The UK government introduced strict measures (including asking people to work from home
and a lockdown) to slow the spread of COVID-19 by limiting people's movement. This led to …

Active travel (AT) has the potential to integrate with, or in some cases substitute for, trips
taken by motorized transportation. In this paper we review relevant research on AT …

Emerging sources of mobile location data such as Strava and other phone-based apps may
provide useful information for assessing bicycle activity on each link of a network. Despite …

Reliable information on daily bicycle traffic provides a fundamental basis for city planners
and scientists. To estimate daily bicycle counts for various German locations with different …

Abstract Machine learning (ML) architecture has successfully characterized complex
motorized volumes and travel patterns; however, non-motorized traffic has given less …

This research developed a method for evaluating and integrating emerging sources (Strava,
StreetLight, and Bikeshare) of bicycle activity data with conventional demand data …

The use of new forms of data in the transport research domain is rapidly gaining popularity.
However, these data come with specific challenges and one of the major concerns is …

Most cities in the United States lack comprehensive or connected bicycle infrastructure;
therefore, inexpensive and easy-to-implement solutions for connecting existing bicycle …

Travel behavior research is increasingly reliant on data collected from smartphones.
However, recruitment is challenging in app-based travel surveys, which can cause data …

Strava Metro data are used in bicycle planning, but there are concerns it overrepresents
fitness activity. The data include a commute label, but spatial patterns of commuting versus …