| Description |
1 online resource |
| Contents |
Cover ; Half Title ; Title Page ; Copyright Page ; Preface ; Table of Contents; 1: An Overview on Opportunities and Challenges of Smart Card Data Analysis; 1. Introduction ; 2. Smart Card Systems and Data Features; 3. Analysis Challenges |
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4. Categorization of Potential Analysis using Smart Card Data5. Book Overview, What is Missing and Conclusion; References ; Author Biography ; Part 1: Estimating Passenger Behavior ; 2: Transit Origin-Destination Estimation; 1. Introduction |
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2. General Principles 3. Inference of Destinations; 4. O-D Matrix Methods; 5. Journey and Tour Pattern Analysis; 6. Areas for Future Research; References ; Author Biography ; 3: Destination and Activity Estimation; 1. Smart Card Use in Trip Destination and Activity Estimation; 2. Smart Card Data Structure in Seoul; 3. Methodology for Trip Destination Estimation |
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4. Trip Purpose Imputation using Household Travel Survey5. Results and Discussion; 6. Illustration of Results with MATSim; 7. Conclusion ; References ; Author Biography ; 4: Modelling Travel Choices on Public Transport Systems with Smart Card Data; 1. Introduction |
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2. Theoretical Background 3. Modelling Behaviour with Smart Card Data; 4. Case Study: Santiago, Chile ; 5. Conclusion ; Acknowledgements ; References ; Author Biography |
| Summary |
Collecting fares through "smart cards" is becoming standard in most advanced public transport networks of major cities around the world. Travellers value their convenience and operators the reduced money handling fees. Electronic tickets also make it easier to integrate fare systems, to create complex time and space differentiated fare systems, and to provide incentives to specific target groups. A less-utilised benefit is the data collected through smart cards. Records, even if anonymous, provide for a much better understanding of passengers' travel behaviour as current literature shows. This information can also be used for better service planning. Public Transport Planning with Smart Card Data handles three major topics: how passenger behaviour can be estimated using smart card data, how smart card data can be combined with other trip databases, and how the public transport service level can be better evaluated if smart card data is available. The book discusses theory as well as applications from cities around the world and will be of interest to researchers and practitioners alike who are interested in the state-of-the-art as well as future perspectives that smart card data will bring |
| Bibliography |
Includes bibliographical references and index |
| Subject |
Local transit -- Planning
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Automatic data collection systems.
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Local transit -- Fares -- Automation
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Smart cards.
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BUSINESS & ECONOMICS -- Industries -- Transportation.
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TRANSPORTATION -- Public Transportation.
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Automatic data collection systems
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Local transit -- Fares -- Automation
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Local transit -- Planning
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Smart cards
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| Form |
Electronic book
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| Author |
Kurauchi, Fumitaka, editor
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Schmöcker, Jan-Dirk, 1976- editor.
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| ISBN |
1498726593 |
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9781498726597 |
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9781315353333 |
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1315353334 |
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