Mapping Mobility Changes

ESRI ArcGIS Online Dashboard

Mapping county-level mobility pattern changes in the United States in response to COVID-19.

Funding Source

National Science Foundation (Award No. BCS-2027375)
My Role

Core Member
(March 2020 - Present)
My Contribution

Data Preparation and Update
System Architecture Design
Data Management
Dashboard Development
UI Design
Testing

Our Tracking Mobility Changes Interactive Web Portal is now published as ArcGIS Online Dashboard.

Reference:

Gao, S.*‚úČ, Rao, J., Kang, Y., Liang, Y. and Kruse, J. (2020). Mapping county-level mobility pattern changes in the United States in response to COVID-19. SIGSPATIAL Special 12 (1), 16-26.

Introduction

To contain the COVID-19 epidemic, one of the non-pharmacological epidemic control measures is reducing the transmission rate of SARS-COV-2 in the population through social distancing. An interactive web-based mapping platform that provides timely quantitative information on how people in different counties and states reacted to the social distancing guidelines was developed by the GeoDS Lab @ UW-Madison with the support of the National Science Foundation RAPID program. The web portal integrates geographic information systems (GIS) and daily updated human mobility statistical patterns (median travel distance and stay-at-home dwell time) derived from large-scale anonymized and aggregated smartphone location big data at the county-level in the United States, and aims to increase risk awareness of the public, support data-driven public health and governmental decision-making, and help enhance community responses to the COVID-19 pandemic.

We use the U.S. mobility data released by Descartes Labs and the U.S. Home Dwell Time data released by SafeGraph Inc. to map these changes day by day. In this case, mobility is represented by the maximum travel distance (km) to a point from the initial point of the day (i.e., the max-distance mobility). To investigate the mobility changes, a baseline is first determined, which is defined as the median of the max-distance mobility on the weekdays between 2/17/2020 and 3/7/2020 in the specified region. We also use the median daily Home Dwell Time (hour) to reveal how much time people in each county spend at home as well as how it changes over time. By comparing daily mobility and home dwell time with previous records, we can measure how people in each county react to COVID-19 by reducing daily travel behavior.


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Mapping Mobility Changes

ESRI ArcGIS Online Dashboard

Mapping county-level mobility pattern changes in the United States in response to COVID-19.

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