Computational Approaches for Urban Environments

Chapter title: Towards a Comparative Science of Cities: Using Mobile Traffic Records in New York, London, and Hong Kong

About the book and the chapter

The book promotes the synergistic usage of advanced computational methodologies in close relationship to geospatial information across cities of different scales. The presented topics include geography, urban planning, computer science, statistics, geographic information science, and remote sensing.

The chapter written by MIT Senseable City Lab and Ericsson examines the possibility to analyze and compare human activities on city level. The connection between temporal activity profile and land usage in three global cities: New York, London and Hong Kong is confirmed. Our research reveals a universal structure of cities, with core financial centers all sharing similar activity patterns and commercial or residential areas with more city-specific patterns. These findings hint that as the economy becomes more global, common patterns emerge in business areas of different cities across the globe, while the impact of local conditions still remains recognizable on the level of routine people activity.

Computational Approaches for Urban Environments book cover


Simon Moritz, István Gódor from Ericsson Research, together with Sebastian Grauwin, Stanislav Sobolevsky, Carlo Ratti of Senseable City Lab, Massachusetts Institute of Technology (authors)

On-line ISBN 978-3-319-11469-9

Print ISBN 978-3-319-11468-2

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The chapter can be purchased separately from Springer

The book chapter is available here