Ranking preferences towards adopting autonomous vehicles based on peer inputs and advertisements
Stated benefits of teleworking in Mexico City: a discrete choice experiment on office workers
Vehicle access and falling transit ridership: evidence from Southern California
Potential of on-demand services for urban travel
Fundamental diagram of urban rail transit considering train–passenger interaction
Mitigating bus bunching with real-time crowding information
Can information increase support for transportation reform? Results from an experiment
The MOBIS dataset: a large GPS dataset of mobility behaviour in Switzerland
Regional freight generation and spatial interactions in developing regions using secondary data
Joint and sequential models for freight vehicle type and shipment size choice
Equilibrium or imbalance? Rail Transit and Land Use Mix in Station Areas
Commute distance and jobs-housing fit
Understanding California wildfire evacuee behavior and joint choice making
Increasing relative risk taking in a choice context with source-dependent travel time risks
Integrating a computable general equilibrium model with the four-step framework
Predictors of driving cessation among older drivers in Taiwan
E-bikes in rural areas: current and potential users in the Netherlands
Who should pay? Public acceptance of different means for funding transport infrastructure
Why are Hanoi students giving up on bus ridership?
Low-emission zones, modes of transport and house prices: evidence from Berlin’s commuter belt
Can repeated surveys reveal the variation of the value of travel time over time?
A multi-source data fusion framework for joint population, expenditure, and time use synthesis
Households with constrained off-street parking drive fewer miles
A multinomial probit analysis of shanghai commute mode choice
Predictability of short-term passengers’ origin and destination demands in urban rail transit
Estimation of daily bicycle traffic using machine and deep learning techniques
Where ridehail drivers go between trips
Neural network model for predicting variation in walking dynamics of pedestrians in social groups