[HTML][HTML] The promises of big data and small data for travel behavior (aka human mobility) analysis
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 …
both involving understanding and modeling of how individuals move in time and space …
Large-scale mobile traffic analysis: a survey
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 …
their network infrastructure. This is a recently emerged research field, and, apart from a few …
Inferring dynamic origin-destination flows by transport mode using mobile phone data
Fast urbanization generates increasing amounts of travel flows, urging the need for efficient
transport planning policies. In parallel, mobile phone data have emerged as the largest …
transport planning policies. In parallel, mobile phone data have emerged as the largest …
What are the factors affecting the adoption and use of electric scooter sharing systems from the end user's perspective?
Since their introduction in 2017, Electric Scooter Sharing systems (ESSs) are shown to
provide numerous benefits for both individuals and society, including convenient green …
provide numerous benefits for both individuals and society, including convenient green …
Transport mode detection based on mobile phone network data: A systematic review
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 …
information regarding how people (with their mobile devices) move and behave over space …
DeepSD: Supply-demand prediction for online car-hailing services using deep neural networks
The online car-hailing service has gained great popularity all over the world. As more
passengers and more drivers use the service, it becomes increasingly more important for the …
passengers and more drivers use the service, it becomes increasingly more important for the …
Discovering urban activity patterns in cell phone data
Massive and passive data such as cell phone traces provide samples of the whereabouts
and movements of individuals. These are a potential source of information for models of …
and movements of individuals. These are a potential source of information for models of …
Transport modelling in the age of big data
ABSTRACT New Big Data sources such as mobile phone call data records, smart card data
and geo-coded social media records allow to observe and understand mobility behaviour on …
and geo-coded social media records allow to observe and understand mobility behaviour on …
[HTML][HTML] Emerging data for pedestrian and bicycle monitoring: Sources and applications
K Lee, IN Sener - Transportation research interdisciplinary perspectives, 2020 - Elsevier
Growing attention on the benefits of non-motorized travel has increased the demand for
accurate and timely pedestrian and bicycle travel data. Advancements in technologies and …
accurate and timely pedestrian and bicycle travel data. Advancements in technologies and …
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 …