Measuring travel behavior in Houston, Texas with mobility data during the 2020 COVID-19 outbreak

Understanding travel behavior adjustment under COVID-19

“…A number of studies have aimed to analyze and model the change of individual travel behavior and travel pattern under the influence of the pandemic. Jiao et al (2021) analyzed the impact of the pandemic on the travel patterns of residents in Houston, Texas using the autoregressive distributed lag model and have reported that the week travel patterns before the pandemic outbreak had a significant impact on that of the next week. In addition, several factors affecting the number of walking trips have also been analyzed.…”

Human Mobility to Parks Under the COVID‐19 Pandemic and Wildfire Seasons in the Western and Central United States

“…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.).…”

Human Mobility to Parks under the COVID-19 Pandemic and Wildfire Seasons in the Western and Central United States

“…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.).…”