The usability of unmanned aerial vehicles (UAVs) for measuring park-based physical activity

Park, Keunhyun; Ewing, Reid

doi:10.1016/j.landurbplan.2017.06.010

Cited by 48 publications

(41 citation statements)

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“…While behavior mapping proved to be an effective way to record the location of individuals, their characteristics, and their physical activity, it is time consuming and may not be suitable for monitoring park use in a large area, especially when the data are initially hand-recorded on the sites. Future studies could combine this method with other techniques such as video-taping and unmanned aerial vehicles, to make the process of data collection more precise and efficient [64].…”

Section: Strengths and Limitationsmentioning

confidence: 99%

An Observational Study of Park Attributes and Physical Activity in Neighborhood Parks of Shanghai, China

Wang

2020

IJERPH

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Evidence shows that neighborhood parks provide opportunities for urban residents to participate in physical activity, but little is known about the space–behavior relationship of physical settings. This study explored the patterns of use in neighborhood parks, and focused particularly on visitors’ levels of activity supported by the specific landscape features and attributes. Behavior mapping data, including the users’ characteristics, their behaviors and activity levels, and the landscape characteristics, were obtained in three neighborhood parks of Shanghai, China. A total of 6126 park users were documented during the observations, and most of them were involved in sedentary activity. This study found that different environmental settings such as water, plaza, lawn, and architecture supported different types and levels of activity. Although more men than women visited the neighborhood parks, women were more active than men in park-based physical activity. In this Chinese sample, the findings demonstrate behavior mapping is a promising tool to measure park-based physical activity. As this study associated the levels of use with the landscape features, the results are expected to be useful in design practice for promoting regular physical activity.

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Section: Strengths and Limitationsmentioning

confidence: 99%

An Observational Study of Park Attributes and Physical Activity in Neighborhood Parks of Shanghai, China

Wang

2020

IJERPH

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“…Each observation in a park took about 10 to 15 minutes, enabling five to six parks per two-hour observation period. Park and Ewing (2017) show that the UAV observation could save time by about 21% after accounting for the time spent on video counts. If this study employed the on-theground observation tool such as SOPARC (System for Observing Play and Recreation in Communities), it would have needed to divide each park into smaller target areas where an observer can scan without encountering visual obstructions, which would require much more time.…”

Section: Figure 3 Uav Observation Processmentioning

confidence: 99%

Park and Neighborhood Attributes Associated With Park Use: An Observational Study Using Unmanned Aerial Vehicles

Park

2019

Environment and Behavior

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As the world becomes more urbanized, neighborhood parks are becoming an increasingly important venue where people engage in physical and social activities. Using park-use data collected by unmanned aerial vehicles (UAVs), the aim of this study is to account for park use in light of park attributes and neighborhood conditions. The role of the built environment near a park receives particular attention as it is understudied in the literature. A regression model shows that neighborhood park utilization is positively associated with park attributes (i.e., larger area, a playground, a creek/pond, quality maintenance, and organized activities) and neighborhood attributes (i.e., fewer minority/low-income population, higher density, more commercial and public uses, and a well-connected street network). The statistical significance of these factors varies by user types. This study provides insights into the role of neighborhood compactness and mixed land use, which calls for interdisciplinary collaboration among urban planners/designers, landscape architects, and park programmers.

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“…To fill in the gap of existing tools, this study tests a new method of pedestrian observation: the use of unmanned aerial vehicles (UAVs), also known as drones. UAVs carrying a video camera combine the advantages of human observation and video recording (Park & Ewing 2017). As UAVs cover a greater area in a shorter amount of time than other methods, they are expected to save time and money required for data collection.…”

Section: Introductionmentioning

confidence: 99%

The Usability of Unmanned Aerial Vehicles (UAVs) for Pedestrian Observation

Park

Ewing

2018

Journal of Planning Education and Research

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The usability of unmanned aerial vehicles (UAVs) for measuring park-based physical activity

Cited by 48 publications

References 50 publications

An Observational Study of Park Attributes and Physical Activity in Neighborhood Parks of Shanghai, China

An Observational Study of Park Attributes and Physical Activity in Neighborhood Parks of Shanghai, China

Park and Neighborhood Attributes Associated With Park Use: An Observational Study Using Unmanned Aerial Vehicles

The Usability of Unmanned Aerial Vehicles (UAVs) for Pedestrian Observation

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