id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-209269-7ojtwe78	Parisi, Daniel R.	Social Distance Characterization by means of Pedestrian Simulation	2020-09-08		.txt	text/plain	4891	242	61	In the present work, we study how the number of simulated clients (occupancy) affects the social distance in an ideal supermarket. In this subsection, we characterize distance between agents during the simulations with the modified contractile particle model (CPM) for different allowed capacities. The different time scales and the number of cases in its both panels confirm that the first hour is dominated by particular long lines waiting for checkout, while in the second hour (Fig. 8 B) the duration of social distance events less than 2 m are dominated by the shorter process, i.e.: the picking time at products. Different operational models, display similar macroscopic observables regarding social distances at values greater than 2 m indicating that the results are robust with respect to microscopic collision avoidance resolution and also suggesting that the simulated paths of the particles are more influenced by the geometry, shopping list, and time-consuming process, than by the particular avoidance mechanism.	./cache/cord-209269-7ojtwe78.txt	./txt/cord-209269-7ojtwe78.txt