Ikuti
Alison Heppenstall
Alison Heppenstall
Professor in Geocomputation, University of Glasgow
Email yang diverifikasi di glasgow.ac.uk - Beranda
Judul
Dikutip oleh
Dikutip oleh
Tahun
Agent-based models of geographical systems
AJ Heppenstall, AT Crooks, LM See, M Batty
Springer Science & Business Media, 2011
4972011
Introduction to agent-based modelling
AT Crooks, AJ Heppenstall
Agent-based models of geographical systems, 85-105, 2011
4612011
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
2222009
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
1902012
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
1902010
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
1752018
Agent-based modelling and geographical information systems: a practical primer
A Crooks, A Heppenstall, E Manley, N Malleson
SAGE Publications Ltd, 2018
1692018
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
1582019
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
1332021
“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
1202016
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
952007
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
922020
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
812014
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
802020
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
802007
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
792006
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
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
762021
A conceptual and neural network model for real-time flood forecasting of the Tiber River in Rome
G Napolitano, L See, B Calvo, F Savi, A Heppenstall
Physics and Chemistry of the Earth, Parts A/B/C 35 (3-5), 187-194, 2010
692010
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
682020
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