Understanding the representativeness of mobile phone location data in characterizing human mobility indicators

S Lu, Z Fang, X Zhang, SL Shaw, L Yin, Z Zhao… - … International Journal of …, 2017 - mdpi.com
The advent of big data has aided understanding of the driving forces of human mobility,
which is beneficial for many fields, such as mobility prediction, urban planning, and traffic …

The effect of temporal sampling intervals on typical human mobility indicators obtained from mobile phone location data

Z Zhao, SL Shaw, L Yin, Z Fang, X Yang… - International Journal …, 2019 - Taylor & Francis
Mobile phone location data have been extensively used to understand human mobility
patterns through the employment of mobility indicators. The temporal sampling interval (TSI) …

Human mobility and socioeconomic status: Analysis of Singapore and Boston

Y Xu, A Belyi, I Bojic, C Ratti - Computers, Environment and Urban Systems, 2018 - Elsevier
Recently, some studies have shown that human movement patterns are strongly associated
with regional socioeconomic indicators such as per capita income and poverty rate. These …

Understanding aggregate human mobility patterns using passive mobile phone location data: A home-based approach

Y Xu, SL Shaw, Z Zhao, L Yin, Z Fang, Q Li - Transportation, 2015 - Springer
Advancements of information, communication and location-aware technologies have made
collections of various passively generated datasets possible. These datasets provide new …

A mobility analytical framework for big mobile data in densely populated area

Y Qiao, Y Cheng, J Yang, J Liu… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
Due to the pervasiveness of mobile devices, a vast amount of geolocated data is generated,
which allows us to gain deep insight into human behavior. Among other data sources, the …

Analyzing the distribution of human activity space from mobile phone usage: an individual and urban-oriented study

Y Yuan, M Raubal - International Journal of Geographical …, 2016 - Taylor & Francis
Travel activities are embodied as people's needs to be physically present at certain
locations. The development of Information and Communication Technologies (ICTs, such as …

Why do people move? Enhancing human mobility prediction using local functions based on public records and SNS data

J Kim, J Park, W Lee - PloS one, 2018 - journals.plos.org
The quality of life for people in urban regions can be improved by predicting urban human
mobility and adjusting urban planning accordingly. In this study, we compared several …

Correlating mobile phone usage and travel behavior–A case study of Harbin, China

Y Yuan, M Raubal, Y Liu - Computers, Environment and Urban Systems, 2012 - Elsevier
Information and communication technologies (ICTs), such as mobile phones and the
Internet, are increasingly pervasive in modern society. These technologies provide new …

From cell tower location to user location: Understanding the spatial uncertainty of mobile phone network data in human mobility research

X Zhou, L You, S Zhong, M Cai - Computers, Environment and Urban …, 2024 - Elsevier
Mobile phone network data is a vital source for unveiling human mobility characteristics in
accordance with its large-scale spatiotemporal trajectory information. However, mobile …

Assessing reliability of Chinese geotagged social media data for spatiotemporal representation of human mobility

L Liu, R Wang, WW Guan, S Bao, H Yu, X Fu… - … International Journal of …, 2022 - mdpi.com
Understanding the space-time dynamics of human activities is essential in studying human
security issues such as climate change impacts, pandemic spreading, or urban …