Stated choice methods: analysis and applications
Gespeichert in:
| Beteiligte Personen: | , , |
|---|---|
| Format: | Buch |
| Sprache: | Englisch |
| Veröffentlicht: |
Cambridge [u.a.]
Cambridge Univ. Press
2007
|
| Ausgabe: | 5. print. |
| Schlagwörter: | |
| Links: | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016779070&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| Umfang: | XV, 402 S. graph. Darst. |
| ISBN: | 9780521788304 |
Internformat
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Datensatz im Suchindex
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|---|---|
| adam_text | Contents
List of figures page ix
List of tables xi
Acknowledgements xv
1 Choosing as a way of life 1
1.1 Introduction 1
1.2 Decision making and choice behaviour 2
1.3 Conceptual framework 8
1.4 The world of choice is complex: the challenge ahead 10
Appendix Al Choosing a residential telecommunications bundle 19
2 Introduction to stated preference models and methods 20
2.1 Introduction 20
2.2 Preference data come in many forms 20
2.3 Preference data consistent with RUT 25
3 Choosing a choice model 34
3.1 Introduction 34
3.2 Setting out the underlying behavioural decision framework 35
3.3 Random utility maximisation 37
3.4 The basic choice model - a particular model formulation 44
3.5 Statistical estimation procedure 47
3.6 Model outputs 51
3.7 Behavioural outputs of choice models 57
3.8 A simple illustration of the basic model 62
3.9 Linking to the later chapters 65
Appendix A3 Maximum likelihood estimation technique 66
Appendix B3 Linear probability and generalised least squares
models 72
vi Contents
Experimental design 83
4.1 Introduction 83
4.2 Factorial designs 84
4.3 Fractional factorial designs 89
4.4 Practical considerations in fractional designs 94
4.5 Design strategies for simple SP experiments 96
Design of choice experiments 111
5.1 Introduction HI
5.2 Multiple choice experiments 112
5.3 General design principles for choice experiments 119
5.4 Availability designs for labelled alternatives 126
Appendix A5 Some popular choice designs 131
Relaxing the IID assumption - introducing variants of the MNL model 138
6.1 Setting the context for behaviourally more plausible models 138
6.2 Deriving the mean and variance of the extreme value type 1
distribution 142
6.3 Introduction to the nested logit model 144
6.4 Empirical illustration 154
6.5 The nested logit model - empirical examples 162
6.6 Tests of overall model performance for nested models 176
6.7 Conclusions and linkages between the MNL/NL models
and more complex models 182
Appendix A6 Detailed characterisation of the nested logit model 183
Appendix B6 Advanced discrete choice methods 189
Complex, non-IID multiple choice designs 213
7.1 Introduction 213
7.2 Designs for alternatives with non-constant error variances 214
7.3 Designs for portfolio, bundle or menu choices 215
7.4 Summary 226
Combining sources of preference data 227
8.1 Appreciating the opportunity 227
8.2 Characteristics of RP and SP data 228
8.3 The mechanics of data enrichment 233
8.4 Is it always possible to combine preference data sources? 243
8.5 A general preference data generation process 248
8.6 Summary 251
Implementing SP choice behaviour projects 252
9.1 Introduction 252
9.2 Components of the choice process 252
Contents vil
9.3 The steps in an SP choice study 255
9.4 Summary 282
10 Marketing case studies 283
10.1 Introduction 283
10.2 Case study 1: preference heterogeneity vs. variance
heteroscedasticity 283
10.3 Case study 2: choice set generation analysis 292
10.4 Summary 297
11 Transportation case studies 298
11.1 Introduction 298
11.2 Case study 1: introducing a new alternative: high speed rail
and the random effects HEV model in an SP-RP context 299
11.3 Case study 2: high speed rail and random effects HEV in a
switching context 301
11.4 Case study 3: valuation of travel time savings and urban route
choice with tolled options in an SP context 306
11.5 Case study 4: establishing a fare elasticity regime for urban
passenger transport: non-concession commuters with SP-RP
and HEV 315
11.6 Conclusions to chapter 328
12 Environmental valuation case studies 329
12.1 Introduction 329
12.2 Environmental valuation: theory and practice 329
12.3 Case study 1: use values - recreational hunting site choices 331
12.4 Case study 2: passive use values 343
12.5 The passive use value controversy: can SP help? 350
12.6 Conclusions 352
13 Cross validity and external validity of SP models 354
13.1 Introduction 354
13.2 A brief review of preference model comparisons 356
13.3 Preference regularities 357
13.4 Procedures for testing preference regularity 363
13.5 Empirical case studies and results 369
13.6 Summary and conclusions 379
References 382
Index 399
|
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| id | DE-604.BV035111252 |
| illustrated | Illustrated |
| indexdate | 2024-12-20T13:20:27Z |
| institution | BVB |
| isbn | 9780521788304 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-016779070 |
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| physical | XV, 402 S. graph. Darst. |
| publishDate | 2007 |
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| publisher | Cambridge Univ. Press |
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| spellingShingle | Louviere, Jordan J. Hensher, David A. Swait, Joffre Dan Stated choice methods analysis and applications Präferenzfunktion (DE-588)4277606-5 gnd Verbraucherverhalten (DE-588)4062644-1 gnd Mathematisches Modell (DE-588)4114528-8 gnd Kaufentscheidung (DE-588)4073328-2 gnd |
| subject_GND | (DE-588)4277606-5 (DE-588)4062644-1 (DE-588)4114528-8 (DE-588)4073328-2 |
| title | Stated choice methods analysis and applications |
| title_auth | Stated choice methods analysis and applications |
| title_exact_search | Stated choice methods analysis and applications |
| title_full | Stated choice methods analysis and applications Jordan J. Louviere ; David A. Hensher ; Joffre D. Swait |
| title_fullStr | Stated choice methods analysis and applications Jordan J. Louviere ; David A. Hensher ; Joffre D. Swait |
| title_full_unstemmed | Stated choice methods analysis and applications Jordan J. Louviere ; David A. Hensher ; Joffre D. Swait |
| title_short | Stated choice methods |
| title_sort | stated choice methods analysis and applications |
| title_sub | analysis and applications |
| topic | Präferenzfunktion (DE-588)4277606-5 gnd Verbraucherverhalten (DE-588)4062644-1 gnd Mathematisches Modell (DE-588)4114528-8 gnd Kaufentscheidung (DE-588)4073328-2 gnd |
| topic_facet | Präferenzfunktion Verbraucherverhalten Mathematisches Modell Kaufentscheidung |
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