Study of small-town mobility in an example of Kremenets
Students Name: Tiurdo Nazar Olehovych
Qualification Level: master (ESP)
Speciality: Smart transport and logistics for cities
Institute: Institute of Mechanical Engineering and Transport
Mode of Study: full
Academic Year: 2022-2023 н.р.
Language of Defence: ukrainian
Abstract: The movement of people within and between cities affects essential aspects of our society, such as the general standard of living, work efficiency, and communication. Researchers use mathematical models to predict those flows when passenger flow information is unavailable for a particular city or region. In many studies at this time, improved gravity models are proposed for use; they have already shown their effectiveness in predicting passenger flows. Such data are often obtained from the materials of master plans of cities and other open sources regarding the structure of the town and its development prospects [1]. While much academic effort is directed at the physical and geographic principles of mobility using data on individual movements (considering the possibility of obtaining information about the location of communication subscribers, etc.), systematic econometric modeling of the spatiotemporal logic of periodic suburban mobility is insufficiently covered [2]. Also, at this time, imaginative city concepts are being developed for small settlements, which combine technologies, municipal management, and various layers of society using the Internet of Things or artificial intelligence. These mechanisms, in turn, contribute to the development of multiple aspects of a smart city, including, for example, transportation, governance, education, security, and communication [3]. Also, in small cities, research on the types of mobility is often conducted to determine which type of movement is most suitable for residents of a particular settlement [4]. Many new studies look at the differences in the behavior of residents who are regular or occasional transport users, which shape the demand for transport. For this, the level of service satisfaction is determined, and the key factors contributing to the choice of public transport as the primary mode of transportation are determined. This is quite relevant for cities with an area of up to 50 km2 [5]. ? Study object – mobility of the urban population. Scope of research – patterns of changes in the correspondence of residents of small towns in comparison with the data of the gravity model. Goal of research: to establish discrepancies between the results of calculating the mobility of city residents using the classical gravity model and the results of field studies. Real-time studies of passenger flow on the highway route of the city were conducted. The volume of transportation on 24 bus routes in the city was considered. Passenger flows on this route vary between 150-450 passengers per hour. A comparative analysis of the results obtained from the gravity model and the natural method was carried out. In general, the values of passenger flows differ by 5-7% in most sections of the route; however, in the central zones, the difference can be 22-29% due to the shift of the actual passenger flow to the points of attraction. Keywords - urban transport planning, functional zoning, bus routes, gravity models, points of attraction, the geography of urban mobility. References 1. Simini, F., Barlacchi, G., Luca, M., & Pappalardo, L. (2021). A deep gravity model for mobility flows generation. Nature communications, 12(1), 6576. 2. Gu, H., Shen, J., & Chu, J. (2023). Understanding Intercity Mobility Patterns in Rapidly Urbanizing China, 2015–2019: Evidence from Longitudinal Poisson Gravity Modeling. Annals of the American Association of Geographers, 113(1), 307-330. 3. Ruohomaa, H., Salminen, V., & Kunttu, I. (2019). Towards a smart city concept in small cities. 4. Thondoo, M., Marquet, O., Marquez, S., & Nieuwenhuijsen, M. J. (2020). Small cities, big needs: Urban transport planning in cities of developing countries. Journal of Transport & Health, 19, 100944. 5. Jaber, A., Al-Sahili, K., & Juhasz, J. (2023). Demand-responsive Users’ Travel Behavior and Satisfaction Analysis in Small Cities: Case Study of the Public Transportation System in Palestine. Periodica Polytechnica Transportation Engineering, 51(2), 190-199.