Public transport planning with smart card data
Author(s)
Bibliographic Information
Public transport planning with smart card data
（A Science Publishers book）
CRC Press, c2017
- : hardback
Available at / 1 libraries
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Institute of Materials and Systems for Sustainability, Nagoya University未来材料研
: hardback681||K41666959
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Note
Includes bibliographical references and index
Description and Table of Contents
Description
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.
Table of Contents
An overview of new analysis options through smart card data. Estimating passenger behavior. Transit origin-destination matrix estimation. Destination and activity estimation. Route choice estimation. Combining smart card data with other databases. Combination with personal trip data. Linking smart card data with survey data. Combination with shopping data. Using smartcard data as simulation inputs. Smart card data for evaluation. Level of service indicators and city wide impacts. Evaluating equality and fairness. Ridership prediction, Dutch example. Road project assessments. Conclusions and further practical issues.
by "Nielsen BookData"
