Aim Active transportation referring to non-motorized modes of transport is promoted and
popularized both in practice and in the scientific literature, while their use for urban freight …

With most technical fields, there exists a delay between fundamental academic research and
practical industrial uptake. Whilst some sciences have robust and well-established …

Building a multimode transportation system could effectively reduce traffic congestion and
improve travel quality. In many cities, use of public transport and green travel modes is …

Travel mode choice (TMC) prediction is crucial for transportation planning. Most previous
studies have focused on TMC in adults, whereas predicting TMC in children has received …

Daily activity pattern (DAP) prediction models within the Activity-based Modelling paradigm
are being currently developed without adequate consideration of the various …

China's rural revitalization strategy has created higher requirements for equalizing public
services in towns and villages. In this regard, big data has been used to evaluate the …

To promote electric vehicles, it is vital to know what impacts the preferences for electric
vehicles over conventional fuel-based cars. To address this, a discrete choice experiment is …

This paper investigates the future US demand for streamlined space tourism by showing the
missions and factors impacting traveler choices with machine learning. Space tourism is …

As a famous step in the transportation planning process, the mode choice problem has been
traditionally studied by employing the concept of random utility optimization in the last 50 …

Mode choice modeling is imperative for predicting and understanding travel behavior. For
this purpose, machine learning (ML) models have increasingly been applied to stated …