BibTeX Export for The Ups and Downs of London High Streets Throughout COVID-19 Pandemic: Insights from Footfall-Based Clustering Analysis (Short Paper)

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@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.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}
}

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