Description

Book Synopsis

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 disc

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.

Public Transport Planning with Smart Card Data

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    £999.99

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    A Hardback by Fumitaka Kurauchi, Jan-Dirk Schmöcker

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      Publisher: Taylor & Francis Inc
      Publication Date: 10/11/2016
      ISBN13: 9781498726580, 978-1498726580
      ISBN10: 1498726585

      Description

      Book Synopsis

      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 disc

      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.

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