[HTML][HTML] The promises of big data and small data for travel behavior (aka human mobility) analysis

C Chen, J Ma, Y Susilo, Y Liu, M Wang - Transportation research part C …, 2016 - Elsevier
The last decade has witnessed very active development in two broad, but separate fields,
both involving understanding and modeling of how individuals move in time and space …

Urban sensing using mobile phone network data: a survey of research

F Calabrese, L Ferrari, VD Blondel - Acm computing surveys (csur), 2014 - dl.acm.org
The recent development of telecommunication networks is producing an unprecedented
wealth of information and, as a consequence, an increasing interest in analyzing such data …

Large-scale mobile traffic analysis: a survey

D Naboulsi, M Fiore, S Ribot… - … Surveys & Tutorials, 2015 - ieeexplore.ieee.org
This article surveys the literature on analyses of mobile traffic collected by operators within
their network infrastructure. This is a recently emerged research field, and, apart from a few …

Are call detail records biased for sampling human mobility?

G Ranjan, H Zang, ZL Zhang, J Bolot - ACM SIGMOBILE Mobile …, 2012 - dl.acm.org
Call detail records (CDRs) have recently been used in studying different aspects of human
mobility. While CDRs provide a means of sampling user locations at large population scales …

Moving and calling: Mobile phone data quality measurements and spatiotemporal uncertainty in human mobility studies

C Iovan, AM Olteanu-Raimond, T Couronné… - … information science at …, 2013 - Springer
In the past few years, mobile network data are considered as a useful complementary
source of information for human mobility research. Mobile phone datasets contain massive …

[HTML][HTML] Complete trajectory reconstruction from sparse mobile phone data

G Chen, AC Viana, M Fiore… - EPJ Data …, 2019 - epjdatascience.springeropen.com
Mobile phone data are a popular source of positioning information in many recent studies
that have largely improved our understanding of human mobility. These data consist of time …

The COVID-19 pandemic and unemployment: Evidence from mobile phone data from China

T Li, PJ Barwick, Y Deng, X Huang, S Li - Journal of Urban Economics, 2023 - Elsevier
Based on mobile phone records for 71 million users and location tracking information for
one million users over almost three years, this study examines the labor market impacts of …

Spatiotemporal data from mobile phones for personal mobility assessment

Z Smoreda, AM Olteanu-Raimond… - … survey methods: best …, 2013 - emerald.com
Purpose—In this chapter, we will review several alternative methods of collecting data from
mobile phones for human mobility analysis. We propose considering cellular network …

Deep Learning Based Traffic Prediction in Mobile Network-A Survey

X Wang, Z Wang, K Yang, Z Song, J Feng, L Zhu… - Authorea …, 2023 - techrxiv.org
With broad deployment of 5G network and pro-liferation of mobile devices, mobile network
operators are not only facing massive data growth in mobile traffic, and also observing very …

Mobile phone data as an alternative data source for travel behavior studies

T Wang, C Chen, J Ma - 2014 - trid.trb.org
Mobile phone positioning data sets contain spatio-temporal positions of millions of mobile
phone users. While their application in recent human behavior studies has seen great …