2020
DOI: 10.1553/giscience2020_01_s119
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Studying Spatial and Temporal Visitation Patterns of Points of Interest Using SafeGraph Data in Florida

Abstract: SafeGraph is a commercial provider of massive Point of Interest (POI) data, including visitation patterns in North America. Although the data source does not share specific travel trajectories, the data available includes daily and monthly POI visitation numbers for over 160 categories, as well as information about where visitors come from and which other POI categories they visit. This allows analysts to gain insight into travel behavior in a geographic region over time. This study analyzes various aspects of… Show more

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Cited by 23 publications
(15 citation statements)
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“…To investigate the people's mobility pattern to parks, we use three metrics that attached to the park‐related location to describe human mobility and usage of public parks, including (a) the number of visits to POIs, (b) median distance to park traveled by visitors, and (b) median minimum dwell time that people spent at POIs. Due to the increasing concern and interests in human movements and social behaviors during the pandemic, those three metrics from SafeGraph have been increasingly used to describe human mobility patterns recently, including the stay‐at‐home behaviors and daily activities to restaurants/bars, groceries, healthcare facilities, and parks (e.g., Atkinson et al., 2020; Jiao et al., 2021; Juhász & Hochmair, 2020). We aggregated the park‐related POIs with those three metrics to the county level into each month of June ‐September using SpatialJoin Tools ArcGIS 10.8 (ESRI Inc.).…”
Section: Methodsmentioning
confidence: 99%
“…To investigate the people's mobility pattern to parks, we use three metrics that attached to the park‐related location to describe human mobility and usage of public parks, including (a) the number of visits to POIs, (b) median distance to park traveled by visitors, and (b) median minimum dwell time that people spent at POIs. Due to the increasing concern and interests in human movements and social behaviors during the pandemic, those three metrics from SafeGraph have been increasingly used to describe human mobility patterns recently, including the stay‐at‐home behaviors and daily activities to restaurants/bars, groceries, healthcare facilities, and parks (e.g., Atkinson et al., 2020; Jiao et al., 2021; Juhász & Hochmair, 2020). We aggregated the park‐related POIs with those three metrics to the county level into each month of June ‐September using SpatialJoin Tools ArcGIS 10.8 (ESRI Inc.).…”
Section: Methodsmentioning
confidence: 99%
“…Unlike data collected systematically using predetermined sampling frameworks, much of the increase in spatial data availability is associated with opportunistic data collection from GPS-enabled cell phones, social media, and programs that make use of volunteered geographic information (VGI). For example, point-of-interest datasets, like Safe Graph, compile data on movement from millions of cell phones ( 85 ); Strava-generated datasets from application users track bicycling and other athletic activities ( 39 ); and OpenStreetMap (OSM) is arguably the most successful VGI project, enabling crowdsourced mapping globally ( 86 ) and often more complete and more timely than official data sources (e.g., ref. 87 ).…”
Section: From Ethics To Empathymentioning
confidence: 99%
“…To investigate the people's mobility pattern to parks, we use three metrics that attached to the park-related location to describe human mobility and usage of public parks, including (a) the number of visits to POIs, (b) median distance to park traveled by visitors, and (b) median minimum dwell time that people spent at POIs. Due to the increasing concern and interests in human movements and social behaviors during the pandemic, those three metrics from SafeGraph have been increasingly used to describe human mobility patterns recently, including the stayat-home behaviors and daily activities to restaurants/bars, groceries, healthcare facilities, and parks (e.g., Atkinson et al, 2020;Jiao et al, 2021;Juhász & Hochmair, 2020). We aggregated the park-related POIs with those three metrics to the county level into each month of June -September using SpatialJoin Tools ArcGIS 10.8 (ESRI Inc.).…”
Section: Study Area and Human Mobility Data To Parksmentioning
confidence: 99%