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Alison Heppenstall
Alison Heppenstall
Professor in Geocomputation, University of Glasgow
Verified email at glasgow.ac.uk - Homepage
Title
Cited by
Cited by
Year
Agent-based models of geographical systems
AJ Heppenstall, AT Crooks, LM See, M Batty
Springer Science & Business Media, 2011
5082011
Introduction to agent-based modelling
AT Crooks, AJ Heppenstall
Agent-based models of geographical systems, 85-105, 2011
4762011
Calibration of a fuzzy cellular automata model of urban dynamics in Saudi Arabia
K Al-Ahmadi, L See, A Heppenstall, J Hogg
Ecological complexity 6 (2), 80-101, 2009
2232009
Creating realistic synthetic populations at varying spatial scales: A comparative critique of population synthesis techniques
K Harland, A Heppenstall, D Smith, MH Birkin
Journal of Artificial Societies and Social Simulation 15 (1), 2012
1942012
Crime reduction through simulation: An agent-based model of burglary
N Malleson, A Heppenstall, L See
Computers, environment and urban systems 34 (3), 236-250, 2010
1912010
Agent-based modelling and geographical information systems: a practical primer
A Crooks, A Heppenstall, E Manley, N Malleson
SAGE Publications Ltd, 2018
1832018
Modelling built-up expansion and densification with multinomial logistic regression, cellular automata and genetic algorithm
A Mustafa, A Heppenstall, H Omrani, I Saadi, M Cools, J Teller
Computers, Environment and Urban Systems 67, 147-156, 2018
1802018
A spatiotemporal and graph-based analysis of dockless bike sharing patterns to understand urban flows over the last mile
Y Yang, A Heppenstall, A Turner, A Comber
Computers, Environment and Urban Systems 77, 101361, 2019
1672019
Challenges, tasks, and opportunities in modeling agent-based complex systems
L An, V Grimm, A Sullivan, BL Turner Ii, N Malleson, A Heppenstall, ...
Ecological Modelling 457, 109685, 2021
1542021
“Space, the final frontier”: How good are agent-based models at simulating individuals and space in cities?
A Heppenstall, N Malleson, A Crooks
Systems 4 (1), 9, 2016
1212016
Sociodemographic and spatial disaggregation of e-commerce channel use in the grocery market in Great Britain
N Hood, R Urquhart, A Newing, A Heppenstall
Journal of Retailing and Consumer Services 55, 102076, 2020
992020
Genetic algorithm optimisation of an agent-based model for simulating a retail market
AJ Heppenstall, AJ Evans, MH Birkin
Environment and Planning B: Planning and Design 34 (6), 1051-1070, 2007
962007
Using graph structural information about flows to enhance short-term demand prediction in bike-sharing systems
Y Yang, A Heppenstall, A Turner, A Comber
Computers, Environment and Urban Systems 83, 101521, 2020
882020
Future developments in geographical agent‐based models: Challenges and opportunities
A Heppenstall, A Crooks, N Malleson, E Manley, J Ge, M Batty
Geographical Analysis 53 (1), 76-91, 2021
852021
Daily travel behaviour in Beijing, China: An analysis of workers' trip chains, and the role of socio-demographics and urban form
J Ma, G Mitchell, A Heppenstall
Habitat International 43, 263-273, 2014
842014
Timing error correction procedure applied to neural network rainfall—runoff modelling
RJ Abrahart, AJ Heppenstall, LM See
Hydrological sciences journal 52 (3), 414-431, 2007
822007
Using hybrid agent-based systems to model spatially-influenced retail markets
A Heppenstall, A Evans, M Birkin
Journal of Artificial Societies and Social Simulation 9 (3), 2006
802006
Using an agent-based crime simulation to predict the effects of urban regeneration on individual household burglary risk
N Malleson, A Heppenstall, L See, A Evans
Environment and Planning B: Planning and Design 40 (3), 405-426, 2013
782013
Methodological issues of spatial agent-based models
S Manson, L An, KC Clarke, A Heppenstall, J Koch, B Krzyzanowski, ...
Journal of Artificial Societies and Social Simulation 23 (1), 2020
712020
Synthesising carbon emission for mega-cities: A static spatial microsimulation of transport CO2 from urban travel in Beijing
J Ma, A Heppenstall, K Harland, G Mitchell
Computers, Environment and Urban Systems 45, 78-88, 2014
682014
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