Micromobility is often presented as a sustainable, affordable, and active urban transport
option, in comparison to motorised modes. Understanding users routing preferences could …

One of the aspects that policymakers should consider when promoting cycling is the route
choice behaviour of current cyclists. This study develops a behaviourally realistic route …

In the recent decade, numerous scientific studies investigated the utility of GPS data to
bridge the existing data gap in cycling. Almost all studies faced the lack of …

Most research concerned with cyclists' safety has been focused on the crash risk (ie their
objective safety). However, there has been a growing interest in the perceived level of this …

Bike-riding GPS data offers detailed insights and individual-level mobility information which
are critical for understanding bike-riding travel behaviour, enhancing transportation safety …

This work presents an analysis of data recorded by a bicycle computer paired with typical
measurement sensors in order to determine whether the data can be useful for a scientific …

Abstract Transportation Mode Detection (TMD) is important in planning new transportation
projects as well as improving existing ones. Therefore, this study aims to develop predictive …

Motion pattern analysis uses a variety of methods to recognise physical activities recorded
by wearable sensors, video-cameras, and global navigation satellite systems. This paper …

The widespread use of machine learning in location-related scenarios is propelling the rapid
development of intelligent transportation. To assist users in making more informed travel …

A growing body of research acknowledges the substantial societal benefits of improved
bicycle infrastructure, with recent studies highlighting the significant impact of road surface …