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003    MiAaPQ 
005    20200713055315.0 
006    m     o  d |       
007    cr cnu|||||||| 
008    200713s2015    xx      o     ||||0 eng d 
020    9781784410711|q(electronic bk.) 
020    |z9781784410728 
035    (MiAaPQ)EBC1953296 
035    (Au-PeEL)EBL1953296 
035    (CaPaEBR)ebr11018400 
035    (CaONFJC)MIL720279 
035    (OCoLC)898155682 
040    MiAaPQ|beng|erda|epn|cMiAaPQ|dMiAaPQ 
050  4 HE1-9990 
082 0  388.072 
100 1  Rasouli, Soora 
245 10 Bounded Rational Choice Behaviour :|bApplications in 
       Transport 
250    1st ed 
264  1 Bingley :|bEmerald Publishing Limited,|c2015 
264  4 |c©2015 
300    1 online resource (289 pages) 
336    text|btxt|2rdacontent 
337    computer|bc|2rdamedia 
338    online resource|bcr|2rdacarrier 
505 0  Front Cover -- Bounded Rational Choice Behaviour: 
       Applications in Transport -- Copyright page -- Contents --
       List of Contributors -- Preface -- Frontiers in Modelling 
       Bounded Rationality in Travel Behaviour Research: 
       Introduction to the Collection of Chapters -- References -
       - Chapter 1 Models of Bounded Rationality under Certainty 
       -- 1.1 Framework -- 1.2 Non-Optimal Decision Mechanisms --
       1.3 Considering a Subset of Influential Attributes -- 1.4 
       Indifference between Small Differences in Utility or 
       Attribute Values -- 1.5 Considering a Subset of Choice 
       Alternatives -- 1.6 Applications -- 1.7 Conclusions and 
       Discussion -- References -- Chapter 2 Utility Maximisation
       and Regret Minimisation: A Mixture of a Generalisation -- 
       2.1 Introduction -- 2.2 Model Structures -- 2.2.1 The 
       Generalised RRM Model -- 2.2.2 Mixture Model -- 2.3 
       Empirical Analysis -- 2.3.1 Data -- 2.3.2 Results -- 2.4 
       Summary and Conclusions -- References -- Chapter 3 
       Relative Utility Modelling -- 3.1 Introduction -- 3.2 
       Relative Utility Modelling -- 3.2.1 General Formulation --
       3.2.2 Alternative-Oriented Relative Utility -- 3.2.3 
       Representing Quasi-Nested Choice Structure -- 3.2.4 
       Endogenous Modelling of Choice Set Generation -- 3.2.5 
       Reflecting the Non-linearity of Context Dependency -- 3.3 
       Major Findings of Existing Studies -- 3.3.1 Choices of 
       Destinations and Stop Patterns -- 3.3.2 Dynamic Travel 
       Mode Choice -- 3.3.3 Travel Information and Travel 
       Behaviour -- 3.3.4 Choices of Packaged Tours -- 3.3.5 
       Choice Set Generation -- 3.4 Further Improvements -- 3.4.1
       Modelling Improvements -- 3.4.2 Model Estimation -- 3.5 
       Conclusion -- References -- Chapter 4 The Influence of 
       Varying Information Load on Inferred Attribute Non-
       Attendance -- 4.1 Introduction -- 4.2 Methodology -- 4.3 
       Data and Model Specifications -- 4.4 Results -- 4.5 
       Discussion -- References 
505 8  Chapter 5 The Heterogeneous Heuristic Modeling Framework 
       for Inferring Decision Processes -- 5.1 Motivation -- 5.2 
       Modeling Framework -- 5.2.1 Satisficing Decision -- 
       5.2.1.1 Preference structure -- 5.2.1.2 Deriving decision 
       heuristics -- 5.2.1.3 Choice of heuristics -- 5.2.1.4 
       Mental effort -- 5.2.1.5 Risk perception -- 5.2.1.6 
       Expected outcome -- 5.2.2 Extension to Comparative 
       Decision -- 5.3 Applications -- 5.3.1 The Go-Home Decision
       -- 5.3.1.1 Model specification -- 5.3.1.2 Results -- 5.3.2
       The Direction Choice Decision -- 5.3.2.1 Model 
       specification -- 5.3.2.2 Results -- 5.4 Conclusion and 
       Future Work -- References -- Chapter 6 Investigating 
       Situational Differences in Individuals' Mental 
       Representations of Activity-Travel Decisions: Progress and
       Empirical Illustration for the Impact of Online 
       Alternatives -- 6.1 Introduction -- 6.2 Mental 
       Representations of Complex Decision Problems -- 6.2.1 
       Theory and Concepts -- 6.2.2 Measuring Mental 
       Representations -- 6.3 Case Study -- 6.3.1 Choice Task and
       Experimental Design -- 6.3.2 Data Collection and Sample --
       6.3.3 Analysis -- 6.3.3.1 The complexity of respondents' 
       mental representations -- Number of recalled 
       considerations -- Number of attributes and number of 
       benefits -- Benefits per attribute -- Number of cognitive 
       subsets -- Conclusions on the complexity of respondents' 
       MRs -- 6.3.3.2 The content of respondents' mental 
       representations -- Ranking of decision variables -- The 
       frequency of elicited attributes -- The frequency of 
       elicited benefits -- The frequency of elicited cognitive 
       subsets -- Centrality of variables -- 6.3.4 Conclusion -- 
       6.4 Conclusions and Discussion -- References -- Chapter 7 
       Towards a Novel Classifier for the Representation of 
       Bounded Rationality in Models of Travel Demand -- 7.1 
       Introduction to Decision Theory -- 7.2 Decision Theory in 
       Activity-Based Models 
505 8  7.2.1 Introduction -- 7.2.2 Decision Theory in AB Models -
       - 7.3 Bayesian Networks -- 7.3.1 General Concepts -- 7.3.2
       Parameter Learning -- 7.3.3 Entering Evidences -- 7.3.4 
       Structural Learning -- 7.4 Bayesian Network Classifiers: 
       Problem Formulation -- 7.5 Towards A New Integrated 
       Classifier -- 7.6 Data and Design of the Experiments -- 
       7.6.1 Data -- 7.6.2 Design of the Experiments -- 7.7 
       Results -- 7.7.1 Model Comparison: Accuracy Results -- 
       7.7.2 Model Comparison in Terms of Model and Individual 
       Rule Complexity -- 7.7.3 Activity Pattern Level Analysis -
       - 7.7.4 Trip Matrix Level Analysis -- 7.8 Conclusion and 
       Discussion of the Results -- References -- Chapter 8 
       Bounded Rationality in Dynamic Traffic Assignment -- 8.1 
       Introduction -- 8.2 Dynamic Traffic Assignment -- 8.2.1 
       Problem Definition -- 8.2.2 Example -- 8.2.3 Travel Flow 
       Component -- 8.2.4 Wardrop's First Principle and its 
       Dynamic Extensions -- 8.3 Bounded Rationality in Traffic 
       Assignment -- 8.4 Boundedly Rational Dynamic User 
       Equilibrium Route Choice Assignment -- 8.4.1 Tolerance-
       Based Dynamic User Optimal Principle -- 8.4.2 Nonlinear 
       Complementarity Problem (NCP) Formulation -- 8.4.3 
       Solution Existence and Uniqueness -- 8.4.4 Solution Method
       -- 8.5 Boundedly Rational Dynamic user Equilibrium Route 
       and Departure Time Choice Assignment -- 8.6 Concluding 
       Remarks -- Acknowledgements -- References -- Chapter 9 
       Incorporating Bounded Rationality in a Model of Endogenous
       Dynamics of Activity-Travel Behaviour -- 9.1 Introduction 
       -- 9.2 The Model -- 9.2.1 Activity Profiles and Universal 
       Choice Set -- 9.2.2 Decision-Making Process -- 9.2.2.1 
       Cognitive responses -- 9.2.2.2 Emotional responses -- 
       9.2.2.3 Choice set formation -- 9.2.2.4 Aspirations and 
       stress -- 9.2.2.5 Habit formation -- 9.2.2.6 Short-term 
       dynamics -- Exploitation choice mode -- Exploration choice
       mode -- 9.2.2.7 Long-term dynamics 
505 8  Lowering aspirations -- Becoming 'awake' -- 9.2.3 Updating
       Phase -- 9.3 Numerical Simulations -- 9.3.1 Simulation 
       Settings -- 9.3.2 Basic Case Results -- 9.3.3 Effect of 
       Memory-Activation Parameters -- 9.3.3.1 Effect of λ2 
       parameter -- 9.3.3.2 Effect of γ parameter -- 9.3.4 Effect
       of Emotion-Related Parameters -- 9.3.4.1 Effect of α2 
       parameter -- 9.3.4.2 Effect of α1 parameter -- 9.4 
       Conclusions and Discussion -- References -- Chapter 10 
       Multidimensional Travel Decision-Making: Descriptive 
       Behavioural Theory and Agent-Based Models -- 10.1 
       Background -- 10.2 Theory and Models -- 10.2.1 Modelling 
       Imperfect Knowledge -- 10.2.2 Modelling Multidimensional 
       Search -- 10.2.3 Search Rules and Decision Rules -- 10.2.4
       Empirical Data Collection -- 10.3 Simulation Results -- 
       10.4 Discussion and Conclusion -- References -- Chapter 11
       Prospect Theory and its Applications to the Modelling of 
       Travel Choice -- 11.1 Introduction -- 11.2 Making Travel 
       Choices under Risk: The Assumptions of Expected Utility 
       Theory (EUT) and Prospect Theory (PT) -- 11.3 Cumulative 
       Prospect Theory (CPT) -- 11.4 Numeric Example -- 11.5 
       Incorporating Prospect Theory in Travel Choice Modelling -
       Application Areas and Evidence -- 11.6 Prospect Theory and
       Behavioural Change -- 11.7 Shortcomings and Limitations of
       Prospect Theory in Modelling Travel Behaviour -- 11.8 
       Summary and Conclusions -- References -- About the Authors
       -- Index 
520    The book is an attempt to stimulate development in travel 
       behaviour analysis and provide a basic source of reference
       to the transportation research community. The aim of the 
       book is to give centre stage to some recent innovative 
       approaches to models of bounded rationality, both under 
       conditions of certainty and uncertainty 
588    Description based on publisher supplied metadata and other
       sources 
590    Electronic reproduction. Ann Arbor, Michigan : ProQuest 
       Ebook Central, 2020. Available via World Wide Web. Access 
       may be limited to ProQuest Ebook Central affiliated 
       libraries 
650  0 Transportation -- Research.;Consumer behavior 
655  4 Electronic books 
700 1  Timmermans, Harry 
776 08 |iPrint version:|aRasouli, Soora|tBounded Rational Choice 
       Behaviour : Applications in Transport|dBingley : Emerald 
       Publishing Limited,c2015|z9781784410728 
856 40 |uhttps://ebookcentral.proquest.com/lib/sinciatw/
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