Valuation based on Big Data and revealed preference data: An assessment for Norwegian transport appraisal

For several decades, stated preference (SP) studies have been the dominant method for transport valuation. However, there are many indications that revealed preference data is making a strong comeback due to access to Big Data and new analysis possibilities such as machine learning. In this report, we assess the capability of different RP data sources. We find that app-panel with GPS-tracking give the broadest and most precise basis for valuation. In order to accommodate current segmentation of unit values in Norwegian transport appraisal, one does, however, need to collect additional background surveys. The use of traditional travel surveys is also ranked high, in particular when synergies with the estimation of transport models can be realized.