Wang, Xinglei;
Shi, Jia;
Cheng, Tao;
(2024)
Capturing high street dynamics on a finer scale: a case study in the context of COVID-19.
In:
Proceedings of the 32nd Annual GIS Research UK Conference (GISRUK).
(pp. pp. 1-6).
Zenodo: Leeds, UK.
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Abstract
This study delves into the evolution of high streets’ vitality during different periods – pre, during, and post the COVID-19 pandemic – by analysing hourly footfall patterns on high streets. While prior research primarily focused on weekly or monthly footfall changes, this investigation employs time series clustering to categorise high streets based on granular temporal patterns. Through extensive analysis, the study reveals the diverse functionalities of high streets and illustrates the immediate and enduring impacts of lockdown measures on high street dynamics and human behaviours. The study highlights the importance of finer-scale dynamics and contributes insights crucial for future development planning.
| Type: | Proceedings paper |
|---|---|
| Title: | Capturing high street dynamics on a finer scale: a case study in the context of COVID-19 |
| Event: | 32nd GISRUK Conference 2024 |
| Location: | Leeds, UK |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.5281/zenodo.10931921 |
| Publisher version: | https://doi.org/10.5281/zenodo.10931921 |
| Language: | English |
| Additional information: | Creative Commons Attribution 4.0 International, https://creativecommons.org/licenses/by/4.0/legalcode. |
| Keywords: | High street, dynamics, footfall, finer scale, COVID-19 |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Centre for Advanced Spatial Analysis |
| URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10190951 |
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