Efficiency; Road traffic analysis; Traffic flow; Traffic index; Traffic volume; Transportation planning; Urban mobility; Urban transport; Geography, Planning and Development; Renewable Energy, Sustainability and the Environment; Environmental Science (miscellaneous); Energy Engineering and Power Technology; Management, Monitoring, Policy and Law; traffic efficiency
Abstract :
[en] The integral indexes are used to measure trends and monitor progress in transportation complex development. The selection of the indicators, included in indexes, is related to the data availability (depends on existence of a specific data sources). The aim of this paper is to provide a development methodology of Integral Index of Traffic Planning (Integral TP Index), which is based on the primary data on vehicle speeds, traffic volumes, number of accidents, etc., for Moscow and allows for basic assessment of transport situation in Russian's capital. The proposed methodology is a combination of economic and urban approaches to analyze the key indicators of transportation planning efficiency in the metropolis. Four groups of indicators are considered: traffic management efficiency, traffic management quality, transit efficiency and road safety. The integral index considers traffic volumes for various roads and their contributions to the overall transportation system. Division of streets by type (highways, rings, center) makes it possible to take into account specifications the radial-ring streets structure of Moscow. The constructed index is applied to the analysis of Moscow transportation statistics in 2012-2017 provided by the Moscow Traffic Management Center, Yandex and TomTom.
Disciplines :
Engineering, computing & technology: Multidisciplinary, general & others
Author, co-author :
PETROVA, Tatiana ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SEDAN ; Faculty of Physics, Lomonosov Moscow State University, Moscow, Russian Federation
Grunin, Andrey; Faculty of Physics, Lomonosov Moscow State University, Moscow, Russian Federation
Shakhbazyan, Arthur; Moscow Traffic Management Center, Moscow, Russian Federation
External co-authors :
yes
Language :
English
Title :
Integral index of traffic planning: Case-study of Moscow City's transportation system
Funding: This research was supported by Moscow Department for Transport and Road Infrastructure Development (agreement number 101-DT-RDTI-C) and as part of research program of MSU Center for Storage and Analysis of Big Data.
Traffic Jams in Moscow: 2013-2017. (In Russian). Available online: https://yandex.ru/company/researches/ 2017/moscow_traffic_2017 (accessed on 14 July 2020).
Litman, T. Well Measured: Developing Indicators for Sustainable and Livable Transport Planning. Victoria Transport Policy Institute: Victoria, BC, Canada, 2019. Available online: https://www.vtpi.org/wellmeas.pdf (accessed on 14 July 2020).
United States Department of Transportation/Transportation Services Indexes. Available online: https: //www.transtats.bts.gov/OSEA/TSI (accessed on 14 July 2020).
The World Bank/LPI Home. Available online: https://lpi.worldbank.org (accessed on 14 July 2020).
Agility Emerging Markets Logistics Index 2019. Available online: https://www.agility.com/insights/emerging- markets-logistics-index/overview/#:~():text=The%20survey%20of%20more%20than,conditions%2C% 20infrastructure%20and%20transport%20connections./ (accessed on 14 July 2020).
Urban Mobility Index. Available online: https://urbanmobilityindex.here.com (accessed on 14 July 2020).
The Siemens' Green Cities Index. Available online: https://apps.espon.eu/etms/index.php/this-big-city/qr/ 534-siemens-green-cities-index (accessed on 14 July 2020).
Overall Global Mobility Ranking. Available online: https://www.arcadis.com/en/united-states/our- perspectives/sustainable-cities-mobility-index-2017/cities/?tf=tab-overall&sf=all&r=all&c=all] (accessed on 14 July 2020).
The Deloitte City Mobility Index. Available online: https://www2.deloitte.com/us/en/insights/focus/future- of-mobility/deloitte-urban-mobility-index-for-cities.html (accessed on 14 July 2020).
TomTom Traffic Index. Available online: https://www.tomtom.com/en_gb/traffic-index/ (accessed on 14 July 2020).
INRIX. Available online: http://inrix.com (accessed on 14 July 2020).
Travel Time Index. Available online: https://www.bts.gov/content/travel-time-index (accessed on 14 July 2020).
Casey, J.; Norwood, J.L. (Eds.) Key Transportation Indicators: Summary of a Workshop; National Academy Press: Washington, DC, USA, 2002; p. 41. Available online: http://www.nap.edu/catalog/10404 (accessed on 14 July 2020).
Imran, M.; Low, N. Time to Change the Old Paradigm: Promoting Sustainable Urban Transport. World Transp. Policy Pract. 2003, 9, 32-39.
Barker, W. Can a Sustainable Transportation System Be Developed for San Antonio, Texas. Transp. Res. Rec. J. Transp. Res. Board. 2005, 1924, 120-128.
Nicolas, J.P.; Pochet, P.; Poimboeuf, H. Towards sustainable mobility indicators: Application to the Lyons conurbation. Transp. Policy 2003, 10, 197-208.
Kaparias, I.; Eden, N.; Tsakarestos, A.; Gal-Tzur, A.; Gerstenberger, M.; Hoadley, S.; Lefebvre, P.; LeDoux, J.; Bell, M. Development and Application of an Evaluation Framework for Urban Traffic Management and Intelligent Transport Systems. Procedia Soc. Behav. Sci. 2012, 48, 3102-3112.
Kaparias, I.; Bell, M.G.; Gal-Tzur, A.; Komar, O.; Prato, C.; Tartakovsky, L.; Aronov, B.; Zvirin, Y.; Gerstenberger, M.; Tsakarestos, A.; et al. Key Performance Indicators for Traffic Management and Intelligent Transport Systems Deliverable. 2011. Available online: https://pdfs.semanticscholar.org/0fe7/3b4a8b1939fc90c88c693b6a2905b0e939b1.pdf?_ga=2.220451547. 293995317.1594762412-7263041.1592134505 (accessed on 14 July 2020).
Hoogendoorn, S.; Knoop, V. Traffic flow theory and modelling. In Transport System and Transport Policy, 1st ed.; van Wee, B., Annema, J.A., Banister, D., Eds.; Edward Elgar Publishing: Cheltenham, UK, 2013; pp. 125-159.
Aarts, L.; Schagen, I.V. Driving Speed and the Risk of Road Crashes a Review. Accid. Anal. Prev. 2006, 38, 215-224.
Rogdriguez, R.J. Speed. Speed Dispersion, and the Highway Fatality Rate. South. Econ. J. 1990, 57, 349-357.
Yandex. Probki. Available online: https://yandex.ru/maps/213/moscow/?l=trf%2Ctrfe&ll=37.622504%2C55. 753215&z=10 (accessed on 14 July 2020).
He, F.F.; Yan, X.D.; Liu, Y.; Ma, L. A Traffic Congestion Assessment Method for Urban Road Networks Based on Speed Performance Index. Procedia Eng. 2016, 137, 425-433.
Su, F.; Dong, H.; Jia, L.; Sun, X. On urban road traffic state evaluation index system and method. Mod. Phys. Lett. B 2017, 31, 1650428.
Hansen, W.G. How Accessibility Shapes Land Use. J. Am. Inst. Plan. 1959, 25, 73-76.
Taylor, M.A. Critical transport infrastructure in Urban areas: Impacts of traffic incidents assessed using accessibility-based network vulnerability analysis. Growth Chang. 2008, 39, 593-616.
Taylor, M.A. Dense network traffic models, travel time reliability and traffic management II: Application to reliability. J. Adv. Transp. 1999, 33, 235-251.
Schmidt, A.J. The Architecture and Planning of Classical Moscow: A Cultural History, 1st ed.; American Philosophical Society: Philadelphia, PA, USA, 1989; p. 218.
Dimitrijević, B.; Simic, V.; Radonjic, V.; Kostic-Ljubisavljevic, A. The Delphi Method as a Research Tool: An Application in Transportation and Logistics Systems Evaluations. In Proceedings of the 6th International Quality Conference, Center for Quality, Faculty of Engineering, University of Kragujevac, Kragujevac, Serbia, 8 June 2012.
Official Site of the Mayor of Moscow/My Street. (In Russian). Available online: https://www.mos.ru/city/ projects/mystreet (accessed on 14 July 2020).