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Finding the Consumer Center of St. Petersburg?

Author

Listed:
  • Konstantin A. Kholodilin

    (National Research University Higher School of Economics)

  • Irina Krylova

    (National Research University Higher School of Economics)

  • Darya Kryutchenko

    (St. Petersburg State University, Russia)

Abstract

In the urban economics, the distribution of people and real estate prices depends on the location of the central business district. As distance from the city center increases, both prices and population density diminish, for travel costs increase in terms of time and money. As manufacturing gradually leaves the cities, the importance of consumer amenities as attractors of population to the urban areas increases. The role of the business center is being taken over by the consumer center. This paper identies the location of the consumer center of St. Petersburg - the second largest city in Russia and its former capital. For this purpose using data from open sources on the Internet regarding the location of dierent types of urban amenities, the indices of their spatial density are computed. Using weights based on coefficients of spatial variation and surveys, the individual indices are aggregated to two general centrality indices. Their unique maxima correspond to the city center of St. Petersburg, which is located on Nevsky prospekt, between Fontanka river and Liteinyi prospekt.

Suggested Citation

  • Konstantin A. Kholodilin & Irina Krylova & Darya Kryutchenko, 2017. "Finding the Consumer Center of St. Petersburg?," HSE Working papers WP BRP 165/EC/2017, National Research University Higher School of Economics.
    • Handle: RePEc:hig:wpaper:165/ec/2017
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    References listed on IDEAS

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    Keywords

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    JEL classification:

    • R14 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Land Use Patterns
    • R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods
    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation

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