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Defining the Real Structure of the City Through Spaces of Everyday Activity Based on User-Generated Online Data

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Networks in the Global World VI (NetGloW 2022)

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Abstract

This paper addresses the question of defining the “real” structure of a city, which accommodates existing activity patterns and facilitates urban management and distribution of the city resources, since this structure does not always correspond to the city administrative division. The motivation for the paper is to present a method of defining spaces of everyday activities (SEAs). Here we define the structure of the city based on user-generated online data, which provides evidence about the usage of the city space in the course of everyday consumer practices. Based on Google Places data for St. Petersburg, we build user-venue and venue-venue networks, where users and venues are connected through check-ins and venues are connected through common users. We develop a clusterization technique to define the units of the geographically proximate and socially similar venues – SEAs. We compare the map of such units with the administrative division of St. Petersburg on two different scales: at the level of agglomeration and at the level of administrative districts. We describe the formation of borders and connections that cause matches and inconsistencies between administrative boundaries and SEAs, such as natural and artificial barriers, transportation and infrastructural connectors.

M. Kurilova and A. Konyukhov—Independent Researcher.

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Notes

  1. 1.

    Google places web: https://cloud.google.com/maps-platform/places/.

References

  1. Aksyonov, K.: Social segregation of personal activity spaces in a posttransformation metropolis (case study of St. Petersburg). Regional Res. Russia 1 (2011)

    Google Scholar 

  2. Allen, G.L.: Spatial abilities, cognitive maps, and wayfinding. Wayfinding behavior: Cognitive mapping and other spatial processes 46–80 (1999)

    Google Scholar 

  3. Arcaute, E., Hatna, E., Ferguson, P., Youn, H., Johansson, A., Batty, M.: Constructing cities, deconstructing scaling laws. J. Royal Soc. Interface 12(102), 20140745 (2015)

    Google Scholar 

  4. Cottineau, C., Finance, O., Hatna, E., Arcaute, E., Batty, M.: Defining urban clusters to detect agglomeration economies. Environ. Plann. B Urban Anal. City Sci. 46(9), 1611–1626 (2019)

    Article  Google Scholar 

  5. De Certeau, M., Mayol, P.: The Practice of Everyday Life: Living and Cooking. vol. 2. U of Minnesota Press (1998)

    Google Scholar 

  6. Glaeser, E.L., Kominers, S.D., Luca, M., Naik, N.: Big data and big cities: The promises and limitations of improved measures of urban life. Econ. Inq. 56(1), 114–137 (2018)

    Article  Google Scholar 

  7. Hawelka, B., Sitko, I., Beinat, E., Sobolevsky, S., Kazakopoulos, P., Ratti, C.: Geolocated Twitter as proxy for global mobility patterns. Cartogr. Geogr. Inf. Sci. 41(3), 260–271 (2014)

    Article  Google Scholar 

  8. Jones, K., Manley, D., Johnston, R., Owen, D.: Modelling residential segregation as unevenness and clustering: a multilevel modelling approach incorporating spatial dependence and tackling the map. Environ. Plann. B Urban Anal. City Sci. 45(6), 1122–1141 (2018)

    Article  Google Scholar 

  9. Langford, M., Higgs, G.: Accessibility and public service provision: evaluating the impacts of the post office network change programme in the UK. Trans. Inst. Br. Geogr. 35(4), 585–601 (2010)

    Article  Google Scholar 

  10. Lefebvre, H.: The Production of Space. Blackwell, London (1991)

    Google Scholar 

  11. Lynch, K.: The image of the environment. In: The Image of the City, pp. 1–13. MIT Press, Cambridge, Mass. (1960)

    Google Scholar 

  12. Martin, D.G.: Enacting neighborhood! Urban Geogr. 24(5), 361–385 (2003)

    Article  Google Scholar 

  13. Neal, Z.: Structural determinism in the interlocking world city network. Geogr. Anal. 44(2), 162–170 (2012)

    Article  Google Scholar 

  14. Neal, Z.: The backbone of bipartite projections: inferring relationships from coauthorship, co-sponsorship, co-attendance and other co-behaviors. Soc. Networks 39, 84–97 (2014)

    Article  Google Scholar 

  15. Nenko, A., Koniukhov, A., Petrova, M.: Areas of habitation in the city: improving urban management based on check-in data and mental mapping. In: International Conference on Electronic Governance and Open Society: Challenges in Eurasia, pp. 235–248. Springer (2018)

    Google Scholar 

  16. Neutens, T., Delafontaine, M., Scott, D.M., De Maeyer, P.: A GIS-based method to identify spatiotemporal gaps in public service delivery. Appl. Geogr. 32(2), 253–264 (2012)

    Article  Google Scholar 

  17. Omer, I.: Evaluating accessibility using house-level data: a spatial equity perspective. Comput. Environ. Urban Syst. 30(3), 254–274 (2006)

    Article  Google Scholar 

  18. Purcell, M.: Neighborhood activism among homeowners as a politics of space. Prof. Geogr. 53(2), 178–194 (2001)

    Article  Google Scholar 

  19. Patti, C., Frenchman, D., Pulselli, R.M., Williams, S.: Mobile landscapes: using location data from cell phones for urban analysis. Environ. Plann. B. Plann. Des. 33(5), 727–748 (2006)

    Article  Google Scholar 

  20. Ratti, C., et al.: Redrawing the map of Great Britain from a network of human interactions. PloS One 5(12), el4,248 (2010)

    Google Scholar 

  21. Reardon, S.F.: Measures of ordinal segregation. In: Flückiger, Y., Reardon, S.F., Silber, J. (eds.) Occupational and residential segregation, pp. 129–155. Emerald Group Publishing Limited (2009)

    Google Scholar 

  22. Reed, J.S.: The heart of dixie: an essay in folk geography. Soc. Forces 54(4), 925–939 (1976)

    Article  Google Scholar 

  23. Reed, J.S., Kohls, J., Hanchette, C.: The dissolution of dixie and the changing shape of the south. Soc. Forces 69(1), 221–233 (1990)

    Article  Google Scholar 

  24. Robinson, A.: Framing corkerhill: Identity, agency, and injustice. Environ. Plann. D Soc. Space 19(1), 81–101 (2001)

    Article  Google Scholar 

  25. Schmidt, D.H.: The practices and process of neighborhood: The (re) production of Riverwest, Milwaukee. Wisconsin. Urban Geography 29(5), 473–495 (2008)

    Article  Google Scholar 

  26. Schnell, I., Yoav, B.: The sociospatial isolation of agents in everyday life spaces as an aspect of segregation. Ann. Assoc. Am. Geogr. 91(4), 622–636 (2001)

    Article  Google Scholar 

  27. Seager, W., Fraser, D.S.: Comparing physical, automatic and manual map rotation for pedestrian navigation. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 767–776 (2007)

    Google Scholar 

  28. Sobolevsky, S., Campari, R., Belyi, A., Ratti, C.: General optimization technique for high-quality community detection in complex networks. Phys. Rev. E 90(1), 012,811 (2014)

    Google Scholar 

  29. Sobolevsky, S., Szell, M., Campari, R., Couronne, T., Smoreda, Z., Ratti, C.: Delineating geographical regions with networks of human interactions in an extensive set of countries. PLOS One 8(12), e81,707 (2013)

    Google Scholar 

  30. Talen, E., Anselin, L.: Assessing spatial equity: an evaluation of measures of accessibility to public playgrounds. Environ Plan A 30(4), 595–613 (1998)

    Article  Google Scholar 

  31. Tsou, K.W., Hung, Y.T., Chang, Y.L.: An accessibility-based integrated measure of relative spatial equity in urban public facilities. Cities 22(6), 424–435 (2005)

    Article  Google Scholar 

  32. Zhang, T.: Decentralization, localization, and the emergence of a quasi- participatory decision-making structure in urban development in Shanghai. Int. Plan. Stud. 7(4), 303–323 (2002)

    Article  Google Scholar 

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Acknowledgements

This paper was supported in 2021 by Russian Science Foundation, project 21-77-10098 “Spatial segregation of the largest post-Soviet cities: analysis of the geography of personal activity of residents based on big data”.

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Correspondence to Oleksandra Nenko .

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Nenko, O., Kurilova, M., Konyukhov, A., Bogomolov, Y. (2023). Defining the Real Structure of the City Through Spaces of Everyday Activity Based on User-Generated Online Data. In: Antonyuk, A., Basov, N. (eds) Networks in the Global World VI. NetGloW 2022. Lecture Notes in Networks and Systems, vol 663. Springer, Cham. https://doi.org/10.1007/978-3-031-29408-2_7

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