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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.a
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |