Barnaby Prospects for Peace

1. Auflage 2015
ISBN: 978-1-4832-7933-6
Verlag: Elsevier Science & Techn.
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 94 Seiten, Web PDF

Prospects for Peace is an eight-chapter text that focuses on the issues and controversies in the so-called global peace. The first chapters provide a framework of the issues of global peace, the increasing probability of nuclear war, global militarization, and the spread and use of nuclear weapons. These topics are followed by discussions of legal policies concerning nuclear weapon, particularly nuclear war fighting weapon in Europe. A chapter examines the unimaginable consequences of nuclear war. The last chapter emphasizes the prospects for peace, including nuclear weapon disarmament and the control of military science.

Autoren/Hrsg.

Barnaby, Frank

Inhaltsverzeichnis

1;Front
Cover;1
2;Spatial Choices and Processes;4
3;Copyright Page;5
4;Table of Contents;8
5;Preface;6
6;List of Figures;14
7;List of Tables;16
8;Contributing Authors;18
9;Chapter 1. Current Trends in Behavioural Modelling;22
9.1;1.1 Introduction;22
9.2;1.2 Different Modes of Explanation;23
9.3;1.3 Recent Progress in Behavioural Modelling;25
9.4;1.4 Outline of the Book;26
9.5;1.5 Concluding Remarks;32
9.6;References;32
10;PART A: New Approaches to Spatial Choice Analysis;36
10.1;Chapter 2. Account of Different Views in Dynamic Choice Processes;38
10.1.1;2.1 Introduction;38
10.1.2;2.2 The Panel Data-Based Discrete Choice Approach to Modelling the Dynamics of Choice Processes;40
10.1.3;2.3 The Master Equation View in Dynamic Choice Processes;46
10.1.4;2.4 From Homo Economicus to Homo Socialis: The Ecological Approach to Dynamic Choice Processes;53
10.1.5;2.5 Concluding Remarks;62
10.1.6;References;63
10.2;Chapter 3. Theory of Chaos: Relevance for Analysing Spatial Processes;70
10.2.1;3.1 Introduction;70
10.2.2;3.2 Strange Attractors: A Brief Overview;73
10.2.3;3.3 Regional Economic Applications;80
10.2.4;3.4 An Illustrative Simple Model of Chaos for Urban Dynamics;84
10.2.5;3.5 Results of Simulation Experiments;86
10.2.6;3.6 An Optimal Control Formulation of a 'Chaos' Problem;89
10.2.7;3.7 Concluding Remarks;93
10.2.8;References;96
10.3;Chapter 4. A Model of Continuous Spatial Choice;102
10.3.1;4.1 Introduction;102
10.3.2;4.2 Allocation Choice;103
10.3.3;4.3 Location Choice;108
10.3.4;4.4 Concluding Remarks;111
10.3.5;Acknowledgement;113
10.3.6;Appendix;113
10.3.7;References;119
10.4;Chapter 5. Theoretical Aspects of Variety-Seeking Choice Behaviour;122
10.4.1;5.1 Introduction;122
10.4.2;5.2 Theoretical Notions;123
10.4.3;5.3 Models of Variety-Seeking Behaviour;125
10.4.4;5.4 Conclusions;134
10.4.5;References;135
10.5;Chapter 6. Dirichlet-Logistic Models of Spatial Choice;138
10.5.1;6.1 Introduction;138
10.5.2;6.2 Heterogeneity, State Dependence and Non-Stationarity;139
10.5.3;6.3 Approaches to the Analysis of Longitudinal Data;140
10.5.4;6.4 Methods for Handling Unobserved Heterogeneity in Discrete-Time Models of Repeated Spatial Choice;141
10.5.5;6.5 The Beta-Logistic Model;144
10.5.6;6.6 The Dirichlet-Logistic Model;151
10.5.7;6.7 Non-Parametric Characterisation of the Mixing Distribution: The Mass Points Method;155
10.5.8;6.8 Conclusion;162
10.5.9;References;163
10.6;Chapter 7. The Conceptual and Empirical Basis of a General Theoiy of Spatial Knowledge;168
10.6.1;7.1 Introduction;168
10.6.2;7.2 The Basic Elements;170
10.6.3;7.3 Towards a General Theory of Spatial Knowledge;174
10.6.4;7.4 Information Processing Basis;176
10.6.5;7.5 Declarative Knowledge and Anchor Points;177
10.6.6;7.6 Procedural Knowledge and Anchor Points;181
10.6.7;7.7 Configurational (Survey-Level) Knowledge and Anchor Points;181
10.6.8;7.8 Regions and Hierarchies;182
10.6.9;7.9 Summary and Conclusion;184
10.6.10;References;185
10.7;Chapter 8. NAVIGATOR: An AI-Based Model of Human Way-Finding in an Urban Environment;190
10.7.1;8.1 Introduction;190
10.7.2;8.2 Modelling Spatial Knowledge;192
10.7.3;8.3 The Two Modules of NAVIGATOR;195
10.7.4;8.4 Parameters of the System;200
10.7.5;8.5 The Performance of NS in a Guided Navigation Mode;202
10.7.6;8.6 The Performance of NS in an Unguided Mode;207
10.7.7;8.7 Summary and General Discussion;217
10.7.8;References;219
11;PART B: Discrete Choice Models and Choice Experiments;222
11.1;Chapter 9. Recent Developments in Flexible Discrete Choice Models: Nested Logit Analysis Versus Simulated Moments Probit Analysis;224
11.1.1;9.1 Introduction;224
11.1.2;9.2 The Multinomial Logit and the Nested Multinomial Logit Model;226
11.1.3;9.3 The Multinomial Probit Model and its Estimation Variants;227
11.1.4;9.4 Estimation of Covariance Terms;230
11.1.5;9.5 An Example: Comparison of Estimation Methods;231
11.1.6;9.6 Conclusions;236
11.1.7;References;237
11.2;Chapter 10. Comparing the Performance of Discrete Choice and Hedonic Models;240
11.2.1;10.1 Introduction;240
11.2.2;10.2 Explicit Welfare Comparisons: Discrete Choice and Hedonic Techniques;242
11.2.3;10.3 The Monte Carlo Simulations;247
11.2.4;10.4 Results;253
11.2.5;10.5 Conclusions;260
11.2.6;Acknowledgement;264
11.2.7;References;264
11.3;Chapter 11. The External Validity of Choice Models Based on Laboratory Choice Experiments;268
11.3.1;11.1 Introduction;268
11.3.2;11.2 The Meaning of External Validity;270
11.3.3;11.3 The Influence of the Choice Process on External Validity;273
11.3.4;11.4 Empirical Analysis - Background and Design;277
11.3.5;11.5 Conclusions;281
11.3.6;Acknowledgements;282
11.3.7;References;282
11.4;Chapter 12. The Orthogonality Issue in Stated Choice Designs;286
11.4.1;12.1 Introduction;286
11.4.2;12.2 Stated Choice Designs;287
11.4.3;12.3 Design and Estimation Orthogonality;288
11.4.4;12.4 Developing the Choice Design by Application;290
11.4.5;12.5 The Dilemma of Attribute Orthogonality in Unordered Polychotomous Choice Model Estimation on Individual Data;293
11.4.6;12.6 Conclusion;296
11.4.7;Acknowledgements;297
11.4.8;References;298
11.5;Chapter 13. Discrete Choice Analysis with Ordered Alternatives;300
11.5.1;13.1 Introduction;300
11.5.2;13.2 Types of Ordered Models;301
11.5.3;13.3 Ordered Alternatives;302
11.5.4;13.4 Sequential Alternatives Models;305
11.5.5;13.5 Continuous Dependent Incorrectly Treated;306
11.5.6;13.6 Summary;307
11.5.7;References;308
12;PART C: Applications;312
12.1;Chapter 14. Unemployment and Unfilled Vacancies in Spatial Models of Job Choice;314
12.1.1;14.1 Introduction;314
12.1.2;14.2 A Cross-Sectional Job Choice;316
12.1.3;14.3 A Dynamic Model of Spatial Labour Mobility;323
12.1.4;14.4 Conclusions;331
12.1.5;References;331
12.2;Chapter 15. The Residential Location and Workplace Choice: A Nested Multinomial Logit Model;334
12.2.1;15.1 Introduction;334
12.2.2;15.2 The Conceptual Framework;335
12.2.3;15.3 Data and Variables;341
12.2.4;15.4 Estimation Technique, Results and Validation;343
12.2.5;15.5 General Conclusions;348
12.2.6;References;349
12.3;Chapter 16. Using and Interpreting Generalised Loglinear Models in Geographic Analysis;352
12.3.1;16.1 Introduction;352
12.3.2;16.2 Multinomial Response Models;353
12.3.3;16.3 An Illustration and Application;361
12.3.4;16.4 Conclusion;368
12.3.5;References;369
12.4;Chapter 17. Air Transportation Passenger Route Choice: A Nested Multinomial Logit Analysis;370
12.4.1;17.1 Introduction;370
12.4.2;17.2 The Nested Choice Model;371
12.4.3;17.3 Data and Estimation Procedure;376
12.4.4;17.4 Empirical Results;380
12.4.5;17.5 Concluding Remarks;384
12.4.6;Acknowledgements;385
12.4.7;References;385
13;Author Index;388