Kockázatkezelések a veszélyesáru-szállítás kapcsán - áttekintés
Absztrakt
A veszélyesáruszállítás a kockázatos tevékenységekhez tartozik. Ezt az is indokolja, hogy nem lehetséges pontosan, előre meghatározni a veszélyesanyag kiszabadulás helyszíneit. A veszélyes áruk szállításával kapcsolatos kockázatok felmérésének és kezelésének kérdése a tudomány és a kutatás aktuális témái közé tartozik még európai szinten is. Jelen cikk összesíti az ismereteket a kérdéskörben - a veszélyesáru szállításásban és annak biztonsági biztosításában - valamint javaslatokat fogalmaz meg arra, hogyan fejleszthető a terület az ADR járművek ellenőrzése és felügyelete kapcsán, amikor is azonnali információk nyerhetőek a kérdéses járművek pontos pozíciójáról az esetleges baleset helyének meghatározásához. Felmerül ugyanígy a legyakrabban használt veszélyesáruszállítási útvonalak meghatározásának lehetősége a kapott felügyeleti adatok által.
Hivatkozások
Adamec, V., Schullerova, B., Adam, V. 2016. Issues of Hazardous Materials Transport and Possibilities of Safety Measures in the Concept of Smart Cities. Smart City 360, V 166, P 790-799.
Baselice, F., Ferraioli, G., Matuozzo, G. et al. 2014. 3D Automotive Imaging Radar for Transportation Systems Monitoring. Ieee Workshop on Environmental Energy and Structural Monitoring Systems, Sep 17-18, 2014, Naples, Italy, p. 7-11. ISBN 978-1-4799-4988-5.
Bogaert, M., Imbrechts, K., Grooten, L. 2013. New Flemish Approach for Risk Analysis System for the Transport of Dangerous Goods. Chemical Engineering Transactions, 31: 19-24.
Borghetti, F., Gandini, P., Seminati, P. et al. 2014. DESTINATION project a instrument for the protection of the territory through the knowledge of the risk associated to transport of dangerous goods on road. Geomedia, 18(2).
Bu, Q., Wang, Z., Tong, X. 2013. Research on Cause Analysis and Safety Management for Road Transportation Accidents of Dangerous Chemicals. In Applied Mechanics and Materials. Sustainable Cities Development and Environment Protection, Pts 1-3, Vol. 361-363, p. 2282.
Caliendo, C., De Guglielmo, M.L. 2017. Quantitative Risk Analysis on the Transport of Dangerous Goods Through a Bi-Directional Road Tunnel. Risk Analysis, 37(1): 116-129.
Caro-Vela, M.D., Fedriani, E.M., Tenorio, A.F. 2015. Design of an Efficient Algorithm to Determine a Near-Optimal Location of Parking Areas for Dangerous Goods in the European Road Transport Network. Lecture Notes in Computer Science, Computational Logistics. Vol. 9335, p.617-626.
Caro-Vela, M.D., Paralera, C., Contreras, I. 2013. A DEA-inspired approach to selecting parking areas for dangerous-goods trucks. European Journal of Transport and Infrastructure Research, 13(3): 184-200.
Cera, M., Fedriani, E. 2016. An advance in infinite graph models for the analysis of transportation networks. International Journal of Applied Mathematics and Computer Science, 26(4):855-869.
Conca, A., Ridella, Ch., Sapori, E. 2016. A risk assessment for road transportation of dangerous goods: a routing solution. Transportation Research Procedia, Vol. 14, p. 2890-2899.
Di Fazio, A., Bettinelli, D., Louette, E. et al. 2016. European pathways to introduce EGNOS and Galileo for dangerous goods transport. Transportation Research Procedia, Vol. 14, p. 1482-1491.
Dolia, V., Englezi, I. 2015. Determine the safe transport of dangerous goods route. Transport Problems, 10(1):31-44.
Forigua, J., Lyons, L. 2016. Safety analysis of transportation chain for dangerous goods: A case study in Colombia. Transportation Research Procedia, Vol. 12, p. 842-850.
Garbolino, E., Lachtar, D., Sacile, R. et al. 2013. Vulnerability and Resilience of the Territory Concerning Risk of Dangerous Goods Transportation (DGT): Proposal of a Spatial Model. Chemical Engineering Transactions, 32: 91-96.
ISO. 2015. ISO 9000:2015 - Quality management systems. 2018. [Cit. 08.12.2018]. Available online: https://www.iso.org/standard/45481.html
ISO. 2012. ISO 39001:2012 - Road traffic safety (RTS) management systems -- Requirements with guidance for use. 2018. [Cit. 08.12.2018]. Available online: https://www.iso.org/standard/44958.html
Janno, J., Koppel, O. 2017. Human factor as the main operational risk in dangerous goods transportation chain. Proceedings of 17th International Scientific Conference Business Logistics in Modern Management, Oct 12-13, 2017, Osijek, Croatia p. 63-78
Janno, J., Koppel, O. 2018. Operational risks in dangerous goods transportation chain on roads. Logforum, 14(1)_33-41.
Kanj, H., Flaus, J.-M. 2015. An Agent-based framework for mitigating hazardous materials transport risk. IEEE Conference on Evolving and Adaptive Intelligence Systems, Dec 01-03, 2015, France.
Karim, L., Boulmakoul, A., Mabrouk, A. et al. 2017. Deploying Real Time Big Data Analytics in Cloud Ecosystem for Hazmat Stochastic Risk Trajectories. Procedia Computer Science, Vol. 109, p. 180-187.
Krejci, L., Schullerova, B., Adamec, V. 2018. Risk Assessment of the Transport of Ammonia and Chlorine in Urban Areas. Chemicke Listy, 112(4):232-236.
Landucci, G., Antonioni, G., Tugnoli, A. et al. 2017. HazMat transportation risk assessment: A revisitation in the perspective of the Viareggio LPG accident. Journal of Loss Prevention in the Process Industries, 49:36-46.
Li, H.-H., Wang, Y.-J. 2017. Research on the Road Transport Risk of Domestic Hazardous Chemicals. AEBMR-Advances in Economics Business and Management Research, Vol. 50, p. 164-171.
Li, W., Gu, J. 2016. Application of IC Card License for Road Transportation in Commercial Vehicles Supervision and Service. MATEC Web of Conferences, Vol 81.
Liu, W., Zheng, A., Li, H. et al. 2012. Dangerous Goods Dynamic Monitoring and Controlling System Based on IOT and RFID. Proceedings of the 2012 24th Chinese Control and Decision Conference, May 23-25, 2012, Taiyuan, Peoples R China, p. 4171-4175
Lukasik, Z., Kusminska-Fijalkowska, A., Kozyra, J. 2017. Transport of dangerous goods by road from a European aspect. Scientific Journal of Silesian University of Technology-Series Transport, 95:109-119.
Mahmoudabadi, A. 2015. Developing a chaotic pattern of dynamic risk definition for solving hazardous material routing-locating problem. Journal of Loss Prevention in the Process Industries, 37:1-10.
Malekian, R., Kavishe, A.F., Maharaj, B.T. et al. 2016. Smart Vehicle Navigation System Using Hidden Markov Model and RFID Technology. Wireless Personal Communications, 90(4): 1717-1742.
Mlynczak, M., 2014. Risk assessment of the road transportation concerning dangerous goods. Proceedings of 22nd Annual Conference on European Safety and Reliability (ESREL), Sep 29-oct 02, 2013, Amsterdam, Netherlands, p. 2275-2280.
Nowacki, G., Krysiuk, C., Kopczewski, R. 2016. Dangerous Goods Transport Problems in the European Union and Poland. Transnav-International Journal on Marine Navigation and Safety of Sea Transportation, 10(1): 143-150.
Patricio, P., Santos B.J., Bateira, C. 2013. Transport of dangerous goods by road - Accidents involving flammable Gases (class 2.1) in Portugal. Proceedings of the 9th International Symposium on Occupational Safety and Hygiene (SHO), Feb 14-15, 2013, Guimaraes, Portugal, p. 389.
Rada, E.C., Ferronato, N., Torretta, V. 2017. Individual risk evaluation and interventions for mitigation in the transportation of hazardous goods: a case study. Proceedings of the 8th International Conference on Manufacturing Science and Education, Jun 07-09, 2017, Sibiu, Romania.
Razga, M., Jancarikova, E., Danisovic, P. 2017. Research of selected factors of safety in road tunnels for practice. 2nd International Conference on Engineering Sciences and Technologies (ESaT), Jun 29-jul 01, 2016, Slovakia.
Razga, M., Danisovic, P., Polednak, P. 2015. Extension of risk analysis model for road tunnels. Proceedings of the 24th Russian-Polish-Slovak Seminar on Theoretical Foundation of Civil Engineering, Aug 24-28, 2015, Samara, RUSSIA, Vol. 111, p. 687-693.
Roncoli, C., Bersani, Ch., Sacile, R. 2013. A Risk-Based System of Systems Approach to Control the Transport Flows of Dangerous Goods by Road. Ieee Systems Journal, 7(4): 561-570.
Rongrong, l., Yee, L., Bo, H. et al. 2013. A genetic algorithm for multiobjective dangerous goods route planning. International Journal of Geographical Information Science, 27(6):1073-1089.
Salmane, H., Ruichek, Y., Khoudour, L. 2014. A novel evidence based model for detecting dangerous situations in level crossing environments. Expert Systems with Applications, 41(3):795-810.
Smal, T., Kopczewski, M. 2016. Transportation of Dangerous Goods - Legal and Technical Conditions and Marking of Vehicles. Proceedings of the 20th International Scientific Conference Transport Means 2016, Oct 05-07, 2016, Juodkrante, Lithuania, p. 191-196.
Tang, L., Zhang, Y., Ying, X. 2014. Sensor-Based Real-Time Monitoring Hazardous Chemical Cargo. Proceedings of the 3rd International Conference on Green Power, Materials and Manufacturing Technology and Applications, Dec 27-30, 2013, Wuhan, Peoples R China, Vol. 484-485, p. 311.
UNECE. 2017. European Agreement concerning the International Carriage of Dangerous Goods by Road. 2018. [Cit. 08.12.2018]. Available online: https://www.unece.org/trans/danger/publi/adr/adr_e.html
Xie, Y., Yu, M., Fu, J. et al. 2016. A Hazmat Transportation Monitoring System Based on Global Positioning System/ BeiDou Navigation Satellite System and RS485 bus. Proceedings of the 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), Oct 15-17, 2016, Datong, Peoples R China, p. 1059-1063.
Ye, N., Wang, Z., Malekian, R. et al. 2016. A hidden Markov model combined with RFID-based sensors for accurate vehicle route prediction. International Journal of Ad Hoc and Ubiquitous Computing, 23(1-2):124-133.
Zero, L., Bersani, Ch., Sacile, R. 2016. Bi-objective shortest path problem with one fuzzy cost function applied to dangerous goods transportation on a road network. Proceedings of the 11th IEEE System of Systems Engineering Conference (SoSE), Jun 12-16, 2016, Kongsberg, Norway.
