Beach Safety Research

Brander, Robert W.

doi:10.1007/978-3-319-48657-4_40-2

Cited by 4 publications

(2 citation statements)

References 21 publications

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“…In order to understand such risky behaviours, many beach safety studies have analyzed beachgoers' attitudes and risk perceptions (McCool, Ameratunga et al 2009, Williamson, Hatfield et al 2012, Short and Brander 2014, Brander 2018, Ménard, Houser et al 2018. These have often shown that young men are a particularly "at risk" group, insofar as they are more attracted to intensely thrilling experiences than other members of the population (Moran 2011, Lawes, Ellis et al 2021.…”

Section: Introductionmentioning

confidence: 99%

How ocean beach recreational quality fits with safety issues? An analysis of risky behaviours in France

Dehez,

Lyser

2024

Journal of Outdoor Recreation and Tourism

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Section: Introductionmentioning

confidence: 99%

How ocean beach recreational quality fits with safety issues? An analysis of risky behaviours in France

Dehez,

Lyser

2024

Journal of Outdoor Recreation and Tourism

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“…Among the natural factors that influence ORAs, wind, waves, tides, currents, and sea temperature change rapidly and are the most direct elements affecting the safety of ORAs [14][15][16][17]. Sudden gusts of wind significantly impact ORAs within a short period, posing considerable danger for activities such as SUP or windsurfing.…”

Section: Introductionmentioning

confidence: 99%

Risk Assessment for Recreational Activities in the Coastal Ocean

Chuang,

Doong,

et al. 2024

JMSE

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Ocean recreational activities (ORAs), including swimming, surfing, diving, paddleboarding, etc., in global marine areas are becoming increasingly popular. However, there are potential risks in coastal ocean environments. This study aims to establish a framework for assessing the risk according to the joint hazard and vulnerability levels of the ORA environment. Important factors include meteo-ocean conditions, geographic features, biological and chemical characteristics, and records of historical accidents, as well as social, environmental and tourist perceptions. The fuzzy Delphi method (FDM) is used to screen the representative factors, followed by using the analytical hierarchy process (AHP) to determine the weight of each factor. The results show that 9 hazard factors and 12 vulnerability factors are dominant. The framework is applied to 307 beaches in Taiwan, and 8% of them are categorized as very high risk and 13% as very low risk for ORAs. A risk map that displays the hazard, vulnerability, and overall risk levels is presented to tourists to provide quick access to risk information.

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