@InProceedings{wang_et_al:LIPIcs.GIScience.2023.80,
author = {Wang, Xinglei and Zhang, Xianghui and Cheng, Tao},
title = {{The Ups and Downs of London High Streets Throughout COVID-19 Pandemic: Insights from Footfall-Based Clustering Analysis}},
booktitle = {12th International Conference on Geographic Information Science (GIScience 2023)},
pages = {80:1--80:6},
series = {Leibniz International Proceedings in Informatics (LIPIcs)},
ISBN = {978-3-95977-288-4},
ISSN = {1868-8969},
year = {2023},
volume = {277},
editor = {Beecham, Roger and Long, Jed A. and Smith, Dianna and Zhao, Qunshan and Wise, Sarah},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops-dev.dagstuhl.de/entities/document/10.4230/LIPIcs.GIScience.2023.80},
URN = {urn:nbn:de:0030-drops-189754},
doi = {10.4230/LIPIcs.GIScience.2023.80},
annote = {Keywords: High street, performance, footfall, clustering analysis, COVID-19}
}