Zooming into mobility to understand cities: A review of mobility-driven urban studies

R Wang, X Zhang, N Li - Cities, 2022 - Elsevier
Emerging big datasets about human mobility provide new and powerful ways of studying
cities and addressing various urban issues. However, human mobility has usually been …

Using smartphone-GPS data to understand pedestrian-scale behavior in urban settings: A review of themes and approaches

A Rout, S Nitoslawski, A Ladle, P Galpern - Computers, Environment and …, 2021 - Elsevier
With the near-ubiquitous presence of smartphones among urban dwellers in many parts of
the world, we are living in an age where the public can act as continuous sensors of urban …

Metagraph-based life pattern clustering with big human mobility data

W Li, H Zhang, J Chen, P Li, Y Yao… - … Transactions on Big …, 2022 - ieeexplore.ieee.org
Life pattern clustering is essential for abstracting the groups' characteristics of daily life
patterns and activity regularity. Based on millions of GPS records, this research proposes a …

Discovering locations and habits from human mobility data

T Andrade, B Cancela, J Gama - Annals of Telecommunications, 2020 - Springer
Human mobility patterns are associated with many aspects of our life. With the increase of
the popularity and pervasiveness of smartphones and portable devices, the Internet of …

A set of integral grid-coding algebraic operations based on geosot-3d

K Hou, C Cheng, B Chen, C Zhang, L He… - … International Journal of …, 2021 - mdpi.com
As the amount of collected spatial information (2D/3D) increases, the real-time processing of
these massive data is among the urgent issues that need to be dealt with. Discretizing the …

On a clustering-based mining approach with labeled semantics for significant place discovery

X Niu, S Wang, CQ Wu, Y Li, P Wu, J Zhu - Information Sciences, 2021 - Elsevier
With the rapid increase in GPS data collection through pervasive use of mobile devices, it
has become an important problem to discover significant places of moving objects from …

Determining user specific semantics of locations extracted from trajectory data

J Golze, M Sester - Transportation research procedia, 2024 - Elsevier
Abstract Knowledge about people's daily travel behavior is very relevant for transportation
planning, but also for urban and regional planning in general. This information is typically …

From mobility data to habits and common pathways

T Andrade, B Cancela, J Gama - Expert Systems, 2020 - Wiley Online Library
Many aspects of our lives are associated with places and the activities we perform on a daily
basis. Most of them are recurrent and demand displacement of the individual between …

Mining human mobility data to discover locations and habits

T Andrade, B Cancela, J Gama - … 16–20, 2019, Proceedings, Part II, 2020 - Springer
Many aspects of life are associated with places of human mobility patterns and nowadays
we are facing an increase in the pervasiveness of mobile devices these individuals carry …

Trajectory network assessment based on analysis of stay points cluster

D Minatel, A Valejo, AA Lopes - 2018 7th Brazilian Conference …, 2018 - ieeexplore.ieee.org
The popularization of GPS has generated a massive amount of geographic data organized
in trajectories. Trajectories are ordered sequences of geographic points that represent a …