Development of a management-based ranking of beaches

IF 1.6 Q4 ENVIRONMENTAL SCIENCES Anthropocene Coasts Pub Date : 2024-02-23 DOI:10.1007/s44218-024-00040-2
Elaine Baroni de Oliveira, Alice Newton, Camilo M. Botero
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Abstract

Beach rankings are very frequent on the internet; however, the information provided on how these rankings are made is often unclear and their content is mostly subjective. In addition, the vast majority of these rankings do not take into account the fact that beaches are coastal eco-systems. The aim of the research was to develop an objective framework to rank the quality of beaches worldwide. The framework integrates indicators to assess the socio-ecological system quality and can be used as a basis for effective beach management. The methodology involved the collection, evaluation and grouping of indicators into domains and categories. Moreover, a measurement technique and a 5-point rating score for each indicator was used. Weights were calculated for different beach types using an analytical hierarchical process and the methodology was validated by a focus group of beach management experts. The quality value of each beach was calculated through equations and the results were presented in graphs inspired by the Circles of Sustainability and the Ocean Health Index. The theoretical application was tested on Portuguese beaches. The framework presents a holistic assessment of four domains: Recreation, Protection, Conservation and Sanitary. The resulting Beach Ranking Framework (BRF) is an objective, holistic framework designed to communicate with society, unlike the existing beach quality assessments.

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制定基于管理的海滩排名
海滩排名在互联网上非常常见;然而,关于这些排名是如何产生的信息往往并不清楚,其内容也多为主观臆断。此外,绝大多数排名都没有考虑到海滩是沿海生态系统这一事实。这项研究的目的是制定一个客观的全球海滩质量排名框架。该框架整合了评估社会生态系统质量的指标,可作为有效管理海滩的基础。研究方法涉及指标的收集、评估和分类。此外,还采用了测量技术,并对每个指标进行了 5 级评分。采用分层分析法计算不同海滩类型的权重,并由海滩管理专家组成的焦点小组对该方法进行验证。每个海滩的质量值都是通过方程计算得出的,计算结果以图表的形式呈现,灵感来源于 "可持续发展圈 "和 "海洋健康指数"。理论应用在葡萄牙海滩进行了测试。该框架对四个领域进行了整体评估:娱乐、保护、养护和卫生。与现有的海滩质量评估不同,由此产生的海滩排名框架(BRF)是一个客观、全面的框架,旨在与社会沟通。
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CiteScore
3.80
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0.00%
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