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Analysis Methods of Spatial Structure Metrics for Assessment of Area Development Effectiveness

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Digital Transformation and Global Society (DTGS 2020)

Abstract

Cities are different in their organization, but perform the same key functions everywhere in the World. However, cities sometimes provide their residents with radically different living conditions despite their apparent identity. Is it possible to compare different cities looking at their spatial structure? How to evaluate the relevant parameters? How to objectively describe living conditions, taking into account the existing nature of the use of the territory? The presence of a sufficient number of life support objects, their correct location and accessibility ultimately determine the environment quality for people life activity. The morphology of urban development is determined by the planning and zoning of the territory, urban planning standards, in which there are such indicators of regulation of development as the building coefficient, the density of the road network, the maximum and average number of buildings floors, etc. In this regard, it is proposed to introduce a systematic indicator of the quality of the urban environment, such as the area coherence, which will allow to assess the development conformity of provision infrastructure to meets the population needs. The paper discusses the analysis of urban space structure and suggests methods for measure metrics that will objectively assess the infrastructure provision of a particular section of the urban area, as well as obtain an integral indicator of urban environment quality. It is proposed to use the methods of geospatial data analysis and GIS technology to do this.

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References

  1. Urban Sustainability Index (USI). McKinsey Global Institutem. http://www.urbanchinainitiative.org/en/research/usi.html. Accessed 02 Dec 2019

  2. Quality of Living City Ranking. Mercer. https://mobilityexchange.mercer.com/Insights/quality-of-living-rankings. Accessed 21 Nov 2019

  3. Parygin, D.S., Malikov, V.P., Golubev, A.V., Sadovnikova, N.P., Petrova, T.M., Finogeev, A.G.: Categorical data processing for real estate objects valuation using statistical analysis. J. Phys. Conf. Ser. 1015, 032102 (2018). IOP Publishing

    Google Scholar 

  4. A new tool designed by Strelka KB makes it possible to diagnose a city’s problems. https://strelkamag.com/en/article/russian-cities-index. Accessed 18 Oct 2019

  5. Methodology. Urban Environment Quality Index. https://индeкc-гopoдoв.pф/#/methodology. Accessed 25 Dec 2019

    Google Scholar 

  6. Decree of the Government of the Russian Federation of March 23, 2019 N 510-r “On approval of the Methodology for the formation of an urban environment quality index”. https://legalacts.ru/doc/rasporjazhenie-pravitelstva-rf-ot-23032019-n-510-r-ob-utverzhdenii/. Accessed 21 Dec 2019

  7. Ovsiannikova, T.Y., Nikolaenko, M.N.: Quality assessment of urban environment. IOP Conf. Ser. Mater. Sci. Eng. 71, 012051 (2015). IOP Publishing

    Google Scholar 

  8. Banister, D.: Energy use, transport and settlement patterns. In: Sustainable Development and Urban Form, pp. 160–181 (1992)

    Google Scholar 

  9. Breheny, M.: Counter-urbanisation and sustainable urban forms. In: Cities in Competition: Productive and Sust. Cities for the 21st Century (1995)

    Google Scholar 

  10. Whitehand, J.W.R.: British urban morphology: the Conzenian traditional. Urban Morphol. 5(2), 103–109 (2001)

    Google Scholar 

  11. Complex Territory Development Standard. https://дoм.pф/development/urban/printsipy-kompleksnogo-razvitiya-territoriy/. Accessed 15 May 2020

    Google Scholar 

  12. Sustainable Development Goal 11. https://sustainabledevelopment.un.org/sdg11. Accessed 17 May 2020

  13. Why do you need zoning in the subway? https://zen.yandex.ru/media/grosh/zachem-nujno-zonirovanie-v-metro-5c595ed8aae2cb00ac08d94c. Accessed 05 Feb 2020

  14. Uvarova, E.L.: Zoning as a method of territorial planning. In: Izvestiya SPbGAU, vol. 44, pp. 230–235 (2016)

    Google Scholar 

  15. Functional zoning of city territory. https://rusjurist.ru/stroitelstvo/funkcionalnoe_zonirovanie_territorii_goroda/. Accessed 30 Jan 2020

  16. Silva, L.T., Monteiro, J.P.: The influence of urban form on environmental quality within a medium-sized city. Proc. Eng. 161, 2046–2052 (2016)

    Google Scholar 

  17. Mouratidis, K.: Is compact city livable? The impact of compact versus sprawled neighbourhoods on neighbourhood satisfaction. Urban Stud. 55, 2408–2430 (2018)

    Google Scholar 

  18. Lang, W., Chen, T., Chan, E.H.W., Yung, E.H.K., Lee, T.C.F.: Understanding livable dense urban form for shaping the landscape of community facilities in Hong Kong using fine-scale measurements. Cities 84, 34–45 (2019)

    Google Scholar 

  19. Jenks, M.: The sustainable city: a good and secure quality of life? In: Growing Compact: Urban Form, Density and Sustainability, New York, NY, USA (2017)

    Google Scholar 

  20. Talen, E.: Sense of community and neighbourhood form: an assessment of the social doctrine of new urbanism. Urban Stud. 36, 1361–1379 (1999)

    Google Scholar 

  21. Dawodua, A., Cheshmehzangi, A.: Impact of floor area ratio (FAR) on energy consumption at meso scale in China: case study of Ningbo. Energy Proc. 105, 3449–3455 (2017)

    Google Scholar 

  22. Parygin, D.S., Aleshkevich, A.A., Golubev, A.V., Smykovskaya, T.K., Finogeev, A.G.: Map data-driven assessment of urban areas accessibility. J. Phys. Conf. Ser. 1015, 042048 (2018). IOP Publishing

    Google Scholar 

  23. OpenStreetMap is the free wiki world map. https://www.openstreetmap.org/. Accessed 18 Feb 2020

  24. Housing and Communal Services Reform Fund. https://www.reformagkh.ru/. Accessed 10 Feb 2020

  25. SP 42.13330.2016. Town-planning. Planning and development of urban and rural settlements. http://docs.cntd.ru/document/456054209. Accessed 11 Dec 2019

  26. American society of planning officials. Floor Area Ratio. Information Report No. 111, June 1958. American Planning Association. https://www.planning.org/pas/reports/report111.htm. Accessed 10 Jan 2020

  27. Lewis, H.M.: New Zoning Plan for the District of Columbia, Columbia (1956)

    Google Scholar 

  28. Mikhailov, A.Yu., Golovnykh, I.M.: Current trends in the design and reconstruction of urban road networks, Novosibirsk (2004)

    Google Scholar 

  29. Parygin, D., Aleshkevich, A., Golubev, A., Sadovnikova, N., Shcherbakov, M.V., Savina, O.: Development the methodology of urban area transport coherence assessment. In: Kravets, A.G., Groumpos, P.P., Shcherbakov, M., Kultsova, M. (eds.) CIT&DS 2019, Part I. CCIS, vol. 1083, pp. 369–381. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-29743-5_30

    Chapter  Google Scholar 

  30. Dubelir, G.D.: City planning (1910)

    Google Scholar 

  31. Best and Worst Cities to Drive 2017. https://www.kfzteile24.de/best-and-worst-cities-to-drive-usd. Accessed 19 Jan 2020

  32. Cost of Living. https://www.numbeo.com. Accessed 21 Jan 2020

  33. Golubev, A., Sadovnikova, N., Parygin, D., Glinyanova, I., Finogeev, A., Shcherbakov, M.: Woody plants area estimation using ordinary satellite images and deep learning. In: Alexandrov, D.A., Boukhanovsky, A.V., Chugunov, A.V., Kabanov, Y., Koltsova, O. (eds.) DTGS 2018, Part I. CCIS, vol. 858, pp. 302–313. Springer, Cham (2018). https://doi.org/10.1007/978-3-030-02843-5_24

    Chapter  Google Scholar 

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Acknowledgments

The reported study was funded by Russian Foundation for Basic Research according to the research project No. 18-37-20066_mol_a_ved. The authors express gratitude to colleagues from UCLab involved in the development of UrbanBasis.com project.

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Correspondence to Danila Parygin .

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Zuev, A., Parygin, D., Sadovnikova, N., Aleshkevich, A., Boiko, D. (2020). Analysis Methods of Spatial Structure Metrics for Assessment of Area Development Effectiveness. 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_21

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  • DOI: https://doi.org/10.1007/978-3-030-65218-0_21

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