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The geography of connectivity: a review of mobile positioning data for economic geography

Author

Listed:
  • Andreas Erlström

    (Lund University)

  • Markus Grillitsch

    (Lund University
    Lund University
    Inland Norway University of Applied Sciences)

  • Ola Hall

    (Lund University)

Abstract

Connectivity between and within places is one of the cornerstones of geography. However, the data and methodologies used to capture connectivity are limited due to the difficulty in gathering and analysing detailed observations in time and space. Mobile phone data potentially offer a rich and unprecedented source of data, which is exhaustive in time and space following movements and communication activities of individuals. This approach to study the connectivity patterns of societies is still rather unexplored in economic geography. However, a substantial body of work in related fields provides methodological and theoretical foundations, which warrant an in-depth review to make it applicable in economic geography. This paper reviews and discusses the state-of-the-art in the analysis of mobile phone and positioning data, with a focus on call detail records. It identifies methodological challenges, elaborates on key findings for geography, and provides an outline for future research on the geography of connectivity.

Suggested Citation

  • Andreas Erlström & Markus Grillitsch & Ola Hall, 2022. "The geography of connectivity: a review of mobile positioning data for economic geography," Journal of Geographical Systems, Springer, vol. 24(4), pages 679-707, October.
    • Handle: RePEc:kap:jgeosy:v:24:y:2022:i:4:d:10.1007_s10109-022-00388-4
    DOI: 10.1007/s10109-022-00388-4
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    1. Kang, Chaogui & Ma, Xiujun & Tong, Daoqin & Liu, Yu, 2012. "Intra-urban human mobility patterns: An urban morphology perspective," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(4), pages 1702-1717.
    2. Jukka-Pekka Onnela & Samuel Arbesman & Marta C González & Albert-László Barabási & Nicholas A Christakis, 2011. "Geographic Constraints on Social Network Groups," PLOS ONE, Public Library of Science, vol. 6(4), pages 1-7, April.
    3. Joshua E. Blumenstock, 2018. "Estimating Economic Characteristics with Phone Data," AEA Papers and Proceedings, American Economic Association, vol. 108, pages 72-76, May.
    4. Martin Andersson & Charlie Karlsson, 2007. "Knowledge in Regional Economic Growth—The Role of Knowledge Accessibility," Industry and Innovation, Taylor & Francis Journals, vol. 14(2), pages 129-149.
    5. Michael Storper & Anthony J. Venables, 2004. "Buzz: face-to-face contact and the urban economy," Journal of Economic Geography, Oxford University Press, vol. 4(4), pages 351-370, August.
    6. Jorge De La Roca & Diego Puga, 2017. "Learning by Working in Big Cities," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 84(1), pages 106-142.
    7. Guanghua Chi & Jean-Claude Thill & Daoqin Tong & Li Shi & Yu Liu, 2016. "Uncovering regional characteristics from mobile phone data: A network science approach," Papers in Regional Science, Wiley Blackwell, vol. 95(3), pages 613-631, August.
    8. Santi Phithakkitnukoon & Zbigniew Smoreda & Patrick Olivier, 2012. "Socio-Geography of Human Mobility: A Study Using Longitudinal Mobile Phone Data," PLOS ONE, Public Library of Science, vol. 7(6), pages 1-9, June.
    9. Steenbruggen, John & Tranos, Emmanouil & Nijkamp, Peter, 2015. "Data from mobile phone operators: A tool for smarter cities?," Telecommunications Policy, Elsevier, vol. 39(3), pages 335-346.
    10. Tom Kemeny & Maryann Feldman & Frank Ethridge & Ted Zoller, 2016. "The economic value of local social networks," Journal of Economic Geography, Oxford University Press, vol. 16(5), pages 1101-1122.
    11. Nancy Ettlinger, 2003. "Cultural economic geography and a relational and microspace approach to trusts, rationalities, networks, and change in collaborative workplaces," Journal of Economic Geography, Oxford University Press, vol. 3(2), pages 145-171, April.
    12. Elisa Giuliani, 2007. "The selective nature of knowledge networks in clusters: evidence from the wine industry," Journal of Economic Geography, Oxford University Press, vol. 7(2), pages 139-168, March.
    13. Nicola Cortinovis & Jing Xiao & Ron Boschma & Frank G van Oort, 2017. "Quality of government and social capital as drivers of regional diversification in Europe," Journal of Economic Geography, Oxford University Press, vol. 17(6), pages 1179-1208.
    14. repec:bla:jorssa:v:180:y:2017:i:4:p:1163-1190 is not listed on IDEAS
    15. Anniki Puura & Siiri Silm & Rein Ahas, 2018. "The Relationship between Social Networks and Spatial Mobility: A Mobile-Phone-Based Study in Estonia," Journal of Urban Technology, Taylor & Francis Journals, vol. 25(2), pages 7-25, April.
    16. Marta C. González & César A. Hidalgo & Albert-László Barabási, 2009. "Understanding individual human mobility patterns," Nature, Nature, vol. 458(7235), pages 238-238, March.
    17. Markus Grillitsch & Magnus Nilsson, 2015. "Innovation in peripheral regions: Do collaborations compensate for a lack of local knowledge spillovers?," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 54(1), pages 299-321, January.
    18. Luís M A Bettencourt & José Lobo & Deborah Strumsky & Geoffrey B West, 2010. "Urban Scaling and Its Deviations: Revealing the Structure of Wealth, Innovation and Crime across Cities," PLOS ONE, Public Library of Science, vol. 5(11), pages 1-9, November.
    19. Maarten Vanhoof & Willem Schoors & Anton Van Rompaey & Thomas Ploetz & Zbigniew Smoreda, 2018. "Comparing Regional Patterns of Individual Movement Using Corrected Mobility Entropy," Journal of Urban Technology, Taylor & Francis Journals, vol. 25(2), pages 27-61, April.
    20. Michael Weinhardt, 2021. "Big Data: Some Ethical Concerns for the Social Sciences," Social Sciences, MDPI, vol. 10(2), pages 1-14, January.
    21. Raun, Janika & Ahas, Rein & Tiru, Margus, 2016. "Measuring tourism destinations using mobile tracking data," Tourism Management, Elsevier, vol. 57(C), pages 202-212.
    22. Hernandez,Marco & Hong,Lingzi & Frias-Martinez,Vanessa & Frias-Martinez,Enrique, 2017. "Estimating poverty using cell phone data : evidence from Guatemala," Policy Research Working Paper Series 7969, The World Bank.
    23. 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.
    24. Han Wang & Liam Kilmartin, 2014. "Comparing Rural and Urban Social and Economic Behavior in Uganda: Insights from Mobile Voice Service Usage," Journal of Urban Technology, Taylor & Francis Journals, vol. 21(2), pages 61-89, April.
    25. Filippo Simini & Marta C. González & Amos Maritan & Albert-László Barabási, 2012. "A universal model for mobility and migration patterns," Nature, Nature, vol. 484(7392), pages 96-100, April.
    26. Christina Scholten & Tora Friberg & Annika Sandén, 2012. "Re-Reading Time-Geography from a Gender Perspective: Examples from Gendered mobility," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 103(5), pages 584-600, December.
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    More about this item

    Keywords

    Connectivity; Mobile phone data; Spatial mobility; Social networks; Regional development; Mobile positioning data;
    All these keywords.

    JEL classification:

    • C00 - Mathematical and Quantitative Methods - - General - - - General
    • C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General
    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • R14 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Land Use Patterns

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