Forecasting e-scooter substitution of direct and access trips by mode and distance
Forecasting e-scooter substitution of direct and access trips by mode and distance
Mina Lee,Joseph Y. J. Chow,Gyugeun Yoon,Brian Yueshuai He
2019 · DOI: 10.1016/j.trd.2021.102892
Transportation Research Part D: Transport and Environment · 71 Citations
TLDR
A novel nonlinear, multifactor model is proposed to break down the number of daily trips by the alternative modes of transportation that they would likely substitute based on statistical similarity and estimates that e-scooters could replace 32% of carpool; 13% of bike; and 7.2% of taxi trips.