Pseudo-PFLOW: Development of nationwide synthetic open dataset for people movement based on limited travel survey and open statistical data
Takehiro Kashiyama, Yanbo Pang, Yoshihide Sekimoto, Takahiro Yabe

TL;DR
This paper presents Pseudo-PFLOW, a synthetic nationwide people movement dataset for Japan, created by combining limited survey data with statistical sources, enabling large-scale analysis without privacy concerns.
Contribution
It introduces a novel method for generating comprehensive synthetic people flow data across Japan using limited urban data and publicly available statistics.
Findings
Coefficient of determination over 0.5 for population distribution and trip volume comparisons
Demonstrates the dataset's potential for urban planning and disaster management
Provides a scalable approach to synthetic mobility data generation
Abstract
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…
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Taxonomy
TopicsHuman Mobility and Location-Based Analysis · Urban Transport and Accessibility · Transportation and Mobility Innovations
