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What can volunteered geographic information tell us about the different ways mountain bikers, runners and walkers use urban reserves?

机译:自愿地理信息可以告诉我们山地自行车,跑步者和步行者使用城市储备的不同方式吗?

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Urban nature reserves are increasingly popular for recreational activities but who uses them, for what activities, and when and where do visitors go? Volunteered geographic information has only recently started to be used by managers to examine patterns of trail use in reserves. As yet, little is known about the benefits and limitations of this type of data. Therefore, we compared how mountain bikers, runners and walkers use popular reserves (Daisy Hill Conservation Park, Venman Bushland National Park and Bayview Conservation Area) close to Brisbane, Australia, based on extracted route data from the fitness tracking application MapMyFitness. Routes for all three activity types were displayed and analysed using ArcGIS. Mountain biking was more popular (49% of the 948 routes), than walking (27%) or running (24%) across the three reserves. Route data was effective at predicting the relative popularity of specific trails with significant linear regressions when compared with fixed-point trail counts (R-2 = 0.681). Bikers went further, used a greater range of trail combinations and used more reserves per trip than the other two activities. Weekends were popular for all three activities, but more so for biking (57%), than walking (44%), or running (43%). The results highlight how volunteered geographic information complements other trail data allowing urban planners and managers to better assess visitor movements in reserves. A number of specific management challenges were identified, such as bikers using more areas within and across the reserves, and in some cases, the use of private land and unauthorised access points.
机译:城市自然保护区越来越受欢迎,可用于娱乐活动,但谁利用它们,游客何时何地去?志愿地理信息最近仅开始被管理人员使用,以检查储备中的路径模式。目前,关于这种数据的益处和局限性知之甚少。因此,我们如何将山地骑自行车的人,跑步者和步行者使用流行的储备(雏菊山保护公园,Venman Bushland国家公园和Bayview Conservation Area)基于来自健身跟踪应用MapMyfitness的提取的路线数据,靠近布里斯班。使用ArcGIS显示和分析所有三种活动类型的路由。山地骑自行车更受欢迎(占948路线的49%),而不是在这三个储备上行走(27%)或跑步(24%)。路由数据有效地预测与固定点路径计数(R-2 = 0.681)相比具有显着线性回归的特定路径的相对普及。骑自行车的人进一步走了,使用了更多的路径组合,并每次旅行使用比其他两个活动更多的储量。周末对所有三项活动都很受欢迎,但骑自行车(57%)比步行(44%)或跑步(43%)。结果突出了志愿者的地理信息如何补充其他小径数据,允许城市规划者和经理更好地评估储备中的访客运动。确定了许多具体的管理挑战,例如使用储备内外更多地区的骑自行车的人,在某些情况下,使用私人土地和未经授权的接入点。

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