The benefits that urban green resources bring to humanity have received increasing
attention, with the evidence from recent studies into public service provision—specifically …

While lane-changing movements are performed on the entire motorway network for various
reasons, such as overtaking, their intensity is substantially greater near complex segments …

The recent years have witnessed a greater demand for understanding how people move in
urban environments. Due to the widespread usage of mobile phones, there have been …

In this study, with Estonia as an example, we established an approach based on Hidden
Markov Model to extract large-scale commuting patterns at different geographical levels …

Over the past decade, there has been an unprecedented boom in the application of big data
derived from location‐aware technology in GIScience. However, reflections on data quality …

Investigating human mobility patterns can help researchers and agencies understand the
driving forces of human movement, with potential benefits for urban planning and traffic …

Understanding the distribution of passenger flow is one of the crucial prerequisites for
improving operational efficiency and implementing travel demand management strategies …

Low-sampling-rate floating car data (FCD) are more challenging than those with high-
sampling-rate FCD for map matching (MM) algorithms. Some MM algorithms for low …

Path choice set identification is essential for route choice modelling and travel behaviour
studies. Recent advancements in data collection techniques have gained attention towards …

Studying the spatiotemporal pattern of urban leisure activities helps us to understand the
development and utilization of urban public space, people's quality of life, and the happiness …