How Covid-19 affects intercity transportation in China: high-speed rail versus air

Huang, Jie; Wang, Jiaoe; Li, Yongling

doi:10.1080/21681376.2022.2072761

Cited by 5 publications

(1 citation statement)

References 3 publications

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“…Regular deep cleaning and disinfection of public transport vehicles, workplaces, stations, and objects in contact with users, including ticketing devices, poles, and seats, installing disinfectant dispensers, to actively respond to the COVID-19 pandemic. The reduction of intercity public transport services to control the pandemic outbreak has significantly reduced confirmed cases (Naveen & Gurtoo, 2022) (Huang, Wang, & Li, 2022) Although the spread of COVID-19 is decreasing, the effects of the COVID-19 pandemic. The effect of COVID-19 on mode shift preferences can be assessed based on dynamic changes in transportation demand, commuter preferences in using specific modes, and perceived health risks associated with public transportation (Das, Boruah, & Banerjee, 2021).…”

Section: Impact Of Covid-19 On Tansportationmentioning

confidence: 99%

Analysis of Modal Choice Preference Between Bus and Train in Post COVID-19 Pandemics: A Case of Tasikmalaya-Jakarta Route

Aransya,

Rifai,

Handayani

2023

IJOMS

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The COVID-19 pandemic has had an impact on transportation. The impact is still felt when COVID-19 subsidies and community activities have begun to return to normal. Public transportation modes Trains had not operated optimally before the pandemic, resulting in most people choosing bus transportation modes. The purpose of this study is to determine the community's behavior in choosing the mode of transportation between trains and buses on the Tasikmalaya - Jakarta travel route. The method used in this study used the state preference method with attributes of travel time, travel costs, and waiting time. Data analysis was carried out from questionnaire data shared with 100 respondents. The survey results were collected, and linear regression analysis and modeling were conducted using a binomial logit model. Linear regression analysis using the SPSS program obtained the results of the transportation mode selection model, namely (KA-BUS) = -0.293 – 0.389 (X1) – 1.944x10-5(X2) – 0.060 (X3) where X1 Travel time variable, X2 travel cost variable and X3 waiting time variable. It can be concluded that the bus mode of transportation, with a proportion of mode selection of 57.12 %, has a greater chance of being chosen by travelers than the mode of rail transportation, which has a proportion of mode selection of 42,875%.

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Section: Impact Of Covid-19 On Tansportationmentioning

confidence: 99%