Ridership Evaluation and Prediction in Public Transport by Processing Smart Card Data:A Dutch Approach and Example

Book chapter (2016)

Authors

N. van Oort Transport and Planning - CEG
T Brands University of Twente, Goudappel Coffeng
E. de Romph Transport and Planning - CEG , TNO
M.D. Yap Transport and Planning - CEG , Goudappel Coffeng
Research Group
Transport and Planning (CEG) (TU Delft)
More Info
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Published Date

2016

Language

English

Reuse Rights

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Faculty

Civil Engineering & Geosciences

Department

Transport and Planning

Research Group

Transport and Planning

Abstract

This chapter deals with the Dutch smart card system, the so-called OV-Chipkaart and illustrates a potential application of its data. This chapter explores options for using this anonymous smart card data for evaluation, analysis and performing simple what-if analyses by using transport planning software. The objective is to process the data in such a way that it enhances evaluation and prediction of ridership (patterns). This helps to improve network and time-table design. The main contribution of this research is to introduce smart card as a data source into existing methods to come to a new ridership prediction approach. Our approach takes comfort into account, since it is a relevant quality indicator, which is often neglected. We show that the effect of a frequency increase in a congested public transport line in terms of additional passengers becomes significantly larger when comfort effects are included. Our approach was applied as a case study to the tram network in The Hague. The approach proved very valuable to gain insights on the effect of changes in the public transport supply.