People Flow Visualization based on Proximity Network during the COVID-19 pandemic

Author:

Morikoshi Sayaka1,Onishi Masaki2,Itoh Takayuki1

Affiliation:

1. Ochanomizu University

2. National Institute of Advanced Industrial Science and Technology

Publisher

Society for Art and Science

Reference19 articles.

1. [1] N. A. Koshak, “A GIS-Based Spatial-Temporal Visualization of Pedestrian Groups Movement to and from Jamart Area”, Proc. of International Conference on Computers in Urban Planning and Urban Management (CUPUM), 2005.

2. [2] M. Imanishi, T. Sano, “Route Choice and Flow Rate in Theatre Evacuation Drills: Analysis of Walking Trajectory Data-Set”, Fire Technol, Vol. 55, pp. 569‒ -593, 2019.

3. [3] K. Teknomo, G. P. Gerilla, “Pedestrian static trajectory analysis of a hypermarket”, Proceedings of the Eastern Asia Society for Transportation Studies, Vol. 7, pp. 220, 2009.

4. [4] A. Alia, M. Maree, M. Chraibi, “On the exploitation of GPS-based data for real-time visualisation of pedestrian dynamics in open environments”, Behaviour & Information Technology, 2021.

5. [5] J. Wang, Z. Wood, M. Worboys, “Conflict in pedestrian networks”, Geospatial Data in a Changing World. Springer, Cham, pp. 261–278, 2016.

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