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• W3178492098 abstract "The novel coronavirus disease (COVID-19), which broke out in the end of 2019, has caused significant impacts on transportation society and led to a dramatic drop of public transit ridership. Transportation studies have not reached an agreement whether there is a connection between the use of urban public transit and the transmission of COVID-19. Many transit riders avoid taking public transit for commuting and other activities because of their concerns about the crowding environment on transit that might become an incubator for virus spreading. It calls for transit agencies to respond to the contests efficiently and effectively with newly available data, innovative techniques, and advanced policies and procedures. To predict, prevent, monitor, and respond to epidemics appropriately, planners and decision makers need to acquire real time epidemiological information from transit riders and operators timely, analyze data quickly, and turn the research findings into suitable actions and effective transportation policies. This research reviews the public transit status in the U.S. and scrutinizes the studies on the connections between public transit and COVID-19 dissemination. It proposes a conceptual framework that employs crowdsourcing technique to obtain real time epidemiological information from transit riders and operators timely, analyze the data quickly, and turn the research findings into suitable actions and policies to block the infectious diseases and improve public transit safety. A crowdsourcing-based public transportation information system (CB-PTIS) is adopted to monitor and respond to the infectious diseases in public transit system. It aims to obtain crowdsourced data together with real-time information, which is compiled by the CB-PTIS to support the decision-making process in public transportation management during the COVID-19 era. The CB-PTIS has several key components that help to implement rules and regulations to prevent the spread of the coronavirus disease. This study also discusses the policy implications to implement the CB-PTIS." @default.
• W3178492098 created "2021-07-19" @default.
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• W3178492098 date "2021-01-01" @default.
• W3178492098 modified "2023-09-25" @default.
• W3178492098 title "Improving Public Transportation Safety in COVID-19 Era Through Crowdsourcing Technique" @default.
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• W3178492098 doi "https://doi.org/10.1007/978-3-030-72808-3_17" @default.
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