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Improvement of methodology of justification of safe routes for transportation of dangerous substances and cargo

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Category: Content №5 2021

Last Updated on 29 October 2021

Published on 30 November -0001

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Authors:

R.V.Petruk, orcid.org/0000-0002-5128-4053, Vinnytsia National Technical University, Vinnytsia, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

O.V.Lunova, orcid.org/0000-0002-2869-736X, State Ecological Academy of Postgraduate Education and Management, Kyiv, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

V.S.Garkushevskiy, orcid.org/0000-0002-5807-4446, Vinnytsia State Pedagogical University, Vinnytsia, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

повний текст / full article

Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu. 2021, (5): 112 - 117

https://doi.org/10.33271/nvngu/2021-5/112

Abstract:

Purpose. To improve existing methods for safe routing when transporting hazardous materials as well as waste products.

Methodology. Methods of mathematical modeling, methods of statistics, methods for predicting risks and long-term environmental consequences are used. Taking into account time factors, the distribution of population into different sections of highways is considered.

Findings. Parameters of the transport network and their influence on the magnitude of the risk of an emergency situation and possible accidents in the transportation of hazardous waste (THW) are established in the work. An analysis is conducted of dangerous effects that can be caused by THW taking into account the parameters of road, transport network, type and modes of transport, and others. In order to minimize the risk of accidents during THW, it is proposed to use appropriate approaches and criteria K₁ and K₂, which take into account the lowest values of dangerous effects on the person during the transportation time, which allow evaluating the safety of the transportation system and the selected route, whereas their product takes into account all the possible main factors of the transportation system. Typical road and rail transport schemes have been identified to ensure a minimum number of accidents and reduce environmental and human hazards.

Originality. Approaches are improved to transportation of dangerous goods by motorway and railroad, in particular, the parameters of curvature and inclination of the road, availability of settlements and bridges, meteorological conditions and traffic congestions, which improves the efficiency and safety of transportation of dangerous substances and materials.

Practical value. The original mathematical models of mapping the route for transporting dangerous substances are offered while the existing ones are improved. The results of the research can be used by transport companies, public authorities in the transportation of hazardous substances and logistics and non-hazardous industries.

Keywords: environmental safety, transportation of hazardous waste, safe transportation routes, risks of accidents

References.

1. Recommendations on the transport of dangerous goods. Model regulations. ST/SG/AC.10/1/Rev.19 (Vol.1). Retrieved from https://www.unece.org/fileadmin/DAM/trans/danger/publi/unrec/rev19/Rev19e_Vol_I.pdf.

2. Dolya, V.K., Kush, E.I., Lobashov, O.O., & Ponkratov, D.P. (2013). Ergonomic and logistic aspects of modeling of transport systems of cities: monograph. Kharkiv: NTMT.

3. Transportation of dangerous substances. Guide. 2019 edition (2019). Retrieved from https://www.transports.gouv.qc.ca/en/camionnage/Documents/guide-transportation-dangerous-substances.pdf.

4. W. Levin, M., Odell, M., Samarasena, S., & Schwartz, A. (2019). Alinear program for optimal integration of shared autonomous vehicles with public transit. Transportation Research Part C: Emerging Technologies, 109, 267-288. https://doi.org/10.1016/j.trc.2019.10.007.

5. Savage, I. (2013). Comparing the fatality risks in United States transportation across modes and over time. Research in Transportation Economics, 43(1), 9-22. https://doi.org/10.1016/j.retrec.2012.12.011.

6. Jiuping Xu, Yujie Yin, & Zhimiao Tao (2013). Rough approximation-based random model for quarry location and stone materials transportation problem. Canadian Journal of Civil Engineering, 40(9), 897-908. https://doi.org/10.1139/cjce-2012-0212.

7. Resource Conservation and Recovery Act Orientation Manual (2014). Retrieved from www.epa.gov/sites/production/files/2015-07/documents/rom.pdf.

8. Verkhovna Rada of Ukraine (n.d.). Law of Ukraine On Accession of Ukraine to the Basel Convention on the Control of Transboundary Movements of Hazardous Wastes and their Disposal. Retrieved from http://zakon1.rada.gov.ua/laws/show/803-14.

9. Assaf Botzer, Oren Musicant, & Yaniv Mama (2019). Relationship between hazard-perception-test scores and proportion of hard-braking events during on-road driving An investigation using a range of thresholds for hard-braking. Accident Analysis & Prevention, 132, 105267. https://doi.org/10.1016/j.aap.2019.105267.

10. Behzad Rouhieh, & Ciprian Alecsandru (2014). Optimizing route choice in multimodal transportation networks. Canadian Journal of Civil Engineering, 41(9), 800-810. https://doi.org/10.1139/cjce-2013-0331.

11. Chakrabarti, K.U., & Parikh, K.J. (2011). Route evaluation for hazmat transportation based on total risk a case of Indian state highways. Journal of Loss Prevention in the Process Industries, 24, 524-530. https://doi.org/ 10.1016/j.jlp.2011.03.002.

12. Zerkalov, D.V., Katsman, M.D., & Kovtun, A.I. (2014). Scientific basis of civil protection: monograph. Kyiv: Osnova.

13. Andersson, H. (2013). Consistency in preferences for road safety: An analysis of precautionary and stated behavior. Research in Transportation Economics, 43(1), 41-49. https://doi.org/10.1016/j.retrec.2013.01.001.

14. Khwaja Mateen Mazher, Albert P.C. Chan, Hafiz Zahoor, Ernest Effah Ameyaw, David J. Edwards, & Robert Osei-Kyei (2019). Modelling capability-based risk allocation in PPPs using fuzzy integral approach. Canadian Journal of Civil Engineering, 46(9), 777-788. https://doi.org/10.1139/cjce-2018-0373.

15. Chukurna, O.P. (2016). New approaches to the classification of logistics costs of industrial enterprises in the conditions of globalization. Economics: time realities. Scientific journal, 3(25), 105-112.

16. Yashkina, O.I., & Pedko, I.A. (2016). Models of inventory management for industrial enterprises under energy resources price increase. Marketing and management of innovations, 4, 315-324.

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