Crying wolf: Repeat responses to hurricane evacuation orders

Dow, Kirstin; Cutter, Susan L.

doi:10.1080/08920759809362356

Cited by 342 publications

(246 citation statements)

References 11 publications

Supporting

Mentioning

229

Contrasting

Unclassified

Order By: Relevance

“…Modern technology which leads to the generation of hazards and risk maps is indeed important in realizing this goal. Furthermore, the reliance of residents on mainstream media specifically on assessing the reality and risk of incoming natural disasters [12] should be further exploited by government authorities through the development of partnerships with media organizations to effectively realize such goal.…”

Section: Discussionmentioning

confidence: 99%

Should I Stay or should I Go? Determinants of Evacuation upon Flood Warning among Households in a Flood Prone Area in Bukidnon, Philippines

Medina

Moraca

2016

ILNS

View full text Add to dashboard Cite

ABSTRACT. To identify factors that influence the decision to evacuate upon flood warning by authorities, a study was conducted in a flood prone area in the province of Bukidnon in the Philippines. A survey of flood victims was conducted in Batangan Village, Valencia City, Bukidnon, Philippines wherein 150 respondents were interviewed. Logistic regression analysis was done to test the socio demographic factors that could influence a family's decision to either evacuate or stay upon advice by government authorities. College education, presence of children in the home, poverty, and extent of flood experienced were found to significantly influence the decision of the family to evacuate. Based on this information, the study provides recommendations for disaster managers in case of future flood incidence in the area.

show abstract

Section: Discussionmentioning

confidence: 99%

Should I Stay or should I Go? Determinants of Evacuation upon Flood Warning among Households in a Flood Prone Area in Bukidnon, Philippines

Medina

Moraca

2016

ILNS

View full text Add to dashboard Cite

show abstract

“…In order to include this aspect in the model, more research is needed because people's response to warnings is generally complex. Dow and Cutter (1998), for instance, have shown that the likelihood of people responding to a warning is not reduced by the socalled ''cry-wolf'' syndrome if the basis of the false alarm is understood.…”

Section: Discussion and Implications For Landslide Ewsmentioning

confidence: 99%

Implementation and integrated numerical modeling of a landslide early warning system: a pilot study in Colombia

et al. 2009

View full text Add to dashboard Cite

Landslide early warning systems (EWS) are an important tool to reduce landslide risks, especially where the potential for structural protection measures is limited. However, design, implementation, and successful operation of a landslide EWS is complex and has not been achieved in many cases. Critical problems are uncertainties related to landslide triggering conditions, successful implementation of emergency protocols, and the response of the local population. We describe here the recent implementation of a landslide EWS for the Combeima valley in Colombia, a region particularly affected by landslide hazards. As in many other cases, an insufficient basis of data (rainfall, soil measurements, landslide event record) and related uncertainties represent a difficult complication. To be able to better assess the influence of the different EWS components, we developed a numerical model that simulates the EWS in a simplified yet integrated way. The results show that the expected landslide-induced losses depend nearly exponentially on the errors in precipitation measurements. Stochastic optimization furthermore suggests an increasing adjustment of the rainfall landslide-triggering threshold for an increasing observation error. These modeling studies are a first step toward a more generic and integrated approach that bears important potential for substantial improvements in design and operation of a landslide EWS.

show abstract

“…For example, Dow and Cutter (1998) describe how North Carolinians find sources other than official warnings to be more relevant to their decision-making regarding hurricane evacuation.…”

Section: Tsunami Warning Systems Elsewherementioning

confidence: 99%

Warning for the 26 December 2004 tsunamis

Kelman

2006

Disaster Prevention and Management: An International Journal

View full text Add to dashboard Cite

Purpose -To investigate whether or not people at risk from the 26 December 2004 tsunamis could have had better warning of the event. Design/methodology/approach -This paper examines short-term actions related to warning following the earthquake and long-term actions related to setting up an Indian Ocean tsunami warning system prior to the disaster. The evidence is presented in the context of the long-term processes needed to create and maintain successful warning systems. Findings -The evidence shows that, based on the knowledge and procedures existing at the time, any expectation of effective warning prior to the tsunamis was unreasonable. On 26 December 2004, as much action was taken as feasible. Prior to the catastrophe, the Indian Ocean tsunami risks were acknowledged but no warning systems were implemented because other priorities were deemed to be higher. Research limitations/implications -This paper presents a snapshot of the complex issue of warning system development and implementation. Each national and regional case study deserves detailed attention. Further work would add to a more complete understanding of conditions before 26 December 2004. Practical implications -This case study provides a reminder that planning for warnings must be done before extreme events, not following them. Successful warning systems require investment in a long-term, ongoing process involving pre-event planning, education, and awareness. Originality/value -This paper provides an initial attempt at evaluating Indian Ocean tsunami warnings on 26 December 2004.

show abstract

Crying wolf: Repeat responses to hurricane evacuation orders

Cited by 342 publications

References 11 publications

Should I Stay or should I Go? Determinants of Evacuation upon Flood Warning among Households in a Flood Prone Area in Bukidnon, Philippines

Should I Stay or should I Go? Determinants of Evacuation upon Flood Warning among Households in a Flood Prone Area in Bukidnon, Philippines

Implementation and integrated numerical modeling of a landslide early warning system: a pilot study in Colombia

Warning for the 26 December 2004 tsunamis

Contact Info

Product

Resources

About