The Bay Area is Losing Transit Ridership — But Transit Commuting is Growing [PDF]
Blumenberg, Evelyn +3 more
core
Machine learning-aided hybrid technique for dynamics of rail transit stations classification: a case study. [PDF]
Amini Pishro A +9 more
europepmc +1 more source
Evaluating public transit agency responses to the Covid-19 pandemic in seven U.S. regions. [PDF]
Karner A +3 more
europepmc +1 more source
TSTA-GCN: trend spatio-temporal traffic flow prediction using adaptive graph convolution network. [PDF]
Zong X, Guo J, Liu F, Yu F.
europepmc +1 more source
Perceived risks of transit use during COVID-19: Correlates and strategies from a case study in El Paso, Texas. [PDF]
Bian JJ +5 more
europepmc +1 more source
Dual-temporal inflow-outflow dependency modeling for short-term metro outflow prediction. [PDF]
Hu W, Huang Z, Cai J, Zhao X.
europepmc +1 more source
Modeling the effects of the governmental responses to COVID-19 on transit demand: The case of Athens, Greece. [PDF]
Giouroukelis M +4 more
europepmc +1 more source
A probabilistic GIS-based framework for urban flood risk assessment in Chengdu metro network. [PDF]
Li Q, Ni T, Li L, Wen H, Xu J.
europepmc +1 more source
To increase or to decrease the price? Managing public transport queues during COVID-19 in the presence of strategic commuters. [PDF]
Srivatsa Srinivas S.
europepmc +1 more source
Optimal bus bridging service for urban rail transit disruptions with stochastic passenger demand. [PDF]
Liu Y, Yang T, Su J.
europepmc +1 more source

