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Tytuł artykułu

Development of pricing policy for car parking in Ukrainian cities

Treść / Zawartość
Identyfikatory
Warianty tytułu
PL
Opracowanie polityki cenowej parkingów w miastach ukraińskich
Języki publikacji
EN
Abstrakty
EN
The purpose of the paper is to develop effective approaches to improving hourly parking pricing policies in Ukraine, considering both local and international best practices. The paper poses the following research problem: how to design a parking pricing system that efficiently manages demand, reduces urban congestion, and aligns with sustainable development goals. The paper poses the following hypothesis: performance-based pricing, incorporating factors such as parking demand, duration, and purchasing power, is more effective in managing urban parking resources than traditional fixed-rate systems. The research presented in the paper fills a research niche in the field by addressing the lack of dynamic pricing models in Ukrainian cities and their integration with broader urban planning and post-war reconstruction efforts. The study analyzed parking prices in Ukraine and selected European countries, both in nominal terms and adjusted for the purchasing power index, highlighting significant disparities and the need for localized solutions. The main conclusions of the research are that dynamic pricing strategies, supported by advan- ced technologies such as smart parking meters and automated data collection systems, can enhance the efficiency of parking management. Such approaches not only optimize parking space turnover but also influence driver behavior, contributing to reduced congestion and emissions. However, their implemen- tation requires substantial financial and human resources, which are currently limited in Ukraine. As such, broader application of these strategies may only become feasible after the completion of the war and with increased involvement of international donors. The findings provide a foundation for improving parking pricing policies in Ukraine, particularly in the context of urban logistics and sustainable development.
PL
Celem artykułu jest opracowanie skutecznych podejść do poprawy polityki cenowej godzi- nowego parkowania na Ukrainie, biorąc pod uwagę zarówno lokalne, jak i międzynarodowe najlepsze praktyki. Artykuł stawia następujący problem badawczy: jak zaprojektować system cenowy parkingu, który skutecznie zarządza popytem, zmniejsza korki miejskie i jest zgodny z celami zrównoważonego rozwoju. Artykuł stawia następującą hipotezę: cennik oparty na wynikach, uwzględniający takie czynniki, jak popyt na parking, czas trwania i siła nabywcza, jest skuteczniejszy w zarządzaniu zasobami parkingowymi w miastach niż tradycyjne systemy o stałej stawce. Badania przedstawione w artykule wypełniają niszę badawczą w tej dziedzinie, zajmując się brakiem dynamicznych modeli cenowych w miastach ukraińskich i ich integracją z szerszym planowaniem urbanistycznym i powojennymi wysiłkami na rzecz odbudowy. W badaniu przeanalizowano ceny parkingowe na Ukrainie i w wybranych krajach europejskich, zarówno w wartościach nominalnych, jak i skorygowanych o wskaźnik siły nabywczej, podkreślając znaczące dysproporcje i potrzebę lokalnych rozwiązań. Główne wnioski z badań są takie, że dynamiczne strategie cenowe, wspierane przez zaawansowane technologie, takie jak inteligentne parkomaty i zautomatyzowane systemy gromadzenia danych, mogą zwiększyć wydajność zarządzania parkingiem. Takie podejście nie tylko optymalizuje rotację miejsc parkingowych, ale także wpływa na zachowanie kierowców, przyczyniając się do zmniejszenia korków i emisji. Jednak ich wdrożenie wymaga znacznych zasobów finansowych i ludzkich, które są obecnie ograniczone na Ukrainie. W związku z tym szersze zastosowanie tych strategii może stać się wykonalne dopiero po zakończeniu wojny i przy zwiększonym zaangażowaniu międzynarodowych darczyńców. Wyniki stanowią podstawę do poprawy polityki cenowej parkingów na Ukrainie, szczególnie w kontekście logistyki miejskiej i zrównoważonego rozwoju.
Rocznik
Strony
37--52
Opis fizyczny
Bibliogr. 35 poz., tab.
Twórcy
  • Department of Urban Planning, Kyiv National University of Construction and Architecture, Ukraine
  • Department of Urban Planning, Kyiv National University of Construction and Architecture, Ukraine
  • Department of Urban Planning, Kyiv National University of Construction and Architecture, Kyiv, Ukraine
  • Faculty of Social Sciences and Social Technologies, National University of Kyiv-Mohyla Academy, Kyiv, Ukraine
  • Department of Management, Finance and Business Administration, International European University, Kyiv, Ukraine
Bibliografia
  • [1] Amin, A., Tareen, W.U., Usman, M., Ali, M., Bari, I., Horan, B., Mekhilef, S., Asif, M., Ahmed, S. and Mahmood, A., 2020. A review of optimal charging strategy for electric vehicles under dynamic pricing schemes in the distribution charging network. Sustainability, 12(23).
  • [2] Basu, R. and Ferreira, J., 2021. Sustainable mobility in auto-dominated Metro Boston: Challenges and opportunities post-COVID-19. Transport Policy, 103.
  • [3] Bekenov, T., Nussupbek, Z. and Tassybekov, Z., 2020. Evaluation of the Support-Coupling Pate cy of Self-propelled Transport. Lecture Notes in Intelligent Transportation and Infrastructure, Part F1382.
  • [4] Bogucka, A. and Landmann, T., 2022. International Humanitarian City as a global logistics hub in 2018-2021 – a case study. Military Logistics Systems, 56 (1).
  • [5] Fahim, A., Hasan, M. and Chowdhury, M.A., 2021. Smart parking systems: Comprehensive review based on various aspects. Heliyon, 7(5), E07050.
  • [6] Gu, Z., Najmi, A., Saberi, M., Liu, W. and Rashidi, T.H., 2020. Macroscopic parking dynamics modeling and optimal real-time pricing considering cruising-for-parking. Transportation Research Part C: Emerging Technologies, 118.
  • [7] Kashkanov, A.A. and Korniichuk, M.D., 2023. Aspects of ensuring the effective operation of motor vehicles [online]. Available at: https://ir.lib.vntu.edu.ua/bitstream/handle/123456789/41571/19252.pdf [9 January 2025].
  • [8] Katrenko, A., Krislata, I., Veres, O., Oborska, Vasyliuk, A., Rishnyak, N. Demyanovskyi and Meh, O., 2021. Development of traffic flows and smart parking system for smart city. In: International Conference on Computational Linguistics and Intelligent Systems [online]. Available at: https://www.semanticscholar.org/paper/Development-of-Traffic-Flows-and-Smart-Parking-for-Katrenko-Krislata/021763c4800d12b30522e6ccb043f0d26cf02e8b [9 January 2025].
  • [9] Khalid, M., Wang, K., Aslam, N., Cao, Y., Ahmad, N. and Khan, M.K., 2021. From smart parking towards autonomous valet parking: A survey, challenges and future Works. Journal of Network and Computer Applications, 175.
  • [10] Kiurchev, S., Abdullo, M.A., Vlasenko, T., Prasol, S. and Verkholantseva, V., 2023. Automated Control of the Gear Profile for the Gerotor Hydraulic Machine. In: Lecture Notes in Mechanical Engineering. Cham: Springer.
  • [11] Klasa, A.A., 2021. Hazard and risk analysis in the logistics safety system based on international quality requirements. Military Logistics Systems, 55 (2).
  • [12] Kopotun, I.M. and Rudyk, M.M., 2022. Scientific support for the prevention of criminal offenses in the field of road traffic safety and operation of road transport. In: Collection of Papers of the Participants of the International Scientific and Practical Conference “Ukrainian Research Space in the Time of War: Adaptation and Reboot of Technical and Legal Sciences”. Kharkiv: Zhukovsky National Aerospace University [online]. Available at: https://dspace.library.khai.edu/xmlui/bitstream/handle/123456789/2790/Conference.pdf?sequence=1&isAllowed=y#page=124 [9 January 2025].
  • [13] Kunakh, O.M., Yorkina, N.V., Zhukov, O.V., Turovtseva, N.M., Bredikhina, Y.L. and Logvina-Byk, T.A., 2020. Recreation and terrain effect on the spatial variation of the apparent soil electrical conductivity in an urban park. Biosystems Diversity, 28(1).
  • [14] Law of Ukraine No. 875-XII “On the Fundamentals of Social Protection of Persons with Disabilities in Ukraine”, 1991 [online]. Available at: https://zakon.rada.gov.ua/laws/show/875-12#Text [9 January 2025].
  • [15] Local purchasing power index by country 2024 mid-year, 2024 [online]. Available at: https://www.numbeo.com/cost-of-living/rankings_by_country.jsp?displayColumn=5 [9 January 2025].
  • [16] Mei, Z., Feng, C., Kong, L., Zhang, L. and Chen, J., 2020. Assessment of different parking pricing strategies: A simulation-based analysis. Sustainability, 12(5).
  • [17] Mo, B., Kong, H., Wang, H., Wang. X. and Li, R., 2021. Impact of pricing policy change on on-street parking demand and user satisfaction: A case study in Nanning, China. Transportation Research Part A: Policy and Practice.
  • [18] Panchenko, A., Voloshina, A., Sadullozoda, S.S., Panchenko, I. and Mitin, V., 2023. The Changes in the Output Parameters of Planetary Hydraulic Machines with the Increase in the Gap Between Their Rotors. In: Lecture Notes in Mechanical Engineering. Cham: Springer.
  • [19] Parmar, J., Das, P. and Dave, S.M., 2020. Study on demand and characteristics of parking system in urban areas: A review. Journal of Traffic and Transportation Engineering (English Edition), 7(1).
  • [20] Pazynenko, I.O. and Kholodova, O.O., 2020. World experience in solving parking problems in cities. In: Proceedings of the 82nd International Student Scientific Conference. Kharkiv: Kharkiv National Automobile and Highway University [online]. Available at: https://api.dspace.khadi.kharkov.ua/server/api/core/bitstreams/315aacd7-f8ab-4e44-aa39-63bf674f5f2e/content [9 January 2025].
  • [21] Resolution of the Cabinet of Ministers of Ukraine No. 258-r “On Approval of the Procedure for Pricing Services for the Use of Paid Parking Areas”, 2010 [online]. Available at: https://zakon.rada.gov.ua/laws/show/258-2010-%D0%BF#Text [9 January 2025].
  • [22] Rosenblum, J., Hudson, A.W. and Ben-Joseph, E., 2020. Parking futures: An international review of trends and speculation. Land Use Policy.
  • [23] Saharan, S., Bawa, S. and Kumar, N., 2020. Dynamic pricing techniques for Intelligent Transportation System in smart cities: A systematic review. Computer Communications, 150.
  • [24] Saharan, S., Kumar, N. and Bawa, S., 2020. An efficient smart parking pricing system for smart city environment: A machine-learning based approach. Future Generation Computer Systems.
  • [25] Shults, R., Bilous, M., Ormambekova, A., Nurpeissova, T., Khailak, A., Annenkov, A. and Akhmetov, R., 2023. Analysis of Overpass Displacements Due to Subway Construction Land Subsidence Using Machine Learning. Urban Science, 7(4).
  • [26] Shults, R., Urazaliev, A., Annenkov, A., Nesterenko, O., Kucherenko, O. and Kim, K., 2020. Different approaches to coordinate transformation parameters determination of nonhomogeneous coordinate systems. In: Environmental Engineering (Lithuania) (article number: enviro.2020.687). Vilnius: VGTU.
  • [27] Simic, V., Gokasar, I., Deveci, M. and Karakurt, A., 2022. An integrated CRITIC and MABAC based type-2 neutrosophic model for public transportation pricing system selection. Socio--Economic Planning Sciences.
  • [28] Stenin, A., Drozdovych, I. and Soldatova, M., 2020. Situational management of urban engineering networks with intelligent support for dispatching decisions. CEUR Workshop Proceedings.
  • [29] Trofymchuk, O., Stenin, A., Soldatova, M. and Drozdovich, I., 2022. Intelligent decision support systems in the development of megalopolis infrastructure. System Research and Information Technologies, 2022(2).
  • [30] Turemuratov, O., Byulegenova, B., Pogodin, S., Onuchko, M. and Nurtazina, R., 2024. Urbanization Trends in Central Asian Countries: Aspects of Extensive and Intensive Agglomeration Growth. Public Organization Review, 24(3).
  • [31] Vuelvas, J., Ruiz, F. and Gruosso, G., 2021. A time-of-use pricing strategy for managing electric vehicle clusters. Sustainable Energy, Grids and Networks.
  • [32] Wang, H., Li, R., Wang, X. and Shang, P., 2020. Effect of on-street parking pricing policies on parking characteristics: A case study of Nanning. Transportation Research Part A: Policy and Practice.
  • [33] Wang, J., Wang, H. and Zhang, X., 2020. A hybrid management scheme with parking pricing and parking permit for a many-to-one park and ride network. Transportation Research Part C: Emerging Technologies.
  • [34] Zharkenov, N.B., Kabikenov, S.Z.H., Kutienko, S.Y.U., Esbosynov, K.T., Sungatollakyzy, A. and Vlnka, J., 2017. Technique of bit-by-bit reliability calculation of dump trucks electrotransmission. Journal of Industrial Pollution Control, 33(1).
  • [35] Zhou, C., Petryshyn, H., Liubytskyi, R. and Kochan, O., 2022. Optimization of on-street parking in the historical heritage part of Lviv (Ukraine) as a prerequisite for designing the IoT smart parking system. Buildings, 12(6).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-3c96a76b-366b-4156-81cb-b6644635d4a3
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