Alison J. Heppenstall

Orcid: 0000-0002-0663-3437

According to our database1, Alison J. Heppenstall authored at least 46 papers between 2004 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
Taking Agent-Based Social Simulation to the Next Level Using Exascale Computing: Potential Use-Cases, Capacity Requirements and Threats.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023
Agent decision-making: The Elephant in the Room - Enabling the justification of decision model fit in social-ecological models.
Environ. Model. Softw., December, 2023

What do you want theory <i>for</i>? - A pragmatic analysis of the roles of "theory" in agent-based modelling.
Environ. Model. Softw., October, 2023

Modeling agent decision and behavior in the light of data science and artificial intelligence.
Environ. Model. Softw., August, 2023

Exascale Agent-Based Modelling for Policy Evaluation in Real-Time (ExAMPLER) (Short Paper).
Proceedings of the 12th International Conference on Geographic Information Science, 2023

Understanding the Complex Behaviours of Electric Vehicle Drivers with Agent-Based Models in Glasgow (Short Paper).
Proceedings of the 12th International Conference on Geographic Information Science, 2023

Using the Dynamic Microsimulation MINOS to Evidence the Effect of Energy Crisis Income Support Policy (Short Paper).
Proceedings of the 12th International Conference on Geographic Information Science, 2023

2022
The utility of multilevel models for continuous-time feature selection of spatio-temporal networks.
Comput. Environ. Urban Syst., 2022

Last-Mile Capacity Constraints in Online Grocery Fulfilment in Great Britain.
J. Theor. Appl. Electron. Commer. Res., 2022

Simplifying the interpretation of continuous time models for spatio-temporal networks.
J. Geogr. Syst., 2022

Calibrating Agent-Based Models Using Uncertainty Quantification Methods.
J. Artif. Soc. Soc. Simul., 2022

Faking feature importance: A cautionary tale on the use of differentially-private synthetic data.
CoRR, 2022

Learning Complex Spatial Behaviours in ABM: An Experimental Observational Study.
CoRR, 2022

Agent-based modelling for Urban Analytics: State of the art and challenges.
AI Commun., 2022

2021
Estimates of the Ambient Population: Assessing the Utility of Conventional and Novel Data Sources.
ISPRS Int. J. Geo Inf., 2021

2020
Using graph structural information about flows to enhance short-term demand prediction in bike-sharing systems.
Comput. Environ. Urban Syst., 2020

Methodological Issues of Spatial Agent-Based Models.
J. Artif. Soc. Soc. Simul., 2020

Simulating Crowds in Real Time with Agent-Based Modelling and a Particle Filter.
J. Artif. Soc. Soc. Simul., 2020

Towards Real-Time Crowd Simulation Under Uncertainty Using an Agent-Based Model and an Unscented Kalman Filter.
Proceedings of the Advances in Practical Applications of Agents, Multi-Agent Systems, and Trustworthiness. The PAAMS Collection, 2020

Towards the Development of Societal Twins.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Building Cities from Slime Mould, Agents and Quantum Field Theory.
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2019
A spatiotemporal and graph-based analysis of dockless bike sharing patterns to understand urban flows over the last mile.
Comput. Environ. Urban Syst., 2019

Diversity and burglary: Do community differences matter?
Trans. GIS, 2019

Who, Where, Why and When? Using Smart Card and Social Media Data to Understand Urban Mobility.
ISPRS Int. J. Geo Inf., 2019

Guest editorial for spatial agent-based models: current practices and future trends.
GeoInformatica, 2019

Dealing with uncertainty in agent-based models for short-term predictions.
CoRR, 2019

2018
A geodemographic classification of sub-districts to identify education inequality in Central Beijing.
Comput. Environ. Urban Syst., 2018

Modelling built-up expansion and densification with multinomial logistic regression, cellular automata and genetic algorithm.
Comput. Environ. Urban Syst., 2018

2017
Understanding Simulation Results.
Proceedings of the Simulating Social Complexity - A Handbook, 2017

2016
"Space, the Final Frontier": How Good are Agent-Based Models at Simulating Individuals and Space in Cities?
Syst., 2016

2015
An agent model of urban economics: Digging into emergence.
Comput. Environ. Urban Syst., 2015

2014
Optimising an Agent-Based Model to Explore the Behaviour of Simulated Burglars.
Proceedings of the Theories and Simulations of Complex Social Systems, 2014

Synthesising carbon emission for mega-cities: A static spatial microsimulation of transport CO<sub>2</sub> from urban travel in Beijing.
Comput. Environ. Urban Syst., 2014

Agent Based Exploration of Urban Economic Dynamics Under the Rent-Gap Hypotheses.
Proceedings of the Multi-Agent-Based Simulation XV - International Workshop, 2014

2013
Simulating Spatial Dynamics and Processes in a Retail Gasoline Market: An Agent-Based Modeling Approach.
Trans. GIS, 2013

2012
Implementing comprehensive offender behaviour in a realistic agent-based model of burglary.
Simul., 2012

Creating Realistic Synthetic Populations at Varying Spatial Scales: A Comparative Critique of Population Synthesis Techniques.
J. Artif. Soc. Soc. Simul., 2012

2010
Crime reduction through simulation: An agent-based model of burglary.
Comput. Environ. Urban Syst., 2010

2008
Modelling spatial market dynamics with retail agents.
Proceedings of the Eleventh International Conference on the Synthesis and Simulation of Living Systems, 2008

2006
Symbiotic adaptive neuro-evolution applied to rainfall-runoff modelling in northern England.
Neural Networks, 2006

Using Hybrid Agent-Based Systems to Model Spatially-Influenced Retail Markets.
J. Artif. Soc. Soc. Simul., 2006

2005
A Hybrid Multi-Agent/Spatial Interaction Model System for Petrol Price Setting.
Trans. GIS, 2005

Using JavaSANE to Evolve Neural Network Rainfall-Runoff Models.
Proceedings of the 2nd Indian International Conference on Artificial Intelligence, 2005

Using Four Different Least-Squared Error Functions to Train a Neural Network Rainfall-Runoff Model.
Proceedings of the 2nd Indian International Conference on Artificial Intelligence, 2005

Application of Multi-agent Systems and Social Network Theory to Petrol Pricing on UK Motorways.
Proceedings of the Multi-Agent Systems and Applications IV, 2005

2004
Application of hybrid intelligent agents to modelling a dynamic, locally interacting retail market.
PhD thesis, 2004


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