Applying mobile phone data to travel behaviour research: A literature review

Z Wang, SY He, Y Leung - Travel Behaviour and Society, 2018 - Elsevier
Travel behaviour has been studied for decades to guide transportation development and
management, with the support of traditional data collected by travel surveys. Recently, with …

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 …

Coupling mobile phone and social media data: A new approach to understanding urban functions and diurnal patterns

W Tu, J Cao, Y Yue, SL Shaw, M Zhou… - International Journal …, 2017 - Taylor & Francis
Understanding urban functions and their relationships with human activities has great
implications for smart and sustainable urban development. In this study, we present a novel …

Activity-based human mobility patterns inferred from mobile phone data: A case study of Singapore

S Jiang, J Ferreira, MC Gonzalez - IEEE Transactions on Big …, 2017 - ieeexplore.ieee.org
In this study, with Singapore as an example, we demonstrate how we can use mobile phone
call detail record (CDR) data, which contains millions of anonymous users, to extract …

Algorithmic geographies: Big data, algorithmic uncertainty, and the production of geographic knowledge

MP Kwan - Annals of the American Association of Geographers, 2016 - Taylor & Francis
Drawing on examples from human mobility research, I argue in this article that the advent of
big data has significantly increased the role of algorithms in mediating the geographic …

Transport modelling in the age of big data

C Anda, A Erath, PJ Fourie - International Journal of Urban …, 2017 - Taylor & Francis
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 …

Big data analysis on the spatial networks of urban agglomeration

C Fang, X Yu, X Zhang, J Fang, H Liu - Cities, 2020 - Elsevier
Urban agglomerations are considered as significant space typologies in the post
globalization & digitalization era. The spatial linkage intensity of cities in urban …

Country-wide mobility changes observed using mobile phone data during COVID-19 pandemic

G Heiler, T Reisch, J Hurt, M Forghani… - … conference on big …, 2020 - ieeexplore.ieee.org
In March 2020, the Austrian government introduced a widespread lock-down in response to
the COVID-19 pandemic. Based on subjective impressions and anecdotal evidence …

A generative model of urban activities from cellular data

M Yin, M Sheehan, S Feygin… - IEEE Transactions …, 2017 - ieeexplore.ieee.org
Activity-based travel demand models are becoming essential tools used in transportation
planning and regional development scenario evaluation. They describe travel itineraries of …

Urban mobility and activity space

KA Cagney, E York Cornwell… - Annual Review of …, 2020 - annualreviews.org
Recent theoretical and methodological advances in urban sociology, including spatially
located data, provide new opportunities to consider the joint influence of mobility and place …