IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v9y2021i21p2812-d673079.html
   My bibliography  Save this article

Theory and Practice of Quantitative Assessment of System Harmonicity: Case of Road Safety in Russia before and during the COVID-19 Epidemic

Author

Listed:
  • Artur I. Petrov

    (Department of Road Transport Operation, The Institute of Transport, Industrial University of Tyumen, 625027 Tyumen, Russia)

  • Victor I. Kolesov

    (Department of Road Transport Operation, The Institute of Transport, Industrial University of Tyumen, 625027 Tyumen, Russia)

  • Daria A. Petrova

    (The Institute of Natural Sciences and Mathematics, Ural Federal University named after the first President of Russia B.N. Yeltsin, 620002 Ekaterinburg, Russia)

Abstract

People have had an interest in harmony issues for thousands of years; however, there is still no elaborated system of views on these questions. Ancient Greeks understood harmony as an agreement of opposites. A surge of interest in the study of the harmonic aspects of being occurred in the twentieth century due to the development of systems science, particularly regarding synergetic system effects. At the same time, there are still relatively few applications of synergetics because of the absence of an accurate methodology for the identification of system harmonicity. The aim of this research is to develop the methodology for the quantitative assessment of system harmonicity by considering a practical example: the quantitative assessment of the harmonicity of the road safety provision system (RSS) and its dynamics during the last 15 years (2006–2020). In addition, the impact of the COVID restrictions on population mobility in Russia in 2020, on the change in the harmonicity of the road safety provision system, is considered. During the research it was established that the quality factor g of the Russian road safety provision system changed from g 2006 = 1.9565 to g 2020 = 2.4646, which promoted the decline of the relative entropy of the Russian road safety provision system from H n RSS 2006 = 0.8623 to H n RSS 2020 = 0.7553. The deep reason for that change was the modification of relation between “weights” or the significance of the contribution of different elements of the cause-and-effect chain in the formation of the factual level of the road accident rate in Russia in the last 15 years. The main conclusion of this research is that the harmonicity of the Russian road safety provision system, assessed by the normalized functional general utility GU n , has been increased, and it has already exceeded the level of harmonious reference systems GU n = 0.618. In fact, the normalized functional general utility GU n of the Russian road safety provision system increased from GU n RSS 2006 = 0.615 to GU n RSS 2020 = 0.652 (by 6.0%), from 2006 to 2020. Simultaneously, the share of the normalized used resource X n declined, allowing a conclusion to be drawn about a significant improvement in the balance “efficiency-quality” of the Russian road safety provision system. The COVID lockdown played a positive role in this process. Harmonicity of the Russian road safety provision system, assessed by the normalized general utility GU n RSS , increased by 0.46% from 2019 to 2020.

Suggested Citation

  • Artur I. Petrov & Victor I. Kolesov & Daria A. Petrova, 2021. "Theory and Practice of Quantitative Assessment of System Harmonicity: Case of Road Safety in Russia before and during the COVID-19 Epidemic," Mathematics, MDPI, vol. 9(21), pages 1-33, November.
  • Handle: RePEc:gam:jmathe:v:9:y:2021:i:21:p:2812-:d:673079
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/9/21/2812/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/9/21/2812/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yu Qin, 2016. "China's Transport Infrastructure Investment: Past, Present, and Future," Asian Economic Policy Review, Japan Center for Economic Research, vol. 11(2), pages 199-217, July.
    2. Dereli, Mehmet Ali & Erdogan, Saffet, 2017. "A new model for determining the traffic accident black spots using GIS-aided spatial statistical methods," Transportation Research Part A: Policy and Practice, Elsevier, vol. 103(C), pages 106-117.
    3. Alexander Kolik & Artur Radziwill & Natalia Turdyeva, 2015. "Improving Transport Infrastructure in Russia," OECD Economics Department Working Papers 1193, OECD Publishing.
    4. Ling Shen & Jian Lu & Man Long & Tingjun Chen, 2019. "Identification of Accident Blackspots on Rural Roads Using Grid Clustering and Principal Component Clustering," Mathematical Problems in Engineering, Hindawi, vol. 2019, pages 1-12, January.
    5. Tengfei Yuan & Xiaoqing Zeng & Tongguang Shi, 2020. "Identifying Urban Road Black Spots with a Novel Method Based on the Firefly Clustering Algorithm and a Geographic Information System," Sustainability, MDPI, vol. 12(5), pages 1-15, March.
    6. Evans, Peter, 1996. "Government action, social capital and development: Reviewing the evidence on synergy," World Development, Elsevier, vol. 24(6), pages 1119-1132, June.
    7. Giannopoulos, G. A., 2004. "The application of information and communication technologies in transport," European Journal of Operational Research, Elsevier, vol. 152(2), pages 302-320, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Levien, Michael, 2015. "Social Capital as Obstacle to Development: Brokering Land, Norms, and Trust in Rural India," World Development, Elsevier, vol. 74(C), pages 77-92.
    2. Gal-Tzur, Ayelet & Grant-Muller, Susan M. & Kuflik, Tsvi & Minkov, Einat & Nocera, Silvio & Shoor, Itay, 2014. "The potential of social media in delivering transport policy goals," Transport Policy, Elsevier, vol. 32(C), pages 115-123.
    3. Caroline Patsias & Anne Latendresse & Laurence Bherer, 2013. "Participatory Democracy, Decentralization and Local Governance: the Montreal Participatory Budget in the light of ‘Empowered Participatory Governance’," International Journal of Urban and Regional Research, Wiley Blackwell, vol. 37(6), pages 2214-2230, November.
    4. Tamilina, Larysa, 2012. "Characteristics of social policies and social trust," MPRA Paper 96517, University Library of Munich, Germany.
    5. Wouter Groot & Haranath Tadepally, 2008. "Community action for environmental restoration: a case study on collective social capital in India," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 10(4), pages 519-536, August.
    6. A. Arrighetti & G. Seravalli & G. Wolleb, 2001. "Social Capital, Institutions and Collective Action Between Firms," Economics Department Working Papers 2001-EP08, Department of Economics, Parma University (Italy).
    7. Marcus Wiens & Miriam Klein & Frank Schultmann, 2022. "Border Region Attachment: An Empirical Study on Regional Social Capital in the French–German Border Area [Social Capital, Collective Action, and Adaptation to Climate Change]," CESifo Economic Studies, CESifo Group, vol. 68(4), pages 362-390.
    8. Bouquet, Emmanuelle, 2009. "State-Led Land Reform and Local Institutional Change: Land Titles, Land Markets and Tenure Security in Mexican Communities," World Development, Elsevier, vol. 37(8), pages 1390-1399, August.
    9. Hongqin Tang & Jianping Zhu & Nan Li & Weipeng Wu, 2024. "Impact of Enterprise Supply Chain Digitalization on Cost of Debt: A Four-Flows Perspective Analysis Using Explainable Machine Learning Methodology," Sustainability, MDPI, vol. 16(19), pages 1-27, October.
    10. Mayka, Lindsay & Abbott, Jared, 2023. "Varieties of participatory institutions and interest intermediation," World Development, Elsevier, vol. 171(C).
    11. Daniel Edevbaro, 1997. "Promoting Education within the Context of a Neo-Patrimonial State: The Case of Nigeria," WIDER Working Paper Series wp-1997-123, World Institute for Development Economic Research (UNU-WIDER).
    12. Brinkerhoff, Derick W., 2000. "Democratic Governance and Sectoral Policy Reform: Tracing Linkages and Exploring Synergies," World Development, Elsevier, vol. 28(4), pages 601-615, April.
    13. Sanjay Gupta & Kushagra Sinha, 2022. "Assessing the Factors Impacting Transport Usage of Mobility App Users in the National Capital Territory of Delhi, India," Sustainability, MDPI, vol. 14(21), pages 1-20, October.
    14. Monica Das Gupta, 1999. "Liberte, Egalite, Fraternite: Exploring the role of governance in fertility decline," Journal of Development Studies, Taylor & Francis Journals, vol. 35(5), pages 1-25.
    15. Robison, Lindon J. & Siles, Marcelo E., 1997. "Social Capital and Household Income Distributions in the United States: 1980, 1990," Agricultural Economic Report Series 201434, Michigan State University, Department of Agricultural, Food, and Resource Economics.
    16. Tariq Shah & Syed Akhter Hussain Shah & Eatzaz Ahmed, 2010. "Algebraic Representation of Social Capital Matrix," Microeconomics Working Papers 22724, East Asian Bureau of Economic Research.
    17. van Staveren, I.P., 2002. "Social capital :What is in it for feminist economics?," ISS Working Papers - General Series 19126, International Institute of Social Studies of Erasmus University Rotterdam (ISS), The Hague.
    18. Gila Menahem & Gideon Doron & David Itzhak Haim, 2011. "Bonding and Bridging Associational Social Capital and the Financial Performance of Local Authorities in Israel," Public Management Review, Taylor & Francis Journals, vol. 13(5), pages 659-681, June.
    19. Ferraz, Osni Giani & Pase, Hemerson Luiz & Brandao, Sheila & Balcewicz, Luiz Carlos, 2008. "Microcrédito Rural: Análise Sobre A Modalidade Do Pronaf B," 46th Congress, July 20-23, 2008, Rio Branco, Acre, Brazil 107936, Sociedade Brasileira de Economia, Administracao e Sociologia Rural (SOBER).
    20. Mert Ersen & Ali Hakan Büyüklü & Semra Taşabat Erpolat, 2021. "Analysis of Fatal and Injury Traffic Accidents in Istanbul Sarıyer District with Spatial Statistics Methods," Sustainability, MDPI, vol. 13(19), pages 1-39, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jmathe:v:9:y:2021:i:21:p:2812-:d:673079. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.