Sammenlign metoder

	Protective Action Decision Model	Evacuation Time Estimation Modeling
Fagfelt	Disaster Studies	Disaster Studies
Familie	Process / pipeline	Process / pipeline
Opprinnelsesår	2012	2008
Opphavsperson	Michael K. Lindell & Ronald W. Perry	Michael K. Lindell (EMBLEM2); regional evacuation modeling tradition
Type	Stage-based behavioral decision framework for protective action under threat	Behavioral-and-network model of mass evacuation duration
Opprinnelig kilde	Lindell, M. K., & Perry, R. W. (2012). The Protective Action Decision Model: Theoretical Modifications and Additional Evidence. Risk Analysis, 32(4), 616-632.	Lindell, M. K. (2008). EMBLEM2: An empirically based large scale evacuation time estimate model. Transportation Research Part A: Policy and Practice, 42(1), 140-154.
Alias	PADM, Protective Action Decision-Making Model, Warning Response Decision Model	Evacuation Time Estimate Modeling, ETE Modeling, Mass Evacuation Modeling
Relaterte	3	3
Sammendrag	The Protective Action Decision Model (PADM), developed by Michael Lindell and Ronald Perry, is a multistage behavioral framework explaining how people at risk decide whether and how to protect themselves when warned of an environmental hazard. Synthesizing decades of disaster warning-response research, PADM traces a chain from environmental and social cues and warning messages, through predecisional processes of exposure, attention, and comprehension, to three core perceptions — of the threat, of the candidate protective actions, and of the social stakeholders involved. These perceptions drive a structured decision sequence — identifying the risk, assessing it, searching for and evaluating protective actions, and selecting a response — that, together with situational facilitators and impediments, determines the behavioral outcome. The 2012 statement refined the model and connected it to applications including risk communication design, hazard-adjustment adoption, and evacuation modeling.	Evacuation time estimate (ETE) modeling predicts how long it will take to move an at-risk population to safety, a quantity central to emergency planning for hurricanes, floods, wildfires, nuclear plants, and other hazards. The method joins two ingredients: a behavioral component describing when households decide to leave — the mobilization or 'loading' curve, grounded in warning-response research such as the Protective Action Decision Model — and a transportation component describing how fast the road network can carry them away. Michael Lindell's EMBLEM2 exemplifies the empirically based approach, letting emergency managers compute ETEs from a modest set of route, behavioral, and scope parameters and even update them in real time as a hazard approaches. By combining human departure timing with network capacity, ETE modeling tells planners when to issue evacuation orders and where congestion will bind, turning evacuation from guesswork into quantified logistics.