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Assessment of Spatial Inequality Through the Accessibility of Urban Services

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

Abstract

This paper examines a method for assessing spatial inequality through access to opportunities and urban services based on modeling an intermodal graph of accessibility of urban areas. The goal is to obtain ratings on the difference in physical access to services and opportunities on public transport by social groups. This is done by collecting data on the city’s residential areas and urban amenities that serve the functions of education, health, sports, and leisure. Calculation of travel time by public transport to the nearest service of each type is carried out using an intermodal graph. The result of the work is an assessment of the accessibility of services in terms of travel time, compared with urban planning standards.

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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 Aleksandr Morozov .

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Morozov, A., Shmeleva, I.A., Zakharenko, N., Budenny, S., Mityagin, S. (2023). Assessment of Spatial Inequality Through the Accessibility of Urban Services. 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_18

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  • DOI: https://doi.org/10.1007/978-3-031-36808-0_18

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