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

Niels van Oort, T Brands, E. de Romph, Menno Yap

Research output: Chapter in Book/Conference proceedings/Edited volumeChapterScientific

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.
Original languageEnglish
Title of host publicationPublic Transport Planning with Smart Card Data
EditorsF. Kurauchi, J.D. Schmöcker
PublisherCRC Press
Pages197–224
ISBN (Electronic)978-1-4987-2659-7
ISBN (Print)978-1-4987-2658-0
DOIs
Publication statusPublished - 2016

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