Preface |
|
v | |
|
1 An Overview on Opportunities and Challenges of Smart Card Data Analysis |
|
|
1 | (14) |
|
|
1 | (1) |
|
2 Smart Card Systems and Data Features |
|
|
2 | (3) |
|
|
5 | (2) |
|
4 Categorization of Potential Analysis using Smart Card Data |
|
|
7 | (2) |
|
5 Book Overview, What is Missing and Conclusion |
|
|
9 | (2) |
|
|
11 | (1) |
|
|
11 | (4) |
|
Part 1 Estimating Passenger Behavior |
|
|
|
2 Transit Origin-Destination Estimation |
|
|
15 | (22) |
|
|
15 | (2) |
|
|
17 | (1) |
|
3 Inference of Destinations |
|
|
18 | (6) |
|
|
24 | (1) |
|
5 Journey and Tour Pattern Analysis |
|
|
25 | (4) |
|
6 Areas for Future Research |
|
|
29 | (1) |
|
|
30 | (5) |
|
|
35 | (2) |
|
3 Destination and Activity Estimation |
|
|
37 | (18) |
|
1 Smart Card Use in Trip Destination and Activity Estimation |
|
|
38 | (1) |
|
2 Smart Card Data Structure in Seoul |
|
|
39 | (2) |
|
3 Methodology for Trip Destination Estimation |
|
|
41 | (2) |
|
4 Trip Purpose Imputation using Household Travel Survey |
|
|
43 | (5) |
|
|
48 | (2) |
|
6 Illustration of Results with MATSim |
|
|
50 | (1) |
|
|
51 | (1) |
|
|
52 | (1) |
|
|
53 | (2) |
|
4 Modelling Travel Choices on Public Transport Systems with Smart Card Data |
|
|
55 | (18) |
|
|
55 | (1) |
|
|
56 | (3) |
|
3 Modelling Behaviour with Smart Card Data |
|
|
59 | (4) |
|
4 Case Study: Santiago, Chile |
|
|
63 | (5) |
|
|
68 | (1) |
|
|
68 | (1) |
|
|
68 | (2) |
|
|
70 | (3) |
|
Part 2 Combining Smart Card Data with other Databases |
|
|
|
5 Combination of Smart Card Data with Person Trip Survey Data |
|
|
73 | (20) |
|
|
73 | (4) |
|
|
77 | (5) |
|
|
82 | (8) |
|
|
90 | (1) |
|
|
91 | (1) |
|
|
92 | (1) |
|
6 A Method for Conducting Before-After Analyses of Transit Use by Linking Smart Card Data and Survey Responses |
|
|
93 | (20) |
|
|
94 | (1) |
|
|
94 | (2) |
|
|
96 | (1) |
|
|
96 | (3) |
|
|
99 | (4) |
|
6 Evaluation of the Intervention |
|
|
103 | (5) |
|
7 Areas for Improvement and Future Research |
|
|
108 | (1) |
|
|
109 | (1) |
|
|
109 | (1) |
|
|
110 | (1) |
|
|
110 | (3) |
|
7 Multipurpose Smart Card Data: Case Study of Shizuoka, Japan |
|
|
113 | (20) |
|
|
113 | (2) |
|
2 Multipurpose Smart Cards |
|
|
115 | (1) |
|
3 Case Study Area and Smart Card Data Overview |
|
|
115 | (3) |
|
4 Overview of Collected Data |
|
|
118 | (1) |
|
5 Stated Preference Survey on Sensitivity to Point System |
|
|
119 | (10) |
|
|
129 | (1) |
|
|
130 | (1) |
|
|
130 | (3) |
|
8 Using Smart Card Data for Agent--Based Transport Simulation |
|
|
133 | (30) |
|
|
133 | (2) |
|
2 User Equilibrium and Public Transport in MATSim |
|
|
135 | (1) |
|
|
136 | (2) |
|
|
138 | (9) |
|
5 Validation and Performance |
|
|
147 | (7) |
|
|
154 | (3) |
|
|
157 | (1) |
|
|
158 | (1) |
|
|
158 | (1) |
|
|
159 | (4) |
|
Part 3 Smart Card Sata for Evaluation |
|
|
|
9 Smart Card Data for Wider Transport System Evaluation |
|
|
163 | (18) |
|
|
163 | (1) |
|
2 Level of Service Indicators |
|
|
164 | (2) |
|
3 Application to Santiago |
|
|
166 | (10) |
|
|
176 | (1) |
|
|
177 | (1) |
|
|
177 | (1) |
|
|
178 | (3) |
|
10 Evaluation of Bus Service Key Performance Indicators using Smart Card Data |
|
|
181 | (16) |
|
|
181 | (1) |
|
|
182 | (1) |
|
|
183 | (1) |
|
|
184 | (2) |
|
|
186 | (7) |
|
|
193 | (1) |
|
|
194 | (1) |
|
|
194 | (2) |
|
|
196 | (1) |
|
11 Ridership Evaluation and Prediction in Public Transport by Processing Smart Card Data: A Dutch Approach and Example |
|
|
197 | (28) |
|
|
197 | (2) |
|
|
199 | (4) |
|
3 Predicting Ridership by Smart Card Data |
|
|
203 | (10) |
|
4 Case Study: The Tram Network of The Hague |
|
|
213 | (6) |
|
|
219 | (2) |
|
|
221 | (1) |
|
|
221 | (2) |
|
|
223 | (2) |
|
12 Assessment of Traffic Bottlenecks at Bus Stops |
|
|
225 | (20) |
|
|
225 | (1) |
|
2 Background of this Study |
|
|
226 | (1) |
|
3 Development of Evaluation Measures |
|
|
227 | (7) |
|
4 Saitama City Case Study |
|
|
234 | (8) |
|
|
242 | (1) |
|
|
242 | (1) |
|
|
242 | (1) |
|
|
243 | (2) |
|
13 Conclusions: Opportunities Provided to Transit Organizations by Automated Data Collection Systems, Challenges and Thoughts for the Future |
|
|
245 | (18) |
|
|
246 | (1) |
|
2 Automated Data Collection Systems (ADCS) |
|
|
247 | (2) |
|
3 A Conceptual Framework for ADCS in a Transit Organization |
|
|
249 | (5) |
|
|
254 | (2) |
|
5 An Unexplored Area for Research Using Smart Card Data: Elasticities and Pricing Strategy |
|
|
256 | (3) |
|
6 Conclusions: Looking to the Future |
|
|
259 | (1) |
|
|
260 | (3) |
Index |
|
263 | |