Abstract
The present study aims to demonstrate the importance of digital data for investigating space–time dynamics of aggregated human activity in urban systems. Such dynamics can be monitored and modelled using data from mobile phone operators regarding mobile telephone usage. Using such an extensive dataset from the city of Amsterdam, this paper introduces space–time explanatory models of aggregated human activity patterns. Various modelling experiments and results are presented, which demonstrate that mobile telephone data are a good proxy of the space–time dynamics of aggregated human activity in the city.
| Original language | English |
|---|---|
| Pages (from-to) | 157-185 |
| Number of pages | 29 |
| Journal | Journal of Geographical Systems |
| Volume | 17 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 1 Apr 2015 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 15 Life on Land
Keywords
- Human activity
- Land use
- Mobile phone
- Urban dynamics
Fingerprint
Dive into the research topics of 'Mobile phone usage in complex urban systems: a space–time, aggregated human activity study'. Together they form a unique fingerprint.Profiles
-
Professor Emmanouil Tranos
- School of Geographical Sciences - Professor of Quantitative Human Geography
Person: Academic
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