Know Thy Beach: Values of Beach Condition Information

Petrolia, Daniel R.; Penn, Jerrod; Quainoo, Ruth; Caffey, Rex H.; Fannin, James Matthew

doi:10.1086/706248

Cited by 5 publications

(6 citation statements)

References 66 publications

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“…Because these are expected to reduce potential HB, we expect WTP to decline with these two treatments. These two variables are a central focus of Petrolia et al (2019). Each respondent also provided their expected number of “good” beach days (good weather, modest crowds, high water quality, etc.)…”

Section: Design and Methodsmentioning

confidence: 99%

“…A utility‐maximizing decision of whether to visit the beach may depend on real‐time conditions at the beach and poor information can lead to a higher probability of mistaken decisions (Baptista et al, 2008) such as the impact of weather (Sabir et al, 2013). While several studies have discussed the potential value of BCI (Clifford et al, 2018; Kirkpatrick et al, 2008; Leatherman, 1997; Sabir et al, 2013), Petrolia et al (2019) are the first to examine its economic value to beachgoers.…”

Section: Literature Reviewmentioning

confidence: 99%

“…In this case, weights are calculated according to an age by gender variable, race, education, household income, and state of residence. This dataset appears in Petrolia et al (2019). After a short pre-test, the final survey was administered May 16-23, 2018.…”

Section: Data Collectionmentioning

confidence: 99%

See 2 more Smart Citations

Hypothetical bias mitigation in representative and convenience samples

Penn

Petrolia

Fannin

2023

Applied Eco Perspectives Pol

Self Cite

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This is a case study comparing outcomes for a probability-based representative sample versus a nonprobability convenience sample for the valuation of beach condition information among Gulf of Mexico residents. We test the efficacy of several techniques used to adjust for hypothetical bias and sample weighting to reduce hypothetical willingness to pay (WTP). Weighting makes the WTP between the two samples similar, but model equivalence with respect to the significance of explanatory variables is rejected. The results support the use of certainty follow-ups, which consistently reduced WTP, regardless of the sampling approach or weighting.

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Section: Design and Methodsmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

See 1 more Smart Citation

Hypothetical bias mitigation in representative and convenience samples

Penn

Petrolia

Fannin

2023

Applied Eco Perspectives Pol

Self Cite

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“…◼ Petrolia et al (2019) determined that the aggregate value of the benefits associated with beach information/ forecasts to the public exceeds the estimated cost. https://doi.org/10.1086/706248…”

Section: ◼ Water Discolorationmentioning

confidence: 99%

Workshop on the socio-economic effects of marine and fresh water harmful algal blooms in the United States

Suddleson¹,

Hoagland²

2021

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The US National Office for Harmful Algal Blooms at the Woods Hole Oceanographic Institution (WHOI) and the NOAA National Centers for Coastal Ocean Science (NCCOS) held a virtual workshop comprising four sessions between July 27 and August 5, 2020. This report summarizes the workshop proceedings and presents recommendations developed by participants during the discussion. The recommendations advance an assessment framework and a national research agenda that will lead to comprehensive evaluations of the socio-economic effects of harmful algal blooms (HABs) in fresh water (primarily the Great Lakes) and marine waters of the United States.

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“…In the study area of this research (Northern U.S. Gulf Coast), the primary litter commonly found is plastic, particularly single-use plastic, originating from land-based litter [ 16 ]. According to a recent marine litter study, less than 10% of local residents in the Mississippi Gulf Coast region would prefer to visit Mississippi or Louisiana beaches; 54% of beach visitors complain about the water and shoreline quality [ 17 ]. Depending on its location, there are generally two ways to remove macro-floating litter: (1) litter in the ocean, using collection vessels/tools to collect; and (2) litter in coastal streams and rivers, using collection traps [ 15 , 18 , 19 , 20 ].…”

Section: Introductionmentioning

confidence: 99%

In-Stream Marine Litter Collection Device Location Determination Using Bayesian Network

et al. 2022

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Increased generation of waste, production of plastics, and poor environmental stewardship has led to an increase in floating litter. Significant efforts have been dedicated to mitigating this globally relevant issue. Depending on the location of floating litter, removal methods would vary, but usually include manual cleanups by volunteers or workers, use of heavy machinery to rake or sweep litter off beaches or roads, or passive litter collection traps. In the open ocean or streams, a common passive technique is to use booms and a collection receptacle to trap floating litter. These passive traps are usually installed to intercept floating litter; however, identifying the appropriate locations for installing these collection devices is still not fully investigated. We utilized four common criteria and fifteen sub-criteria to determine the most appropriate setup location for an in-stream collection device (Litter Gitter—Osprey Initiative, LLC, Mobile, AL, USA). Bayesian Network technology was applied to analyze these criteria comprehensively. A case study composed of multiple sites across the U.S. Gulf of Mexico Coast was used to validate the proposed approach, and propagation and sensitivity analyses were used to evaluate performance. The results show that the fifteen summarized criteria combined with the Bayesian Network approach could aid location selection and have practical potential for in-stream litter collection devices in coastal areas.

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Know Thy Beach: Values of Beach Condition Information

Cited by 5 publications

References 66 publications

Hypothetical bias mitigation in representative and convenience samples

Hypothetical bias mitigation in representative and convenience samples

Workshop on the socio-economic effects of marine and fresh water harmful algal blooms in the United States

In-Stream Marine Litter Collection Device Location Determination Using Bayesian Network

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