Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/230181 
Erscheinungsjahr: 
2020
Quellenangabe: 
[Journal:] Regional Science Policy & Practice [ISSN:] 1757-7802 [Volume:] 14 [Issue:] 4 [Publisher:] Wiley [Place:] Hoboken, NJ [Year:] 2020 [Pages:] 916-938
Verlag: 
Wiley, Hoboken, NJ
Zusammenfassung: 
In an urban economy, the distribution of people and real estate prices depends on the location of the central business district of a city. As distance from the city centre 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 a business centre is being replaced by the consumer centre. In this paper, we identify the location of the consumer centre of St. Petersburg — the second largest city in Russia and its former capital. For this purpose using the data from open sources in the Internet regarding the location of many different types of urban amenities, the indices of their spatial density are computed. Using the weights based on coefficients of spatial variation and survey-based weights, the individual indices are aggregated to two general centrality indices. Their unique maxima correspond to the city centre of St. Petersburg, which is located on Nevsky prospekt, between Fontanka river and Liteinyi prospekt.
Schlagwörter: 
St. Petersburg
urban amenities
consumer city centre
2D kernel density estimation
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