REVIEW AND COMPARATIVE ANALYSIS OF MODERN METHODS FOR EVALUATING THE EFFICIENCY OF URBAN PASSENGER TRANSPORT OPERATIONS

Burtsev M.

doi:doi:10.58168/MSTT2025_62-65

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REVIEW AND COMPARATIVE ANALYSIS OF MODERN METHODS FOR EVALUATING THE EFFICIENCY OF URBAN PASSENGER TRANSPORT OPERATIONS

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REVIEW AND COMPARATIVE ANALYSIS OF MODERN METHODS FOR EVALUATING THE EFFICIENCY OF URBAN PASSENGER TRANSPORT OPERATIONS

Section: SECTION 2. INTELLIGENT TRANSPORT SYSTEMS, ARTIFICIAL INTELLIGENCE IN TRANSPORT

Proceedings: MATERIALS OF THE INTERNATIONAL SCIENTIFIC AND PRACTICAL CONFERENCE, DEDICATED TO THE 95TH ANNIVERSARY OF THE VGLTU NAMED AFTER G.F. MOROZOV : «MODERN SYSTEMS AND TECHNOLOGIES IN TRANSPORT: PROBLEMS AND PROSPECTS»

UDC 656.1 UDC 004.9

Burtsev M. ¹

Author and publication information

Authors:

1. Saint-Petersburg State university of Architecture and Civil engineering
Russian Federation

Type:

Сonference article

DOI:

https://doi.org/10.58168/MSTT2025_62-65

Published:

15.08.2025

Subject area:

UDC 656.1
UDC 004.9

Language:

Russian

Keywords:

urban passenger transport, quality of transport service, intelligent transport system, passenger information, payment solutions, digital twin, autonomous transport

Abstract and keywords

Abstract (English):
This article examines the application of modern methodologies for evaluating the efficiency of urban passenger transport operations and the quality of service provided to the population, using examples from major metropolitan areas in Russia, Western Europe, and China. A comparative analysis of monitoring, management, and digital technology implementation approaches in these regions is conducted.

Keywords:
urban passenger transport, quality of transport service, intelligent transport system, passenger information, payment solutions, digital twin, autonomous transport

References

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2. Avtomatizirovannaya sistema «Regional'nyy centr upravleniya transportom» (AS RCUT). – URL: https://iac.spb.ru/proekty-i-sistemy/detail.php/?ELEMENT_ID=210 (data obrascheniya: 10.04.2025).

3. Avtomatizirovannaya sistema upravleniya gorodskim i prigorodnym transportom obschego pol'zovaniya (ASU GPT). – URL: https://iac.spb.ru/proekty-i-sistemy/detail.php/?ELEMENT_ID=217 (data obrascheniya: 10.04.2025).

4. Rossiyskaya Federaciya. Mintrans. Rasporyazhenie ot 31.01.2017 № NA-19-r (red. ot 08.10.2024) «Ob utverzhdenii social'nogo standarta transportnogo obsluzhivaniya naseleniya pri osuschestvlenii perevozok passazhirov i bagazha avtomobil'nym transportom i gorodskim nazemnym elektricheskim transportom» // Oficial'nyy internet-portal pravovoy informacii. – URL: http://publication.pravo.gov.ru (data obrascheniya: 10.04.2025).

5. European Standard EN 13816:2002. Transportation – Logistics and services – Public passenger transport – Service quality definition, targeting and measurement.

6. Lin, J., Wang, H., Huang, W., & Zhang, Y. Big data analytics in transportation: A systematic review // International Journal of Production Research. – 2021. – Vol. 59, No. 14. – P. 4326–4344. – DOI: https://doi.org/10.1080/00207543.2020.1865580

7. Ministry of Transport of the People's Republic of China. Urban Public Transport Evaluation and Development Guidelines. – Beijing, 2020.

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