Patterns of using parking space
Abstract
The purpose of the work is to study the interdependence of quantitative characteristics of the intensity of vehicle turnover in the parking lot, the occupancy of the parking space, the duration of their storage, as well as a number of deterministic statistical indicators of random processes. The subject of the study is the functioning patterns of a parking lot located on the territory of a large shopping center. The initial data was obtained using a hardware and software system for recording vehicle traffic, which allows recording the time of a car’s entry into and exit from the parking area. As a result of the study, the time dependence of the intensity of entry and exit of cars, the degree of occupancy of the parking space, the duration of storage of cars, as well as statistical indicators of the duration of their parking were established. It seems promising in the future to turn to the development of methodological foundations for constructing a model for the functioning of parking areas in the city based on identifying significant dependencies between the location of centers of attraction, the number of parking spaces, the degree of occupancy of parking lots and other factors. Such a model can serve as the basis for forecasting and long-term planning of the placement and use of city parking lots, informed decision-making on zoning parking space and determining pricing policies.
About the Authors
Yu. A. Shchukin
Perm National Research Polytechnic University (PNIPU)
Russian Federation
Russian Federation
Yu. A. Shchukin, postgraduate student of the Department of Automobiles and Technological Machines
M. G. Boyarshinov
Perm National Research Polytechnic University (PNIPU)
Russian Federation
Russian Federation
Mikhail G. Boyarshinov, Dr. Sci.(eng.), Professor of the Department of Automobiles and Technological Machines
D. V. Artemenko
Perm Road Traffic Directorate
Russian Federation
Russian Federation
Dmitry V. Artemenko, head
References
1. Najmi A., Bostanara M., Gu Z., Rashidi T. H. On-street parking management and pricing policies: An evaluation from a system enhancement perspective // Transportation Research Part A: Policy and Practice. 2021. Vol. 146. P. 128–151. DOI: doi.org/10.1016/j.tra.2021.02.009.
2. Зедгенизов А. В., Базан А.В. Методика оценки потребного числа мест для паркирования возле центров массового тяготения на урбанизированных территориях // Вестник СибАДИ. 2020. № 1 (71). С.72–83. DOI: https://doi.org/10.26518/2071–7296-2020-17-1-72–83.
3. Gao L., Fan W., Hu Z., Jian W. Prediction of Vacant Parking Spaces in Multiple Parking Lots: A DWT-ConvGRU-BRC Model // Appl. Sci. 2023. Vol. 13 (6); 3791. DOI: https://doi.org/10.3390/app13063791.
4. Елистратов Д. А. Обоснование транспортно-планировочных условий размещения объектов торгового обслуживания // Транспортное планирование и моделирование. Цифровое будущее управления транспортом: сб. тр. III Междунар. науч.-практ. конф., Москва, 24–25 мая 2018. М.: МАДИ, 2018. С. 49–56.
5. Якимов М. Р. Транспортное планирование. Концепция парковочной политики в городах. М.: Университетская книга, 2019. 96 с.
6. Albalate D., Gragera A. The impact of curbside parking regulations on car ownership // Reg. Sci. Urban Econ. 2020. Vol. 81. 103518. DOI: https://doi.org/10.1016/j.regsciurbeco.2020.103518.
7. Tasseron G., Martens R. Urban parking space reservation through bottom-up information provision: An agent-based analysis // Computers, Environment and Urban Systems. 2017. Vol. 64. P. 30–41. DOI: https://doi.org/10.1016/j.compenvurbsys.2017.01.002.
8. Kushchenko L., Kushchenko S., Novikov I., Novikov A. The paid parking space organization as one of the ways to increase the capacity of the road in Belgorod urban agglomeration // Transp. Res. Proc. 2022. Vol. 63. P. 868–877. DOI: https://doi.org/10.1016/j.trpro.2022.06.084.
9. Egorov K., Krivospichenko S., Yadav V., Parygin D., Finogeev A. Research methodology for quantitative and qualitative parameters of parking space use // Procedia Comput. Sci. 2021. Vol. 193. P. 62–71. DOI: https://doi.org/10.1016/j.procs.2021.10.007.
10. Farley A., Ham H., Hendra. Real Time IP Camera Parking Occupancy Detection using Deep // Procedia Comput. Sci. 2021. Vol. 179. P. 606–614. DOI: 10.1016/j.procs.2021.01.046.
11. Parmar J., Das P., Dave S. M. Study on demand and characteristics of parking system in urban areas: A review // J. Traffic and Transp. Eng. 2020. Vol. 7. Iss. 1. P. 111–124. DOI: https://doi.org/10.1016/j.jtte.2019.09.003.
12. Боровской А. Е., Ходырева Е. И., Буряченко Н. А. Методика проведения натурных исследований парковочного пространства // Информационные технологии и инновации на транспорте: материалы 2-й Междунар. науч.-практ. конф, Орел, 17–18 мая 2016. Орел: ОГУ им. И. С. Тургенева, 2016. С. 403–410.
13. Казимиров А. О., Бурков Д. Г. Прогнозирование интенсивности транспортных и пешеходных потоков к центрам массового тяготения на примере супермаркетов г. Иркутска // Вестник ИрГТУ. 2018. Т. 22. № 2. С. 209–216. DOI: http://dx.doi.org/10.21285/1814-3520-2018-2-209-216.
14. Бояршинов М. Г., Вавилин А. С., Шумков А. Г. Использование комплекса фотовидеофиксации нарушений правил дорожного движения для выделения детерминированной и стохастической составляющих интенсивности транспортного потока // Интеллект. Инновации. Инвестиции. 2021. № 3. С. 61–71. DOI: 10.25198/2077–7175–2021–3–61.
15. Бояршинов М. Г., Вавилин А. С., Шумков А. Г. Фурье-анализ интенсивности транспортного потока // Интеллект. Инновации. Инвестиции. 2021. № 4. С. 46–59. DOI: 10.25198/2077-7175-2021-4-46.
Review
For citations:
Shchukin Yu.A., Boyarshinov M.G., Artemenko D.V. Patterns of using parking space. Transport of the Russian Federation. 2023;(3-4):44-50. (In Russ.)
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