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Abstract

Summary

The purpose of the research is to improve the social infrastructure of residential areas using geoinformation systems. The study of this issue is relevant in the applied sense of beautification and attractiveness of territories. The applied value of the research concerns the areas of new buildings. To achieve this goal, the authors suggest using programming tools in geographic information systems to improve social infrastructure and spatial analysis using three-dimensional scenes in real-time. To achieve this goal, the authors used ArcGIS software, which allows you to visualize the modelling results for more visual perception. The final implementation is the adoption of the necessary decision to improve the location of parking lots within the studied area. The authors researched the example of the Industrial district of the city of Kharkiv, Ukraine. The sequence of steps for improving the location of parking lots proposed in the article can be used to process statistical data in any settlement. For the first time, the authors proposed a symbiosis of the heuristic method and Dijkstra’s algorithm when searching for the shortest path. Further research in this direction may involve considering a larger number of factors. As a practical implementation, mathematical formulas are presented for determining the efficiency of the improved parking location. Such indicators can be determined during the conducted research and presented using the elements of the ArcGIS software package. The result of the conducted research is the developed program code and the built sequence of steps for improving parking using GIS. The results of the research will make it possible to significantly improve the social infrastructure of residential areas. The principle of preliminary modelling proposed by the authors using a geodatabase and three-dimensional scenes is effective for solving any issues. the developed action sequence of steps can be used in regions of Ukraine connected to the social infrastructure.

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/content/papers/10.3997/2214-4609.2023510107
2023-10-02
2025-04-25
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References

  1. Balzano, W., Lapegna, M., Stranieri, S. & Vitale, F. (2022). Competitive-blockchain-based parking system with fairness constraints.Soft Computing, 26 (9), 4151–4162 doi:10.1007/s00500‑022‑06888‑1 [in English].
    https://doi.org/10.1007/s00500-022-06888-1 [Google Scholar]
  2. Coulibaly, M., Errami, A., Belkhala, S. & Medromi, H. (2021). A live smart parking demonstrator: Architecture, data flows, and deployment.Energies, 14(7), doi:10.3390/en14071827 [in English].
    https://doi.org/10.3390/en14071827 [Google Scholar]
  3. Kousik, R. (2023, August, 05). The Top 10 Algorithms Every Programmer Should Know In Graph Data Structure. Retrieved from https://dev.to/rajkousik/the-top-10-algorithms-every-programmer-should-know-in-graph-data-structure-40a5.
    [Google Scholar]
  4. Bakhat, M. & Verma, P. (2020). Study of parking characteristics in district anantnag of jammu and Kashmir.International Journal of Scientific and Technology Research, 9(1), 2927–2935 [in English].
    [Google Scholar]
  5. Nedylko, K. V. (2023, August, 05). Harkove nachinayutsya problemy s parkovkoij «Kommentarii.ua» [Parking problems begin in Kharkov «Comments.ua»] Retrieved from https://kharkov.comments.ua/ua/news/war/2022/13112-u-harkovi-pochinayutsya-problemi-z-parkuvannyam.html.
    [Google Scholar]
  6. Nithya, R., Priya, V., Sathiya Kumar, C., Dheeba, J. & Chandraprabha, K. (2022), A smart parking system: An IoT based computer vision approach for free parking spot detection using faster R-CNN with YOLOv3 method.Wireless Personal Communications, 125(4), 3205–3225, doi:10.1007/s11277‑022‑09705‑y [in English].
    https://doi.org/10.1007/s11277-022-09705-y [Google Scholar]
  7. Pomortseva, O. (2018). Modelyuvannya roztashuvannya ekologichno nebezpechnih ob`ektiv za dopomogoyu geoinformaciijnih system. [Modeling the location of environmentally hazardous objects using geoinformation systems]Scientific notes of the Tavra National University named after VI Vernadskyi, Series: Technical sciences, 29 (68), № 6 (2), S. 222–227 [in Ukrainian].
    [Google Scholar]
  8. Pomortseva, O., Kobzan, S., Voronkov, O. & Evdokimov, A. (2021). Geospatial modeling of the optimal location of the infrastructure object.The International Conference on Sustainable Futures: Environmental, Technological, Social and Economic Matters (ICSF 2021) Kryvyi Rih, Ukraine, E3S Web Conf. Volume 280 [in English].
    [Google Scholar]
  9. Vieira, R., Argento, E. & Revoredo, T. (2022). An autonomous parallel parking algorithm for car-like mobile robots, Journal of Control, Automation and Electrical Systems, 33(6), 1762–1772 doi:10.1007/s40313‑022‑00924‑z [in English].
    https://doi.org/10.1007/s40313-022-00924-z [Google Scholar]
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