Journal Articles

2020

  • Manson, Steven, An, Li, Clarke, Keith C., Heppenstall, Alison, Koch, Jennifer, Krzyzanowski, Brittany, Morgan, Fraser, O’Sullivan, David, Runck, Bryan C, Shook, Eric and Tesfatsion, Leigh (2020) ‘Methodological Issues of Spatial Agent-Based Models‘ Journal of Artificial Societies and Social Simulation 23 (1) 3 . doi: 10.18564/jasss.4174

2019

  • Gadd SC, Tennant PWG, Heppenstall AJ, Boehnke JR, Gilthorpe MS. 2019. Analysing trajectories of a longitudinal exposure: a causal perspective on common methods in lifecourse research. PLoS One.
  • Yang Y, Heppenstall A, Turner A, Comber A. 2019. A spatiotemporal and graph-based analysis of dockless bike sharing patterns to understand urban flows over the last mile. Computers, Environment and Urban Systems. 77
  • Yang Y, Heppenstall A, Turner A, Comber A. 2019. Who, Where, Why and When? Using Smart Card and Social Media Data to Understand Urban Mobility. ISPRS International Journal of Geo-Information. 8.6
  • Arnold KF, Ellison GTH, Gadd SC, Textor J, Tennant PWG, Heppenstall A, Gilthorpe MS. 2019. Adjustment for time-invariant and time-varying confounders in ‘unexplained residuals’ models for longitudinal data within a causal framework and associated challenges. Statistical Methods in Medical Research. 1347-1364 28.5
  • Gulma UL, Evans A, Heppenstall A, Malleson N. 2019. Diversity and Burglary: Does Community Differences Matter?. Transactions in GIS. 181-202 23.2
  • Heppenstall A, Crooks A. 2019. Guest editorial for spatial agent-based models: current practices and future trends. GEOINFORMATICA. 163-167 23.2
  • Xiang L; Stillwell J; Burns L; Heppenstall A Measuring and Assessing Regional Education Inequalities in China under Changing Policy Regimes. Applied Spatial Analysis and Policy. In press.
  • Gulma UL; Evans A; Heppenstall A; Malleson N Diversity and Burglary: Does Community Differences Matter?. Transactions in GIS, In press.
  • Arnold K; Harrison W; Heppenstall A; Gilthorpe M, (2019) DAG-informed regression modelling, agent-based modelling, and microsimulation modelling: A critical comparison of methods for causal inference. International Journal of Epidemiology, Volume 48, Issue 1, 1, Pages 243–253, https://doi.org/10.1093/ije/dyy260

2018

2017

2016