Publications

 

Agent-based models of the United States wealth distribution with Ensemble Kalman Filter

agent-based modelling
wealth inequality
data assimilation
ensemble kalman filter
The distribution of wealth is central to economic, social, and environmental dynamics. The release of high-frequency distributional data and the rapid pace of the complex…
Nov 22, 2024
Yannick Oswald, Nick Malleson, Keiran Suchak

 

Towards a general framework for co-location

co-location
modelling
human mobility
contact tracing
Previous studies into co-location exist in a variety of fields such as epidemiology and human mobility. In each field, researchers are interested identifying points of…
Sep 9, 2024
Keiran Suchak, Ed Manley

 

Influencing transport-health interactions through incentivised mode switch using new data and models

transport
health
system dynamics
causal loop diagram
spatial microsimulation
agent-based modelling
In this study we present a ‘proof-of-concept’ model using novel model integration and new forms of data that addresses the research question, How does incentivising a change…
Jul 1, 2024
Gillian Harrison, Yuanxuan Yang, Keiran Suchak, Susan M. Grant-Muller, Simon Shephard, Frances C. Hodgson

 

Coupling an agent-based model and an ensemble Kalman filter for real-time crowd modelling

agent-based modelling
data assimilation
ensemble kalman filter
Agent-based modelling has emerged as a powerful tool for modelling systems that are driven by discrete, heterogeneous individuals and has proven particularly popular in the…
Apr 10, 2024
Keiran Suchak, Minh Kieu, Yannick Oswald, Jonathan A. Ward, Nick Malleson

 

An agent-based model of the 2020 international policy diffusion in response to the COVID-19 pandemic with particle filter

agent-based modelling
policy diffusion
peer mimcry
data assimilation
particle filter
covid-19
Global problems, such as pandemics and climate change, require rapid international coordination and diffusion of policy. These phenomena are rare however, with one notable…
Mar 31, 2024
Yannick Oswald, Nick Malleson, Keiran Suchak

 

An agent-based model of heterogeneous driver behaviour and its impact on energy consumption and costs in urban space

agent-based modelling
electric vehicles
traffic simulation
public policy
By 2020, over 100 countries had expanded electric and plug-in hybrid electric vehicle (EV/PHEV) technologies, with global sales surpassing 7 million units. Governments are…
May 30, 2022
Sedar Olmez, Jason Thompson, Ellie Marfleet, Keiran Suchak, Alison Heppenstall, Ed Manley, Annabel Whipp, Rajith Vidanaarachchi

 

Simplifying the interpretation of continuous time models for spatio-temporal networks

spatio-temporal data
hierarchical modelling
networks
multilevel modelling
Autoregressive and moving average models for temporally dynamic networks treat time as a series of discrete steps which assumes even intervals between data measurements and…
Jul 26, 2021
Sarah C. Gadd, Alexis Comber, Mark S. Gilthorpe, Keiran Suchak, Alison Heppenstall

 

Exploring the impact of driver adherence to speed limits and the interdependence of roadside collisions in an urban environment: an agent-based modelling approach

agent-based modelling
traffic simulation
speed adherence
Roadside collisions are a significant problem faced by all countries. Urbanisation has led to an increase in traffic congestion and roadside vehicle collisions. According to…
Jun 8, 2021
Sedar Olmez, Liam Douglas-Mann, Ed Manley, Keiran Suchak, Alison Heppenstall, Dan Birks, Annabel Whipp
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