• Home
  • Historical notes
  • Articles & Issues
    • Current
    • All Issues
  • About
    • Aims and Scope
    • Editorial Board
    • Indexing
    • Sources of Financing
  • For Authors
    • Submission
    • Terms of Publication
    • Formatting Guidelines
    • Peer Review Process
    • Article Processing Charges
    • License Agreement
  • Ethics & Policies
    • Publication Ethics
    • Conflict of Interest
    • Open Access Policy
    • Archiving
    • Complaints Policy
    • Privacy Statement
    • Corrections and Retractions
    • Anti-plagiarism Policy
    • Generative AI Policy
  • Contacts
en English
  • Українська Українська

UkrainianProfessional Education

  • Submit an article
  • Home
  • Articles & Issues
    • Current
    • All Issues
  • About
    • Aims and Scope
    • Editorial Board
    • Indexing
    • Sources of Financing
  • For Authors
    • Submission
    • Terms of Publication
    • Formatting Guidelines
    • Peer Review Process
    • Article Processing Charges
    • License Agreement
  • Ethics & Policies
    • Publication Ethics
    • Conflict of Interest
    • Open Access Policy
    • Archiving
    • Complaints Policy
    • Privacy Statement
    • Corrections and Retractions
    • Anti-plagiarism Policy
    • Generative AI Policy
  • Search
  • Contacts

Article

  • Read article
  • Download article

Received 26.06.2023

Revised 22.11.2023

Accepted 28.12.2023

Retrieved from Iss. 114, P. 2, 2023

Pages 133 -142

  • 112 Views

Suggested citation

Lyashenko, D. (2023). THEORY AND METHODS OF GEOINFORMATION MODELING OF TRANSPORT NETWORKS IN THE CONDITIONS OF THE RUSSIAN-UKRAINIAN WAR. Automobile Roads and Road Construction, (114.2), 133-142. https://doi.org/10.33744/0365-8171-2023-114.2-133-142

THEORY AND METHODS OF GEOINFORMATION MODELING OF TRANSPORT NETWORKS IN THE CONDITIONS OF THE RUSSIAN-UKRAINIAN WAR

Dmytro Lyashenko

Abstract

The paper explores the main methods of geographic information modeling of transportation networks. Studying the experience of predecessors has allowed identifying contemporary features shaping the development of transport, including increased demand for transportation, cost reduction, expansion of transport infrastructure, and safety requirements. It is determined that geographic information systems enable the application of optimization models to assess the actual state and efficiency of transport networks by comparing the time and cost expenditures for transporting a unit mass of cargo. The study highlights significant financial costs for transporting goods in the conditions of the Russian-Ukrainian war. The paper proposes key directions for optimizing the road network of Ukraine with the aim of enhancing transport efficiency

Keywords:

transport networks, automobile roads, geospatial data, national infrastructure of geospatial data, relief, geodetic methods, network analysis, optimization models

References

  1. Hameliak, I.P., & Dmytrychenko, A.M. (2018). On the necessity of developing a network of high-speed highways in Ukraine. Modern Technologies, Materials and Structures in Construction, 2, 107-121.
  2. Huang, B., Cheu, R.L., & Liew, Y.S. (2004). GIS and genetic algorithms for HAZMAT route planning with security considerations. International Journal of Geographical Information Science, 18(8), 769-787.
  3. Center for International Earth Science Information Network - CIESIN - Columbia University, & Information Technology Outreach Services - ITOS - University of Georgia. (2013). Global Roads Open Access Data Set, Version 1 (gROADSv1). Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). doi: 10.7927/H4VD6WCT.
  4. Kim, H.Y., et al. (2014). Optimizing high-speed rail routes using a Spatial Decision Support System (SDSS): The Texas Urban Triangle (TUT) case. Journal of Transport Geography, 34, 194-201.
  5. Lovelace, R. (2021). Integrating geographic analysis in transport planning. Retrieved from https://eprints.whiterose.ac.uk/153872/.
  6. NASA Socioeconomic Data and Applications Center (SEDAC). (n.d.). Retrieved from https://www.data4sdgs.org/resources/nasas-socioeconomic-data-and-applications-center.
  7. Snorrason, B.G. (2020). Optimizing transportation of forest seedlings for the Icelandic Forest Service. (Doctoral dissertation).
  8. Tomlinson, R.F. (2011). Thinking about GIS: Geographic information system planning for managers (4th ed.). Redlands, CA: Esri Press.
  9. Rodrigue, J.-P. (2020). The geography of transport systems. New York, NY: Routledge.
  10. U.S. Department of Transportation. (2022). Strategic plan: Fiscal year 2022-2026. Washington, DC: U.S. Department of Transportation.
Share
Facebook
Twitter
LinkedIn
Email
Telegram
Viber
WhatsApp

https://doi.org/10.33744/0365-8171-2023-114.2-133-142

Address
01010, Ukraine, Kyiv,
1, M. Omelianovycha-Pavlenka Str.


Email
ntu@arrcjournal.org

Main information
  • Aims and Scope
  • Indexing
  • Terms of Publication
  • Editorial Board
  • Publication Ethics
Additional information
  • Complaints Policy
  • Peer Review Process
  • Open Access Policy
  • Anti-plagiarism Policy
  • Generative AI Policy
  • Archiving