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Spatial Development of the Largest Russian Cities During the Post-Soviet Period: Orienting Towards Transit or Maintaining Soviet Trends

Author

Listed:
  • Elena Koncheva

    (National Research University Higher School of Economics)

  • Nikolay Zalesskiy

    (National Research University Higher School of Economics)

Abstract

Russian cities are traditionally characterized by high levels of public transport ridership, compared to the Western cities. Moreover, the cities were intensively developing during the Soviet era when the private transport was literally absent. Thus, it can be assumed that the spatial structure of Russian cities (as well as the spatial structure of the majority of the former USSR cities) is a perfect illustration of the Transit Oriented Development (TOD). In this paper the spatial development patterns of 13 Russian cities are analyzed to assess the current situation and the prospects for transit oriented development in the Russian Federation. À brief history of urban spatial development during the Soviet period is provided. Fundamental differences between TOD and Soviet Style Development (SSD) are discussed, such as the absence of competition between the private and public transport and the absence of private ownership of land.

Suggested Citation

  • Elena Koncheva & Nikolay Zalesskiy, 2016. "Spatial Development of the Largest Russian Cities During the Post-Soviet Period: Orienting Towards Transit or Maintaining Soviet Trends," HSE Working papers WP BRP 04/URB/2016, National Research University Higher School of Economics.
    • Handle: RePEc:hig:wpaper:04/urb/2016
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    File URL: https://www.hse.ru/data/2016/07/13/1116450809/04URB2016.pdf
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    References listed on IDEAS

    as
    1. Robert Cervero & Jin Murakami, 2009. "Rail and Property Development in Hong Kong: Experiences and Extensions," Urban Studies, Urban Studies Journal Limited, vol. 46(10), pages 2019-2043, September.
    2. Kenworthy, Jeffrey R. & Laube, Felix B., 1999. "Patterns of automobile dependence in cities: an international overview of key physical and economic dimensions with some implications for urban policy," Transportation Research Part A: Policy and Practice, Elsevier, vol. 33(7-8), pages 691-723.
    3. Susan Handy, 2005. "Smart Growth and the Transportation-Land Use Connection: What Does the Research Tell Us?," International Regional Science Review, , vol. 28(2), pages 146-167, April.
    4. Cervero, Robert & Murakami, Jin, 2008. "Rail + Property Development: A model of sustainable transit finance and urbanism," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt6jx3k35x, Institute of Transportation Studies, UC Berkeley.
    5. Bertaud, Alain & Renaud, Bertrand, 1995. "Cities without land markets : location and land use in the socialist city," Policy Research Working Paper Series 1477, The World Bank.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. E. O. Saveleva, 2022. "Quantifying Spatial Structure of the Largest Regional Centers in Russia: General Patterns and Typological Features," Regional Research of Russia, Springer, vol. 12(2), pages 227-240, June.

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    More about this item

    Keywords

    urban spatial development; urban land use; land use and transportation; Soviet Style Development; Transit Oriented Development;
    All these keywords.

    JEL classification:

    • R14 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Land Use Patterns
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise

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