Alison J. Heppenstall

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 32

Top Venues

Comput. Environ. Urban Syst.

CoRR

Environ. Model. Softw.

J. Artif. Soc. Soc. Simul.

University of Leeds, UK (PHD)

Education History

University of Leeds, UK

PHD

Publications

Sedar Olmez, Dan Birks, Alison J. Heppenstall, Jiaqi Ge
Learning the rational choice perspective: A reinforcement learning approach to simulating offender behaviours in criminological agent-based models. Comput. Environ. Urban Syst. 112 (2024)
Matthew P. Hare, Doug Salt, Ric Colasanti, Richard Milton, Mike Batty, Alison J. Heppenstall, Gary Polhill
Taking Agent-Based Social Simulation to the Next Level Using Exascale Computing: Potential Use-Cases, Capacity Requirements and Threats. AAMAS (2024)
Zixin Feng, Qunshan Zhao, Alison J. Heppenstall
Understanding the Complex Behaviours of Electric Vehicle Drivers with Agent-Based Models in Glasgow (Short Paper). GIScience (2023)
Alison J. Heppenstall, J. Gary Polhill, Mike Batty, Matthew P. Hare, Doug Salt, Richard Milton
Exascale Agent-Based Modelling for Policy Evaluation in Real-Time (ExAMPLER) (Short Paper). GIScience (2023)
Nanda Wijermans, Geeske Scholz, Émile J. L. Chappin, Alison J. Heppenstall, Tatiana Filatova, J. Gareth Polhill, Christina Semeniuk, Frithjof Stöppler
Agent decision-making: The Elephant in the Room - Enabling the justification of decision model fit in social-ecological models. Environ. Model. Softw. 170 (2023)
Patrycja Antosz, Dan Birks, Bruce Edmonds, Alison J. Heppenstall, Ruth Meyer, J. Gareth Polhill, David O'Sullivan, Nanda Wijermans
? - A pragmatic analysis of the roles of "theory" in agent-based modelling. Environ. Model. Softw. 168 (2023)
Robert Clay, Luke Archer, Alison J. Heppenstall, Nik Lomax
Using the Dynamic Microsimulation MINOS to Evidence the Effect of Energy Crisis Income Support Policy (Short Paper). GIScience (2023)
Li An, Volker Grimm, Yu Bai, Abigail Sullivan, Billie L. Turner II, Nicolas Malleson, Alison J. Heppenstall, Christian Ernest Vincenot, Derek T. Robinson, Xinyue Ye, Jianguo Liu, Emilie B. Lindkvist, Wenwu Tang
Modeling agent decision and behavior in the light of data science and artificial intelligence. Environ. Model. Softw. 166 (2023)
Josie McCulloch, Jiaqi Ge, Jonathan A. Ward, Alison J. Heppenstall, J. Gareth Polhill, Nick Malleson
Calibrating Agent-Based Models Using Uncertainty Quantification Methods. J. Artif. Soc. Soc. Simul. 25 (2) (2022)
Nick Malleson, Mark H. Birkin, Daniel Birks, Jiaqi Ge, Alison J. Heppenstall, Ed Manley, Josie McCulloch, Patricia Ternes
Agent-based modelling for Urban Analytics: State of the art and challenges. AI Commun. 35 (4) (2022)
Sarah C. Gadd, Alexis J. Comber, Mark S. Gilthorpe, Keiran Suchak, Alison J. Heppenstall
Simplifying the interpretation of continuous time models for spatio-temporal networks. J. Geogr. Syst. 24 (2) (2022)
Sedar Olmez, Dan Birks, Alison J. Heppenstall
Learning Complex Spatial Behaviours in ABM: An Experimental Observational Study. CoRR (2022)
Nick Malleson, Mark H. Birkin, Daniel Birks, Jiaqi Ge, Alison J. Heppenstall, Ed Manley, Josie McCulloch, Patricia Ternes
Agent-Based Modelling for Urban Analytics: State of the Art and Challenges. CoRR (2022)
Oscar Giles, Kasra Hosseini, Grigorios Mingas, Oliver Strickson, Louise Bowler, Camila Rangel Smith, Harrison Wilde, Jen Ning Lim, Bilal A. Mateen, Kasun Amarasinghe, Rayid Ghani, Alison J. Heppenstall, Nik Lomax, Nick Malleson, Martin O'Reilly, Sebastian Vollmerteke
Faking feature importance: A cautionary tale on the use of differentially-private synthetic data. CoRR (2022)
Ryan Urquhart, Andy Newing, Nicholas Hood, Alison J. Heppenstall
Last-Mile Capacity Constraints in Online Grocery Fulfilment in Great Britain. J. Theor. Appl. Electron. Commer. Res. 17 (2) (2022)
Sarah C. Gadd, Alexis J. Comber, Peter Tennant, Mark S. Gilthorpe, Alison J. Heppenstall
The utility of multilevel models for continuous-time feature selection of spatio-temporal networks. Comput. Environ. Urban Syst. 91 (2022)
Annabel Whipp, Nicolas Malleson, Jonathan Ward, Alison J. Heppenstall
Estimates of the Ambient Population: Assessing the Utility of Conventional and Novel Data Sources. ISPRS Int. J. Geo Inf. 10 (3) (2021)
Yuanxuan Yang, Alison J. Heppenstall, Andy Turner, Alexis J. Comber
Using graph structural information about flows to enhance short-term demand prediction in bike-sharing systems. Comput. Environ. Urban Syst. 83 (2020)
Robert Clay, Le-Minh Kieu, Jonathan A. Ward, Alison J. Heppenstall, Nick Malleson
Towards Real-Time Crowd Simulation Under Uncertainty Using an Agent-Based Model and an Unscented Kalman Filter. PAAMS (2020)
Nick Malleson, Kevin Minors, Le-Minh Kieu, Jonathan A. Ward, Andrew A. West, Alison J. Heppenstall
Simulating Crowds in Real Time with Agent-Based Modelling and a Particle Filter. J. Artif. Soc. Soc. Simul. 23 (3) (2020)
Steven M. Manson, Li An, Keith C. Clarke, Alison J. Heppenstall, Jennifer Koch, Brittany Krzyzanowski, Fraser Morgan, David O'Sullivan, Bryan C. Runck, Eric Shook, Leigh Tesfatsion
Methodological Issues of Spatial Agent-Based Models. J. Artif. Soc. Soc. Simul. 23 (1) (2020)
Alison J. Heppenstall, Nick Malleson
Building Cities from Slime Mould, Agents and Quantum Field Theory. AAMAS (2020)
Dan Birks, Alison J. Heppenstall, Nick Malleson
Towards the Development of Societal Twins. ECAI (2020)
Alison J. Heppenstall, Andrew Crooks
Guest editorial for spatial agent-based models: current practices and future trends. GeoInformatica 23 (2) (2019)
Usman Lawal Gulma, Andy Evans, Alison J. Heppenstall, Nick Malleson
Diversity and burglary: Do community differences matter? Trans. GIS 23 (2) (2019)
Nick Malleson, Kevin Minors, Le-Minh Kieu, Jonathan A. Ward, Andrew A. West, Alison J. Heppenstall
Simulating Crowds in Real Time with Agent-Based Modelling and a Particle Filter. CoRR (2019)
Le-Minh Kieu, Nicolas Malleson, Alison J. Heppenstall
Dealing with uncertainty in agent-based models for short-term predictions. CoRR (2019)
Yuanxuan Yang, Alison J. Heppenstall, Andy Turner, Alexis J. Comber
A spatiotemporal and graph-based analysis of dockless bike sharing patterns to understand urban flows over the last mile. Comput. Environ. Urban Syst. 77 (2019)
Yuanxuan Yang, Alison J. Heppenstall, Andy Turner, Alexis J. Comber
Who, Where, Why and When? Using Smart Card and Social Media Data to Understand Urban Mobility. ISPRS Int. J. Geo Inf. 8 (6) (2019)
Lili Xiang, John Stillwell, Luke Burns, Alison J. Heppenstall, Paul Norman
A geodemographic classification of sub-districts to identify education inequality in Central Beijing. Comput. Environ. Urban Syst. 70 (2018)
Ahmed M. Mustafa, Alison J. Heppenstall, Hichem Omrani, Ismaïl Saadi, Mario Cools, Jacques Teller
Modelling built-up expansion and densification with multinomial logistic regression, cellular automata and genetic algorithm. Comput. Environ. Urban Syst. 67 (2018)
Alison J. Heppenstall, Nick Malleson, Andrew Crooks
"Space, the Final Frontier": How Good are Agent-Based Models at Simulating Individuals and Space in Cities? Syst. 4 (1) (2016)
Dan Olner, Andrew J. Evans, Alison J. Heppenstall
An agent model of urban economics: Digging into emergence. Comput. Environ. Urban Syst. 54 (2015)
Stefano Picascia, Bruce Edmonds, Alison J. Heppenstall
Agent Based Exploration of Urban Economic Dynamics Under the Rent-Gap Hypotheses. MABS (2014)
Jing Ma, Alison J. Heppenstall, Kirk Harland, Gordon Mitchell
from urban travel in Beijing. Comput. Environ. Urban Syst. 45 (2014)
Alison J. Heppenstall, Kirk Harland, Andrew N. Ross, Dan Olner
Simulating Spatial Dynamics and Processes in a Retail Gasoline Market: An Agent-Based Modeling Approach. Trans. GIS 17 (5) (2013)
Kirk Harland, Alison J. Heppenstall, Dianna Smith, Mark H. Birkin
Creating Realistic Synthetic Populations at Varying Spatial Scales: A Comparative Critique of Population Synthesis Techniques. J. Artif. Soc. Soc. Simul. 15 (1) (2012)
Nick Malleson, Linda M. See, Andy Evans, Alison J. Heppenstall
Implementing comprehensive offender behaviour in a realistic agent-based model of burglary. Simul. 88 (1) (2012)
Nick Malleson, Alison J. Heppenstall, Linda M. See
Crime reduction through simulation: An agent-based model of burglary. Comput. Environ. Urban Syst. 34 (3) (2010)
Mark H. Birkin, Alison J. Heppenstall
Modelling spatial market dynamics with retail agents. ALIFE (2008)
Christian W. Dawson, Linda M. See, Robert J. Abrahart, Alison J. Heppenstall
Symbiotic adaptive neuro-evolution applied to rainfall-runoff modelling in northern England. Neural Networks 19 (2) (2006)
Alison J. Heppenstall, Andrew J. Evans, Mark H. Birkin
Using Hybrid Agent-Based Systems to Model Spatially-Influenced Retail Markets. J. Artif. Soc. Soc. Simul. 9 (3) (2006)
Alison J. Heppenstall, Andrew J. Evans, Mark H. Birkin
A Hybrid Multi-Agent/Spatial Interaction Model System for Petrol Price Setting. Trans. GIS 9 (1) (2005)
Robert J. Abrahart, Linda M. See, Alison J. Heppenstall
Using Four Different Least-Squared Error Functions to Train a Neural Network Rainfall-Runoff Model. IICAI (2005)
Linda M. See, Robert J. Abrahart, Alison J. Heppenstall
Using JavaSANE to Evolve Neural Network Rainfall-Runoff Models. IICAI (2005)
Alison J. Heppenstall, Olga E. McFarland, Andrew J. Evans
Application of Multi-agent Systems and Social Network Theory to Petrol Pricing on UK Motorways. CEEMAS (2005)

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Publication Activity (10 Years)

Top Topics

Top Venues

Alison J. Heppenstall