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A Model for Predicting Daily Peak Visitation and Implications for Recreation Management and Water Quality: Evidence from Two Rivers in Puerto Rico

机译:每日高峰访问量预测模型及其对娱乐管理和水质的影响:来自波多黎各两条河流的证据

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摘要

Visitor use surveys and water quality data indicates that high visitor use levels of two rivers in Puerto Rico does not appear to adversely affect several water quality parameters. Optimum visitor use to maximize visitor defined satisfaction is a more constraining limit on visitor use than water quality. Our multiple regression analysis suggests that visitor use of about 150 visitors per day yields the highest level of visitor reported satisfaction, a level that does not appear to affect turbidity of the river. This high level of visitor use may be related to the gregarious nature of Puerto Ricans and their tolerance for crowding on this densely populated island. The daily peak visitation model indicates that regulating the number of parking spaces may be the most effective way to keep visitor use within the social carrying capacity.
机译:游客使用情况调查和水质数据表明,波多黎各的两条河流的游客使用率较高,似乎并未对若干水质参数产生不利影响。与水质相比,最佳访客使用以最大化访客定义的满意度是对访客使用的更大限制。我们的多元回归分析表明,每天约有150位访客的访客使用会产生最高水平的访客报告满意度,该水平似乎并不影响河流的浑浊度。游客的大量使用可能与波多黎各人的合群性及其对这个人口稠密的岛屿拥挤的容忍度有关。每日高峰访问量模型表明,调节停车位数量可能是使访问者使用率保持在社会承载力范围内的最有效方法。

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