JUE Insight: Measuring movement and social contact with smartphone data: a real-time application to COVID-19

Couture, Victor; Dingel, Jonathan I.; Green, Allison; Handbury, Jessie; Williams, Kevin R.

doi:10.1016/j.jue.2021.103328

Cited by 61 publications

(35 citation statements)

References 19 publications

(15 reference statements)

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“…The second data set is an anonymized summary of movement between counties derived from a microdata record of smartphone locations. The measure was constructed and generously made publicly available by Couture et al. (2021) (hereafter, CDGHW) using data provided by vendor PlaceIQ.…”

Section: Declining Travel At the Onset Of The Pandemicmentioning

confidence: 99%

“…1 National Mobility Index, Mobility Restriction, and Case Growth NOTES: The figures plot the median composite mobility index against: the fraction of counties under government restrictions (A), the log of the national case count (B), and the number of new cases reported nationally in the preceding two weeks (C). In A, “Close NE Business” means a mandated site closure of businesses deemed “nonessential.” Sources: Couture et al. (2021) , all panels; healthdata.org (2020), panel A; Johns Hopkins University Coronavirus Resource Center (2020) , panels B and C. …”

Section: Declining Travel At the Onset Of The Pandemicmentioning

confidence: 99%

“…The empirical basis of this paper are measures of mobility constructed by Couture et al. (2021) that are derived from GPS locations recorded by smartphones.…”

Section: Datamentioning

confidence: 99%

“…(2021) that are derived from GPS locations recorded by smartphones. This appendix contains additional details not covered in Section 2 ; see Couture et al. (2021) for a complete description of the data.…”

Section: Datamentioning

confidence: 99%

“… NOTES: The table reports coefficient estimates of equation (A.1) , a gravity model of daily visit rates using pre-pandemic period travel data (January 20 to February 23, 2020). Source: Couture et al. (2021) .…”

Section: Datamentioning

confidence: 99%

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JUE Insight: The Geography of Travel Behavior in the Early Phase of the COVID-19 Pandemic

Brinkman

Mangum

2022

Journal of Urban Economics

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We use a panel of county-level location data derived from cellular devices in the U.S. to track travel behavior and its relationship with COVID-19 cases in the early stages of the outbreak. We find that travel activity dropped significantly as case counts rose locally. People traveled less overall, and they specifically avoided areas with relatively larger outbreaks, independent of government restrictions on mobility. The drop in activity limited exposure to out-of-county virus cases, which we show was important because such case exposure generated new cases inside a county. This suggests the outbreak would have spread faster and to a greater degree had travel activity not dropped accordingly. Our findings imply that the scale and geographic network of travel activity and the travel response of individuals are important for understanding the spread of COVID-19 and for policies that seek to control it.

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Section: Declining Travel At the Onset Of The Pandemicmentioning

confidence: 99%

Section: Declining Travel At the Onset Of The Pandemicmentioning

confidence: 99%

“…The empirical basis of this paper are measures of mobility constructed by Couture et al. (2021) that are derived from GPS locations recorded by smartphones.…”

Section: Datamentioning

confidence: 99%

Section: Datamentioning

confidence: 99%

Section: Datamentioning

confidence: 99%

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JUE Insight: The Geography of Travel Behavior in the Early Phase of the COVID-19 Pandemic

Brinkman

Mangum

2022

Journal of Urban Economics

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Throwing caution to the wind: How hurricanes affect COVID‐19 spread

2022

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This study exploits the pathway of Hurricane Laura to assess its impact on the spread of COVID‐19. Using US hospital data on confirmed and suspected adult COVID‐19 cases, we find average daily cases per week rose by more than 12% primarily in tropical storm‐affected counties in subsequent weeks. We suspect the key mechanisms involve constraints on social distancing for two reasons. First, there is significant evidence of storm‐induced mobility. Second, lower income areas endured higher growth in hospital cases during the post‐hurricane period. These findings provide crucial insights for policy‐makers when designing natural disaster protocols to adjust for potential respiratory viral illnesses.

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Systematic literature review on impacts of COVID-19 pandemic and corresponding measures on mobility

Lee

Eom

2023

Transportation

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The unprecedented COVID-19 outbreak has significantly influenced our daily life, and COVID-19’s spread is inevitably associated with human mobility. Given the pandemic’s severity and extent of spread, a timely and comprehensive synthesis of the current state of research is needed to understand the pandemic’s impact on human mobility and corresponding government measures. This study examined the relevant literature published to the present (March 2023), identified research trends, and conducted a systematic review of evidence regarding transport’s response to COVID-19. We identified key research agendas and synthesized the results, examining: (1) mobility changes by transport modes analyzed regardless of government policy implementation, using empirical data and survey data; (2) the effect of diverse government interventions to reduce mobility and limit COVID-19 spread, and controversial issues on travel restriction policy effects; and (3) future research issues. The findings showed a strong relationship between the pandemic and mobility, with significant impacts on decreased overall mobility, a remarkable drop in transit ridership, changes in travel behavior, and improved traffic safety. Government implemented various non-pharmaceutical countermeasures, such as city lockdowns, travel restrictions, and social distancing. Many studies showed such interventions were effective. However, some researchers reported inconsistent outcomes. This review provides urban and transport planners with valuable insights to facilitate better preparation for future health emergencies that affect transportation.

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JUE Insight: Measuring movement and social contact with smartphone data: a real-time application to COVID-19

Cited by 61 publications

References 19 publications

JUE Insight: The Geography of Travel Behavior in the Early Phase of the COVID-19 Pandemic

JUE Insight: The Geography of Travel Behavior in the Early Phase of the COVID-19 Pandemic

Throwing caution to the wind: How hurricanes affect COVID‐19 spread

Systematic literature review on impacts of COVID-19 pandemic and corresponding measures on mobility

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