ArticleJournal of urban economics2022
JUE Insight: The Geography of Travel Behavior in the Early Phase of the COVID-19 Pandemic.
Article in Journal of urban economics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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Who cites it
11 citing papers in PubMed.
- Global Challenges After a Global Challenge: Lessons Learned from the COVID-19 Pandemic.Advances in experimental medicine and biology · 2024Article
- The impact of COVID-19 on the value of coastal recreational resource from the perspective of recreational behaviour change: Evident from China.Ocean & coastal management · 2023Article
- JUE Insight: Urban flight seeded the COVID-19 pandemic across the United States.Journal of urban economics · 2023Article
- Investigating the two-way relationship between mobility flows and COVID-19 cases.Economic modelling · 2023Article
- Inter-prefectural Travel and Network Connectedness During the COVID-19 Pandemic in Japan.Journal of epidemiology · 2022Article
- High-speed railway and the intercity transmission of epidemics: Evidence from COVID-19 in China.Economic modelling · 2022Article
- Data analytics during pandemics: a transportation and location planning perspective.Annals of operations research · 2022Article
- Key links in network interactions: Assessing route-specific travel restrictions in China during the Covid-19 pandemic.China economic review · 2022Article
- Regional and sectorial impacts of the Covid-19 crisis: Evidence from electronic payments.Journal of regional science · 2022Article
- JUE insight: Demand for transportation and spatial pattern of economic activity during the pandemic.Journal of urban economics · 2022Article
- COVID-19, commuting flows, and air quality.Journal of Asian economics · 2021Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We use U.S. county-level location data derived from smartphones to examine travel behavior and its relationship with COVID-19 cases in the early stages of the outbreak. People traveled less overall and notably avoided areas with relatively larger outbreaks. A doubling of new cases in a county led to a 3 to 4 percent decrease in trips to and from that county. Without this change in travel activity, exposure to out-of-county virus cases could have been twice as high at the end of April 2020. Limiting travel-induced exposure was important because such exposure generated new cases locally. We find a one percent increase in case exposure from travel led to a 0.21 percent increase in new cases added within 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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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.