2021
DOI: 10.1038/s41598-021-93741-4
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Syncing sustainable urban mobility with public transit policy trends based on global data analysis

Abstract: Unforeseeable developments will accompany progressive COVID-19 recovery globally. Similarly, science will inform changes amidst its own progress. Social isolation and distancing imposed by the pandemic are likely to result in changed habits, behavior, and thinking paradigms. Inevitably, this should affect the tremendous confusion inhibiting automated urban mobility's evolution. While mobility often seems magnanimously resistant to change, using international data, this analysis shows road traffic, the largest … Show more

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Cited by 12 publications
(4 citation statements)
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“…In a recent study, researchers used mobility data along with web search queries to identify the potential locations of COVID-19 outbreak hotspots [35]. Other studies simulated the impact of individual's mobility and vaccination rates on the evolution of the pandemic [36] or provided policy options for the recovery of public transit and shared mobility [37,38]. Yet, it is still unclear whether the effects of the pandemic on ridesourcing services differed between small towns and large cities.…”
Section: Introductionmentioning
confidence: 99%
“…In a recent study, researchers used mobility data along with web search queries to identify the potential locations of COVID-19 outbreak hotspots [35]. Other studies simulated the impact of individual's mobility and vaccination rates on the evolution of the pandemic [36] or provided policy options for the recovery of public transit and shared mobility [37,38]. Yet, it is still unclear whether the effects of the pandemic on ridesourcing services differed between small towns and large cities.…”
Section: Introductionmentioning
confidence: 99%
“…Indeed, a critical element in this analysis is the availability and acquisition of reliable data 25 . Different indicators have different units of measurement and the great advantage of MCDA is to cancel out such differences.…”
Section: Methodsmentioning
confidence: 99%
“…Poor vehicle transmission performance will reduce the driver's driving pleasure, make the driver feel tired, increase fuel consumption, and affect the driver's green driving. Especially in urban traffic conditions, the driver is very concerned about the comfort and smoothness of gear selection and shifting performance because the vehicle is always continuously engaged in gear selection and shifting action without interruption, and the performance index will directly affect the driver's efficiency assessment on a certain type of traffic vehicle 12 , 13 . It can be said that as an easy perception item for users, the shift performance of the vehicle transmission has a direct relationship with the degree of user complaints.…”
Section: Introductionmentioning
confidence: 99%