Professor Alison Heppenstall
- Professor of Geocomputation (Urban Studies)
Publications
2022
Sucharyna Thomas, L., Wickham-Jones, C. R. and Heppenstall, A. J. (2022) Combining agent-based modelling and geographical information systems to create a new approach for modelling movement dynamics: a case study of Mesolithic Orkney. Open Archaeology, 8, pp. 987-1009. (doi: 10.1515/opar-2022-0257)
Boyd, J., Wilson, R., Elsenbroich, C. , Heppenstall, A. and Meier, P. (2022) Agent-based modelling of health inequalities following the complexity turn in public health: a systematic review. International Journal of Environmental Research and Public Health, 19(24), 16807. (doi: 10.3390/ijerph192416807) (PMID:36554687) (PMCID:PMC9779847)
Wallace, R., Franklin, R., Grant-Muller, S., Heppenstall, A. and Houlden, V. (2022) Estimating the social and spatial impacts of Covid mitigation strategies in United Kingdom regions: synthetic data and dashboards. Cambridge Journal of Regions, Economy and Society, 15(3), pp. 683-702. (doi: 10.1093/cjres/rsac019)
Ternes, P., Ward, J. A., Heppenstall, A. , Kumar, V., Kieu, L.-M. and Malleson, N. (2022) Data assimilation and agent-based modelling: towards the incorporation of categorical agent parameters. Open Research Europe, 1, 131. (doi: 10.12688/openreseurope.14144.2)
Olmez, S., Thompson, J., Marfleet, E., Suchak, K., Heppenstall, A. , Manley, E., Whipp, A. and Vidanaarachchi, R. (2022) An agent-based model of heterogeneous driver behaviour and its impact on energy consumption and costs in urban space. Energies, 15(11), 4031. (doi: 10.3390/en15114031)
Urquhart, R., Newing, A., Hood, N. and Heppenstall, A. (2022) Last-mile capacity constraints in online grocery fulfilment in Great Britain. Journal of Theoretical and Applied Electronic Commerce Research, 17(2), pp. 636-651. (doi: 10.3390/jtaer17020033)
Arnold, K. F., Gilthorpe, M. S., Alwan, N. A., Heppenstall, A. J. , Tomova, G. D., McKee, M. and Tennant, P. W.G. (2022) Estimating the effects of lockdown timing on COVID-19 cases and deaths in England: a counterfactual modelling study. PLoS ONE, 17(4), e0263432. (doi: 10.1371/journal.pone.0263432) (PMID:35421094) (PMCID:PMC9009677)
McCulloch, J., Ge, J., Ward, J. A., Heppenstall, A. , Polhill, J. G. and Malleson, N. (2022) Calibrating agent-based models using uncertainty quantification methods. Journal of Artificial Societies and Social Simulation, 25(2), 1. (doi: 10.18564/jasss.4791)
Franklin, R. S. et al. (2022) Making space in geographical analysis. Geographical Analysis, (doi: 10.1111/gean.12325) (Early Online Publication)
Wu, G., Heppenstall, A. , Meier, P. , Purshouse, R. and Lomax, N. (2022) A synthetic population dataset for estimating small area health and socio-economic outcomes in Great Britain. Scientific Data, 9, 19. (doi: 10.1038/s41597-022-01124-9) (PMID:35058471) (PMCID:PMC8776798)
Gadd, S. C., Comber, A., Tennant, P., Gilthorpe, M. S. and Heppenstall, A. J. (2022) The utility of multilevel models for continuous-time feature selection of spatio-temporal networks. Computers, Environment and Urban Systems, 91, 101728. (doi: 10.1016/j.compenvurbsys.2021.101728)
Yang, Y., Beecham, R., Heppenstall, A. , Turner, A. and Comber, A. (2022) Understanding the impacts of public transit disruptions on bikeshare schemes and cycling behaviours using spatiotemporal and graph-based analysis: a case study of four London Tube strikes. Journal of Transport Geography, 98, 103255. (doi: 10.1016/j.jtrangeo.2021.103255)
Malleson, N., Birkin, M., Birks, D., Ge, J., Heppenstall, A. , Manley, E., McCulloch, J. and Ternes, P. (2022) Agent-based modelling for urban analytics: state of the art and challenges. AI Communications, 35(4), pp. 393-406. (doi: 10.3233/AIC-220114)
Articles
Sucharyna Thomas, L., Wickham-Jones, C. R. and Heppenstall, A. J. (2022) Combining agent-based modelling and geographical information systems to create a new approach for modelling movement dynamics: a case study of Mesolithic Orkney. Open Archaeology, 8, pp. 987-1009. (doi: 10.1515/opar-2022-0257)
Boyd, J., Wilson, R., Elsenbroich, C. , Heppenstall, A. and Meier, P. (2022) Agent-based modelling of health inequalities following the complexity turn in public health: a systematic review. International Journal of Environmental Research and Public Health, 19(24), 16807. (doi: 10.3390/ijerph192416807) (PMID:36554687) (PMCID:PMC9779847)
Wallace, R., Franklin, R., Grant-Muller, S., Heppenstall, A. and Houlden, V. (2022) Estimating the social and spatial impacts of Covid mitigation strategies in United Kingdom regions: synthetic data and dashboards. Cambridge Journal of Regions, Economy and Society, 15(3), pp. 683-702. (doi: 10.1093/cjres/rsac019)
Ternes, P., Ward, J. A., Heppenstall, A. , Kumar, V., Kieu, L.-M. and Malleson, N. (2022) Data assimilation and agent-based modelling: towards the incorporation of categorical agent parameters. Open Research Europe, 1, 131. (doi: 10.12688/openreseurope.14144.2)
Olmez, S., Thompson, J., Marfleet, E., Suchak, K., Heppenstall, A. , Manley, E., Whipp, A. and Vidanaarachchi, R. (2022) An agent-based model of heterogeneous driver behaviour and its impact on energy consumption and costs in urban space. Energies, 15(11), 4031. (doi: 10.3390/en15114031)
Urquhart, R., Newing, A., Hood, N. and Heppenstall, A. (2022) Last-mile capacity constraints in online grocery fulfilment in Great Britain. Journal of Theoretical and Applied Electronic Commerce Research, 17(2), pp. 636-651. (doi: 10.3390/jtaer17020033)
Arnold, K. F., Gilthorpe, M. S., Alwan, N. A., Heppenstall, A. J. , Tomova, G. D., McKee, M. and Tennant, P. W.G. (2022) Estimating the effects of lockdown timing on COVID-19 cases and deaths in England: a counterfactual modelling study. PLoS ONE, 17(4), e0263432. (doi: 10.1371/journal.pone.0263432) (PMID:35421094) (PMCID:PMC9009677)
McCulloch, J., Ge, J., Ward, J. A., Heppenstall, A. , Polhill, J. G. and Malleson, N. (2022) Calibrating agent-based models using uncertainty quantification methods. Journal of Artificial Societies and Social Simulation, 25(2), 1. (doi: 10.18564/jasss.4791)
Franklin, R. S. et al. (2022) Making space in geographical analysis. Geographical Analysis, (doi: 10.1111/gean.12325) (Early Online Publication)
Wu, G., Heppenstall, A. , Meier, P. , Purshouse, R. and Lomax, N. (2022) A synthetic population dataset for estimating small area health and socio-economic outcomes in Great Britain. Scientific Data, 9, 19. (doi: 10.1038/s41597-022-01124-9) (PMID:35058471) (PMCID:PMC8776798)
Gadd, S. C., Comber, A., Tennant, P., Gilthorpe, M. S. and Heppenstall, A. J. (2022) The utility of multilevel models for continuous-time feature selection of spatio-temporal networks. Computers, Environment and Urban Systems, 91, 101728. (doi: 10.1016/j.compenvurbsys.2021.101728)
Yang, Y., Beecham, R., Heppenstall, A. , Turner, A. and Comber, A. (2022) Understanding the impacts of public transit disruptions on bikeshare schemes and cycling behaviours using spatiotemporal and graph-based analysis: a case study of four London Tube strikes. Journal of Transport Geography, 98, 103255. (doi: 10.1016/j.jtrangeo.2021.103255)
Malleson, N., Birkin, M., Birks, D., Ge, J., Heppenstall, A. , Manley, E., McCulloch, J. and Ternes, P. (2022) Agent-based modelling for urban analytics: state of the art and challenges. AI Communications, 35(4), pp. 393-406. (doi: 10.3233/AIC-220114)
Supervision
- Feng, Zixin
Future Deployment of EV Charging Infrastructures