  People flow data are utilized in diverse fields such as urban and commercial
planning and disaster management. However, people flow data collected from
mobile phones, such as using global positioning system and call detail records
data, are difficult to obtain because of privacy issues. Even if the data were
obtained, they would be difficult to handle. This study developed
pseudo-people-flow data covering all of Japan by combining public statistical
and travel survey data from limited urban areas. This dataset is not a
representation of actual travel movements but of typical weekday movements of
people. Therefore it is expected to be useful for various purposes.
Additionally, the dataset represents the seamless movement of people throughout
Japan, with no restrictions on coverage, unlike the travel surveys. In this
paper, we propose a method for generating pseudo-people-flow and describe the
development of a "Pseudo-PFLOW" dataset covering the entire population of
approximately 130 million people. We then evaluated the accuracy of the dataset
using mobile phone and trip survey data from multiple metropolitan areas. The
results showed that a coefficient of determination of more than 0.5 was
confirmed for comparisons regarding population distribution and trip volume.
