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Mobile phone usage in complex urban systems: a space–time, aggregated human activity study

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  • Emmanouil Tranos
  • Peter Nijkamp

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. Copyright Springer-Verlag Berlin Heidelberg 2015

Suggested Citation

  • Emmanouil Tranos & Peter Nijkamp, 2015. "Mobile phone usage in complex urban systems: a space–time, aggregated human activity study," Journal of Geographical Systems, Springer, vol. 17(2), pages 157-185, April.
    • Handle: RePEc:kap:jgeosy:v:17:y:2015:i:2:p:157-185
    DOI: 10.1007/s10109-015-0211-9
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    1. Lambiotte, Renaud & Blondel, Vincent D. & de Kerchove, Cristobald & Huens, Etienne & Prieur, Christophe & Smoreda, Zbigniew & Van Dooren, Paul, 2008. "Geographical dispersal of mobile communication networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(21), pages 5317-5325.
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    3. Chris Jacobs-Crisioni & Piet Rietveld & Eric Koomen & Emmanouil Tranos, 2014. "Evaluating the Impact of Land-Use Density and Mix on Spatiotemporal Urban Activity Patterns: An Exploratory Study Using Mobile Phone Data," Environment and Planning A, , vol. 46(11), pages 2769-2785, November.
    4. Francesco Calabrese & Zbigniew Smoreda & Vincent D Blondel & Carlo Ratti, 2011. "Interplay between Telecommunications and Face-to-Face Interactions: A Study Using Mobile Phone Data," PLOS ONE, Public Library of Science, vol. 6(7), pages 1-6, July.
    5. Harvey J. Miller, 2010. "The Data Avalanche Is Here. Shouldn’T We Be Digging?," Journal of Regional Science, Wiley Blackwell, vol. 50(1), pages 181-201, February.
    6. Emmanouil Tranos, 2013. "The Geography of the Internet," Books, Edward Elgar Publishing, number 15154.
    7. Christian Licoppe & Dana Diminescu & Zbigniew Smoreda & Cezary Ziemlicki, 2008. "Using mobile phone geolocalisation for ‘socio‐geographical’ analysis of co‐ordination, urban mobilities, and social integration patterns," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 99(5), pages 584-601, December.
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    Cited by:

    1. Wang, Xiaoxi & Zhang, Yaojun & Yu, Danlin & Qi, Jinghan & Li, Shujing, 2022. "Investigating the spatiotemporal pattern of urban vibrancy and its determinants: Spatial big data analyses in Beijing, China," Land Use Policy, Elsevier, vol. 119(C).
    2. Zhang, Xiaohu, 2021. "Beyond expected regularity of aggregate urban mobility: A case study of ridesourcing service," Journal of Transport Geography, Elsevier, vol. 95(C).
    3. Wu, Wenjie & Wang, Jianghao & Li, Chengyu & Wang, Mark, 2016. "The geography of city liveliness and consumption: evidence from location-based big data," LSE Research Online Documents on Economics 83642, London School of Economics and Political Science, LSE Library.
    4. Chengyu Li & Mark Wang & Jianghao Wang & Wenjie Wu, 2016. "The Geography of City Liveliness and Land Use Configurations: Evidence from Location-Based Big Data in Beijing," SERC Discussion Papers 0201, Centre for Economic Performance, LSE.
    5. Li Shi & Lun Wu & Guanghua Chi & Yu Liu, 2016. "Geographical impacts on social networks from perspectives of space and place: an empirical study using mobile phone data," Journal of Geographical Systems, Springer, vol. 18(4), pages 359-376, October.
    6. Kourtit, Karima & Nijkamp, Peter & Steenbruggen, John, 2017. "The significance of digital data systems for smart city policy," Socio-Economic Planning Sciences, Elsevier, vol. 58(C), pages 13-21.
    7. Dylan Henderson & Neil Roche, 2020. "Examining the policy mix for broadband deployment in Wales: The role of informal coordination in the last mile," Local Economy, London South Bank University, vol. 35(1), pages 48-67, February.

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    More about this item

    Keywords

    Mobile phone; Human activity; Land use; Urban dynamics; R14; R00; R15; O18;
    All these keywords.

    JEL classification:

    • R14 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Land Use Patterns
    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods
    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure

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