2023
DOI: 10.1371/journal.pone.0277913
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Sensing dynamic human activity zones using geo-tagged big data in Greater London, UK during the COVID-19 pandemic

Abstract: Exploration of dynamic human activity gives significant insights into understanding the urban environment and can help to reinforce scientific urban management strategies. Lots of studies are arising regarding the significant human activity changes in global metropolises and regions affected by COVID-19 containment policies. However, the variations of human activity dynamics amid different phases divided by the non-pharmaceutical intervention policies (e.g., stay-at-home, lockdown) have not been investigated a… Show more

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Cited by 5 publications
(3 citation statements)
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“…From the perspective of toughness characteristic ability, there are significant dissimilarities between the resistance and recovery ability of each city's transportation system, but the adaptive ability does not differ much. The calculation of Eqs ( 7)- (9) shows that Wuhan has the highest comprehensive system toughness among the four cities because its resistance ability R 1 = 4.81 and resilience ability R 2 = 5.23 are the largest. Next, Lanzhou benefits from its resistance ability R 1 = 3.05 and recovery ability R 2 = 3.76, which is second only to Wuhan, and the combined down system toughness R = 7.84, which is in the second place.…”
Section: Plos Onementioning
confidence: 99%
See 1 more Smart Citation
“…From the perspective of toughness characteristic ability, there are significant dissimilarities between the resistance and recovery ability of each city's transportation system, but the adaptive ability does not differ much. The calculation of Eqs ( 7)- (9) shows that Wuhan has the highest comprehensive system toughness among the four cities because its resistance ability R 1 = 4.81 and resilience ability R 2 = 5.23 are the largest. Next, Lanzhou benefits from its resistance ability R 1 = 3.05 and recovery ability R 2 = 3.76, which is second only to Wuhan, and the combined down system toughness R = 7.84, which is in the second place.…”
Section: Plos Onementioning
confidence: 99%
“…However, in this context, there is less research content related to the toughness of urban transportation systems, and there exists a great deal of space for quantitative research on its toughness. When facing the new crown epidemic event, the urban transportation system [8,9] is unprecedentedly affected [10,11], how to combine qualitative and quantitative analysis of its system toughness, analyze the antiinterference ability, recovery ability and other characteristics of it, has become an important issue in the field of global transportation system toughness research.…”
Section: Introductionmentioning
confidence: 99%
“…Considering the spatial heterogeneity in human activity variations during the pandemic in our study area [80], we used geographically weighted regression (GWR) to test the spatial associations between the highest-performing activity variable and the risk of theft from a person for each distinct pandemic period. Following the results in the four LASSO regression models (see Figure 4), the human activity variables with a positive (>0) and the highest coefficient values were selected, i.e., 'midday (WD)' in the 'Before lockdown' model, 'evening (WD)' in the 'First national lockdown' model, 'midday (WD)' in the 'Lockdown easing' model, and 'afternoon (WE)' in the 'Second national lockdown' model.…”
Section: The Spatial Relationships Between Selected Human Activity Va...mentioning
confidence: 99%