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 …
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 …
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 …
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 …
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 …
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 …
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 …
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 …
Recent theoretical and methodological advances in urban sociology, including spatially located data, provide new opportunities to consider the joint influence of mobility and place …