Published August 30, 2025 | Version v1
Journal article Open

DEVELOPMENT OF TOURIST ROUTES THROUGH THE PRISM OF SPATIAL DISTRIBUTION OF ROAD DENSITY IN THE CENTRAL FEDERAL DISTRICT

Authors/Creators

  • 1. Московский государственный университет имени М.В. Ломоносова (Москва, РФ);
  • 2. Московский Государственный Университет имени М.В. Ломоносова

Description

Abstract. The purpose of the study is to conduct a comparative assessment of the density of paved public roads in the regions of the Central Federal District (after CFD) in order to identify territorial imbalances in transport infrastructure. Based on official data from Rosstat for 2020-2023, the method of ranking regions by road network density (km/1000 km2), as well as the method of point-rating assessment for grouping subjects by the level of road infrastructure development, was applied. The results of the study revealed a significant differentiation: the maximum density is the Moscow region (849 km/1000 km2), the minimum is the Kostroma region (139 km/1000 km2). Using the point rating method, 3 groups of regions were identified with respect to the density of paved roads per 1000 km2: the high level (2 regions, with the exception of Moscow) - values of 111.32% and 82.2%, respectively, higher than the average for the Central Federal District in 2023 (401.76 km/1000 km2), the average level (6 regions) – indicators in the range of 6.49% – 52.44% of the average, low level (9 regions) – lagging by 25.58 – 65.4%. The results of the study can be used when planning interregional tourist routes, to justify investment programs for the development of the road network, as well as as an indicator of the transport accessibility of territories.

Files

119-129 Смекалова А.С., Сарафанов А.А..pdf

Files (407.2 kB)

Name Size
md5:5a2e8b8d6bc33580380a7d1f3b28700c
407.2 kB Preview Download

Additional details

References

  • 1. Akifyeva, I.A. (2018) Teorija i praktika primenenija habovyh marshrutov pri organizacii perevozok passazhirov avtomobil'nym transportom [Theory and practice of using hub routes in the organization of passenger transportation by road] // Fundamental'nye i prikladnye issledovanija molodyh uchjonyh: sbornik nauchnyh trudov II Mezhdunarodnoj nauchno-prakticheskoj konferencii studentov, aspirantov i molodyh uchjonyh, Omsk, 08–09 fevralja 2018 goda [Fundamental and applied research of young scientists: proceedings of the II International Scientific and Practical Conference of Students, Postgraduates and Young Scientists, Omsk, 08-09 February 2018]  Omsk: Sibirskij gosudarstvennyj avtomobil'no-dorozhnyj universitet (SibADI).  Рр. 185–188. (In Russ.).
  • 2. Gres, R. A. (2016) Klassifikacija turisticheskih marshrutov [Classification of tourist routes] // Problems of Science.  No. 4 (46).  Рр. 25–32.
  • 3. Kruzhalin, V. I. (2014) Teoretiko-metodologicheskie podhody k turistsko-rekreacionnomu proektirovaniju [Theoretical and methodological approaches to tourist and recreational design] // Teorija i praktika turizma [Theory and practice of tourism]. Vol. 139 iz Voprosy geografii. – M: Izdatel'skij dom Kodeks,  Рр. 100–122.
  • 4. Loginov, A. V., Smirnov, D. V. (2017) Sravnitel'naja harakteristika vidov aktivnogo peshehodnogo turizma [Comparative characteristics of types of active hiking] // Vestnik akademii detsko-junosheskogo turizma i kraevedenija [Bulletin of the academy of children's and youth tourism and local history].  No. 4.  С. 90–98.
  • 5. Malykh, E. S., Veprikova, A. A., Kolesova, Yu. A. (2022) Ocenka turistsko-rekreacionnogo potenciala Kirovo-Chepeckogo rajona Kirovskoj oblasti dlja proektirovanija marshruta vyhodnogo dnja [Assessment of the tourist and recreational potential of the Kirovo-Chepetsky district of the Kirov region for designing a weekend route] // Vestnik Tverskogo gosudarstvennogo universiteta. Serija: Geografija i geojekologija [Bulletin of Tver State University. Series: Geography and Geoecology]. Vol. 3(39), 94–104. doi: 10.26456/2226-7719-2022-3-94-104.
  • 6. Shabalina, N. V., Kashirina, E. S., Lukyanenko, E. A. (2021) Glava 5. Turistskie marshruty. Turistskie marshruty Krymskogo poluostrova [Chapter 5. Tourist routes. Tourist routes of the Crimean Peninsula] // Organizacija turistskoj dejatel'nosti [Organization of tourist activities]. – Majkop: OOO «Jelektronnye izdatel'skie tehnologii».  Рр. 95–122.
  • 7. Cenamor, I., de la Rosa, T., Núñez, S., Borrajo, D. (2017) Planning for tourism routes using social networks [Klassifikatsiya turisticheskikh marshrutov] // Expert Systems with Applications [Problemy Nauki].  Vol. 69.  Рp. 1–9. doi: 10.1016/j.eswa.2016.10.030.
  • 8. Denstadli, J. M., Jacobsen, J., Kr, S. (2011) The long and winding roads: Perceived quality of scenic tourism routes [Teoretiko-metodologicheskie podkhody k turistsko-rekreatsionnomu proektirovaniyu] // Tourism Management [Teoriya i praktika turizma].  No. 32(4).  Рр. 780–789. doi: 10.1016/j.tourman.2010.06.014.
  • 9. Kanwal, Sh., Rasheed, M. I., Pitafi, A. H., Pitafi, A., Ren, M. (2020) Road and transport infrastructure development and community support for tourism: The role of perceived benefits, and community satisfaction [Otsenka turistsko-rekreatsionnogo potentsiala Kirovo-Chepetskogo rayona Kirovskoy oblasti dlya proektirovaniya marshruta vykhodnogo dnya] // Tourism Management [Vestnik Tverskogo gosudarstvennogo universiteta. Seriya: Geografiya i geoekologiya].  Рр. 90–98. doi: 10.1016/j.tourman.2019.104014.
  • 10. Mundet, L., Marin, J., Figueroa, A. (2022) How to develop a road cycling tourism destination. Girona as a case study. In Journal of Outdoor Recreation and Tourism.  Vol. 39. doi: 10.1016/j.jort.2022.100566.
  • 11. Ngeoywijit, S., Kruasom, T., Ugsornwongand, K., Pitakaso, R., Sirirak, W., Nanthasamroeng, N., Kotmongkol, Th., Srichok, Th., Khonjun, S., Kaewta, Ch. (2022) Open innovations for tourism logistics design: A case study of a smart bus route design for the medical tourist in the city of Greater Mekong subregion. In Journal of open innovation: Technology, market, and complexity.  Vol. 8(4). doi: 10.3390/joitmc8040173.
  • 12. Takano, T., Morita, H., Hayashi, Y. (2025) Road improvement effectiveness from a quality of life (QOL). In Perspective, transportation research Procedia.  Vol. 82.  Pp. 1687–1699. doi: 10.1016/j.trpro.2024.12.149.
  • 13. Uwaisy, M. A., Baizal, Z. K. A., Reditya, M. Y. (2019) Recommendation of scheduling tourism routes using Tabu search method (case study bandung). In Procedia Computer Science.  Vol. 157.  Pp. 150–159. doi: 10.1016/j.procs.2019.08.152.
  • 14. Zheng W., Ji H., Lin C., Wang W., Yu B. (2020) Using a heuristic approach to design personalized urban tourism itineraries with hotel selection. In Tourism Management.  vol. 76. doi: 10.1016/j.tourman.2019.103956.
  • 15. Zheng, W., Liao, Z. (2019) Using a heuristic approach to design personalized tour routes for heterogeneous tourist groups. In Tourism Management.  Vol. 72.  Pp. 313–325. doi: 10.1016/j.tourman.2018.12.013.