Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/245860 
Authors: 
Year of Publication: 
2021
Series/Report no.: 
International Transport Forum Discussion Paper No. 2021/06
Publisher: 
Organisation for Economic Co-operation and Development (OECD), International Transport Forum, Paris
Abstract: 
This paper proposes the estimation of trip origin-destination matrices using big data through two case studies. In the first, trip matrices are estimated from mobile network data and compared with household travel survey results. In the second, public transport trip matrices are derived from smart card data and compared with passenger survey data. The paper concludes that sample size and longitudinal data collection are big data's main strengths, yet are limited by privacy protection constraints and by the need to control for biases in the sample.
Persistent Identifier of the first edition: 
Document Type: 
Working Paper

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