Assessment of environmental risks of underground transport infrastructure development by BOCR method

Keywords: urban space, underground infrastructure, environmental risks, technogenic risks, system analysis

Abstract

Formulation of the problem. Solving the problems of urban transport communications, in particular the constantly growing intensity of automobile traffic in megalopolises, is one of the main directions of minimizing the environmental and man-made risks of the urban environment. Global concepts of greening large cities pay considerable attention to the possibilities of underground space to take on the functions of the most dangerous and risky surface objects and communications, since the impact of any underground object on the environment is much lower (than similar on the surface) and can be better controlled.

At the same time, planning for the development of underground transport infrastructure should be based on a systematic methodology and tools for analyzing complex systems.

Purpose. It consists in the use of system tools (BOCR method - criteria of benefits, opportunities, costs and risks) for planning underground transport infrastructure of large cities to ensure minimization of environmental and man-made risks of urban space and prioritization for the construction of road tunnels (for example, the General Plan of the Kiev city).

Methodology. A methodology and decision support toolkit for calculating the priorities of alternatives based on hierarchical and network criteria models are proposed. The modified BOCR method developed by the authors (N. Pankratova, N.I. Nedashkovskaya) was applied to assess decision alternatives taking into account benefits, costs, opportunities and risks.

Results. System models of two road tunnels, according to the General plan of the Kiev city until 2025 were developed. Assessment of the models using the BOCR method (criteria for benefits, opportunities, costs and risks) was performed. The priorities of alternatives for tunnels' routes aggregated over a network of parameters and a reasonably expedient sequence of their construction were calculated according to the criteria for reducing the environmental and man-made risks of the urbanized space.

Scientific novelty. For the first time, the target function of the system model for the development of underground infrastructure in large cities is to minimize the environmental and man-made risks of urban space. The capabilities of the modified BOCR method have been expanded and two alternative tunnel track models have been successfully tested.

Practical significance. The research methods and results provide investors, city state administrations and public organizations with an effective toolkit for assessing the priority of the construction of underground urban facilities to regulate urban development in order to improve environmental standards and the safety of life in megacities.

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Author Biographies

Nataliya Pankratova, National Technical University of Ukraine «Igor Sikorsky Kyiv Polytechnic Institute»

DSc (Engineering), Professor, Corresponding Member of NASU

Nadezhda Nedashkovskaya, National Technical University of Ukraine «Igor Sikorsky Kyiv Polytechnic Institute»

DSc (Engineering), Associate Professor

Hennadii Haiko, National Technical University of Ukraine «Igor Sikorsky Kyiv Polytechnic Institute»

DSc (Engineering), Professor

Volodymyr Biletskyi, National Technical University "Kharkiv Polytechnic Institute"

DSc (Engineering), Professor

References

World Urbanization Prospects 2018: Highlights. United Nations. New York (2019). Available at: https://population.un.org/wup/Publications/Files/WUP2018-Report.pdf

Regional report on the state of the environment of Kyiv for 2017. Kyiv City State Administration. Available at: https://mepr.gov.ua/files/docs/%D0%9C.%20%D0%9A%D0%98%D0%87%D0%92.pdf

Klymchyk, O. M., Bahmet, A. P, Dankevych, Ye. M., Matkovsʹka, S.I. (2016). Ecology of urban systems. Zhytomyr: Publisher О. О. Evenok, 460.

Korendyaseva, Ye. V. (2017). Environmental aspects of city management. Moscow: MGUU Moscow Government, 162.

Stolberg, F. V. (2000). Ecology of the city. Kyiv: Libra, 464.

Prepotenska, M. (2014). Homo Urbanus: the human phenomenon of the metropolis. Dnepropetrovsk: Ed. Serednyak T.K., 420.

Golubev, G. E. (2005). Underground urbanism and the city. Moscow: MIKHiS.

Gilbert, P. H. et al. (2013). Underground Engineering for Sustainble Urban Development. Washington: The National Academies Press.

Kartoziya, B. A. (2015). Development of underground space in large cities. New trends. Mining information and analytical bulletin (scientific and technical journal), (1), 615-629.

Hayko, H. I., Matviychuk, I. O., Biletsʹkyy, V. S., Saluha, P. (2018). Methods of forecast assessment of the favorable geological environment for the construction of underground urban planning objects. Visnyk of V. N. Karazin Kharkiv National University, Series "Geology. Geography. Ecology", (48), 39-51. https://doi.org/10.26565/2410-7360-2018-48-03

Pankratova, N. D., Hayko, H. I., Savchenko, I. O. (2020). Development of underground urban planning as a system of alternative design configurations. Kyiv: Scientific thought. 134.

Bezlyubchenko, O. S., Hordiyenko, S. M., Zavalʹnyy, O. V. (2008). Urban planning and transport. Kharkiv: KNAMG. 156.

Hayko, H. I., Bulhakov, V. P., Siveryn, M. O. (2016). The system of automobile tunnels as a way to solve transport and environmental problems of the metropolis. Bulletin of NTUU "Kyiv Polytechnic Institute". Series "Mining", (30), 196-206.

Vähäaho, I. (2014). Underground space planning in Helsinki. Journal of Rock Mechanics and Geotechnical Engineering, (6).

Sterling, R., Admiraal, H., Bobylev, N., Parker, H., Godard, J. P., Vähäaho, I., Shi, X., and Hanamura, T. (2012). Sustainability issues for underground spaces in urban areas. Proceedings of ICE. Urban Design and Planning, 165(4), 241–254.

Resin, V.I., Popkov, YU.S. (2013). Development of large cities in a transitional economy. Systems approach. Moscow: Book House "LIBROKOM", 328.

Popkov, Yu. V., Posokhin, M. V., Gutnov, A. E., Shmul'yan, B. A. (1983). System analysis and problems of urban development. Moscow: Science. 368.

Nedashkivsʹka, N. I. (2018). 18. A systematic approach to decision support based on hierarchical and network models. Systems research and information technology, (1), 7-18. https://doi.org/10.20535/SRIT.2308-8893.2018.1.01

Nedashkivska, N. I. (2013). A method of consistent pairwise comparisons for decision alternatives evaluation in terms of a qualitative criterion. System research and information technologies, (4), 67–79.

Pankratova, N. D., Nedashkovskaya, N. I. (2018). Evaluation of Ecology Projects for Black Sea Odessa Region on Basis of a Network BOCR Criteria Model. IEEE First International Conference on System Analysis & Intelligent Computing (SAIC), October 2018. https://doi.org/10.1109/SAIC.2018.8516900

Pankratova, N. D., Nedashkovskaya, N. I. (2016). Estimation of Consistency of Fuzzy Pairwise Comparison Matrices using a Defuzzification Method. V. A. Sadovnichiy and M. Z. Zgurovsky (eds.). Advances in Dynamical Systems and Control, Studies in Systems, Decision and Control, (69), 375-386. https://doi.org/10.1007/978-3-319-40673-2_20.

Nedashkovskaya, N. I. (2016). Stability of local weights of decision alternatives on basis of pairwise comparison method. System research and information technologies, (4), 14-22. https://doi.org/10.20535/SRIT.2308-8893.2016.4.02

Nesticò, A., Elia, C., Naddeo, V. (2020). Sustainability of urban regeneration projects: Novel selection model based on analytic network process and zero-one goal programming. Land Use Policy, (99). https://doi.org/10.1016/j.landusepol.2020.104831.

Mohammed Ameen, R. F., Mourshed, M. (2019). Urban sustainability assessment framework development: The ranking and weighting of sustainability indicators using analytic hierarchy process, Sustainable Cities and Society, (44), 356-366. https://doi.org/10.1016/j.scs.2018.10.020

Doyle, M. R. (2020). Mapping urban underground potential in Dakar, Senegal: From the analytic hierarchy process to self-organizing maps, Underground Space, 5 (3), 267-280. https://doi.org/10.1016/j.undsp.2019.04.004.

Peng, J., Peng, F-L (2018). A GIS-based evaluation method of underground space resources for urban spatial planning: Part 1 methodology, Tunnelling and Underground Space Technology, (74), 82-95. https://doi.org/10.1016/j.tust.2018.01.002.

Master plan for the development of Kyiv and its suburbs until 2025 (draft). Available at: https://kga.gov.ua/generalnij-plan

Published
2021-12-01
Cited
How to Cite
Pankratova, N., Nedashkovskaya, N., Haiko, H., & Biletskyi, V. (2021). Assessment of environmental risks of underground transport infrastructure development by BOCR method. Visnyk of V. N. Karazin Kharkiv National University, Series "Geology. Geography. Ecology", (55), 285-298. https://doi.org/10.26565/2410-7360-2021-55-21