Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ R-Economyarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
R-Economy
Article . 2019 . Peer-reviewed
License: CC BY
Data sources: Crossref
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
R-Economy
Article
License: CC BY
Data sources: UnpayWall
versions View all 2 versions
addClaim

This Research product is the result of merged Research products in OpenAIRE.

You have already added 0 works in your ORCID record related to the merged Research product.

Spatial aspects of regional infrastructure distribution (the case of Sverdlovsk region)

Authors: Lavrikova, Ju. G.; Suvorova, A. V.;

Spatial aspects of regional infrastructure distribution (the case of Sverdlovsk region)

Abstract

The article discusses the correlation between the localization of specific infrastructure objects within a region and characteristics of this region's territorial development. Conceptually the study is grounded in the theory of regional economics, spatial analysis and modelling and uses the tools of spatial autocorrelation analysis, such as the global and local Moran's I, and map-based spatial analysis. The settlement system of Sverdlovsk region (Russia) is considered as a key characteristic of its territorial development and the analysis shows the correlation between settlement patterns and the distribution of certain objects of social infrastructure (places of attraction) across the region’s territory. Access to infrastructure is an important factor which attracts people to this or that municipality. However, the key parameter that determines the spatial aspects of infrastructure distribution in the region is the emergence and development of the factors underlying this process. The article demonstrates that the localization of infrastructure objects built to generate economic effects and bring profit to their developers to a greater extent correlates with the prospective transformations of the settlement system (primarily agglomeration processes) rather than with its current characteristics (such correlation is more typical of the infrastructure objects specifically intended to address social issues). These research findings can be used by policy-makers for setting priorities of regional development, which would shape the spatial transformations of the territory.

Keywords

MAP-BASED SPATIAL ANALYSIS, MORAN’S I, ПРОСТРАНСТВО, РЕГИОН, РАЗМЕЩЕНИЕ, REGION, СОЦИАЛЬНАЯ ИНФРАСТРУКТУРА, СИСТЕМА РАССЕЛЕНИЯ, SVERDLOVSK REGION, КАРТОГРАФИЧЕСКИЙ АНАЛИЗ, DISTRIBUTION, SETTLEMENT SYSTEM, ИНДЕКС МОРАНА, SPACE, ПРОСТРАНСТВЕННАЯ АВТОКОРРЕЛЯЦИЯ, SOCIAL INFRASTRUCTURE, SPATIAL AUTOCORRELATION, СВЕРДЛОВСКАЯ ОБЛАСТЬ

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    5
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Top 10%
Average
Average
gold