Demand modeling and pricing strategies for shared autonomous (electric) vehicle systems in German and American cities:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Abschlussarbeit Buch |
| Sprache: | English |
| Veröffentlicht: |
München
2020
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis Inhaltsverzeichnis |
| Beschreibung: | V, 173 Seiten Illustrationen 21 cm 1 CD-ROM (12 cm) |
Internformat
MARC
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| 245 | 1 | 0 | |a Demand modeling and pricing strategies for shared autonomous (electric) vehicle systems in German and American cities |c Lisa Kißmer |
| 264 | 1 | |a München |c 2020 | |
| 300 | |a V, 173 Seiten |b Illustrationen |c 21 cm |e 1 CD-ROM (12 cm) | ||
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Datensatz im Suchindex
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| adam_text | C
ONTENTS
1.
INTRODUCTION
..............................................................................................................................
1
1.1
RESEARCH
CONTEXT
..............................................................................................................
1
1.2
RESEARCH
OBJECTIVES
AND
METHODOLOGY
..........................................................................
2
1.3
OUTLINE
OF
THE
DISSERTATION
...............................................................................................
6
2.
STATE
OF
THE
ART
.........................................................................................................................
7
2.1
ON-DEMAND
MOBILITY
......................................................................................................
7
2.1.1
HISTORICAL
DEVELOPMENT
AND
TYPES
OF
ON-DEMAND
MOBILITY
.................................
7
2.1.2
MARKET
ANALYSIS
........................................................................................................
9
2.2
SA(E)V
USER
ACCEPTANCE
STUDIES
AND
PRICE
MODELING
..............................................
11
2.3
SA(E)V
DEMAND
MODELING
...........................................................................................
12
2.3.1
DEMAND
PREDICTION
MODELING
................................................................................
12
2.3.2
CHOICE
MODELING
....................................................................................................
15
2.4
RESEARCH
GAPS
................................................................................................................
17
PART
I:
MOBILITY
DEMAND
MODELING
IN
AUTONOMOUS
DRIVING
3.
SA(E)V
DEMAND
STUDY
.........................................................................................................
20
3.1
PRE-STUDY
........................................................................................................................20
3.1.1
RESEARCH
OBJECTIVES
AND
DESIGN
...........................................................................
20
3.1.2
RESULTS
....................................................................................................................
22
3.1.3
CONCLUSION
..............................................................................................................
27
3.2
RESEARCH
DESIGN
OF
SA(E)V
DEMAND
STUDY
...............................................................27
3.2.1
RESEARCH
OBJECTIVES
AND
DESIGN
............................................................................
27
3.2.2
SURVEY
DESIGN
AND
DATA
COLLECTION
......................................................................
28
3.3
CONJOINT
ANALYSIS
..........................................................................................................
30
3.3.1
THEORY
.....................................................................................................................
30
3.3.2
DEVELOPMENT
OF
CBC
DESIGN
................................................................................
31
3.4
RESULTS
OF
QUESTIONNAIRE
................................................................................................
35
3.4.1
SOCIO-DEMOGRAPHIC
CHARACTERISTICS
......................................................................
35
3.4.2
CURRENT
AND
FUTURE
MOBILITY
CHARACTERISTICS
........................................................
36
3.5
PREFERENCE
ANALYSIS
.......................................................................................................44
3.5.1
FUTURE
CHOICE
OF
MOBILITY
.....................................................................................
44
3.5.2
DISCUSSION
..............................................................................................................
50
3.6
DEMAND
SIMULATION
.......................................................................................................
51
III
3.6.1
PAV
MARKET
INTRODUCTION
.......................................................................................
52
3.6.2
SA(E)V
MARKET
INTRODUCTION
.................................................................................
56
3.6.3
ALL
MODES
OF
TRANSPORTATION
..................................................................................
59
3.7
CONCLUSION
......................................................................................................................
63
PART
II:
PRICE
MODELING
OF
SA(E)V
SYSTEMS
4.
SA(E)V
PRICE
STUDY
..............................................................................................................
66
4.1
PRE-STUDY
.........................................................................................................................
66
4.1.1
RESEARCH
OBJECTIVES
AND
DESIGN
............................................................................
66
4.1.2
RESULTS
......................................................................................................................
70
4.1.3
CONCLUSION
...............................................................................................................
73
4.2
RESEARCH
DESIGN
OF
SA(E)V
STUDY
................................................................................
74
4.3
RESULTS
AND
DISCUSSION
...................................................................................................
79
4.4
PRICE
MODELING
...............................................................................................................
91
4.4.1
SIMULATION
FRAMEWORK
AND
MODELING
APPROACH
....................................................
91
4.4.2
SA(E)V
PRICE
FUNCTIONS
.........................................................................................
94
4.4.3
PRICE
ELASTICITIES
......................................................................................................
96
4.5
SA(E)V
USER
SEGMENTATION
...........................................................................................
97
4.6
CONCLUSION
.....................................................................................................................
100
PART
III:
SA(E)V
FLEET
DEMAND
PREDICTION
-
THE
CASE
OF
SEATTLE
5.
SA(E)V
DEMAND
MODELING
.................................................................................................
102
5.1
EMPIRICAL
DATA
ANALYSIS
................................................................................................
102
5.1.1
DATA
DESCRIPTION
....................................................................................................
102
5.1.2
DATA
ANALYSIS
.........................................................................................................
106
5.1.3
CONCLUSION
..............................................................................................................
114
5.2
TIMES
SERIES
ANALYSIS
..................................................................................................
114
5.2.1
THEORY
....................................................................................................................
114
5.2.2
APPLICATION
OF
TIMES
SERIES
ANALYSIS
................................................................
119
5.2.3
CONCLUSION
..............................................................................................................
125
5.3
DEMAND
PREDICTION
MODEL
I
.........................................................................................
126
5.3.1
IDENTIFICATION
OF
INFLUENCING
FACTORS
....................................................................
126
5.3.2
DEVELOPMENT
AND
VALIDATION
OF
THE
MODEL
.........................................................
129
5.3.3
CONCLUSION
..............................................................................................................
139
5.4
SA(E)V
MODEL
...............................................................................................................
140
IV
5.4.1
APPROACH
AND
THEORY
...........................................................................................
140
5.4.2
DEVELOPMENT
OF
THE
MODEL
...................................................................................
143
5.4.3
RESULTS
AND
DISCUSSION
.........................................................................................
145
5.5
SA(E)V
FORECAST
...........................................................................................................
148
5.5.1
APPROACH
AND
DEFINITION
OF
SCENARIOS
.................................................................
148
5.5.2
RESULTS
AND
DISCUSSION
.........................................................................................
149
5.5.3
CONCLUSION
.............................................................................................................
151
6.
CONCLUSION
AND
FUTURE
RESEARCH
........................................................................................
153
REFERENCES
...................................................................................................................................
156
LIST
OF
FIGURES
............................................................................................................................
168
LIST
OF
TABLES
...............................................................................................................................
171
APPENDICES
..................................................................................................................................
173
V
|
| adam_txt |
C
ONTENTS
1.
INTRODUCTION
.
1
1.1
RESEARCH
CONTEXT
.
1
1.2
RESEARCH
OBJECTIVES
AND
METHODOLOGY
.
2
1.3
OUTLINE
OF
THE
DISSERTATION
.
6
2.
STATE
OF
THE
ART
.
7
2.1
ON-DEMAND
MOBILITY
.
7
2.1.1
HISTORICAL
DEVELOPMENT
AND
TYPES
OF
ON-DEMAND
MOBILITY
.
7
2.1.2
MARKET
ANALYSIS
.
9
2.2
SA(E)V
USER
ACCEPTANCE
STUDIES
AND
PRICE
MODELING
.
11
2.3
SA(E)V
DEMAND
MODELING
.
12
2.3.1
DEMAND
PREDICTION
MODELING
.
12
2.3.2
CHOICE
MODELING
.
15
2.4
RESEARCH
GAPS
.
17
PART
I:
MOBILITY
DEMAND
MODELING
IN
AUTONOMOUS
DRIVING
3.
SA(E)V
DEMAND
STUDY
.
20
3.1
PRE-STUDY
.20
3.1.1
RESEARCH
OBJECTIVES
AND
DESIGN
.
20
3.1.2
RESULTS
.
22
3.1.3
CONCLUSION
.
27
3.2
RESEARCH
DESIGN
OF
SA(E)V
DEMAND
STUDY
.27
3.2.1
RESEARCH
OBJECTIVES
AND
DESIGN
.
27
3.2.2
SURVEY
DESIGN
AND
DATA
COLLECTION
.
28
3.3
CONJOINT
ANALYSIS
.
30
3.3.1
THEORY
.
30
3.3.2
DEVELOPMENT
OF
CBC
DESIGN
.
31
3.4
RESULTS
OF
QUESTIONNAIRE
.
35
3.4.1
SOCIO-DEMOGRAPHIC
CHARACTERISTICS
.
35
3.4.2
CURRENT
AND
FUTURE
MOBILITY
CHARACTERISTICS
.
36
3.5
PREFERENCE
ANALYSIS
.44
3.5.1
FUTURE
CHOICE
OF
MOBILITY
.
44
3.5.2
DISCUSSION
.
50
3.6
DEMAND
SIMULATION
.
51
III
3.6.1
PAV
MARKET
INTRODUCTION
.
52
3.6.2
SA(E)V
MARKET
INTRODUCTION
.
56
3.6.3
ALL
MODES
OF
TRANSPORTATION
.
59
3.7
CONCLUSION
.
63
PART
II:
PRICE
MODELING
OF
SA(E)V
SYSTEMS
4.
SA(E)V
PRICE
STUDY
.
66
4.1
PRE-STUDY
.
66
4.1.1
RESEARCH
OBJECTIVES
AND
DESIGN
.
66
4.1.2
RESULTS
.
70
4.1.3
CONCLUSION
.
73
4.2
RESEARCH
DESIGN
OF
SA(E)V
STUDY
.
74
4.3
RESULTS
AND
DISCUSSION
.
79
4.4
PRICE
MODELING
.
91
4.4.1
SIMULATION
FRAMEWORK
AND
MODELING
APPROACH
.
91
4.4.2
SA(E)V
PRICE
FUNCTIONS
.
94
4.4.3
PRICE
ELASTICITIES
.
96
4.5
SA(E)V
USER
SEGMENTATION
.
97
4.6
CONCLUSION
.
100
PART
III:
SA(E)V
FLEET
DEMAND
PREDICTION
-
THE
CASE
OF
SEATTLE
5.
SA(E)V
DEMAND
MODELING
.
102
5.1
EMPIRICAL
DATA
ANALYSIS
.
102
5.1.1
DATA
DESCRIPTION
.
102
5.1.2
DATA
ANALYSIS
.
106
5.1.3
CONCLUSION
.
114
5.2
TIMES
SERIES
ANALYSIS
.
114
5.2.1
THEORY
.
114
5.2.2
APPLICATION
OF
TIMES
SERIES
ANALYSIS
.
119
5.2.3
CONCLUSION
.
125
5.3
DEMAND
PREDICTION
MODEL
I
.
126
5.3.1
IDENTIFICATION
OF
INFLUENCING
FACTORS
.
126
5.3.2
DEVELOPMENT
AND
VALIDATION
OF
THE
MODEL
.
129
5.3.3
CONCLUSION
.
139
5.4
SA(E)V
MODEL
.
140
IV
5.4.1
APPROACH
AND
THEORY
.
140
5.4.2
DEVELOPMENT
OF
THE
MODEL
.
143
5.4.3
RESULTS
AND
DISCUSSION
.
145
5.5
SA(E)V
FORECAST
.
148
5.5.1
APPROACH
AND
DEFINITION
OF
SCENARIOS
.
148
5.5.2
RESULTS
AND
DISCUSSION
.
149
5.5.3
CONCLUSION
.
151
6.
CONCLUSION
AND
FUTURE
RESEARCH
.
153
REFERENCES
.
156
LIST
OF
FIGURES
.
168
LIST
OF
TABLES
.
171
APPENDICES
.
173
V |
| any_adam_object | 1 |
| any_adam_object_boolean | 1 |
| author | Kißmer, Lisa |
| author_GND | (DE-588)1221641271 |
| author_facet | Kißmer, Lisa |
| author_role | aut |
| author_sort | Kißmer, Lisa |
| author_variant | l k lk |
| building | Verbundindex |
| bvnumber | BV047002045 |
| ctrlnum | (OCoLC)1224012924 (DE-599)DNB1220738921 |
| format | Thesis Book |
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| genre | (DE-588)4113937-9 Hochschulschrift gnd-content |
| genre_facet | Hochschulschrift |
| geographic | USA (DE-588)4078704-7 gnd Deutschland (DE-588)4011882-4 gnd |
| geographic_facet | USA Deutschland |
| id | DE-604.BV047002045 |
| illustrated | Illustrated |
| index_date | 2024-07-03T15:57:18Z |
| indexdate | 2024-07-10T08:59:49Z |
| institution | BVB |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032409642 |
| oclc_num | 1224012924 |
| open_access_boolean | |
| owner | DE-706 DE-12 |
| owner_facet | DE-706 DE-12 |
| physical | V, 173 Seiten Illustrationen 21 cm 1 CD-ROM (12 cm) |
| publishDate | 2020 |
| publishDateSearch | 2020 |
| publishDateSort | 2020 |
| record_format | marc |
| spelling | Kißmer, Lisa Verfasser (DE-588)1221641271 aut Demand modeling and pricing strategies for shared autonomous (electric) vehicle systems in German and American cities Lisa Kißmer München 2020 V, 173 Seiten Illustrationen 21 cm 1 CD-ROM (12 cm) txt rdacontent n rdamedia nc rdacarrier Dissertation Universität der Bundeswehr München 2020 Nachfrage (DE-588)4041036-5 gnd rswk-swf Preisstruktur (DE-588)4175632-0 gnd rswk-swf Carsharing (DE-588)4326831-6 gnd rswk-swf Autonomes Fahrzeug (DE-588)7714938-5 gnd rswk-swf Elektrofahrzeug (DE-588)4151795-7 gnd rswk-swf Stadt (DE-588)4056723-0 gnd rswk-swf USA (DE-588)4078704-7 gnd rswk-swf Deutschland (DE-588)4011882-4 gnd rswk-swf (DE-588)4113937-9 Hochschulschrift gnd-content Deutschland (DE-588)4011882-4 g USA (DE-588)4078704-7 g Stadt (DE-588)4056723-0 s Elektrofahrzeug (DE-588)4151795-7 s Preisstruktur (DE-588)4175632-0 s Autonomes Fahrzeug (DE-588)7714938-5 s Nachfrage (DE-588)4041036-5 s Carsharing (DE-588)4326831-6 s DE-604 B:DE-101 application/pdf https://d-nb.info/1220738921/04 Inhaltsverzeichnis DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=032409642&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis 1\p dnb 20201111 DE-101 https://d-nb.info/provenance/plan#dnb |
| spellingShingle | Kißmer, Lisa Demand modeling and pricing strategies for shared autonomous (electric) vehicle systems in German and American cities Nachfrage (DE-588)4041036-5 gnd Preisstruktur (DE-588)4175632-0 gnd Carsharing (DE-588)4326831-6 gnd Autonomes Fahrzeug (DE-588)7714938-5 gnd Elektrofahrzeug (DE-588)4151795-7 gnd Stadt (DE-588)4056723-0 gnd |
| subject_GND | (DE-588)4041036-5 (DE-588)4175632-0 (DE-588)4326831-6 (DE-588)7714938-5 (DE-588)4151795-7 (DE-588)4056723-0 (DE-588)4078704-7 (DE-588)4011882-4 (DE-588)4113937-9 |
| title | Demand modeling and pricing strategies for shared autonomous (electric) vehicle systems in German and American cities |
| title_auth | Demand modeling and pricing strategies for shared autonomous (electric) vehicle systems in German and American cities |
| title_exact_search | Demand modeling and pricing strategies for shared autonomous (electric) vehicle systems in German and American cities |
| title_exact_search_txtP | Demand modeling and pricing strategies for shared autonomous (electric) vehicle systems in German and American cities |
| title_full | Demand modeling and pricing strategies for shared autonomous (electric) vehicle systems in German and American cities Lisa Kißmer |
| title_fullStr | Demand modeling and pricing strategies for shared autonomous (electric) vehicle systems in German and American cities Lisa Kißmer |
| title_full_unstemmed | Demand modeling and pricing strategies for shared autonomous (electric) vehicle systems in German and American cities Lisa Kißmer |
| title_short | Demand modeling and pricing strategies for shared autonomous (electric) vehicle systems in German and American cities |
| title_sort | demand modeling and pricing strategies for shared autonomous electric vehicle systems in german and american cities |
| topic | Nachfrage (DE-588)4041036-5 gnd Preisstruktur (DE-588)4175632-0 gnd Carsharing (DE-588)4326831-6 gnd Autonomes Fahrzeug (DE-588)7714938-5 gnd Elektrofahrzeug (DE-588)4151795-7 gnd Stadt (DE-588)4056723-0 gnd |
| topic_facet | Nachfrage Preisstruktur Carsharing Autonomes Fahrzeug Elektrofahrzeug Stadt USA Deutschland Hochschulschrift |
| url | https://d-nb.info/1220738921/04 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=032409642&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT kißmerlisa demandmodelingandpricingstrategiesforsharedautonomouselectricvehiclesystemsingermanandamericancities |
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