Transport of dangerous goods
In: Environmental policy and law, Band 5, Heft 2, S. 92-92
ISSN: 1878-5395
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In: Environmental policy and law, Band 5, Heft 2, S. 92-92
ISSN: 1878-5395
A serious incident involving dangerous goods in a tunnel can be extremely costly in terms of loss of human lives, environmental degradation, tunnel damage and transport disruption. On the other hand, needlessly banning dangerous goods from tunnels may create unjustified economic costs. Moreover, such a ban might force operators to use more dangerous routes, such as densely populated areas, and thus increase the overall risk. This report proposes regulations and procedures to increase the safety and efficiency of transporting dangerous goods through road tunnels. It introduces two models, devel
In: Chinese business review, Band 17, Heft 8
ISSN: 1537-1506
In the Serbian Armed Forces, oil and petroleum products are tran sported primarily for military units and institutions. The route for the movement of vehicles is selected during the transportation planning process. This paper describes a methodology for the selection of a route for the transport of dangerous goods and its application on one particular case in the Serbian Armed Forces.
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In: Vojnotehnicki glasnik, Band 62, Heft 3, S. 165-184
In: NATO Science for Peace and Security Series: Human and Societal Dynamics, v. 45 v.v. 45
In: NATO Science for Peace and Security Series - e: Human and Societal Dynamics Ser. v.45
Logistics has become a strategic factor for development and competition. Terrorist attacks, such as 11th of September 2001 in the USA, have caused the introduction of rules and procedures, which affect the overall logistics showing the vulnerability of the global economy. This book presents the status of research on dangerous goods transport.
In: NATO Science for Peace and Security Series C: Environmental Security Ser.
Intro -- Transport of Dangerous Goods -- Foreword -- Contents -- Chapter 1: Dangerous Goods Transportation and Biophysical Vulnerability: The Contribution of GIS and Simulation Softwares -- 1.1 Introduction -- 1.2 The Transport of Dangerous Goods by Road: A General Framework -- 1.3 TDG Road Accidents and Associated Phenomena -- 1.4 The Hazards Arising from a TDG Accident -- 1.4.1 Explosions -- 1.4.1.1 The BLEVE Explosion -- 1.4.1.2 The UVCE Explosion -- 1.4.2 Toxic Atmospheric Releases -- 1.4.2.1 The Source of the Release -- 1.4.2.2 The Weather -- 1.4.2.3 The Immediate Environment -- 1.5 The Concept of Vulnerability -- 1.6 Biophysical Vulnerability Thresholds -- 1.6.1 Vulnerability Thresholds: Temperature -- 1.6.2 Vulnerability Thresholds: Overpressure -- 1.6.3 Vulnerability Thresholds: Toxic Substances -- 1.6.3.1 Ethylene Oxide -- 1.7 Case Study of a Vulnerable Area: Nice - Imperia - Savona -- 1.7.1 Savona -- 1.7.2 Imperia -- 1.7.3 Alpes-Maritimes -- 1.7.4 Traffic Flows -- 1.8 A Proposed Model for Damage Estimation -- 1.8.1 The Damage Estimation Model -- 1.8.2 Simulation of the Atmospheric Dispersion of a Toxic Substance in the City of Nice -- 1.8.2.1 General Approach to Toxic Waste Simulation -- 1.8.2.2 Crisis Management: Assets Exposed to Instantaneous Air Releases of Ethylene Oxide -- 1.8.3 Simulation of a BLEVE and UCVE-Type Explosion in Savona -- 1.8.3.1 The BLEVE Scenario -- 1.8.3.2 The UCVE Scenario -- 1.9 Conclusion -- References -- Chapter 2: Legislative Context and Governance Principles for Dangerous Goods Transportation (DGT) Integrated Risk Management -- 2.1 Introduction -- 2.2 The Current Regulatory Context -- 2.2.1 Spotting - Placarding - Marking -- 2.2.2 Limitations of the Current Legislation -- 2.2.3 Tracking and Tracing -- 2.3 Transportation of Dangerous Goods Based on GNSS -- 2.4 The Future in an Increasing 'ITS' Environment.
In: Risk analysis: an international journal, Band 37, Heft 1, S. 116-129
ISSN: 1539-6924
A quantitative risk analysis (QRA) regarding dangerous goods vehicles (DGVs) running through road tunnels was set up. Peak hourly traffic volumes (VHP), percentage of heavy goods vehicles (HGVs), and failure of the emergency ventilation system were investigated in order to assess their impact on the risk level. The risk associated with an alternative route running completely in the open air and passing through a highly populated urban area was also evaluated. The results in terms of social risk, as F/N curves, show an increased risk level with an increase the VHP, the percentage of HGVs, and a failure of the emergency ventilation system. The risk curves of the tunnel investigated were found to lie both above and below those of the alternative route running in the open air depending on the type of dangerous goods transported. In particular, risk was found to be greater in the tunnel for two fire scenarios (no explosion). In contrast, the risk level for the exposed population was found to be greater for the alternative route in three possible accident scenarios associated with explosions and toxic releases. Therefore, one should be wary before stating that for the transport of dangerous products an itinerary running completely in the open air might be used if the latter passes through a populated area. The QRA may help decisionmakers both to implement additional safety measures and to understand whether to allow, forbid, or limit circulation of DGVs.
In: Hamburg Studies on Maritime Affairs; The Hamburg Lectures on Maritime Affairs 2007 & 2008, S. 9-20
In: Environmental management: an international journal for decision makers, scientists, and environmental auditors, Band 20, Heft 5, S. 753-766
ISSN: 1432-1009
Dangerous goods are substances with hazardous properties and products that can harm people, the environment or property. Incorrect transport or storage of such cargo can lead to human or animal disease, poisoning, burns, as well as explosion, fire, damage to other cargo, rolling stock, structures and equipment, contamination of the environment and water. It is not possible to avoid the risk of transporting dangerous goods, but it can be controlled and minimized.A study on the possibilities for improving the transport of dangerous goods in the European Union countries was carried out. The study was conducted using a survey method. Questionnaires were sent to transport companies carrying dangerous goods. These companies are based in the European Union countries. The purpose of the study was to find out what security measures the relevant transport company is taking to ensure the safe transport of dangerous goods, the modes of transport of the most dangerous goods, the countries where the dangerous goods transported by the respective carrier are mostly transported, the information means used by the company for fast and safe transportation to the consignee of this type of cargo.The article presents the results of the study on the transport of dangerous goods in the EU countries. The questionnaire analysis showshow respondents in the European Union countries evaluate the transport of dangerous goods, what dangerous goods are usually transported, what are the causes of accidents and what is being done to reduce the risks of transporting dangerous goods.After analysis of the results of the study it can be stated that the EU countries have a variety of security measures to reduce the risk of dangerous goods transport. Therefore, Lithuanian carriers can be offered various means of safe transportation of these goods.The article provides guidance measures to ensure the safe transport of that cargo.
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Dangerous goods are substances with hazardous properties and products that can harm people, the environment or property. Incorrect transport or storage of such cargo can lead to human or animal disease, poisoning, burns, as well as explosion, fire, damage to other cargo, rolling stock, structures and equipment, contamination of the environment and water. It is not possible to avoid the risk of transporting dangerous goods, but it can be controlled and minimized.A study on the possibilities for improving the transport of dangerous goods in the European Union countries was carried out. The study was conducted using a survey method. Questionnaires were sent to transport companies carrying dangerous goods. These companies are based in the European Union countries. The purpose of the study was to find out what security measures the relevant transport company is taking to ensure the safe transport of dangerous goods, the modes of transport of the most dangerous goods, the countries where the dangerous goods transported by the respective carrier are mostly transported, the information means used by the company for fast and safe transportation to the consignee of this type of cargo.The article presents the results of the study on the transport of dangerous goods in the EU countries. The questionnaire analysis showshow respondents in the European Union countries evaluate the transport of dangerous goods, what dangerous goods are usually transported, what are the causes of accidents and what is being done to reduce the risks of transporting dangerous goods.After analysis of the results of the study it can be stated that the EU countries have a variety of security measures to reduce the risk of dangerous goods transport. Therefore, Lithuanian carriers can be offered various means of safe transportation of these goods.The article provides guidance measures to ensure the safe transport of that cargo.
BASE
In: Vojnotehnički glasnik: naučni časopis Ministerstva Odbrane Republike Srbije = Military technical courier : scientific periodical of the Ministry of Defence of the Republic of Serbia = Voenno-techničeskij vestnik : naučnyj žurnal Ministerstva Oborony Respubliki Serbija, Band 70, Heft 4, S. 939-971
ISSN: 2217-4753
Introduction/purpose: The paper presents a model for the selection of a route for the transport of dangerous goods using DEA (Data Envelopment Analysis) models and fuzzy logic systems. The presented model is used to define the risk on road sections during the transport of dangerous goods as well as to select the optimal route for the realization of the transport task. Methods: The model consists of two phases. The first phase includes the application of DEA models in which formed input and output models are connected in the output DEA final form which shows routes with a satisfactory level of traffic safety and at the same time eliminates routes with low traffic safety. The second phase involves the application of fuzzy logic systems, and as a way out of the fuzzy system, preference is given to one route. Route evaluation is based on six criteria, namely: route length, number of access points, AADT (annual average daily traffic), the number of traffic accidents with fatalities, the number of traffic accidents with the injured and the number of traffic accidents with material damage. When the values of the input criteria are entered, a calculation and evaluation is performed, and, as an exit from the fuzzy system, preference is given to one of the entered routes (the route with the lowest level of risk). The criteria used were defined on the basis of expert assessments. Results: A user program that represents decision support in traffic service. Conclusion: The user platform was created for the Matlab R2015a software package with the ability to be adapted to specific problems.
In: Risk analysis: an international journal, Band 41, Heft 9, S. 1522-1539
ISSN: 1539-6924
AbstractA quantitative risk analysis (QRA) concerning dangerous goods vehicles (DGVs), including also vehicles for the transport of liquid hydrogen (LH2TVs), running through unidirectional motorway tunnels was performed. An event tree was built, and a wide parametric analysis based on different geometric and traffic characteristics of tunnels was carried out. The effects of the annual average daily traffic (AADT) per lane, the tunnel length (L), the percentage both of heavy goods vehicles (HGVs) and DGVs (for a given 7% of LH2TVs) were investigated. The results in terms of social risk, as expressed by F/N curves and the expected value (EV), show an increased risk level with the presence of the hydrogen transported, and with certain F/N curves that might also lie above the acceptability limit. This means that additional safety measures should be implemented in order to reduce the risk level or that, alternatively, appropriate strategies of traffic control systems should be taken. A statistical modeling for developing a predictive method of the EV is also performed. The outcomes show that the regression coefficients have the signs expected. In particular, the EV increases with the tunnel length (L), the AADT, and the percentage both of HGVs and DGVs. However, the magnitude of estimated coefficients indicates that the expected value EV increases more with the traffic (AADT per lane, HVGs, or DGVs) than the tunnel length. The application of the approximate method might help the Tunnel Management Agencies (TMAs) in making quick decisions, at a preliminary stage, about temporarily allowing, forbidding or limiting the circulation of DGVs and/or LH2TVs through tunnels; and subsequently investigating in greater depth the potential hazards due to the transport of hydrogen in the worst cases individualized.
In: Environmental science and pollution research: ESPR, Band 30, Heft 12, S. 32288-32300
ISSN: 1614-7499