Investigating the potential of aggregated mobility indices for inferring public transport ridership changes. [PDF]
Lizana M, Choudhury C, Watling D.
europepmc +1 more source
An estimation of the effects of social distancing measures on transit vehicle capacity and operations. [PDF]
Kamga C +4 more
europepmc +1 more source
The temporal distribution of ridership in metro stations from land-use perspective. [PDF]
Dai S, Yu L, Song L, Li Y, Fan X.
europepmc +1 more source
Machine learning approach for study on subway passenger flow. [PDF]
Park Y, Choi Y, Kim K, Yoo JK.
europepmc +1 more source
Long-Term Passenger Flow Forecasting for Rail Transit Based on Complex Networks and Informer. [PDF]
Li D, Du S, Hou Y.
europepmc +1 more source
Paratransit services for people with disabilities in the Seattle region during the COVID-19 pandemic: Lessons for recovery planning. [PDF]
Ashour LA +4 more
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Forecasting intercity rail ridership using revealed preference and stated preference data
The aims of this paper i) to present a methodology for incorporating revealed preference (RP) and stated preference (SP) data in discrete choice models,ii) to apply the methodology to intercity travel mode choice analysis,and iii) to predict new mode shares for each O-D pair resulting from changes in service levels.
openaire
Investigating spatio-temporal mobility patterns and changes in metro usage under the impact of COVID-19 using Taipei Metro smart card data. [PDF]
Mützel CM, Scheiner J.
europepmc +1 more source
How regulatory orders and public fear affect vehicle mobility under COVID-19: A global perspective from urban overall vehicles using multi-source data. [PDF]
Tang L, Tang C, Luo H.
europepmc +1 more source

