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Titlebook: Quantified Societal Risk and Policy Making; R. E. Jorissen,P. J. M. Stallen Book 1998 Springer Science+Business Media New York 1998 Change

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書(shū)目名稱(chēng)Quantified Societal Risk and Policy Making
編輯R. E. Jorissen,P. J. M. Stallen
視頻videohttp://file.papertrans.cn/781/780746/780746.mp4
叢書(shū)名稱(chēng)Risk, Governance and Society
圖書(shū)封面Titlebook: Quantified Societal Risk and Policy Making;  R. E. Jorissen,P. J. M. Stallen Book 1998 Springer Science+Business Media New York 1998 Change
描述.Quantified Societal Risk and Policy Making. is the resultof an international workshop on societal risk organized by the DutchMinistry for Transport, Public Works and Water Management withadditional financial support from the Directorate for Transportation(DG VII) of the European Union. .Managing risks, whether there is a strong man-made or naturalcomponent, basically means assessing alternative options underuncertainty. The possibility of multiple fatalities is one of thefactors that can vary between options. .This volume is concerned with one particular type of risk - therisk of death of a number of people in one accident - and withone particular tool - probabilistic risk analysis - asthey are developing in various domains of society nowadays. Generally,this risk is labelled societal risk. This book shows how suchcomparisons are shaped at present in various hazard domains, such as:. . flood protection .. location and physicalplanning of industry .. transportation of chemicals, and ..prevention of aircraft accidents. .. .It examines how to represent aggregate risks from major hazards inways that can be handled by policy-makers. The purpose of the book isto increase the awareness o
出版日期Book 1998
關(guān)鍵詞Change; assessment; management; organization; planning; prevention; strategy; transport
版次1
doihttps://doi.org/10.1007/978-1-4757-2801-9
isbn_softcover978-1-4419-4789-5
isbn_ebook978-1-4757-2801-9Series ISSN 2512-3076 Series E-ISSN 2512-3084
issn_series 2512-3076
copyrightSpringer Science+Business Media New York 1998
The information of publication is updating

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Pieter Jan M. Stallen,Rob Geerts,Han K. Vrijling efficiency and accuracy.Chapters and examples highlight the.Dynamic Modeling of Musculoskeletal Motion introduces biomechanists to modern methods of modeling and analyzing dynamic biomechanical systems in three dimensions. Using vector kinematics, the reader is taught a systematic method which sign
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Richard Jorissens of macroeconomic theory. Worldwide, apart from a few, economists faced the profession’s dire challenge to develop an ability to think outside conventional macroeconomic equilibrium models. Such ability, of course, pre-supposes an open approach to dynamic macroeconomic modeling, one founded in a pr
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Theodore S. Glickmanes using the opinion dynamics approach by Weidlich and Haag (Concepts and models of a quantitative sociology. The dynamics of interacting populations. Springer, Berlin, 1983) and Lux (Econ J 105:881–889, 1995). Particularly, we assume that the overall state of confidence in the world (two-country) e
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Henk G. Roodbolactor matrices. In recent years, there has been growing interest in reducing the complexity of the . knowledge requirement, such as the work by Ko and Edgar (2001) [25], Kadali and Huang (2003) [26], and McNabb and Qin (2003) [27]. Although these attempts have reduced the complexity of the . knowled
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Hans-Joachim Uthn the performance of controllers achieved when the controllers are commissioned. Controller performance assessment using closed-loop data has received much attention over the past decade. Typically, the process response variance is compared with a benchmark variance for assessing performance of the
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