Application of socially-oriented and legal innovative practices in the urban transport flow logistics and tourism

Roman Sushchenko, Yaroslav Zapara, Volodymyr Saienko, Viktor Kostiushko, Larysa Lytvynenko, Svitlana Pron


The relevance of the study is determined by the public interest in logistic support of urban transport flows and tourism. The aim of the article is to determine the best innovative practices of providing transport and tourist flows by different urban transport modes, and also to identify prospects for their use in conditions of domestic markets. The study found that according to the German experience as one of the best practices, the priority of the development should be given to the rail transport as a key component of urban transport and logistics infrastructure, including the tourism sector. It was determined that the integrated urban intelligent transport system includes the traffic management system, the public transport management system, the parking management system and the logistics flow management system, considering the impact of tourism. The regularities of the influence of factors on the dynamics of urban transport flows were determined based on a critical analysis of a number of specific cases. The prospects for the development of rural areas adjacent to such cities were determined, given the development of transport and logistics infrastructure of the country. The materials of the study can be useful for employees of the transport and logistics sector and the sphere of tourist services, researchers, graduate students, doctoral students, and government officials.


logistic support; tourism services; legal regulation; urban infrastructure; transport system


Albalate, D. and Bel, G. 2010. Tourism and urban public transport: Holding demand pressure under supply constraints. Tourism Management, 31(3): 425-433.

Altuntaş Vural, C. and Aktepe, Ç. 2021. Why do some sustainable urban logistics innovations fail? The case of collection and delivery points. Research in Transportation Business & Management, 3: 100-690.

Bo, W., Grygorak, M., Voitsehovskiy, V., Lytvynenko, S., Gabrielova, T., Bugayko, D., Ivanov, Y. and Vidovic, A. 2019. Cargo flows management model of network air carrier. Economic Studies Journal, 4: 118-124.

Daganzo, C.F. 2007. Urban gridlock: macroscopic modeling and mitigation approaches. Transportation Research Part B: Methodological, 41(1): 49–62.

EU. 2021. European tourism legislation.

Galkin, A., Popova, Y., Kyselov, V., Kniazieva, T., Kutsenko, M. and Sokolova, N. 2020. Comparison of Urban Conventional Delivery and Green Logistics Solutions. 13th International Conference on Developments in eSystems Engineering (DeSE): 95-99.

Galkin, A., Popova, Yu., Chuprina, E. and Shapovalenko, D. 2019. Interaction of logistics 4.0 and Consumer Oriented Marketing Using. ICT Proc. of the 33rd Int. Business Information Management Association Conf. Granada: IBIMA.

Gardrat, M. 2021. Urban growth and freight transport: From sprawl to distension. Journal of Transport Geography, 91: 102-979.

Geroliminis, N. and Boyacı, B. 2012. The effect of variability of urban systems characteristics in the network capacity. Transportation Research Part B: Methodological, 46(10): 1607-1623.

Geroliminis, N. and Daganzo, C.F. 2008. Existence of urban-scale macroscopic fundamental diagrams: some experimental findings. Transportation Research Part B: Methodological, 42(9): 759-770.

Guo, X.l. and Lu, Z.M. 2016. Urban road network and taxi network modeling based on complex network theory. Journal of Information Hiding and Multimedia Signal Processing, 7(3): 558–568.

Gutiérrez, A. and Miravet, D. 2016. The Determinants of Tourist Use of Public Transport at the Destination. Sustainability, 8: 908.

Hącia, E. 2019. The role of tourism in the development of the city. Transportation Research Procedia, 39: 104-111.

İmre, Ş., Çelebi, D. and Koca, F. 2021. Understanding barriers and enablers of electric vehicles in urban freight transport: Addressing stakeholder needs in Turkey. Sustainable Cities and Society, 68: 102-794.

ITF. 2019. Electrifying postal delivery vehicles in Korea. International Transport Forum Policy Papers, 73, OECD Publishing, Paris.

ITF. 2020. The ITF urban freight transport model – Insights and example outputs.

ITF. 2021. ITF Transport Outlook 2021.

Lu, F., Liu, K., Duan, Y., Cheng, S. and Du, F. 2018. Modeling the heterogeneous traffic correlations in urban road systems using traffic-enhanced community detection approach. Physica A: Statistical Mechanics and its Applications, 501: 227–237.

Lu, Z. M., Wu, Z., Guo, S. Z., Zhe, C. and Guang-Hua, S. 2014. A New Dynamic Community Model for Social Networks. International Journal of Modern Physics C, 25(2): 215–244.

Martynovych, N., Boichenko, E., Vivchar, O., Myskova, N., Popovych, O. and Kasianenko, O. 2019. Formation of educational level of the population of Ukraine in the conditions of formation of information society. International Journal of Engineering and Advanced Technology, 9(1): 6406–6410.

Porta, S., Crucitti, P. and Latora, V. 2006. The network analysis of urban streets: a dual approach. Physica A, 369(2): 853–866.

Russo, S. M., Voegl, J. and Hirsch, P. 2021. A multi-method approach to design urban logistics hubs for cooperative use. Sustainable Cities and Society, 69: 102-847.

Šourek, D. 2021. Software Support of City Logistics´ Processes. Transportation Research Procedia, 55: 172-179.

Wang, S., Yu, D., Ma, X. and Xing, X. 2018. Analyzing urban traffic demand distribution and the correlation between traffic flow and the built environment based on detector data and POIs. European Transport Research Review, 10(50).

Yang, Y., Li, D. and Li, X. 2019. Public Transport Connectivity and Intercity Tourist Flows. Journal of Travel Research, 58(1): 25-41.

Zambrano-Martinez, J.L., Calafate, C.T., Soler, D. and Cano, J.C. 2017. Towards realistic urban traffic experiments using DFROUTER: Heuristic, validation and extensions. Sensors, 17(12): 29-21.

Zambrano-Martinez, J.L., Calafate, C.T., Soler, D., Cano, J.C. and Manzoni, P. 2018. Modeling and characterization of traffic flows in urban environments. Sensors, 18(7): 2020.

Zhang, Y., Zheng, X., Chen, M., Li, Y., Yan, Y. and Wang, P. 2021. Urban Fine-Grained Spatial Structure Detection Based on a New Traffic Flow Interaction Analysis Framework. ISPRS International Journal of Geo-Information, 10(4): 227.

Zhao, S., Zhao, P. and Cui, Y. 2017. A network centrality measure framework for analyzing urban traffic flow: a case study of Wuhan, China. Physica A. 478: 143-157.

DOI: 10.33687/ijae.010.00.3856


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