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Causal risk models of air transport - NLR-ATSI

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following 6 levels: Government, Regulator, Company, Management, Staff and Work. The<br />

scope <strong>of</strong> the causal <strong>risk</strong> model should encompass the primary and subsidiary processes<br />

across all hierarchical levels from government down to work.<br />

1.3. Directions for the reader<br />

This thesis starts by explaining very briefly and superficially, the basics that are required<br />

before the research question can be really addressed. A proper discussion on causal<br />

modelling <strong>of</strong> aviation <strong>risk</strong> requires first a definition <strong>of</strong> the concepts <strong>of</strong> <strong>risk</strong> and safety in<br />

Chapter 2 and in Chapter 3 an explanation <strong>of</strong> ‘causality’ in itself, including a description <strong>of</strong><br />

what constitutes a ‘causal model’. User needs are introduced in Chapter 4. The focus then<br />

narrows to current practice beginning in Chapter 5 with a look at the way in which today<br />

safety assessments for <strong>air</strong> <strong>transport</strong> are typically conducted. Chapter 6 follows with an<br />

overview <strong>of</strong> other <strong>risk</strong> bearing industries with particular attention for the way in which <strong>risk</strong><br />

<strong>models</strong> are used in those sectors for managing and controlling <strong>risk</strong>. Comparison <strong>of</strong> current<br />

practice with user needs is decisive in selecting modelling techniques to be used in causal<br />

<strong>risk</strong> <strong>models</strong>. Different techniques and their characteristics are described in Chapter 7.<br />

Quantification is <strong>of</strong>ten mentioned as one <strong>of</strong> the main problems and will be the topic <strong>of</strong><br />

Chapter 8. Three traditionally difficult subjects in <strong>risk</strong> modelling are described in Chapter<br />

9: modelling human operators, modelling safety management and dealing with<br />

interdependencies between various parts <strong>of</strong> the model, while the fourth, validation, is dealt<br />

with in Chapter 10. All the ingredients are then available to come to a conclusion and to<br />

answer the main research question, which is done in Chapter 11. Additional background<br />

information is provided in the Appendices: Appendix A gives an overview <strong>of</strong> the history <strong>of</strong><br />

third party <strong>risk</strong> regulation at Schiphol <strong>air</strong>port. This information is relevant to appreciate the<br />

context from which a call for causal <strong>risk</strong> <strong>models</strong> was explicitly generated. Appendix B<br />

describes the main and subsidiary process in <strong>air</strong> <strong>transport</strong>. Appendix C gives information <strong>of</strong><br />

the CATS project. CATS is used throughout this thesis as an illustration <strong>of</strong> several issues.<br />

11

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