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Assessment of Spatial Inequality in Agglomeration Planning

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Computational Science and Its Applications – ICCSA 2023 (ICCSA 2023)

Abstract

The paper considers the problem of spatial inequality of agglomerations. The paper proposes an approach to the estimation of spatial inequality based on the intermodal transport graph and data on the placement of urban services in the agglomeration cities. This approach has been experimentally tested on the agglomeration of St. Petersburg. The result is an assessment of the influence of cities in relation to each other, as well as the evaluation of each city by the availability of a particular type of service.

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Acknowledgements

This research is financially supported by the Russian Science Foundation, Agreement 17-71-30029 (https://rscf.ru/en/project/17-71-30029/), with co-financing of Bank Saint Petersburg.

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Correspondence to Georgii Kontsevik .

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Kontsevik, G., Lavrov, I., Morozov, A., Kharlov, L., Mityagin, S. (2023). Assessment of Spatial Inequality in Agglomeration Planning. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2023. ICCSA 2023. Lecture Notes in Computer Science, vol 13957. Springer, Cham. https://doi.org/10.1007/978-3-031-36808-0_17

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  • DOI: https://doi.org/10.1007/978-3-031-36808-0_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-36807-3

  • Online ISBN: 978-3-031-36808-0

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