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Outputs (15)

Revealing the relationship between human mobility and urban deprivation using geo-big data: a case study from London in the post-pandemic era Creators (2023)
Presentation / Conference Contribution
Chen, T. (2023, April). Revealing the relationship between human mobility and urban deprivation using geo-big data: a case study from London in the post-pandemic era Creators. Presented at 31st Geographical Information Science Research UK (GISRUK), Glasgow, UK

Investigating the association between human mobility and urban deprivation helps to understand the disparate routines of urban residents with different socioeconomic vulnerabilities. Though lots of research have revealed the difference in the populat... Read More about Revealing the relationship between human mobility and urban deprivation using geo-big data: a case study from London in the post-pandemic era Creators.

From Raising Awareness to a Behavioural Change: A Case Study of Indoor Air Quality Improvement Using IoT and COM-B Model (2023)
Journal Article
Kureshi, R. R., Thakker, D., Mishra, B. K., & Barnes, J. (2023). From Raising Awareness to a Behavioural Change: A Case Study of Indoor Air Quality Improvement Using IoT and COM-B Model. Sensors, 23(7), Article 3613. https://doi.org/10.3390/s23073613

The topic of indoor air pollution has yet to receive the same level of attention as ambient pollution. We spend considerable time indoors, and poorer indoor air quality affects most of us, particularly people with respiratory and other health conditi... Read More about From Raising Awareness to a Behavioural Change: A Case Study of Indoor Air Quality Improvement Using IoT and COM-B Model.

Sensing dynamic human activity zones using geo-tagged big data in Greater London, UK during the COVID-19 pandemic (2023)
Journal Article
Chen, T., Zhu, D., Cheng, T., Gao, X., & Chen, H. (2023). Sensing dynamic human activity zones using geo-tagged big data in Greater London, UK during the COVID-19 pandemic. PLoS ONE, 18(1 January), Article e0277913. https://doi.org/10.1371/journal.pone.0277913

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 i... Read More about Sensing dynamic human activity zones using geo-tagged big data in Greater London, UK during the COVID-19 pandemic.

Modelling strong lenses from wide-field ground-based observations in KiDS and GAMA (2023)
Journal Article
Knabel, S., Holwerda, B. W., Nightingale, J., Treu, T., Bilicki, M., Brough, S., Driver, S., Finnerty, L., Haberzettl, L., Hegde, S., Hopkins, A. M., Kuijken, K., Liske, J., Pimblett, A. K., Steele, R. C., & Wright, A. H. (2023). Modelling strong lenses from wide-field ground-based observations in KiDS and GAMA. Monthly notices of the Royal Astronomical Society, 520(1), 804-827. https://doi.org/10.1093/mnras/stad133

Despite the success of galaxy-scale strong gravitational lens studies with Hubble-quality imaging, a number of well-studied strong lenses remains small. As a result, robust comparisons of the lens models to theoretical predictions are difficult. This... Read More about Modelling strong lenses from wide-field ground-based observations in KiDS and GAMA.