INFORMATION SUPPORT OF MODELING OF GRAVITY FUNCTION OF EMPLOYEES OF CITY SERVICE ENTERPRISES

Array

Authors

  • I. Chumachenko O.M. Beketov National University of Urban Economy in Kharkiv
  • N. Davidich O.M. Beketov National University of Urban Economy in Kharkiv
  • A. Galkin O.M. Beketov National University of Urban Economy in Kharkiv
  • Yu. Davidich O.M. Beketov National University of Urban Economy in Kharkiv
  • Y. Kush O.M. Beketov National University of Urban Economy in Kharkiv
  • G. Samchuk O.M. Beketov National University of Urban Economy in Kharkiv

Keywords:

city-services, information, transport, resettlement, gravity, function, model.

Abstract

The article is devoted to the establishment of information support to determine the patterns of changing the function of gravitation of employees of the urban-service enterprises. It has been established that the development of urban transport systems is impossible without the use of information technology to predict the parameters of the formation and absorption of passenger traffic. The design of urban transport systems cannot be achieved without assessing the impact of traffic improvement measures on changes in traffic and passenger flows. The main parameter by which it is possible to predict the choice of places of gravity by the inhabitants of cities is the function of gravitation between different areas of the city. The formalized functions of the gravitation of urban dwellers are not differentiated by the social composition of the population of cities. In addition, they use only travel time between areas of the city as an independent variable. The article proposes the formalization of the gravitation function of employees of the urban service enterprises using the parameters of the urban transport system, areas of departure and arrival, as well as the cost of movement. A special questionnaire has been developed to obtain the original information. A natural survey was carried out using it. As a result of the processing of survey data using correlation and regression analysis methods, the degree of influence of the studied factors on the value of the gravitation function of employees of urban service enterprises was revealed. Analysis of the correlation values obtained showed that the most significant impact on the value of the gravitation function of employees of urban services is the ratio of the cost of movement between districts and average wages in the city. The least impact is the distance from the area of residence to the place of application of work, the ratio of the cost of one square meter of housing in the area of residence and the average salary in the city, the ratio of the cost of one square meter of housing in the area of employment application and the average salary in the city. However, the compatible influence of all factors can change the level of influence of each factor and its combinations. In addition, it is advisable to take into account the technical and operational performance of urban passenger transport routes and individual transport routes.

Author Biographies

I. Chumachenko, O.M. Beketov National University of Urban Economy in Kharkiv

Doctor of Engineering Science, Professor, Head of the Department

N. Davidich, O.M. Beketov National University of Urban Economy in Kharkiv

PhD, Associate Professor of the Department

A. Galkin, O.M. Beketov National University of Urban Economy in Kharkiv

PhD, Associate Professor, Associate Professor of the Department

Yu. Davidich, O.M. Beketov National University of Urban Economy in Kharkiv

Doctor of Engineering Science, Professor, Professor of the Department

Y. Kush, O.M. Beketov National University of Urban Economy in Kharkiv

PhD, Associate Professor, Associate Professor of the Department

G. Samchuk, O.M. Beketov National University of Urban Economy in Kharkiv

PhD, Senior Lecturer of the Department

References

1. Kudryavtsev, O.K. (1985) Resettlement and planning structure of major metropolitan cities, 136.
2. Pugachev, I.N. (2010) Theoretical principles and methods to improve the efficiency of the transport systems of cities: diss. doct. technical sciences: 05.22.01, 354.
3. Shiftan, Y., Kaplan, S. & Hakkert, S. (2003) Scenario building as a tool for planning a sustainable transportation system / Transportation Research Part D: Transport and Environment, 8(5), 163–167.
4. Holsky, Y.U. (2013) Assessment of the impact of transport infrastructure on the socio-economic development of the region: diss. сandidate technical sciences: 08.00.05, 228.
5. Khansari, N., Mostashari, A. & Mansouri, M. (2014) Impacting sustainable behavior and planning in smart city / International Journal of Sustainable Land Use and Urban Planning, 2014, 1(2).
6. Banister, D. (2008) The sustainable mobility paradigm / Transport policy, 2008, 15(2), 73–80.
7. Potapova, I.A., Boyarshinova, I.N., Ismagilov, T.R. (2016) Transport Flow Modeling Methods / Fundamental Research, No. 10-2, 338–342.
8. Ahmadinurov, M.M., Timofeeva, G.A. (2011) Mathematical models of traffic flow management: monograph, 120.
9. Shvetsov, V.I. (2003) Mathematical simulation of traffic flows, 189.
10. Davidich, J.A, Ponkratov, D.P (2006) Distribution of transport correspondence on alternative routes / Bulletin of Kremenchuk State Polytechnic University, Ex. 2/2006 (37), PART 1, 86–88.
11. Brailovsky, N.O., Granovsky, B.I. (1975) Traffic control, 112.
12. Spirin, I.V. (2004) Transportation of passengers by urban transport, 413.
13. Dolya, V.K. (2011) Passenger transportation, 504.
14. Fedorov, V.P., Bulycheva, N.V., Losin, L.A., Pakhomova, O.M. (2009) Transportation system of the center of a major city. Analysis using mathematical modeling methods / Territory Development Management, 4, 18–25.
15. Sharov, M.I. (2008) Perfection of methods of estimation of transport demand for transportation by urban passenger transport. Author's abstract. diss to soup. Student degree Candidate tech Sciences : 05.22.10, 19.
16. Furletti, B., Gabrielli, L., Giannotti, F., Milli, L., Nanni, M., Pedreschi, D., Garofalo, G. (2014) Use of mobile phone data to estimate mobility flows. Measuring urban population and inter-city mobility using big data in an integrated approach. In Proceedings of the 47th Meeting of the Italian Statistical Society.
17. Gavrilov, E.W., Linnik, I.E., Sirota, V.M. (2004) Ergonomics traffic management / Municipal Utilities of Cities, Vyp. 58, 163–169.
18. Hale, A.R., Stoop, J., Hommels, J. (2009) Human error models as predictors of accident scenarios for designers in road transport systems / Ergonomics, 33(10-11). – Р. 1377–1387.
19. Galushko, V.G. (1976) Probabilistic – statistical methods on motor transport, 232.
20. Davidich, J.A, Ponkratov, D.P. (2006) Distribution of transport correspondence on alternative routes / Bulletin of Kremenchuk State Polytechnic University, Ex. 2/2006 (37), PART 1, 86–88.
21. Dreiner, N. (1973) Applied regression analysis, 392.
22. Zavadsky, Yu.V. (1981) Solving the problems of automobile transport and road-building machines using regression analysis, 11.
23. Zavadsky, Yu.V. (1978) Planning of the experiment in the problems of automobile transpor, 156.

Downloads

Published

2021-06-29

How to Cite

Chumachenko, I., Davidich, N., Galkin, A., Davidich, Y., Kush, Y., & Samchuk, G. (2021). INFORMATION SUPPORT OF MODELING OF GRAVITY FUNCTION OF EMPLOYEES OF CITY SERVICE ENTERPRISES: Array. Municipal Economy of Cities, 3(163), 165–172. Retrieved from https://khg.kname.edu.ua/index.php/khg/article/view/5799

Issue

Vol. 3 No. 163 (2021): Series: Engineering science and architecture

Section

статьи

License

The authors who publish in this collection agree with the following terms:
• The authors reserve the right to authorship of their work and give the magazine the right to first publish this work under the terms of license CC BY-NC-ND 4.0 (with the Designation of Authorship - Non-Commercial - Without Derivatives 4.0 International), which allows others to freely distribute the published work with a mandatory reference to the authors of the original work and the first publication of the work in this magazine.
• Authors have the right to make independent extra-exclusive work agreements in the form in which they were published by this magazine (for example, posting work in an electronic repository of an institution or publishing as part of a monograph), provided that the link to the first publication of the work in this journal is maintained. .
• Journal policy allows and encourages the publication of manuscripts on the Internet (for example, in institutions' repositories or on personal websites), both before the publication of this manuscript and during its editorial work, as it contributes to the emergence of productive scientific discussion and positively affects the efficiency and dynamics of the citation of the published work (see The Effect of Open Access).