Origin-Destination Trips Generated from Operational Data of a Mobile Network for Urban Transportation Planning

Owing to recent advances in information communication technologies, trail data, i.e., movement logs of people on the road or on trains, can be acquired on a 24-h, 365-day basis, some of which have yielded real-world applications. Generating highly granular origin-destination trip data from the operational data of mobile networks would significantly advance the methodology for actualizing and broadening the field of applications in urban transportation planning. This paper proposes a method that estimates origin-destination trips on the basis of mobile network operational data, referred to as mobile spatial dynamics. Statistics are generated using a three-step process comprising anonymization, estimation, and disclosure limitation. Unlike other studies conducted thus far, this study uses large-scale person trip survey data to validate the reliability of estimated origin-destination trips between regions. Analysis of the use cases shows that the proposed method has the potential for mobile spatial dynamics to complement person trip surveys and road traffic censuses.