacuation modeling, and adoption of long‐term hazard adjustments) and identifies some of the research needed to address unresolved issues.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Additional items were developed based on key constructs from theoretical frameworks such as the Extended Parallel Process Model (EPPM) (Witte, 1992) and the Protective Action Decision Model (PADM) (Lindell & Perry, 2012).”
From Assessing earthquake preparedness in a culturally diverse international students population: a case of Ehime university in Shikoku, Japan (2025) · cites this paper as Lindell & Perry, 2012
Citations
Cites
“Stress: appraisal and coping,”
Folkman, S. (2013) · Encyclopedia of Behavioral Medicine · doi:10.1007/978-1-4419-1005-9_215 · Cited by 27,833
Book Review: The Psychology of Attitudes
Chakravarti, D., Eagly, A. H., & Chaiken, S. (1997) · Journal of Marketing Research · doi:10.2307/3151869 · Cited by 7,173
A Protection Motivation Theory of Fear Appeals and Attitude Change1
Rogers, R. W. (1975) · The Journal of Psychology · doi:10.1080/00223980.1975.9915803 · Cited by 6,805
Communication and Persuasion: Central and Peripheral Routes to Attitude Change
Marquart, F., & Naderer, B. (2015) · Springer eBooks · doi:10.1007/978-3-658-09923-7_20 · Cited by 5,011
French, J. R. P., & Raven, B. H. (1986) · University of Pittsburgh Press eBooks · doi:10.2307/jj.12381759.38 · Cited by 4,544
Decision making: A psychological analysis of conflict, choice, and commitment
(1978) · Evaluation and Program Planning · doi:10.1016/0149-7189(78)90042-3 · Cited by 3,956
How safe is safe enough? A psychometric study of attitudes towards technological risks and benefits
Fischhoff, B., Slovic, P., Lichtenstein, S., Read, S. W., & Combs, B. (1978) · Policy Sciences · doi:10.1007/bf00143739 · Cited by 2,838
Predicting and Changing Behavior
Fishbein, M., & Ajzen, I. (2011) · doi:10.4324/9780203838020 · Cited by 2,807
A Meta‐Analysis of Research on Protection Motivation Theory
Floyd, D. L., Prentice‐Dunn, S., & Rogers, R. W. (2000) · Journal of Applied Social Psychology · doi:10.1111/j.1559-1816.2000.tb02323.x · Cited by 2,527
THE NATURE OF BELIEF SYSTEMS IN MASS PUBLICS
Converse, P. E. (2004) · Aarhus University Press eBooks · doi:10.2307/jj.35529187.18 · Cited by 2,497
Research works printed but not linked: 13
- Mileti D S SorensenJH.Why people take precautions against natural disasters. Pp.296–320inWeinsteinN(ed).Taking Care: Why People Take Precautions. New York :Cambridge University Press 1987.
- BurtonI Kates R WhiteGF.The Environment as Hazard 2nd edition. New York :Guildford Press 1993.
- McGuireWJ.The nature of attitudes and attitude change. Pp.329–334inLindseyG AronsonE(eds).Handbook of Social Psychology 2nd edition. Reading MA :Addison‐Wesley 1969.
- McGuireWJ.The nature of attitudes and attitude change. Pp.233–256inLindseyG AronsonE(eds).Handbook of Social Psychology 3rd edition. New York :Random House 1985.
- RogersGO SorensenJH.Diffusion of emergency warnings.Environmental Professional 1988;10:185–198.
- PalmR HodgsonM Blanchard RD LyonsD.Earthquake Insurance in California. Boulder CO :Westview Press 1990.
- DavisMS.Living along the fault line: An update on earthquake awareness and preparedness in Southern California.Urban Resources 1989;5:8–14.
- GarciaEM.Earthquake preparedness in California: A survey of Irvine residents.Urban Resources 1989;5:15–19.
- WitheyS.Reaction to uncertain threat. Pp.93–123inBakerG ChapmanD(eds).Man and Society in Disaster. New York :Basic Books 1962.
- BakerEJ.Hurricane evacuation in the United States. Pp.98–108inPielkeRJr PielkeRSr(eds).Storms Vol .1. London :Routledge 2000.
- ProchaskaJO JohnsonS LeeP.The transtheoretical model of behavior change. Pp.59–84inGochmanDS(ed).Handbook of Health Behavior Research I: Personal and Social Determinants. New York :Plenum Press 1997.
- SchumanH KaltonG.Survey methods. Pp.635–698inLindzeyG AronsonE(eds).The Handbook of Social Psychology 3rd edition Vol.1. Reading MA :Addison‐Wesley 1985.
- GladwinH PeacockWG.Warning and evacuation: A night for hard houses. Pp.52–74inPeacockWG MorrowBH GladwinH(eds).Hurricane Andrew: Gender Ethnicity and the Sociology of Disasters. London :Routledge 1997.
Cited by
Sorted by citations
Items 201–300 of 1,867
Public risk perception and willingness to mitigate climate change: city smog as an example
Zhu, W., Yao, N., Guo, Q., & Wang, F. (2019) · Environmental Geochemistry and Health · doi:10.1007/s10653-019-00355-x · Cited by 51
Ahsan, M. N., Khatun, A., Islam, M. S., Vink, K., Ohara, M., & Fakhruddin, B. S. H. M. (2020) · Progress in Disaster Science · doi:10.1016/j.pdisas.2020.100065 · Cited by 51
Disaster risk reduction activities as learning
Kitagawa, K. (2020) · Natural Hazards · doi:10.1007/s11069-020-04443-5 · Cited by 75
Yildiz, A., Dickinson, J., Priego‐Hernández, J., & Teeuw, R. M. (2022) · Risk Analysis · doi:10.1111/risa.13937 · Cited by 50
Improving social media use for disaster resilience: challenges and strategies
Lam, N., Meyer, M. A., Reams, M. A., Yang, S., Lee, K., Zou, L., Mihunov, V. V., Wang, K., Kirby, R. H., & Cai, H. (2023) · International Journal of Digital Earth · doi:10.1080/17538947.2023.2239768 · Cited by 60
The development of disaster preparedness education for public: a scoping review
Guo, L., Fang, M., Liu, L., Chong, H., Zeng, W., & Hu, X. (2025) · BMC Public Health · doi:10.1186/s12889-025-21664-0 · Cited by 85
Process Tracing Analysis of Hurricane Information Displays
Wu, H., Lindell, M. K., & Prater, C. S. (2015) · Risk Analysis · doi:10.1111/risa.12423 · Cited by 49
Self-citationWireless Emergency Alert messages: Influences on protective action behaviour
Kim, G., Martel, A., Eisenman, D. P., Prelip, M. L., Arevian, A. C., Johnson, K. L., & Glik, D. C. (2019) · Journal of Contingencies and Crisis Management · doi:10.1111/1468-5973.12278 · Cited by 50
Altarawneh, L., Mackee, J., & Gajendran, T. (2018) · Procedia Engineering · doi:10.1016/j.proeng.2018.01.155 · Cited by 49
Does non‐destructive earthquake experience affect risk perception and motivate preparedness?
Sun, L., & Xue, L. (2020) · Journal of Contingencies and Crisis Management · doi:10.1111/1468-5973.12286 · Cited by 49
Household Preparedness for Tornado Hazards: The 2011 Disaster in DeKalb County, Alabama
Chaney, P. L., Weaver, G. S., Youngblood, S. A., & Pitts, K. (2013) · Weather Climate and Society · doi:10.1175/wcas-d-12-00046.1 · Cited by 49
Mechanism and strategies of post-earthquake evacuation based on cellular automata model
Song, Y., Xie, K., & Su, W. (2018) · International Journal of Disaster Risk Reduction · doi:10.1016/j.ijdrr.2018.11.020 · Cited by 49
Peek, L., Champeau, H., Austin, J., Mathews, M. C., & Wu, H. (2020) · American Behavioral Scientist · doi:10.1177/0002764220938105 · Cited by 49
Herrera-Restrepo, O., Triantis, K. P., Trainor, J., Murray‐Tuite, P. M., & Edara, P. K. (2015) · Omega · doi:10.1016/j.omega.2015.04.019 · Cited by 49
Wang, F., Wei, J., & Shi, X. (2017) · Disasters · doi:10.1111/disa.12240 · Cited by 46
Local residents' risk perceptions in response to shale gas exploitation: Evidence from China
Yu, C., Huang, S., Qin, P., & Chen, X. (2017) · Energy Policy · doi:10.1016/j.enpol.2017.10.004 · Cited by 48
Sending a message: How significant events have influenced the warnings landscape in Australia
Anderson-Berry, L., Achilles, T., Panchuk, S., Mackie, B., Canterford, S., Leck, A., & Bird, D. K. (2018) · International Journal of Disaster Risk Reduction · doi:10.1016/j.ijdrr.2018.03.005 · Cited by 48
Tan, S., & Moinuddin, K. (2019) · Reliability Engineering & System Safety · doi:10.1016/j.ress.2019.03.012 · Cited by 48
Khew, Y. T. J., Jarzebski, M. P., Fatma, D., Carlos, R. S., Gu, J., Esteban, M., Aránguiz, R., & Akiyama, T. (2015) · International Journal of Disaster Risk Reduction · doi:10.1016/j.ijdrr.2015.07.013 · Cited by 48
A Yardstick for Danger: Developing a Flexible and Sensitive Measure of Risk Perception
Walpole, H., & Wilson, R. S. (2021) · Risk Analysis · doi:10.1111/risa.13704 · Cited by 47
de Boer, J., Botzen, W. J. W., & Terpstra, T. (2015) · Risk Analysis · doi:10.1111/risa.12289 · Cited by 47
Public attention to extreme weather as reflected by social media activity
Silver, A., & Andrey, J. (2019) · Journal of Contingencies and Crisis Management · doi:10.1111/1468-5973.12265 · Cited by 47
Villodre, J., & Criado, J. I. (2020) · Government Information Quarterly · doi:10.1016/j.giq.2020.101521 · Cited by 47
Mehta, A. M., Weeks, C. S., & Tyquin, E. (2020) · International Journal of Disaster Risk Reduction · doi:10.1016/j.ijdrr.2020.101820 · Cited by 47
Cheng, P., Wei, W., & Yang, S. (2024) · Journal of Hospitality and Tourism Management · doi:10.1016/j.jhtm.2024.04.009 · Cited by 51
Contemporary flood risk perceptions in England: Implications for flood risk management foresight
Bang, H. N., & Burton, N. C. (2021) · Climate Risk Management · doi:10.1016/j.crm.2021.100317 · Cited by 45
Siam, M. R. K., Wang, H., Lindell, M. K., Chen, C., Vlahogianni, E. I., & Axhausen, K. W. (2022) · Transportation Research Part D Transport and Environment · doi:10.1016/j.trd.2021.103147 · Cited by 58
Self-citationXu, N., Lovreglio, R., Kuligowski, E. D., Cova, T. J., Nilsson, D., & Zhao, X. (2023) · Fire Technology · doi:10.1007/s10694-023-01363-1 · Cited by 45
Forrister, A., Kuligowski, E. D., Sun, Y., Yan, X. “., Lovreglio, R., Cova, T. J., & Zhao, X. (2023) · Travel Behaviour and Society · doi:10.1016/j.tbs.2023.100729 · Cited by 47
Witzling, L., Shaw, B. R., & Amato, M. S. (2015) · Science Communication · doi:10.1177/1075547015593085 · Cited by 45
Perception of earthquake risk: a study of the earthquake insurance pilot area in China
Tian, L., Peng, Y., & Jiang, S. (2014) · Natural Hazards · doi:10.1007/s11069-014-1257-6 · Cited by 45
Who should be blamed? The attribution of responsibility for a city smog event in China
Cheng, P., Wei, J., & Ge, Y. (2016) · Natural Hazards · doi:10.1007/s11069-016-2597-1 · Cited by 45
Confidence in authorities, neighborhood cohesion and natural hazards preparedness in Taiwan
Wei, H.-H., Sim, T., & Han, Z. (2019) · International Journal of Disaster Risk Reduction · doi:10.1016/j.ijdrr.2019.101265 · Cited by 45
Observation on copying and pasting behavior during the Tohoku earthquake: Retweet pattern changes
Kim, T.-K. (2014) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2014.03.001 · Cited by 49
Rickard, L. N., Yang, J. Z., Schuldt, J. P., Eosco, G. M., Scherer, C. W., & Daziano, R. A. (2017) · Risk Analysis · doi:10.1111/risa.12779 · Cited by 44
Dealing with inconsistent weather warnings: effects on warning quality and intended actions
Weyrich, P., Scolobig, A., & Patt, A. (2019) · Meteorological Applications · doi:10.1002/met.1785 · Cited by 44
New approaches to evacuation modelling for fire safety engineering applications
Ronchi, E., Corbetta, A., Galea, E. R., Kinateder, M. T., Kuligowski, E. D., McGrath, D., Pel, A. J., Shiban, Y., Thompson, P. A., & Toschi, F. (2019) · Fire Safety Journal · doi:10.1016/j.firesaf.2019.05.002 · Cited by 48
Hurricane Risk Perceptions and Evacuation Decision-Making in the Age of COVID-19
Collins, J. M., Polen, A., McSweeney, K., Colón-Burgos, D., & Jernigan, I. (2021) · Bulletin of the American Meteorological Society · doi:10.1175/bams-d-20-0229.1 · Cited by 44
Wu, H., Lindell, M. K., & Prater, C. S. (2015) · Natural Hazards · doi:10.1007/s11069-015-1846-z · Cited by 44
Self-citationTrust and confidence in authorities, responsibility attribution, and natural hazards risk perception
Han, Z., Liu, J., & Wu, W. (2021) · Risk Hazards & Crisis in Public Policy · doi:10.1002/rhc3.12234 · Cited by 43
Integrating social science into empirical models of coupled human and natural systems
Kline, J. D., White, E. M., Fischer, A. P., Steen-Adams, M. M., Charnley, S., Olsen, C. S., Spies, T. A., & Bailey, J. D. (2017) · Ecology and Society · doi:10.5751/es-09329-220325 · Cited by 43
Frequency of Risk‐Related News Media Messages in 2016 Coverage of Zika Virus
Sell, T. K., Watson, C., Meyer, D., Kronk, M., Ravi, S., Pechta, L. E., Lubell, K. M., & Rose, D. A. (2018) · Risk Analysis · doi:10.1111/risa.12961 · Cited by 43
Zhao, M., Rosoff, H., & John, R. S. (2018) · Risk Analysis · doi:10.1111/risa.13205 · Cited by 43
Martins, V. N., Nigg, J. M., Louis‐Charles, H. M., & Kendra, J. M. (2018) · International Journal of Disaster Risk Reduction · doi:10.1016/j.ijdrr.2018.11.003 · Cited by 43
Klockow-McClain, K. E., McPherson, R. A., & Thomas, R. P. (2019) · Annals of the American Association of Geographers · doi:10.1080/24694452.2019.1602467 · Cited by 43
Weyrich, P., Scolobig, A., Walther, F., & Patt, A. (2020) · Journal of Contingencies and Crisis Management · doi:10.1111/1468-5973.12318 · Cited by 43
Why do people not prepare for disasters? A national survey from China
Han, Z., & Wu, G. (2024) · npj natural hazards. · doi:10.1038/s44304-024-00001-2 · Cited by 42
Arlikatti, S., Taibah, H., & Andrew, S. A. (2014) · Disaster Prevention and Management An International Journal · doi:10.1108/dpm-02-2014-0022 · Cited by 42
Interdisciplinary Approach to Evacuation Modeling
Trainor, J., Murray‐Tuite, P. M., Edara, P. K., Fallah‐Fini, S., & Triantis, K. P. (2012) · Natural Hazards Review · doi:10.1061/(asce)nh.1527-6996.0000105 · Cited by 42
Integrating disciplinary contributions to achieve community resilience to natural disasters
Davidson, R. A. (2015) · Civil Engineering and Environmental Systems · doi:10.1080/10286608.2015.1011627 · Cited by 42
DeYoung, S. E., Sutton, J. N., Farmer, A. K., Neal, D. M., & Nichols, K. A. (2019) · International Journal of Disaster Risk Reduction · doi:10.1016/j.ijdrr.2019.101078 · Cited by 42
Bica, M., Demuth, J. L., Dykes, J. E., & Palen, L. A. (2019) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3290605.3300545 · Cited by 47
Goodie, A. S., Sankar, A. R., & Doshi, P. (2019) · International Journal of Disaster Risk Reduction · doi:10.1016/j.ijdrr.2019.101320 · Cited by 42
Conceptualizing Individual and Household Disaster Preparedness: The Perspective from Cameroon
Nojang, E. N., & Jensen, J. (2020) · International Journal of Disaster Risk Science · doi:10.1007/s13753-020-00258-x · Cited by 42
Determinants of full and partial household evacuation decision making in hurricane matthew
Alawadi, R. J., Murray‐Tuite, P. M., Marasco, D., Ukkusuri, S. V., & Ge, Y. (2020) · Transportation Research Part D Transport and Environment · doi:10.1016/j.trd.2020.102313 · Cited by 42
Weyrich, P., Ruin, I., Terti, G., & Scolobig, A. (2021) · International Journal of Disaster Risk Reduction · doi:10.1016/j.ijdrr.2021.102053 · Cited by 42
Beckmann, S. K., Hiete, M., Schneider, M., & Beck, C. (2021) · Humanities and Social Sciences Communications · doi:10.1057/s41599-021-00907-6 · Cited by 41
Evacuees’ information sources and reentry decision making in the aftermath of Hurricane Ike
Lin, C.-C., Siebeneck, L. K., Lindell, M. K., Prater, C. S., Wu, H., & Huang, S. (2013) · Natural Hazards · doi:10.1007/s11069-013-0853-1 · Cited by 41
Self-citationTornado Warning Response and Perceptions among Undergraduates in Nebraska
Jauernic, S. T., & Broeke, M. S. V. D. (2016) · Weather Climate and Society · doi:10.1175/wcas-d-16-0031.1 · Cited by 41
Households’ Risk Perception and Behavioral Responses to Natech Accidents
Yu, J., Cruz, A. M., & Hokugo, A. (2017) · International Journal of Disaster Risk Science · doi:10.1007/s13753-017-0116-y · Cited by 41
A Systematic Review of the Factors Affecting the Cyclone Evacuation Decision Process in Bangladesh
Ahsan, M. N., Takeuchi, K., Vink, K., Ohara, M., et al. (2016) · Journal of Disaster Research · doi:10.20965/jdr.2016.p0742 · Cited by 41
Yan, J., Wei, J., Zhao, D., Vinnikova, A., Li, L., & Wang, S. (2018) · Journal of Health Communication · doi:10.1080/10810730.2018.1500657 · Cited by 41
Johnson, B. B. (2018) · Risk Analysis · doi:10.1111/risa.13184 · Cited by 41
Preparedness and Experiences of Evacuees from the 2016 Fort McMurray Horse River Wildfire
McGee, T. K. (2019) · Fire · doi:10.3390/fire2010013 · Cited by 41
Rethinking Risk Perception and its Importance for Explaining Natural Hazard Preparedness Behavior
Scovell, M., McShane, C. J., Swinbourne, A. L., & Smith, D. (2021) · Risk Analysis · doi:10.1111/risa.13780 · Cited by 43
Wildfire Evacuation Decision Modeling Using Gps Data
Wu, A., Yan, X. “., Kuligowski, E. D., Lovreglio, R., Nilsson, D., Cova, T. J., Xu, Y., & Zhao, X. (2022) · International Journal of Disaster Risk Reduction · doi:10.1016/j.ijdrr.2022.103373 · Cited by 40
Sutton, J. N., Olson, M. K., & Waugh, N. A. (2023) · Natural Hazards Review · doi:10.1061/nhrefo.nheng-1900 · Cited by 40
Jon, I., Lindell, M. K., Prater, C. S., Huang, S., Wu, H., Johnston, D. M., Becker, J., Shiroshita, H., Doyle, E. E. H., Potter, S., et al. (2016) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph13111137 · Cited by 40
Self-citationTornado Warnings at Night: Who Gets the Message?
Mason, L. R., Ellis, K. N., Winchester, B., & Schexnayder, S. (2018) · Weather Climate and Society · doi:10.1175/wcas-d-17-0114.1 · Cited by 40
Exploring ‘everyday-life preparedness’: Three case studies from Japan
Kitagawa, K. (2018) · International Journal of Disaster Risk Reduction · doi:10.1016/j.ijdrr.2018.11.025 · Cited by 40
Technical assistance in the field of risk communication
(EFSA), E. F. S. A., Maxim, L., Mazzocchi, M., den Broucke, S. V., Zollo, F., Robinson, T. P., Rogers, C., Vrbos, D., Zamariola, G., & Smith, A. (2021) · EFSA Journal · doi:10.2903/j.efsa.2021.6574 · Cited by 42
Lindell, M. K. (2014) · Elsevier eBooks · doi:10.1016/b978-0-12-404681-8.00018-2 · Cited by 40
Self-citationLim, J. R., Liu, B. F., & Seate, A. A. (2022) · Risk Analysis · doi:10.1111/risa.13957 · Cited by 40
Besley, J. C., & Dudo, A. D. (2022) · Risk Analysis · doi:10.1111/risa.14029 · Cited by 39
Gumasing, M. J. J., & Sobrevilla, M. D. M. (2023) · Sustainability · doi:10.3390/su15086427 · Cited by 51
Household adoption of smog protective behavior: a comparison between two Chinese cities
Wei, J., Zhu, W., Marinova, D. V., & Wang, F. (2016) · Journal of Risk Research · doi:10.1080/13669877.2015.1121904 · Cited by 39
Brody, S. D., Lee, Y., & Highfield, W. E. (2016) · Disasters · doi:10.1111/disa.12216 · Cited by 39
Bakker, M. H., van Bommel, M., Kerstholt, J. H., & Giebels, E. (2018) · Public Relations Review · doi:10.1016/j.pubrev.2018.02.004 · Cited by 39
An empirical assessment of impact based tornado warnings on shelter in place decisions
Casteel, M. A. (2018) · International Journal of Disaster Risk Reduction · doi:10.1016/j.ijdrr.2018.01.036 · Cited by 41
Ouyang, Z., Yao, N., & Hu, X. (2020) · Business Strategy and the Environment · doi:10.1002/bse.2474 · Cited by 39
Yu, J., Sim, T., & Qi, W. (2021) · International Journal of Disaster Risk Reduction · doi:10.1016/j.ijdrr.2021.102734 · Cited by 39
Marquart, H., Stark, K., & Jarass, J. (2022) · Journal of Transport & Health · doi:10.1016/j.jth.2021.101325 · Cited by 38
Chen, C., Koll, C., Wang, H., & Lindell, M. K. (2023) · Natural hazards and earth system sciences · doi:10.5194/nhess-23-733-2023 · Cited by 44
Self-citationAsh, K. D. (2016) · GeoJournal · doi:10.1007/s10708-016-9700-8 · Cited by 38
People's Risk Recognition Preceding Evacuation and Its Role in Demand Modeling and Planning
Urata, J., & Pel, A. J. (2017) · Risk Analysis · doi:10.1111/risa.12931 · Cited by 38
Tsunami risk perception in southern Italy: first evidence from a sample survey
Cerase, A., Crescimbene, M., Longa, F. L., & Amato, A. (2019) · Natural hazards and earth system sciences · doi:10.5194/nhess-19-2887-2019 · Cited by 42
Taylor, A. L., Kause, A., Summers, B., & Harrowsmith, M. (2019) · Weather Climate and Society · doi:10.1175/wcas-d-18-0132.1 · Cited by 38
Hovick, S. R. A., Bigsby, E., Wilson, S. R., & Thomas, S. N. (2020) · Health Communication · doi:10.1080/10410236.2020.1804139 · Cited by 38
The Effectiveness of a Large‐Scale Flood Risk Awareness Campaign: Evidence from Two Panel Data Sets
Osberghaus, D., & Hinrichs, H. (2020) · Risk Analysis · doi:10.1111/risa.13601 · Cited by 38
Wu, J., Yang, X., Deng, X., & Xu, D. (2021) · International Journal of Disaster Risk Reduction · doi:10.1016/j.ijdrr.2021.102690 · Cited by 38
An agent-based model of short-notice tsunami evacuation in Waikiki, Hawaii
Kim, K., Kaviari, F., Pant, P., & Yamashita, E. Y. (2022) · Transportation Research Part D Transport and Environment · doi:10.1016/j.trd.2022.103239 · Cited by 38
Mapping the knowledge frontiers of public risk communication in disaster risk management
Agyepong, L. A., & Liang, X. (2022) · Journal of Risk Research · doi:10.1080/13669877.2022.2127851 · Cited by 43
Assessing Risk Following a Wireless Emergency Alert: Are 90 Characters Enough?
Casteel, M. A., & Downing, J. R. (2015) · Journal of Homeland Security and Emergency Management · doi:10.1515/jhsem-2015-0024 · Cited by 37
Improving Coastal Storm Evacuation Messages
Cuite, C. L., Shwom, R., Hallman, W. K., Morss, R. E., & Demuth, J. L. (2016) · Weather Climate and Society · doi:10.1175/wcas-d-16-0076.1 · Cited by 37
Harnessing informal education for community resilience
Feng, S., Hossain, L., & Paton, D. (2017) · Disaster Prevention and Management An International Journal · doi:10.1108/dpm-07-2017-0157 · Cited by 35
Lechner, H. N., & Rouleau, M. D. (2019) · International Journal of Disaster Risk Reduction · doi:10.1016/j.ijdrr.2019.101160 · Cited by 37
Kubisch, S., Guth, J., Keller, S., Bull, M. T., Keller, L., & Braun, A. (2020) · International Journal of Disaster Risk Reduction · doi:10.1016/j.ijdrr.2019.101462 · Cited by 37
Sutton, J. N., & Fischer, L. M. (2020) · Weather Climate and Society · doi:10.1175/wcas-d-20-0042.1 · Cited by 37
Titko, M., Ristvej, J., & Zamiar, Z. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18052311 · Cited by 37
Bossu, R., Finazzi, F., Steed, R. J., Fallou, L., & Bondár, I. (2021) · Seismological Research Letters · doi:10.1785/0220210180 · Cited by 37
Metadata
- Authors
- Lindell, M. K., & Perry, R. W.
- Affiliations
- Texas A&M University (US)
- Arizona State University (US)
- Corresponding author
- Lindell, Michael K.
- ORCID
- Lindell, Michael K.
- Venue
- Risk Analysis
- Publisher
- Wiley
- Published
- 2011-06-20
- Volume
- 32
- Issue
- 4
- Pages
- 616-632
- ISSN
- 0272-4332 (ISSN-L)
- 1539-6924
- OpenAlex
- W2139452699
- Semantic Scholar
- 01136b8cc8a5b5fcf6bcd2578fb3cfef2acb6b4d
- Cited by
- 1,868
- References
- 114
- Citations by year
- 2026: 268 · 2025: 212 · 2024: 198 · 2023: 176 · 2022: 205 · 2021: 182 · 2020: 140 · 2019: 104 · 2018: 110 · 2017: 88 · 2016: 54 · 2015: 52 · 2014: 37 · 2013: 27 · 2012: 12
- FWCI
- 82.96
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Risk Analysis (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Science Foundation
- Topics
- Social Sciences › Sociology and Political Science › Risk Perception and Management
- Social Sciences › Sociology and Political Science › Disaster Management and Resilience
- Social Sciences › Communication › Public Relations and Crisis Communication
- Keywords
- Protective Action Decision Model, environmental hazards, disaster response, risk communication, evacuation modeling, threat perception, stakeholder perspectives, social cues
- MeSH terms
- Decision Making, Decision Support Techniques, Disasters, Humans, Perception, Risk, Hazardous Substances, Risk Assessment
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review