2019 Volume 21 Pages 048-059
In recent years, aggregate mobile phone data such as Mobile Spatial Statistics (MSS) has been increasingly applied for transport data collections. Though MSS enables to obtain the data of various days and seasons easily, it does not contain passengers ‘qualitative information’ such as trip-purposes. Thus we propose a novel data-fusion methodology of Inter-Regional Travel Survey (IRTS) and MSS to estimate inter-regional passenger flow by different trip purposes for multiple days and seasons. We found that: (1) the predicted annual passenger demand by each trip purpose is similar with the predicted one from another statistics; (2) the predicted daily passenger demand is reasonable for some origin prefectures with large cities; but, (3) the predicted daily passenger demand seems to be unreasonable for some origin prefectures in rural areas.
