Version 1
: Received: 5 September 2024 / Approved: 6 September 2024 / Online: 9 September 2024 (11:42:22 CEST)
How to cite:
Ishikawa, A.; Fujimoto, S.; Mizuno, T.; Tanaka, Y. Statistical Law between Areas and Perimeters Created by a Moving Trajectory. Preprints2024, 2024090564. https://doi.org/10.20944/preprints202409.0564.v1
Ishikawa, A.; Fujimoto, S.; Mizuno, T.; Tanaka, Y. Statistical Law between Areas and Perimeters Created by a Moving Trajectory. Preprints 2024, 2024090564. https://doi.org/10.20944/preprints202409.0564.v1
Ishikawa, A.; Fujimoto, S.; Mizuno, T.; Tanaka, Y. Statistical Law between Areas and Perimeters Created by a Moving Trajectory. Preprints2024, 2024090564. https://doi.org/10.20944/preprints202409.0564.v1
APA Style
Ishikawa, A., Fujimoto, S., Mizuno, T., & Tanaka, Y. (2024). Statistical Law between Areas and Perimeters Created by a Moving Trajectory. Preprints. https://doi.org/10.20944/preprints202409.0564.v1
Chicago/Turabian Style
Ishikawa, A., Takayuki Mizuno and Yoshimi Tanaka. 2024 "Statistical Law between Areas and Perimeters Created by a Moving Trajectory" Preprints. https://doi.org/10.20944/preprints202409.0564.v1
Abstract
Based on our interest in properties of human movement, we investigated Japanese GPS data, and arrived at the following three observations: 1) there is a strong correlation between the area of polygons created by human movement trajectories and their perimeters; 2) short-distance movement trajectories less than 5 km tend to enclose a large area like a circle; 3) long-distance movement trajectories over 5 km tend to be straight.
We also clarified the following four observations on individual attributes and external factors related to long-distance movements: 1) women tend to travel more linearly than men; 2) linearity is stronger on weekends and national holidays in areas with a large theme park; 3) linearity is weaker on weekends and holidays in areas with many historical tourist attractions; 4) these variations are created by people visiting such areas.
These properties should be incorporated when modeling the movement trajectories of humans.
Keywords
GPS data; human movement trajectories; individual attributes; external factors; linearity
Subject
Social Sciences, Tourism, Leisure, Sport and Hospitality
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
