Measuring objective and subjective well-being: dimensions and data sources

V Voukelatou, L Gabrielli, I Miliou, S Cresci… - International Journal of …, 2021 - Springer
Well-being is an important value for people's lives, and it could be considered as an index of
societal progress. Researchers have suggested two main approaches for the overall …

[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 …

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 …

Transport mode detection based on mobile phone network data: A systematic review

H Huang, Y Cheng, R Weibel - Transportation Research Part C: Emerging …, 2019 - Elsevier
The rapid development in telecommunication networks is producing a huge amount of
information regarding how people (with their mobile devices) move and behave over space …

Understanding the bias of call detail records in human mobility research

Z Zhao, SL Shaw, Y Xu, F Lu, J Chen… - International Journal of …, 2016 - Taylor & Francis
In recent years, call detail records (CDRs) have been widely used in human mobility
research. Although CDRs are originally collected for billing purposes, the vast amount of …

[HTML][HTML] On data processing required to derive mobility patterns from passively-generated mobile phone data

F Wang, C Chen - Transportation Research Part C: Emerging …, 2018 - Elsevier
Passively-generated mobile phone data is emerging as a potential data source for
transportation research and applications. Despite the large amount of studies based on the …

Data-driven generation of spatio-temporal routines in human mobility

L Pappalardo, F Simini - Data Mining and Knowledge Discovery, 2018 - Springer
The generation of realistic spatio-temporal trajectories of human mobility is of fundamental
importance in a wide range of applications, such as the developing of protocols for mobile …

An analytical framework to nowcast well-being using mobile phone data

L Pappalardo, M Vanhoof, L Gabrielli… - International Journal of …, 2016 - Springer
An intriguing open question is whether measurements derived from Big Data recording
human activities can yield high-fidelity proxies of socio-economic development and well …

[HTML][HTML] Mining daily activity chains from large-scale mobile phone location data

L Yin, N Lin, Z Zhao - Cities, 2021 - Elsevier
Understanding residents' daily activity chains provides critical support for various
applications in transportation, public health and many other related fields. Recently, mobile …

Clustering weekly patterns of human mobility through mobile phone data

E Thuillier, L Moalic, S Lamrous… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
With the rapid growth of cell phone networks during the last decades, call detail records
(CDR) have been used as approximate indicators for large scale studies on human and …