Traffic Impacts of the Covid-19 Pandemic
Statewide Analysis of Social Separation and Activity Restriction
Bibliographic Data
| ID | 21738445 |
|---|---|
| Authors | Scott Parr (0000-0002-8567-1756, Embry–Riddle Aeronautical University), Brian Wolshon (0000-0002-1703-2995, Gulf Coast Center for Evacuation and Transportation Resiliency), John L Renne (0000-0002-1554-7557, Florida Atlantic University), Pamela Murray-Tuite (0000-0003-3079-289X, Clemson University), Karl Kim (0000-0003-0528-8747, Pacific Disaster Center) |
| Year | 2020 |
| Volume | 21 |
| Issue | 3 |
| Publication date | 2020-08-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Natural Hazards Review (JOURNAL) |
| Journal identifiers | ISSN: 1527-6988 • E-ISSN: 1527-6996 |
| Publisher | American Society of Civil Engineers (ASCE) (PUBLISHER • US) |
| DOI | 10.1061/(asce)nh.1527-6996.0000409 |
| OpenAlex | W3033388173 |
| Language | EN |
| Citations received | 21 |
| References cited | 21 |
The COVID-19 pandemic resulted in significant social and economic impacts throughout the world. In addition to the health consequences, the impacts on travel behavior have also been sudden and wide ranging. This study describes the drastic changes in human behavior using the analysis of highway volume data as a representation of personal activity and interaction. Same-day traffic volumes for 2019 and 2020 across Florida were analyzed to identify spatial and temporal changes in behavior resulting from the disease or fear of it and statewide directives to limit person-to-person interaction. Compared to similar days in 2019, overall statewide traffic volume dropped by 47.5%. Although decreases were evident across the state, there were also differences between rural and urban areas and between highways and arterials both in terms of the timing and extent. The data and analyses help to demonstrate the early impacts of the pandemic and may be useful for operational and strategic planning of recovery efforts and for dealing with future pandemics
Disease · Environmental health · Geography · Injury prevention · Occupational safety and health · Pandemic · Poison control · Suicide prevention · Transport engineering · Computer Science · COVID-19 epidemiological studies · Engineering · Human Factors and Ergonomics · Medicine · Traffic and Road Safety · Urban Transport and Accessibility
Unraveling the impact of Covid‐19 on Beijing’s subway system using a causal machine learning analysis
Analyzing disruptions in post-pandemic population return patterns
A fuel-based method for updating mobile source emissions during the Covid-19 pandemic
Analyzing the Effect of Social Distancing Policies on Traffic at Sinchon Station, South Korea, during the Covid-19 Pandemic in 2020 and 2021
The Impact of Covid-19 on Pedestrian Flow Patterns in Urban POIs—An Example from Beijing
Data-driven methodology to quantify traffic resilience of communities from crowdsourced location data
Estimating long-term and short-term impact of Covid-19 activity restriction on regional highway traffic demand
Deep Learning for Visual Analytics of the Spread of Covid-19 Infection in Crowded Urban Environments
Assessment of Resilient Governance Capacity toward Covid-19 in Chinese Cities
Changing Logistics of Evacuation Transportation in Hazardous Settings during Covid-19
Non-linear impact of the built environment on metro commuter flows before and after the Covid-19 outbreak
Spatial risk assessment of an emerging pandemic under data scarcity
How Covid-19 pandemic influenced air quality in Polish cities – lessons from three lockdowns
Human mobility behavior in Covid-19
How did human dwelling and working intensity change over different stages of Covid-19 in Beijing
Assessing the influence of the Covid-19 pandemic on passengers' reliance on public transport
A bifurcation of the peak
Systematic literature review on impacts of Covid-19 pandemic and corresponding measures on mobility
Changes in inter-city car travel behavior over the course of a year during the Covid-19 pandemic
Changes in local travel behaviour before and during the Covid-19 pandemic in Hong Kong
Understanding urban traffic flows in response to Covid-19 pandemic with emerging urban big data in Glasgow
| Unique citing works | 21 |
|---|---|
| Citations per year | 3,5 |
| Citation span | 2020 - 2025 (6) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 19 |