| Towards Real-Time Crowd Simulation Under Uncertainty Using an Agent-Based Model and an Unscented Kalman Filter. | 0 | 0.34 | 2020 |
| Building Cities from Slime Mould, Agents and Quantum Field Theory | 0 | 0.34 | 2020 |
| Using graph structural information about flows to enhance short-term demand prediction in bike-sharing systems | 0 | 0.34 | 2020 |
| Diversity and burglary: Do community differences matter? | 0 | 0.34 | 2019 |
| A spatiotemporal and graph-based analysis of dockless bike sharing patterns to understand urban flows over the last mile. | 1 | 0.35 | 2019 |
| Guest editorial for spatial agent-based models: current practices and future trends | 0 | 0.34 | 2019 |
| A geodemographic classification of sub-districts to identify education inequality in Central Beijing. | 1 | 0.36 | 2018 |
| Modelling built-up expansion and densification with multinomial logistic regression, cellular automata and genetic algorithm. | 9 | 0.52 | 2018 |
| "Space, The Final Frontier": How Good Are Agent-Based Models At Simulating Individuals And Space In Cities? | 6 | 0.49 | 2016 |
| An agent model of urban economics: Digging into emergence | 4 | 0.56 | 2015 |
| Synthesising carbon emission for mega-cities: A static spatial microsimulation of transport CO2 from urban travel in Beijing. | 4 | 0.57 | 2014 |
| Agent Based Exploration of Urban Economic Dynamics Under the Rent-Gap Hypotheses. | 1 | 0.48 | 2014 |
| Simulating Spatial Dynamics and Processes in a Retail Gasoline Market: An Agent-Based Modeling Approach. | 2 | 0.41 | 2013 |
| Creating Realistic Synthetic Populations at Varying Spatial Scales: A Comparative Critique of Population Synthesis Techniques. | 9 | 1.09 | 2012 |
| Crime reduction through simulation: An agent-based model of burglary | 20 | 1.84 | 2010 |
| Modelling spatial market dynamics with retail agents. | 0 | 0.34 | 2008 |
| Using Hybrid Agent-Based Systems to Model Spatially-Influenced Retail Markets. | 4 | 0.45 | 2006 |
| Symbiotic adaptive neuro-evolution applied to rainfall-runoff modelling in northern England. | 3 | 0.78 | 2006 |
| A Hybrid Multi-Agent/Spatial Interaction Model System for Petrol Price Setting | 9 | 1.06 | 2005 |
| Using JavaSANE to Evolve Neural Network Rainfall-Runoff Models | 0 | 0.34 | 2005 |
| Application of multi-agent systems and social network theory to petrol pricing on UK motorways | 1 | 0.36 | 2005 |
| Using Four Different Least-Squared Error Functions to Train a Neural Network Rainfall-Runoff Model | 0 | 0.34 | 2005 |
