Information and pricing in road transportation: with 16 tables
Gespeichert in:
1. Verfasser: | |
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Format: | Buch |
Sprache: | English |
Veröffentlicht: |
Berlin [u.a.]
Springer
1998
|
Schriftenreihe: | Advances in spatial science
|
Schlagworte: | |
Online-Zugang: | Inhaltsverzeichnis |
Beschreibung: | Literaturverz. S. 279 - 288 |
Beschreibung: | XIV, 294 S. graph. Darst. |
ISBN: | 3540640886 |
Internformat
MARC
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245 | 1 | 0 | |a Information and pricing in road transportation |b with 16 tables |c Richard H. M. Emmerink |
264 | 1 | |a Berlin [u.a.] |b Springer |c 1998 | |
300 | |a XIV, 294 S. |b graph. Darst. | ||
336 | |b txt |2 rdacontent | ||
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490 | 0 | |a Advances in spatial science | |
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650 | 4 | |a Roads -- Finance | |
650 | 4 | |a Congestion pricing | |
650 | 4 | |a Transportation | |
650 | 4 | |a Transportation and state | |
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Datensatz im Suchindex
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adam_text | TABLE OF CONTENTS
PARTI INTRODUCTION
1 Introduction 3
1.1 Prologue 3
1.2 Motorist information systems and road pricing 4
1.3 Objective of the book 5
1.4 Outline of the book 6
2 Motorist information systems: An introduction 9
2.1 Introduction 9
2.2 Benefits from motorist information systems 11
2.3 Possible adverse effects of motorist information systems 13
2.4 Wardrop s principles and motorist information systems 16
2.5 The relationship between concentration, overreaction, market penetration
and Wardrop s principles 19
2.6 External effects and motorist information systems 22
2.7 Traffic generating properties of motorist information systems 27
2.8 The level of market penetration 28
2.9 The case of non recurrent congestion 31
2.10 Motorist information systems as a tool for achieving government s
objectives 32
2.11 Conclusion 33
3 Road pricing: An introduction 35
3.1 Introduction 35
3.2 The theory: First best? 35
3.3 Congestion pricing: Pros and cons 40
3.4 Behavioural responses towards congestion pricing 46
3.5 Implementing congestion pricing 50
3.6 The Dutch failure to implement congestion pricing 54
3.7 Conclusion 56
viii Table of contents
4 A stochastic route choice framework 58
4.1 Introduction 58
4.2 Perception and uncertainty in user equilibrium models: Relation to motorist
information systems 59
4.3 A route choice model with stochastic travel costs and driver information . . 61
4.4 An extension of the route choice model: Costs of uncertainty 64
4.5 Conclusion 65
App.4.A An introduction to the bottleneck model 66
PART II THEORETICAL MODELS
5 Welfare economic analysis of motorist information in a one route
network 73
5.1 Introduction 73
5.2 One link stochastic network deterministic user equilibrium model 74
5.3 Efficiency and equity issues of information 81
5.4 Conclusion 89
App.5.A Proof of Proposition 5.1 91
6 Welfare economic analysis of motorist information in a two route
network 94
6.1 Introduction 94
6.2 Some definitions 94
6.3 Two route stochastic network deterministic user equilibrium model 95
6.4 Model experiments 101
6.5 Conclusion 105
App.6.Al Proof of Proposition 6.1 106
App.6.A2 Proof of Proposition 6.2 110
7 Endogenous demand for motorist information Ill
7.1 Introduction Ill
7.2 SNDUE model with endogenous demand for information Ill
7.3 Regulatory issues 117
7.4 Conclusion 123
App.7.Al Proof of Proposition 7.1 125
App.7.A2 Derivation of Figure 7.3 127
8 Including the costs of uncertainty 128
8.1 Introduction 128
8.2 SNDUE models with costs of uncertainty 128
8.3 Information provision and system optimal behaviour 139
8.4 Conclusion 144
App.8.Al Proof of Proposition 8.1 146
App.8.A2 Proof of Proposition 8.2 148
App.8.A3 Proof of Proposition 8.3 152
Table of contents ix
9 Motorist information in networks with multiple OD pairs 154
9.1 Introduction 154
9.2 The network structure 154
9.3 The models 156
9.4 Model experiments 160
9.5 Conclusion 172
10 Simultaneous congestion pricing and information provision 173
10.1 Introduction 173
10.2 Five regulatory regimes 174
10.3 Optimal congestion pricing under various regulatory regimes 175
10.4 The relative performance of the various regulatory regimes 177
10.5 Conclusion 183
PART III SIMULATION MODELS
11 Simulation modelling: Recurrent congestion 187
11.1 Introduction 187
11.2 Four different types of information provision 188
11.3 Behavioural models 189
11.4 Simulation framework 195
11.5 Results of simulation experiments 201
11.6 Conclusion 212
12 Simulation modelling: Non recurrent congestion 214
12.1 Introduction 214
12.2 Recurrent versus non recurrent congestion 216
12.3 Information accuracy 217
12.4 The model 219
12.5 Model parameters 220
12.6 Results of the simulation experiments 222
12.7 Conclusion 230
PART IV EMPIRICAL MODELS
13 Radio traffic and variable message sign information; An empirical
analysis 235
13.1 Introduction 235
13.2 The literature 236
13.3 The Amsterdam survey 237
13.4 The analysis 240
13.5 Conclusion 255
x Table of contents
14 Empirical analysis of the work schedule flexibility 257
14.1 Introduction 257
14.2 The data 258
14.3 Analysis of the work start time 259
14.4 Implications for road pricing and motorist information systems 268
14.5 Conclusion 269
PART V CONCLUSIONS
15 Summary, conclusions and future research directions 273
15.1 Summary 273
15.2 Conclusions 276
15.3 Future research directions 277
References 279
Subject index 289
Author index 291
LIST OF FIGURES
Figure 1.1 Structure of the book 7
Figure 2.1 Network performance as a function of market penetration. ... 12
Figure 2.2 Predictive information and drivers responses 17
Figure 2.3 Iterative procedure for calculating perfect predictive
information 18
Figure 2.4 Travel time as a function of market penetration 24
Figure 2.5 Information benefits to equipped drivers. Case 1 24
Figure 2.6 Information benefits to equipped drivers. Case 2 24
Figure 2.7 Relationship between quality of information and level of market
penetration. Information collected via equipped drivers 27
Figure 2.8 Relationship between quality of information and level of market
penetration. Information collected via loop detectors in the road. 27
Figure 2.9 Market potential of motorist information system for two
marginal cost curves (A and B) 30
Figure 3.1 Traditional diagram of congestion pricing with linear curves. . 38
Figure 3.2 Congestion prices: Based on prevailing or predicted
levels of congestion? 39
Figure 3.3 Compensation effects of congestion pricing 48
Figure 4A. 1 Standard diagram of bottleneck model 68
Figure 5.1 Graphical illustration of equilibrium model with informed
and uninformed individuals 77
Figure 5.2 Welfare effects for x travellers 82
Figure 5.3 Expected net private benefits for x (informed) and
y (uninformed) travellers 84
Figure 5.4 Welfare effects for y travellers 85
Figure 5.5 Impacts of probability of low capacity on co 87
Figure 5.6 Impact of demand elasticity on co 88
Figure 5.7 Impact of market penetration on co 89
Figure 6.1 Example of an increase in welfare due to route switching
by an informed road user 101
Figure 6.2 Expected travel costs as a function of the expected
number of informed drivers 102
Figure 6.3 Expected saving in travel costs as a function of the
expected number of informed drivers 103
Figure 6.4 Relative welfare improvement as a function of the
expected number of informed drivers 104
Figure 6A. 1 Expected usage declines both for group y and for group x
when perfect information is taken away from group x 109
xii List of figures
Figure 7.1 Welfare effects of information 112
Figure 7.2 Difference in expected net private benefits of the model
with endogenous demand for information and the model
in which no information is available 115
Figure 7.3 Welfare effects of endogenous information 116
Figure 7.4 The relationship between the price of information,
subsidising information, and expected welfare 119
Figure 7.5 Relationship between the price of information and welfare. . 123
Figure 8.1 Model N and I: Case Nj NN N°, 132
Figure 8.2 Model N and I: Case NN Nj N? 133
Figure 8.3 Expected network travel costs in model N and P 135
Figure 8.4 Relative welfare improvement as a function of the
value of uncertainty (6) 143
Figure 8.5 Relative welfare improvement as a function of the
absolute value of the slope of the demand function 144
Figure 9.1 Network structure 155
Figure 9.2 Expected net welfare gain due to information provision
to x travellers as a function of the capacity shock
bj b? (Model Px Model N); b2=0.015 161
Figure 9.3 Expected net welfare gain due to information provision
to x travellers as a function of the capacity shock
bj b? (Model Px Model N); b2=0.03 162
Figure 9.4 Expected net welfare gain due to information provision
to x travellers as a function of b2 (Model Px Model N). . . . 163
Figure 9.5 Expected net welfare gain due to information to
y travellers as a function of the capacity shock
bj b? (Model Px+y Model Px); b2=0.015 164
Figure 9.6 Expected net welfare gain due to information to
y travellers as a function of the capacity shock
bj b? (Model Px+y Model Px); b2=0.03 165
Figure 9.7 Expected net welfare gain due to information to
y travellers as a function of b2 (Model Px+y Model PJ. ... 166
Figure 9.8 Expected net welfare gain due to information provision
to x travellers as a function of b3
(Model Px Model N); b2=0.02 168
Figure 9.9 Expected net welfare gain due to information provision
to x travellers as a function of b3
(Model Px Modef N); b2=0.04 169
Figure 9.10 Expected net welfare gain due to information provision
to y travellers as a function of b3
(Model Px+y Model Px); b2=0.02 170
Figure 9.11 Expected net welfare gain due to information provision
to y travellers as a function of b3
(Model Px+y Model Px); b2=0.04 171
Figure 10.1 Varying probabilities of cost shocks: indices of relative welfare
improvement 179
List of figures xiii
Figure 10.2 Varying congestion cost parameter volatility: indices of
relative welfare improvement 180
Figure 10.3 Varying demand characteristics with cost shocks: indices of
relative welfare improvement 181
Figure 10.4 Varying demand characteristics with cost shocks and a
free flow cost differential: indices of relative welfare
improvement 182
Figure 10.5 Varying probabilities of cost shocks: flat fees and
expected fine fees 182
Figure 11.1 Road network used in simulation experiments 197
Figure 11.2 Departure time structure 198
Figure 11.3 Flow of control in simulation model 200
Figure 11.4 Evolution of daily average travel time during a
simulation run. K0=8, bound=0 202
Figure 11.5 Travel time as a percentage of the travel time under
the model with bound=0 for three levels of congestion 203
Figure 11.6 Number of routes used for models with different bounds
and three levels of congestion 204
Figure 11.7 Number of periods till steady state is reached for models
with different bounds and three levels of congestion 204
Figure 11.8 Evolution of drivers switching propensity under model
with different bounds and congestion level K0=8 205
Figure 11.9 Travel times compared to no information case. K0=5 207
Figure 11.10 Travel times compared to no information case. K0=8 207
Figure 11.11 Travel times compared to no information case. K0=12 208
Figure 11.12 Average daily travel times for drivers with and without
information. K0=5, level of market penetration is 5% 208
Figure 11.13 Daily travel time pattern for no and full market penetration.
K0=8 209
Figure 11.14 Travel times compared to no information case. K0=5 210
Figure 11.15 Travel times compared to no information case. K0=8 210
Figure 11.16 Travel times compared to no information case. K0=12 211
Figure 12.1 Transport system without shocks 216
Figure 12.2 Transport system with shocks 217
Figure 12.3 From information detection to information provision 218
Figure 12.4 Updating time and delay. Three cases 219
Figure 12.5 Departure time structure 220
Figure 12.6 Daily network wide travel time for 1 run. upd=l, p=0.19,
en_route_bound=0.05 224
Figure 12.7 Benefits for different groups of drivers. upd=l, p=0.19,
en_route_bound=0.05 224
Figure 12.8 Network wide performance as a function of market
penetration for three updating times 226
Figure 12.9 Effects of information for six incident rates.
upd=l, en_route_bound=0.05 227
Figure 12.10 Effects of information for three incident rates.
xiv List of figures
upd=10, en_route_bound=0.05 227
Figure 12.11 Dependency between updating frequency and incident
rates. 50% market penetration, en_route_bound=0.05 228
Figure 12.12 Effects of en_route_bound on network wide performance.
upd=l, p=0.19 229
Figure 12.13 Effects of enroutebound on network wide performance.
upd=10, p=0.19 229
Figure 12.14 Network wide performance in relation to switching
propensity, market penetration and information quality 230
Figure 13.1 Major road network of the Amsterdam region 238
Figure 13.2 Outline of the empirical analysis 241
Figure 14.1 Work start time intervals 263
LIST OF TABLES
Table 3.1 Assessment of the attractiveness of different types of
congestion pricing 52
Table 4.1 Combination of features of network and individual
characteristics 60
Table 11.1 Information provision types 188
Table 11.2 Three levels of network capacity 198
Table 12.1 Model parameters 222
Table 12.2 Experimental design of simulation experiments 222
Table 13.1 Survey characteristics 240
Table 13.2 Reference group of dummy variables 243
Table 13.3 Estimation results of listening propensity to radio traffic
information and route choice influence due to radio traffic
information: Two ordered probit models 244
Table 13.4 Estimation results of route choice influence due to RIA traffic
information: Ordered probit model. Estimation results of
satisfaction with alternative route: Multiple logit model. . . . 247
Table 13.5 Bivariate ordered probit model of route choice adaptations
due to radio traffic information and RIA traffic information . 251
Table 13.6 Bivariate ordered probit models of willingness to pay for
in vehicle RIA traffic information and listening propensity to
radio traffic information 254
Table 14.1 Survey characteristics 259
Table 14.2 Tobit estimation results of work flexibility intervals, first,
second and third column. Logit estimation of satisfaction,
fourth column 261
Table 14.3 Results of indifferent and intolerable work start time
intervals during the morning peak hours 265
Table 14.4 Workers restrictions preventing them from having more
flexible work start times during the peak hours 266
|
any_adam_object | 1 |
author | Emmerink, Richard H. M. 1970- |
author_GND | (DE-588)120125102 |
author_facet | Emmerink, Richard H. M. 1970- |
author_role | aut |
author_sort | Emmerink, Richard H. M. 1970- |
author_variant | r h m e rhm rhme |
building | Verbundindex |
bvnumber | BV011949641 |
callnumber-first | H - Social Science |
callnumber-label | HE336 |
callnumber-raw | HE336.E3E35 1998 |
callnumber-search | HE336.E3E35 1998 |
callnumber-sort | HE 3336 E3 E35 41998 |
callnumber-subject | HE - Transportation and Communications |
classification_rvk | QR 850 |
ctrlnum | (OCoLC)237319652 (DE-599)BVBBV011949641 |
dewey-full | 388.1/1 388.1/121 |
dewey-hundreds | 300 - Social sciences |
dewey-ones | 388 - Transportation |
dewey-raw | 388.1/1 388.1/1 21 |
dewey-search | 388.1/1 388.1/1 21 |
dewey-sort | 3388.1 11 |
dewey-tens | 380 - Commerce, communications, transportation |
discipline | Wirtschaftswissenschaften |
format | Book |
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id | DE-604.BV011949641 |
illustrated | Illustrated |
indexdate | 2024-07-09T18:19:02Z |
institution | BVB |
isbn | 3540640886 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-008079096 |
oclc_num | 237319652 |
open_access_boolean | |
owner | DE-355 DE-BY-UBR DE-12 DE-706 DE-521 DE-526 DE-83 |
owner_facet | DE-355 DE-BY-UBR DE-12 DE-706 DE-521 DE-526 DE-83 |
physical | XIV, 294 S. graph. Darst. |
publishDate | 1998 |
publishDateSearch | 1998 |
publishDateSort | 1998 |
publisher | Springer |
record_format | marc |
series2 | Advances in spatial science |
spelling | Emmerink, Richard H. M. 1970- Verfasser (DE-588)120125102 aut Information and pricing in road transportation with 16 tables Richard H. M. Emmerink Berlin [u.a.] Springer 1998 XIV, 294 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Advances in spatial science Literaturverz. S. 279 - 288 sistema d'informazione (informatica) - tariffa - trasporto stradale tessin-TR Roads -- Finance Congestion pricing Transportation Transportation and state Straßenverkehr (DE-588)4057931-1 gnd rswk-swf Verkehrsinformation (DE-588)4467581-1 gnd rswk-swf Straßenbenutzungsgebühr (DE-588)4206779-0 gnd rswk-swf Kosten-Nutzen-Analyse (DE-588)4032589-1 gnd rswk-swf Straßengüterverkehr (DE-588)4183580-3 gnd rswk-swf Straßenverkehr (DE-588)4057931-1 s Verkehrsinformation (DE-588)4467581-1 s Straßenbenutzungsgebühr (DE-588)4206779-0 s Kosten-Nutzen-Analyse (DE-588)4032589-1 s DE-604 Straßengüterverkehr (DE-588)4183580-3 s HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=008079096&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
spellingShingle | Emmerink, Richard H. M. 1970- Information and pricing in road transportation with 16 tables sistema d'informazione (informatica) - tariffa - trasporto stradale tessin-TR Roads -- Finance Congestion pricing Transportation Transportation and state Straßenverkehr (DE-588)4057931-1 gnd Verkehrsinformation (DE-588)4467581-1 gnd Straßenbenutzungsgebühr (DE-588)4206779-0 gnd Kosten-Nutzen-Analyse (DE-588)4032589-1 gnd Straßengüterverkehr (DE-588)4183580-3 gnd |
subject_GND | (DE-588)4057931-1 (DE-588)4467581-1 (DE-588)4206779-0 (DE-588)4032589-1 (DE-588)4183580-3 |
title | Information and pricing in road transportation with 16 tables |
title_auth | Information and pricing in road transportation with 16 tables |
title_exact_search | Information and pricing in road transportation with 16 tables |
title_full | Information and pricing in road transportation with 16 tables Richard H. M. Emmerink |
title_fullStr | Information and pricing in road transportation with 16 tables Richard H. M. Emmerink |
title_full_unstemmed | Information and pricing in road transportation with 16 tables Richard H. M. Emmerink |
title_short | Information and pricing in road transportation |
title_sort | information and pricing in road transportation with 16 tables |
title_sub | with 16 tables |
topic | sistema d'informazione (informatica) - tariffa - trasporto stradale tessin-TR Roads -- Finance Congestion pricing Transportation Transportation and state Straßenverkehr (DE-588)4057931-1 gnd Verkehrsinformation (DE-588)4467581-1 gnd Straßenbenutzungsgebühr (DE-588)4206779-0 gnd Kosten-Nutzen-Analyse (DE-588)4032589-1 gnd Straßengüterverkehr (DE-588)4183580-3 gnd |
topic_facet | sistema d'informazione (informatica) - tariffa - trasporto stradale Roads -- Finance Congestion pricing Transportation Transportation and state Straßenverkehr Verkehrsinformation Straßenbenutzungsgebühr Kosten-Nutzen-Analyse Straßengüterverkehr |
url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=008079096&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
work_keys_str_mv | AT emmerinkrichardhm informationandpricinginroadtransportationwith16tables |