Skip to main content
SpringerLink
Log in

Evaluating a City’s Public Service Infrastructure Based on Online Data

  • Conference paper
  • First Online:
Digital Transformation and Global Society (DTGS 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1242))

Included in the following conference series:

  • 994 Accesses

Abstract

The paper deals with evaluation of the quality of public service infrastructure in the city of Kronstadt, the historical part of Saint-Petersburg agglomeration. Public services are considered as FMCG, cultural and recreational venues people use in everyday life. We consider the quality of public services through a set of objective (availability, accessibility, variability) and subjective (users perception) indicators. We measure the quality of public service infrastructure based on the data from open digital sources, such as Technical Passports of Houses from Open Data of Saint-Petersburg Platform, Google Maps, Google Places, and validate usability of services based on a sociological survey. We illustrate our analysis with maps which provide a detailed view on the localization, accessibility, variability of the service infrastructure. We conclude that public service infrastructure in Kronstadt does not address the needs of the dormitory areas which make up one third of all citizens of the city.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Jacobs, J.: The Death and Life of Great American Cities. Random House, New York (1961)

    Google Scholar 

  2. Oldenburg, R.: The café as a third place. In: Tjora, A., Scambler, G. (eds.) Café Society, pp. 7–21. Palgrave Macmillan US, New York (2013). https://doi.org/10.1057/9781137275936_2

    Chapter  Google Scholar 

  3. Montgomery, J.: The story of temple bar: creating Dublin’s cultural quarter. Plann. Pract. Res. 10(2), 135–172 (1995)

    Article  Google Scholar 

  4. Speck, J.: Walkable City: How Downtown Can Save America, One Step at a Time. Farrar, Straus and Giroux, New York (2012)

    Google Scholar 

  5. Aksenov, K.E.: Evolution of the types of shopping and spatial organization of retail trade in the post-Soviet metropolis. Reg. Res. Russ. 6(4), 375–386 (2016). https://doi.org/10.1134/S2079970516040043

    Article  Google Scholar 

  6. Axenov, K.: Retail, services and leisure. In: URBAN EURASIA. Cities in Transformation. DOM Publishers, Berlin (2017)

    Google Scholar 

  7. Rosenbaum, M.: Restorative servicescapes: restoring directed attention in third places. J. Serv. Manage. 20(2), 173–191 (2009)

    Article  Google Scholar 

  8. Al-Barrak, L., Kanjo, E., Younis, E.M.G.: NeuroPlace: categorizing urban places according to mental states. PLoS ONE 12(9), e0183890 (2017)

    Article  Google Scholar 

  9. Dunkel, A.: Visualizing the perceived environment using crowdsourced photo geodata. Landscape Urban Plann. 142, 173–186 (2015)

    Article  Google Scholar 

  10. Jiang, S., Alves, A., Rodrigues, F., Ferreira, J., Pereira, F.C.: Mining point-of-interest data from social networks for urban land use classification and disaggregation. Comput. Environ. Urban Syst. 53, 36–46 (2015)

    Article  Google Scholar 

  11. Boy, J.D., Uitermark, J.: How to study the city on instagram. PLoS ONE 11(6), e0158161 (2016)

    Article  Google Scholar 

  12. Salesses, P., Schechtner, K., Hidalgo, C.A.: The collaborative image of the city: mapping the inequality of urban perception. PLoS ONE 8(7), e68400 (2013)

    Article  Google Scholar 

  13. Agryzkov, T., Mart., P., Tortosa, L., Vicent, J.F.: Measuring urban activities using Foursquare data and network analysis: a case study of Murcia (Spain). Int. J. Geogr. Inf. Sci. 31(1), 1–22 (2016)

    Google Scholar 

  14. Cranshaw, J., Schwartz, R., Hong, J.I., Sadeh, N.: The livehoods project: utilizing social media to understand the dynamics of a city. In: International AAAI Conference on Weblogs and Social Media, p. 58 (2012)

    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: Chugunov, A., Misnikov, Y., Roshchin, E., Trutnev, D. (eds.) EGOSE 2018. CCIS, vol. 947, pp. 235–248. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-13283-5_18

    Chapter  Google Scholar 

  16. Nenko, A., Konyukhov, A., Mityagin, S.: Urban data and spatial segregation: analysis of food services clusters in St. Petersburg, Russia. In: Shi, Y., Fu, H., Tian, Y., Krzhizhanovskaya, V.V., Lees, M.H., Dongarra, J., Sloot, P.M.A. (eds.) ICCS 2018. LNCS, vol. 10862, pp. 683–690. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-93713-7_65

    Chapter  Google Scholar 

  17. Quercia, D., Saez, D.: Mining urban deprivation from Foursquare: implicit crowdsourcing of city land use. IEEE Pervasive Comput. 13(2), 30–36 (2014)

    Article  Google Scholar 

  18. Roberts, H.V.: Using Twitter data in urban green space research: a case study and critical evaluation. Appl. Geogr. 81, 13–20 (2017)

    Article  Google Scholar 

  19. Hamstead, Z.A., Fisher, D., Ilieva, R.T., Wood, S.A., McPhearson, T., Kremer, P.: Geolocated social media as a rapid indicator of park visitation and equitable park access. Comput. Environ. Urban Syst. 72, 38–50 (2018)

    Article  Google Scholar 

  20. Lloyd, A., Cheshire, J.: Deriving retail centre locations and catchments from geo-tagged twitter data. Comput. Environ. Urban Syst. 61, 108–118 (2017)

    Article  Google Scholar 

  21. Bentley, F., Cramer, H., Müller, J.: Beyond the bar: the places where location based services are used in the city. Pers. Ubiquit. Comput. 19(1), 217–223 (2015)

    Article  Google Scholar 

  22. Kelly, J.M., Swindel, D.: Service quality variation across urban space: first steps toward a model of citizen satisfaction. J. Urban Aff. 24(3), 271–288 (2002)

    Article  Google Scholar 

  23. Lee, M., Farzan, R., Butler, B.: This is not just a café: toward capturing the dynamics of urban places. In: The CityLab Workshop in 10th International AAAI Conference on Web and Social Media (ICWSM), pp. 20–25 (2016)

    Google Scholar 

  24. Kronstadt the City of Forts Project. https://www.кpoнштaдт.pф (https://xn-80aiqmelqc4c.xn-p1ai/). Accessed 01 Mar 2020

  25. Open Data of Saint-Petersburg Platform, Technical Passports of Houses. https://data.gov.spb.ru/opendata/7840013199-passports_houses/?search_all=пacпopтa%20мнoгoквapтиpныx%20дoмoв. Accessed 01 Mar 2020

  26. LiveInternet. https://www.liveinternet.ru/stat/ru/index.html. Accessed 01 Mar 2020

Download references

Author information

Authors and Affiliations

  1. ITMO University, Saint Petersburg, Russia

    Aleksandra Nenko & Artem Koniukhov

  2. NRU HSE, St. Petersburg, Russia

    Nataliya Belyakova

Authors
  1. Aleksandra Nenko
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Nataliya Belyakova
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Artem Koniukhov
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Aleksandra Nenko .

Editor information

Editors and Affiliations

  1. National Research University Higher School of Economics, St. Petersburg, Russia

    Daniel A. Alexandrov

  2. ITMO University, St. Petersburg, Russia

    Alexander V. Boukhanovsky

  3. ITMO University, St. Petersburg, Russia

    Andrei V. Chugunov

  4. National Research University Higher School of Economics, St. Petersburg, Russia

    Yury Kabanov

  5. National Research University Higher School of Economics, St. Petersburg, Russia

    Olessia Koltsova

  6. National Research University Higher School of Economics, St. Petersburg, Russia

    Ilya Musabirov

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Nenko, A., Belyakova, N., Koniukhov, A. (2020). Evaluating a City’s Public Service Infrastructure Based on Online Data. In: Alexandrov, D.A., Boukhanovsky, A.V., Chugunov, A.V., Kabanov, Y., Koltsova, O., Musabirov, I. (eds) Digital Transformation and Global Society. DTGS 2020. Communications in Computer and Information Science, vol 1242. Springer, Cham. https://doi.org/10.1007/978-3-030-65218-0_25

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-65218-0_25

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-65217-3

  • Online ISBN: 978-3-030-65218-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation