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  6. Measuring the Impact of the Large-scale Adoption of Ridesharing on the Spread of Infectious Diseases

Measuring the Impact of the Large-scale Adoption of Ridesharing on the Spread of Infectious Diseases

File(s)
USF_YR4_KWON DAS REINA ORTIZ_FINAL_MEASURING THE IMPACT.pdf (882.39 KB)
Permanent Link(s)
https://hdl.handle.net/1813/103531
Collections
CTECH Final Reports
Author
Paudel, Diwas
Melendez, Kevin A.
Chacreton, Daniel
Das, Tapas K.
Reina Ortiz, Miguel
Kwon, Changhyun
Abstract

In the near future, ride-sharing vehicles are expected to serve a significant fraction of the transportation demands in cities and urban areas. In the past two decades, there has been an increased occurrence of highly infectious diseases like COVID-19 in the world. The simultaneous increase in ride-sharing penetration in the cities and the occurrence of infectious diseases around the world raise a question about the safety of ride-sharing vehicles amid an infectious disease outbreak. In this paper, we investigate the role of ride-sharing vehicles in the spread of COVID-19 in metropolitan areas. To this end, we considered a compartmental model to capture the progression of SARS-CoV-2 infections in an urban population and an agent-based simulation to capture the ride-sharing exposure to the disease. It is shown through the simulation that in the absence of any within-vehicle disease-control measures, ride-sharing can aggravate the spread of disease. Furthermore, it is shown that effective implementation of disease outbreak control measures at the ride-sharing level can almost nullify this aggravation.

Description
Final Report
Sponsorship
U.S. Department of Transportation 69A3551747119
Date Issued
2021-03-31
Keywords
Ride-sharing
•
COVID-19
•
agent-based simulation
•
hybrid model
•
disease control measure
Rights
Attribution 4.0 International
Rights URI
http://creativecommons.org/licenses/by/4.0/
Type
report
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