The TTTP Journal is an international scientific journal published in English language with both electronic and printed versions.
TTTP provides conditions and positive environment for the new idea promotion, exchange research results and achievements accomplished by the scientific community from academia and transportation industry.
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The main aim of this paper is to raise awareness of the necessity to estimate the external costs of transport, and in particular in urban area of Canton Sarajevo. It does not provide full extent of the costs as it focuses only on two components, air pollution and accidents. It focuses on the concise methodology for estimation of external expenses of air pollution from road and air transport and road traffic accidents, using official statistical data for modeling emissions (COPERT 4, Copert Street Level, IPPC Tier 3A methodology) and for accounting road traffic accidents. Statistical significance of correla- tion between traffic flow and measured concentration of pollutant at Otoka location is determined by Pearson’s correlation coefficient. Air pollution and traffic accidents are monetized according to the Synapse Energy Economics cost estimation of metric ton of CO2, and Nicholas School of the Environ- ment, Duke University, for other pollutants, while estimation methodology for both air pollution and traffic accidents is done in line with Handbook on External Costs of Transport, European Commission.
The availability of real-time data on the state of railway facilities and the state-of-the art technologies for data collection and analysis allow transition to the fourth generation maintenance. It is based on the prediction of the facility functional safety and dependability and the risk-oriented facility management. The article describes an approach to assessing the risks of hazardous facility failures using the latest digital data processing methods. The implementation of this approach will help set maintenance objectives and contribute to the efficient use of resources and the reduction of railway facility managers’ expenditures.
The availability of real-time data on the state of railway facilities and the state-of-the art technologies for data collection and analysis allow transition to the fourth generation maintenance. It is based on the prediction of the facility functional safety and dependability and the risk-oriented facility management. The article describes an approach to assessing the risks of hazardous facility failures using the latest digital data processing methods. The implementation of this approach will help set maintenance objectives and contribute to the efficient use of resources and the reduction of railway facility managers’ expenditures.
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Pan European University APEIRON Banja Luka Journal TTTP Pere Krece 13, P.O.Box 51 78102 Banja Luka, Republic of Srpska Bosnia and Hercegovina
© 2024 Paneuropean University Apeiron All Rights Reserved
jita@apeiron-edu.eu
+387 51 247 925
+387 51 247 975
+387 51 247 912
Pan European University APEIRON Banja Luka Journal JITA Pere Krece 13, P.O.Box 51 78102 Banja Luka, Republic of Srpska Bosnia and Hercegovina
© 2024 Paneuropean University Apeiron All Rights Reserved
Pan European University APEIRON Banja Luka Journal TTTP Pere Krece 13, P.O.Box 51 78102 Banja Luka, Republic of Srpska Bosnia and Hercegovina
tttp@apeiron-edu.eu
+387 51 247 925
+387 51 247 975
+387 51 247 912
© 2024 Paneuropean University Apeiron All Rights Reserved