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 …

Data from mobile phone operators: A tool for smarter cities?

J Steenbruggen, E Tranos, P Nijkamp - Telecommunications Policy, 2015 - Elsevier
The use of mobile phone data provides new spatio-temporal tools for improving urban
planning, and for reducing inefficiencies in present-day urban systems. Data from mobile …

Extracting and understanding urban areas of interest using geotagged photos

Y Hu, S Gao, K Janowicz, B Yu, W Li… - … , Environment and Urban …, 2015 - Elsevier
Urban areas of interest (AOI) refer to the regions within an urban environment that attract
people's attention. Such areas often have high exposure to the general public, and receive a …

Everyday space–time geographies: using mobile phone-based sensor data to monitor urban activity in Harbin, Paris, and Tallinn

R Ahas, A Aasa, Y Yuan, M Raubal… - International Journal …, 2015 - Taylor & Francis
This paper proposes a methodology for using mobile telephone-based sensor data for
detecting spatial and temporal differences in everyday activities in cities. Mobile telephone …

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 …

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 …

Graph attention spatial-temporal network with collaborative global-local learning for citywide mobile traffic prediction

K He, X Chen, Q Wu, S Yu… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
With the rapid development of mobile cellular technologies and the increasing popularity of
mobile and Internet of Things (IoT) devices, timely mobile traffic forecasting with high …

Effect of extreme temperatures on battery charging and performance of electric vehicles

J Lindgren, PD Lund - Journal of Power Sources, 2016 - Elsevier
Extreme temperatures pose several limitations to electric vehicle (EV) performance and
charging. To investigate these effects, we combine a hybrid artificial neural network …

The significance of digital data systems for smart city policy

K Kourtit, P Nijkamp, J Steenbruggen - Socio-Economic Planning Sciences, 2017 - Elsevier
Our planet is gradually moving towards an urbanized world. Modern urban agglomerations
tend to turn nowadays into advanced information hubs supporting a smart management of …

[HTML][HTML] Disentangling the city traffic rhythms: A longitudinal analysis of MFD patterns over a year

L Ambühl, A Loder, L Leclercq, M Menendez - Transportation Research Part …, 2021 - Elsevier
Urban road transportation performance is the result of a complex interplay between the
network supply and the travel demand. Fortunately, the framework around the macroscopic …