Transportation System Operating Characteristics Analysis of Beijing during COVID-19
22nd COTA International Conference of Transportation Professionals, CICTP 2022
; : 952-962, 2022.
Article
in English
| Scopus | ID: covidwho-2062371
ABSTRACT
Traffic operation has shown abnormal characteristics during COVID-19. This paper obtains traffic data from multiple fields in Beijing for the whole year of 2020, combines traffic operation data with the number of confirmed cases, and deeply explores the operating characteristics of road networks, public transportation, and intercity transportation at various stages during the major epidemic. The results showed that travel demand decreased significantly during the epidemic period. From the perspective of urban road network traffic pressure, the demand for rigid travel in peak hours during the epidemic recovery period is relatively large. Based on this research, it can provide decision support for the government to formulate relevant prevention and control measures and policies, thereby improving the ability of urban traffic to respond to public health emergencies. © ASCE.
Decision support systems; Epidemiology; Motor transportation; Roads and streets; Urban transportation; Abnormal characteristics; Characteristics analysis; Intercity transportations; Operating characteristics; Public transportation; Road network; System operating characteristics; Traffic data; Traffic operation; Transportation system; COVID-19
Full text:
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Collection:
Databases of international organizations
Database:
Scopus
Language:
English
Journal:
22nd COTA International Conference of Transportation Professionals, CICTP 2022
Year:
2022
Document Type:
Article
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