Data quality analysis of interregional travel demand: Extracting travel patterns using matrix decomposition

Abstract

The Interregional Travel Survey in Japan (formerly the Net Passenger Transportation Survey [NPTS]) still has some limitations. New data sources have recently emerged, e.g., massive data from web-based surveys (WEB) or collecting passive mobile phone data (MOBI). Using or not using these data sources have been questioned for data integration or model estimation and validation. Therefore, as an initial step, the data quality of new data sources was evaluated to identify the potential for data integration with NPTS or new data collection methods to replace NPTS. This study focused on finding out the similarities in travel patterns extracted from these data sources using a nonnegative matrix factorization method. This study found that origin–destination pairs in the MOBI travel patterns were significantly different from those of NPTS and WEB, while there were some similarities between NPTS and WEB. However, some issues have been remaining and should be resolved in the future.

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