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首页> 外文学位 >Quantifying and modeling visitor use in Yosemite National Park and Rocky Mountain National Park.
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Quantifying and modeling visitor use in Yosemite National Park and Rocky Mountain National Park.

机译：量化和模拟优胜美地国家公园和落基山国家公园游客的使用情况。

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摘要

Three manuscripts are presented in this dissertation. The first entitled "Estimating Visitor Use at Attraction Sites and Trailheads Using Automated Visitor Counters in Yosemite National Park" examines the use of automated visitor counters. One hundred thirty five hours of direct observations were conducted among six study sites to estimate monitor counting errors in Yosemite NP in the summer of 2007. Methods to treat missing monitor data and methods to estimate accurate visitor use counts from automated monitors are discussed. Results show a very strong relationship between observed visitor counts and automated monitor counts (R2 > 0.95) and visitor use estimates are presented for all study sites. This study shows that automated visitor use monitors produce consistent data from which reliable estimates of visitor use can be calculated.;The second paper entitled "Modeling Visitor Use at Recreation Sites from Vehicle Traffic Entrance Counts in Yosemite National Park" describes a statistical model to predict visitor use at attraction sites and trailheads in Yosemite National Park. Negative binomial regression was used to model visitor use at Yosemite Falls as a function of inbound vehicle traffic counts from park entrance stations. Results show a strong statistical relationship between visitor use at the study site and inbound vehicle counts (R 2 = 0.85). Used in conjunction with previous crowding studies, the methods in this paper provide Yosemite National Park managers with new options to proactively manage high-use attraction sites.;The final paper entitled "Estimating Visitors' Travel Mode Choices along Bear Lake Road in Rocky Mountain National Park" examines the trade-offs park visitors consider when choosing among transportation options in Rocky Mountain National Park. A stated choice survey was administered at the Bear Lake trailhead in Rocky Mountain National Park during the summer of 2008. Results based on three age groups (40 years, 40--59 years, and 60+ years) produced the best model fit. Crowding along the trail at Bear Lake was the most influential factor related to visitors' choice of transportation mode. Moreover, visitors less than 40 years old were more sensitive to crowding along the trail than older visitors.
机译：本文提出了三种手稿。第一篇题为“在优胜美地国家公园中使用自动访客计数器来估计在景点和入口处的访客的使用”，探讨了自动访客计数器的使用。在六个研究站点中进行了一百三十五小时的直接观察，以估计优胜美地NP在2007年夏季的监视计数错误。讨论了如何处理丢失的监视数据的方法以及从自动监视程序中估计准确的访客使用计数的方法。结果表明，观察到的访问者计数与自动监控器计数之间有非常密切的关系（R2> 0.95），并且所有研究站点的访问者使用估计值均已显示。这项研究表明，自动的游客使用监控器会产生一致的数据，从而可以计算出游客的可靠估计。；第二篇名为“根据优胜美地国家公园的车辆出入口计数对娱乐场所的游客使用进行建模”的论文描述了一种可预测的统计模型访客在优胜美地国家公园的景点和小路使用。负二项式回归用于模拟游客在优胜美地瀑布的使用情况，它是来自公园入口车站的入站车辆流量的函数。结果显示，在研究地点的访客使用与入境车辆计数之间有很强的统计关系（R 2 = 0.85）。与先前的拥挤研究结合使用，本文中的方法为优胜美地国家公园管理人员提供了主动管理高使用率景点的新选择。最后一篇论文名为“估算落基山国家公园熊湖路沿线游客的出行方式选择”公园”考察了落基山国家公园交通方式中游客在选择公园时应考虑的因素。在2008年夏季，对落基山国家公园的熊湖小径进行了既定选择调查。基于三个年龄段（<40岁，40--59岁和60岁以上）的结果得出了最佳模型拟合。熊湖步道上的拥挤是与游客选择交通方式有关的最有影响力的因素。此外，小于40岁的游客比沿途的游客对步道拥挤的敏感性更高。

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  • 作者

    Pettebone, David.;

  • 作者单位

    Colorado State University.;

  • 授予单位 Colorado State University.;
  • 学科 Agriculture Forestry and Wildlife.;Transportation.;Sociology General.
  • 学位 Ph.D.
  • 年度 2009
  • 页码 144 p.
  • 总页数 144
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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