Urban sensing using mobile phone network data: a survey of research
The recent development of telecommunication networks is producing an unprecedented
wealth of information and, as a consequence, an increasing interest in analyzing such data …
wealth of information and, as a consequence, an increasing interest in analyzing such data …
Data from mobile phone operators: A tool for smarter cities?
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 …
planning, and for reducing inefficiencies in present-day urban systems. Data from mobile …
Extracting and understanding urban areas of interest using geotagged photos
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 …
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
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 …
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
Advancements of information, communication and location-aware technologies have made
collections of various passively generated datasets possible. These datasets provide new …
collections of various passively generated datasets possible. These datasets provide new …
Understanding the bias of call detail records in human mobility research
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 …
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
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 …
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 …
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 …
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
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 …
network supply and the travel demand. Fortunately, the framework around the macroscopic …