Mobile Device Data Analysis to Determine the Demographics of Park Visitors

IF 0.7 Q4 HOSPITALITY, LEISURE, SPORT & TOURISM
C. Monz, Noah Creany, Jordan Nesbitt, Milan Mitrovich
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引用次数: 5

Abstract

The systematic gathering of data on visitors to parks and protected areas (PPAs) is an important aspect of adaptive management, but also presents an ongoing challenge to conduct. Visitor questionnaires, often administered at entrance facilities, trailheads and parking areas, are the most common approach, but require significant staff time for field work and analysis and may not be inclusive of all visitors. In this paper, we present a novel, mobile device-based assessment strategy that can determine basic visitor demographic attributes without the need for field-based assessments. We compared results from this strategy to a common, trailhead questionnaire approach in three urban-proximate park locations and generally found similar results, except in a situation where a significant number of visitors may not have entered via the main location, and thus were missed by the survey. Overall, the mobile device strategy is likely more accurate in situations where visitors enter parks from multiple, sometimes informal entry locations, but is also somewhat limited in the types of data available. Subscribe to JPRA
移动设备数据分析,以确定公园游客的人口统计
系统地收集公园和保护区(PPAs)游客的数据是适应性管理的一个重要方面,但也提出了一个持续的挑战。游客问卷调查通常在入口设施、步道起点和停车场进行,这是最常见的方法,但需要大量工作人员进行实地工作和分析,并且可能不包括所有游客。在本文中,我们提出了一种新的基于移动设备的评估策略,该策略可以确定基本的访客人口统计属性,而无需基于现场的评估。我们将该策略的结果与三个城市附近公园的常见的小道调查问卷方法进行了比较,除了大量游客可能没有通过主要地点进入,因此被调查遗漏的情况外,总体上发现了类似的结果。总的来说,移动设备策略在游客从多个(有时是非正式的)入口进入公园的情况下可能更准确,但在可用的数据类型方面也有一定的限制。订阅JPRA
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来源期刊
Journal of Park and Recreation Administration
Journal of Park and Recreation Administration HOSPITALITY, LEISURE, SPORT & TOURISM-
CiteScore
1.90
自引率
23.10%
发文量
40
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