Restaurant activity scheduling data
DOI:10.4121/44873411-37de-4f14-83c7-6939bed488d2.v1
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DOI: 10.4121/44873411-37de-4f14-83c7-6939bed488d2
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.ResearchDataFormat
Zipped pyNOMAD input filesFunding
- SamenSlimOpen (ZonMw 10430022010018) (grant code 10430022010018) ZonMw
Organizations
TU Delft, Faculty of Civil Engineering and Geosciences, Department of Transport and PlanningDATA
Files (2)
- 235 bytesMD5:
cdfed559bf724c3f332aa286ffe86853readme.txt - 47,128,180 bytesMD5:
b49c1893a430a894c17b599078257770activity_modelling_input_files.zip -
download all files (zip)
47,128,415 bytes unzipped





