[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 …
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 …
Inferring dynamic origin-destination flows by transport mode using mobile phone data
D Bachir, G Khodabandelou, V Gauthier… - … Research Part C …, 2019 - Elsevier
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 …
Big trajectory data: A survey of applications and services
The rapid development of wireless infrastructure and data acquisition technologies
contributes to the explosive growth of data, especially trajectory data with rich information …
contributes to the explosive growth of data, especially trajectory data with rich information …
Inferring fine-grained transport modes from mobile phone cellular signaling data
Due to the ubiquity of mobile phones, mobile phone network data (eg, Call Detail Records,
CDR; and cellular signaling data, CSD), which are collected by mobile telecommunication …
CDR; and cellular signaling data, CSD), which are collected by mobile telecommunication …
Travel demand estimation and network assignment based on cellular network data
Cellular networks' signaling data provide means for analyzing the efficiency of an underlying
transportation system and assisting the formulation of models to predict its future use. This …
transportation system and assisting the formulation of models to predict its future use. This …
Extracting significant mobile phone interaction patterns based on community structures
M Ghahramani, MC Zhou… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Mobile phones have emerged as an essential part of people's lives. The data produced from
them can be utilized to derive the spatio-temporal information of their users' whereabouts …
them can be utilized to derive the spatio-temporal information of their users' whereabouts …
Mobile phone data in transportation research: methods for benchmarking against other data sources
A Dypvik Landmark, P Arnesen, CJ Södersten… - Transportation, 2021 - Springer
The ubiquity of personal cellular phones in society has led to a surging interest in using Big
Data generated by mobile phones in transport research. Studies have suggested that the …
Data generated by mobile phones in transport research. Studies have suggested that the …
Mobile phone data statistics as a dynamic proxy indicator in assessing regional economic activity and human commuting patterns
I Arhipova, G Berzins, E Brekis, J Binde… - Expert …, 2020 - Wiley Online Library
Various studies demonstrate that data on mobile phone use are useful when analysing
problems in the fields of human activity or population dynamics, including tourism …
problems in the fields of human activity or population dynamics, including tourism …
From cell tower location to user location: Understanding the spatial uncertainty of mobile phone network data in human mobility research
X Zhou, L You, S Zhong, M Cai - Computers, Environment and Urban …, 2024 - Elsevier
Mobile phone network data is a vital source for unveiling human mobility characteristics in
accordance with its large-scale spatiotemporal trajectory information. However, mobile …
accordance with its large-scale spatiotemporal trajectory information. However, mobile …