Literature DB >> 21689129

The protective action decision model: theoretical modifications and additional evidence.

Michael K Lindell1, Ronald W Perry.   

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.
© 2011 Society for Risk Analysis.

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Year:  2011        PMID: 21689129     DOI: 10.1111/j.1539-6924.2011.01647.x

Source DB:  PubMed          Journal:  Risk Anal        ISSN: 0272-4332            Impact factor:   4.000


  74 in total

1.  Factors affecting household adoption of an evacuation plan in American Samoa after the 2009 earthquake and tsunami.

Authors:  Emma J I Apatu; Chris E Gregg; Kasie Richards; Barbara Vogt Sorensen; Liang Wang
Journal:  Hawaii J Med Public Health       Date:  2013-08

2.  Public risk perception and willingness to mitigate climate change: city smog as an example.

Authors:  Weiwei Zhu; Nengzhi Yao; Qiaozhe Guo; Fangbin Wang
Journal:  Environ Geochem Health       Date:  2019-06-21       Impact factor: 4.609

3.  The public's preparedness: self-reliance, flashbulb memories, and conservative values.

Authors:  Michael R Greenberg; Susannah Dyen; Stacey Elliott
Journal:  Am J Public Health       Date:  2013-04-18       Impact factor: 9.308

4.  Lack of Evidence Supporting the Effectiveness of Disaster Supply Kits.

Authors:  Tara N Heagele
Journal:  Am J Public Health       Date:  2016-04-14       Impact factor: 9.308

5.  Self-efficacy and barriers to disaster evacuation in Hong Kong.

Authors:  Elizabeth A Newnham; Satchit Balsari; Rex Pui Kin Lam; Shraddha Kashyap; Phuong Pham; Emily Y Y Chan; Kaylie Patrick; Jennifer Leaning
Journal:  Int J Public Health       Date:  2017-09-20       Impact factor: 3.380

6.  Technical assistance in the field of risk communication.

Authors:  Laura Maxim; Mario Mazzocchi; Stephan Van den Broucke; Fabiana Zollo; Tobin Robinson; Claire Rogers; Domagoj Vrbos; Giorgia Zamariola; Anthony Smith
Journal:  EFSA J       Date:  2021-04-29

7.  Female hurricanes are deadlier than male hurricanes.

Authors:  Kiju Jung; Sharon Shavitt; Madhu Viswanathan; Joseph M Hilbe
Journal:  Proc Natl Acad Sci U S A       Date:  2014-06-02       Impact factor: 11.205

8.  Place Attachment and Household Disaster Preparedness: Examining the Mediation Role of Self-Efficacy.

Authors:  Ziyi Wang; Ziqiang Han; Lin Liu; Shaobin Yu
Journal:  Int J Environ Res Public Health       Date:  2021-05-23       Impact factor: 3.390

9.  Risk Perception and Coping Behavior of Construction Workers on Occupational Health Risks-A Case Study of Nanjing, China.

Authors:  Hui Liu; Jie Li; Hongyang Li; He Li; Peng Mao; Jingfeng Yuan
Journal:  Int J Environ Res Public Health       Date:  2021-07-01       Impact factor: 3.390

10.  Understanding American Public Support for COVID-19 Risk Mitigation: The Role of Political Orientation, Socio-Demographic characteristics, Personal Concern, and Experience, the United States, 2020.

Authors:  Wanyun Shao; Feng Hao
Journal:  Int J Public Health       Date:  2021-07-01       Impact factor: 3.380

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