Method of comparative assessment of urban agglomeration transportation connectivity and ways to improve it in the context of sustainable development goals
https://doi.org/10.35854/1998-1627-2023-11-1382-1393
Abstract
Aim. To conduct a comparative assessment of the capacity of bridge and tunnel crossings across the Neva River in St. Petersburg and across the Thames in London, and to present proposals for improving transport connectivity in large cities on the basis of its results.
Objectives. To determine the parameters of bridge and tunnel crossings (number, length, number of traffic lanes, traffic light regulation, speed limits, etc.); to calculate the capacity of bridge and tunnel crossings for public and private transport; to compare the results obtained; to present specific proposals and conclusions.
Methods. The method of modeling channels and interaction constraints between blocks (subgraphs, clusters, regions, etc.) separated by some obstacle, in this case — a river, is used. The characteristics of such channels are compared, in this case — the capacity of bridges and tunnels. Throughput capacity for motor transport is calculated according to SP 396.1325800.2018 “Streets and roads of settlements. Rules of urban planning design”, for public transport — by multiplying the number of trips by the passenger capacity of vehicles. The cost of construction of pedestrian bridges is calculated according to the standards specified in the order of the Ministry of Construction of the Russian Federation № 113, with the application of an increasing coefficient.
Results. Calculations have shown that the total capacity of bridges over the Neva River in St. Petersburg exceeds the same indicator for London. At the same time, the difference in population and status of the city suggests that the load on London’s transportation infrastructure should be higher. Three possible explanations for this finding are given, one of which is the availability of alternative infrastructure in London to provide transportation connectivity between the banks of the Thames, in particular pedestrian bridges. Four sites for the construction of such bridges in St. Petersburg are suggested. The calculations indicate that the socio-economic effect will allow to recoup the cost of creating the bridges within 50 years, if each bridge will have 17.5 thousand crossings per day. In addition, a new formulation of the definition of transportation connectivity is proposed.
Conclusions. The existing bridge infrastructure of St. Petersburg exceeds the London bridge infrastructure in terms of capacity for passenger cars. At the same time, the London transport system serves a much larger agglomeration and therefore seems more efficient to the author of the article. The author sees the reasons for this as the spread of dedicated lanes for public transport in London, insufficient use of the potential of the streetcar in St. Petersburg and the spread of alternative ways of crossing the Thames in London. Of these alternatives, the construction of bicycle-pedestrian bridges seems to be the best for St. Petersburg. Eight additional conclusions, observations and recommendations regarding traffic management and public transport are presented.
About the Author
G. I. BukreevRussian Federation
Grigoriy I. Bukreev, postgraduate student at the Department of Environmental Economics
1 Leninskie Gory, Moscow 119991
Competing Interests:
the author declares no conflict of interest related to the publication of this article.
References
1. Goncharova A.R., Stoyanova I.A. Strategic significance of port infrastructure in social and economic development of the Russian Federation and its regions. Ekonomika promyshlennosti = Russian Journal of Industrial Economics. 2021;14(2):164-171. (In Russ.). DOI: 10.17073/2072-1633-2021-2-164-171
2. Kolomak E.A. Spatial development of Russia in XXI century. Prostranstvennaya ekonomika = Spatial Economics. 2019;15(4):85-106. (In Russ.). DOI: 10.14530/se.2019.4.085-106
3. Romanova E., Vinogradova O., Frizina I. Social and economic space compression in border areas: The case of the Northwestern Federal District. Baltic Region. 2015;(3):28-46. DOI: 10.5922/2074-9848-2015-3-3 (In Russ.: Baltiiskii region. 2015;(3):38-61. DOI: 10.5922/2074-9848-2015-3-3).
4. Blanutsa V.I. Territorial structure of digital economy of Russia: Preliminary delimitation of ‘smart’ urban agglomerations an regions. Prostranstvennaya ekonomika = Spatial Economics. 2018;(2):17-35. (In Russ.). DOI: 10.14530/se.2018.2.017-035
5. Voroshilov N.V., Gubanova E.S. Territorial differentiation and mechanism for its reduction. Economic and Social Changes: Facts, Trends, Forecast. 2018;11(6):57-72. DOI: 10.15838/esc.2018.6.60.4 (In Russ.: Ekonomicheskie i sotsial’nye peremeny: fakty, tendentsii, prognoz. 2018;11(6):57-72. DOI: 10.15838/esc.2018.6.60.4).
6. Kolomak E.A. Estimating spatial coherence of economic activity in Russian regions. Region: ekonomika i sotsiologiya = Region: Economics and Sociology. 2019;(4):55-72. (In Russ.). DOI: 10.15372/REG20190403
7. Kolesnikov N.G. Method of territorial transport connectivity assessment on the example of all-season road network of the Republic of Sakha (Yakutia). Ekonomika Vostoka Rossii = Economics of Russian East. 2017;(1):102-106. (In Russ.). DOI: 10.13140/RG.2.2.15131.16161
8. Transport for a world city. London: National Infrastructure Commission. 2016. 71 p. URL: https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/506633/Transport_for_a_world_city_-_100316.pdf (accessed on 17.05.2023).
9. Plan your journey. National Rail. URL: https://www.nationalrail.co.uk/ (accessed on 17.05.2023).
10. Artamonov R.E., Datiev S.B., Zhulin A.B. et al. Assessment of the socio-economic effect of publishing open data using the example of Moscow public transport data. Moscow: HSE Publ.; 2015. 92 p. (In Russ.).
11. Population statistics in maps and charts for cities, agglomerations and administrative divisions of all countries in the world. City Population. URL: http://citypopulation.de/ (accessed on 16.05.2023).
12. Starshov E.D., Sokolova E.V. Factors forming citizens’ transportation behavior: The case of St. Petersburg. Ekonomika Severo-Zapada: problemy i perspektivy razvitiya = Economy of the North-West: Issues and Prospects of Development. 2021;(2):123-135. (In Russ.). DOI: 10.52897/2411-4588-2021-2-123-135
13. On approval of consolidated construction price standards. CPS 81-02-09-2022. Collection No. 09. Bridges and overpasses. Order of the Ministry of Construction of Russia dated February 18, 2022 No. 113/pr. Ministry of Construction of Russia. URL: https://minstroyrf.gov.ru/docs/140977/ (accessed on 20.06.2023). (In Russ.).
14. International approaches to carbon pricing. Jan. 2021. Ministry of Economic Development of the Russian Federation. URL: https://www.economy.gov.ru/material/file/c13068c-695b51eb60ba8cb2006dd81c1/13777562.pdf (accessed on 08.09.2023). (In Russ.).
Review
For citations:
Bukreev G.I. Method of comparative assessment of urban agglomeration transportation connectivity and ways to improve it in the context of sustainable development goals. Economics and Management. 2023;29(11):1382-1393. (In Russ.) https://doi.org/10.35854/1998-1627-2023-11-1382-1393