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

Book Chapter (2016)
Author(s)

Niels van Van Oort (TU Delft - Transport and Planning)

T Brands (Goudappel Coffeng, University of Twente)

Erik de Romph (TU Delft - Transport and Planning, TNO)

M.D. Yap (TU Delft - Transport and Planning, Goudappel Coffeng)

Research Group
Transport and Planning
DOI related publication
https://doi.org/10.1201/9781315370408-15
More Info
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Publication Year
2016
Language
English
Research Group
Transport and Planning
Pages (from-to)
197–224
ISBN (print)
978-1-4987-2658-0
ISBN (electronic)
978-1-4987-2659-7

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.

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