Restaurant activity scheduling data

doi:10.4121/44873411-37de-4f14-83c7-6939bed488d2.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/44873411-37de-4f14-83c7-6939bed488d2
Datacite citation style:
Sparnaaij, Martijn (2023): Restaurant activity scheduling data . Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/44873411-37de-4f14-83c7-6939bed488d2.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset

The dataset contains the input file for PyNOMAD. These input files can be used and were used to simulate different restaurant settings. The results from these simulations are used to quantify the amount of close contacts (COVID-19) between customers and staff in a restaurant and how this depends on the geometry and service setup of a restaurant.

history
  • 2023-10-18 first online, published, posted
publisher
4TU.ResearchData
format
Zipped pyNOMAD input files
funding
  • SamenSlimOpen (ZonMw 10430022010018) (grant code 10430022010018) ZonMw
organizations
TU Delft, Faculty of Civil Engineering and Geosciences, Department of Transport and Planning

DATA

files (2)