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Oldroyd, R.A., Morris, M.A., Birkin, M. (2021). Predicting food safety compliance for informed food outlet inspections: a machine learning approach. International Journal of Environmental Research and Public Health. 18(23):12635. https://pubmed.ncbi.nlm.nih.gov/34886362/ 

Jenneson, V., Clarke, G.P., Greenwood, D.C., Shute, B., Tempest, B., Rains, T., Morris, M.A. (2022). Exploring the Geographic Variation in Fruit and Vegetable Purchasing Behaviour Using Supermarket Transaction Data. Nutrients, 14, 177. https://www.mdpi.com/2072-6643/14/1/177

Ross, S., Breckenridge, G., Zhuang, M., Manley, E. (2021). Household visitation during the COVID-19 pandemic. Sci Rep 11, 22871. https://doi.org/10.1038/s41598-021-02092-7

Jenneson, V.L., Pontin, F., Greenwood, D.C., Clarke, G.P., Morris, M.A. (2021). A systematic review of supermarket automated electronic sales data for population dietary surveillance. Nutrition Reviews. https://doi.org/10.1093/nutrit/nuab089

Pontin, F., Lomax, N., Clarke, G., Morris, M.A. (2021). Characterisation of Temporal Patterns in Step Count Behaviour from Smartphone App Data: An Unsupervised Machine Learning Approach. Int. J. Environ. Res. Public Health. 18 (11476). https://doi.org/10.3390/ijerph182111476

Spooner, F., Abrams, J.F, Morrissey, K., Shaddick, G., Batty, M., Milton, R., Dennett, A., Lomax, N., Malleson, M., Nelissen, N., Coleman, A., Nur, J., Jin, Y., Greig, R., Shenton, C., Birkin, M. (2021). A dynamic microsimulation model for epidemics. Social Science & Medicine. 291 (114461)  https://doi.org/10.1016/j.socscimed.2021.114461

Beckers, J., Birkin, M., Clarke, G., Hood, N., Newing, A. and Urquhart, R. (2021). Incorporating E‐commerce into Retail Location Models. Geographical Analysis. https://doi.org/10.1111/gean.12285

‌Ye, Z., Clarke, G. and Newing, A. (2021). Estimating small-area demand of urban tourist for groceries: The case of Greater London. Journal of Retailing and Consumer Services, [online] 58, p.102263. https://doi.org/10.1016/j.jretconser.2020.102263

Heinberg, M., Liu, Y., Huang, X. and Eisingerich, A.B. (2020). EXPRESS: A Bad Job of Doing Good: Does Corporate Transparency on a Country and Company Level Moderate Corporate Social Responsibility Effectiveness? Journal of International Marketing, p.1069031X2098187. https://doi.org/10.1177%2F1069031X20981870

Clark, S., Morris, M., Lomax, N. and Birkin, M. (2021). Can a data driven obesity classification system identify those at risk of severe COVID-19 in the UK Biobank cohort study? International Journal of Obesity. https://doi.org/10.1038/s41366-021-00891-6

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‌Pontin, F., Lomax, N., Clarke, G. and Morris, M.A. (2021). Socio-demographic determinants of physical activity and app usage from smartphone data. Social Science & Medicine, 284, p.114235. https://doi.org/10.1016/j.socscimed.2021.114235

Castellanos, S., Grant-Muller, S. and Wright, K. (2021). Technology, transport, and the sharing economy: towards a working taxonomy for shared mobility. Transport Reviews, pp.1–19. https://doi.org/10.1080/01441647.2021.1968976

Harrison, G., Grant-Muller, S.M. and Hodgson, F.C. (2021). A review of transport-health system dynamics models. Journal of Transport & Health, 22, p.101138. https://doi.org/10.1016/j.jth.2021.101138