Background Artificial intelligence (AI) is revolutionizing our world, with applications ranging
from medicine to engineering. Objectives Here we discuss the promise, challenges, and …

Mobile phone applications to monitor and influence one's behavior are numerous. Most
developed appear to be health applications, but in the past decade,“persuasive technology” …

Being physically active in natural environments has been linked with multiple mental and
physical health benefits. However, not all urban contexts can provide their residents the …

This paper aims to explore the covariates that affect the use of smartphones for trip planning
as well as the covariates of perceived impact of smartphone use on travel outcomes. Trip …

Background Accurately quantifying people's out-of-home environmental exposure is
important for identifying disease risk factors. Several activity space-based exposure …

We develop ensemble convolutional neural networks (CNNs) to classify the transportation
mode of trip data collected as part of a large-scale smartphone travel survey in Montreal …

The COVID-19 outbreak and associated measures taken had an enormous impact on
society as well as a disruptive, but not necessarily negative, impact on mobility. The Ministry …

Collecting accurate travel data is vital for transportation planning purposes. Regional travel
demand forecasts as well as transportation system analyses depend on datasets that …

Recent advances in communication technologies have enabled researchers to collect travel
data based on ubiquitous and location-aware smartphones. These advances hold out the …

Given the limitations of traditional methods of data collection and the increased use of
smartphones, there is growing attention given to using smartphone apps for activity-travel …