Jiaqi Ge
Biographic Data
| ID | 3703943 |
|---|---|
| NAME | Jiaqi Ge |
| GIVEN NAMES | Jiaqi |
| FAMILY NAME | Ge |
| SIGNATURE | GE J |
| AFFILIATIONS | University of Leeds |
| ORCID | 0000-0001-6491-3851 |
| VERIFIED | Yes |
| TOTAL WORKS | 17 |
| TOTAL CITATIONS | 4 |
| WORKS AS AUTHOR | 17 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2016 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 2 |
Calibrating a Global Trade Agent-Based Model with an HPC–ABC–SMC Framework
This study presents a High-Performance Computing and Approximate Bayesian Computation-Sequential Monte Carlo (HPC-ABC-SMC) framework for calibrating complex agent-based models.Applied to a global food trade model, the framework calibrates trade partner and trade volume objectives separately, using precomputed result mapping and task-level parallelisation to achieve up to a 42.1-fold computational efficiency improvement over traditional methods.Un…
Heterogeneity in Agent-Based Models
Agent-based models are flexible tools that allow modellers to capture heterogeneity in agent attributes, characteristics, and behaviours.In this paper, heterogeneity is defined as agent granularity, referring to the level of detail used to describe agent attributes, behaviours, interaction processes, and decision-making rules.However, the increased complexity associated with greater levels of heterogeneity, and hence more parameters, can make the…
Modelling emergent pedestrian evacuation behaviors from intelligent, game-playing agents
Much work has been done to understand complex crowd dynamics and self-organizing behaviors in high-density crowd situations. But most approaches for modelling pedestrian dynamics in emergencies require complex computations, making it difficult to capture multiple individual behaviors within a single model. This paper describes an agent-based model (ABM) that incorporates Bayesian game theory into pedestrian simulations. It assumes that players (a…
Learning the rational choice perspective
Over the past 15 years, environmental criminologists have explored the application of agent-based models (ABMs) of crime events and various theoretical frameworks applied to understand them. Models have supported criminological theorising and, in some cases, been applied to make predictions about the impact of interventions devised to reduce crime. However, decision-making frameworks utilised in criminological ABMs have typically been implemented…
Modelling urban transition with coupled housing and labour markets
This study develops an agent-based model of urban transition, U-TRANS, with coupled housing and labour markets to simulate the transition of a city during a major industrial shift. We propose a dynamic, bottom-up framework incorporating the key interacting factors and micro mechanisms that drive the transition paths of cities. Using U-TRANS, we simulate a number of distinctive urban transition paths, from total collapse to weak recovery to enhanc…
From primary data to formalized decision-making
Model-based analyses can effectively contribute to investigating leverage points for sustainability transformations in agriculture. They allow for a systematic evaluation of policies under changing environmental, economic, or institutional conditions, and can be used to assess the effectiveness and efficiency of different policy designs. For analyzing agricultural systems, agent-based modeling is particularly useful because it can represent indiv…
An Agent-Based Simulation Model of Pedestrian Evacuation Based on Bayesian Nash Equilibrium
This research incorporates Bayesian game theory into pedestrian evacuation in an agent-based model. Three pedestrian behaviours were compared: Random Follow, Shortest Route and Bayesian Nash Equilibrium (BNE), as well as combinations of these. The results showed that BNE pedestrians were able to evacuate more quickly as they predict congestion levels in their next step and adjust their directions to avoid congestion, closely matching the behaviou…
Calibrating Agent-Based Models Using Uncertainty Quantification Methods
Agent-based models (ABMs) can be found across a number of diverse application areas ranging from simulating consumer behaviour to infectious disease modelling. Part of their popularity is due to their ability to simulate individual behaviours and decisions over space and time. However, whilst there are plentiful examples within the academic literature, these models are only beginning to make an impact within policy areas. Whilst frameworks such a…
Future Developments in Geographical Agent‐Based Models
Despite reaching a point of acceptance as a research tool across the geographical and social sciences, there remain significant methodological challenges for agent‐based models. These include recognizing and simulating emergent phenomena, agent representation, construction of behavioral rules, and calibration and validation. While advances in individual‐level data and computing power have opened up new research avenues, they have also brought wit…
The ODD Protocol for Describing Agent-Based and Other Simulation Models
by Volker Grimm, Steven F. Railsback, Christian E. Vincenot, Uta Berger, Cara Gallagher, Donald L. DeAngelis, Bruce Edmonds, Jiaqi Ge, Jarl Giske, Jürgen Groeneveld, Alice S.A. Johnston, Alexander Milles, Jacob Nabe-Nielsen, J. Gareth Polhill, Viktoriia Radchuk, Marie-Sophie Rohwäder, Richard A. Stillman, Jan C. Thiele and Daniel Ayllón
Modelling food security
New Chronology and Cultural Attribution of Archaeological Complexes at the Moiltyn Am Site in Central Mongolia
Geochronological and Archaeological Records of the Orkhon-7 site
Simulating the Actions of Commuters Using a Multi-Agent System
The activity of commuting to and from a place of work a ects not only those travelling but also wider society through their contribution to congestion and pollution. It is desirable to have a means of simulating commuting in order to allow organisations to predict the e ects of changes to working patterns and locations and inform decision making. In this paper we outline an agent-based so ware framework that combines realworld data from multiple …
Does Work-life Balance Affect Pro-environmental Behaviour? Evidence for the UK Using Longitudinal Microdata
Too much of a good thing? Using a spatial agent-based model to evaluate “unconventional” workplace sharing programmes
Exploring the Combined Effect of Factors Influencing Commuting Patterns and CO2 Emissions in Aberdeen Using an Agent-Based Model
This paper develops an agent-based model of the daily commute in Aberdeen City and the surrounding area in Scotland, UK. We study the impact of flexitime work arrangements, urban concentration, a new bypass, and cycle lanes on commute time length, reliability and CO 2 emissions, and analyse the diverse conflation of these factors and the di erent connections of them in order to detect their cumulative e ects. Our results suggest that flexitime wi…
Exploring the Combined Effect of Factors Influencing Commuting Patterns and CO2 Emissions in Aberdeen Using an Agent-Based Model
This paper develops an agent-based model of the daily commute in Aberdeen City and the surrounding area in Scotland, UK. We study the impact of flexitime work arrangements, urban concentration, a new bypass, and cycle lanes on commute time length, reliability and CO 2 emissions, and analyse the diverse conflation of these factors and the di erent connections of them in order to detect their cumulative e ects. Our results suggest that flexitime wi…
Does Work-life Balance Affect Pro-environmental Behaviour? Evidence for the UK Using Longitudinal Microdata
Too much of a good thing? Using a spatial agent-based model to evaluate “unconventional” workplace sharing programmes
New Chronology and Cultural Attribution of Archaeological Complexes at the Moiltyn Am Site in Central Mongolia
Geochronological and Archaeological Records of the Orkhon-7 site
Simulating the Actions of Commuters Using a Multi-Agent System
The activity of commuting to and from a place of work a ects not only those travelling but also wider society through their contribution to congestion and pollution. It is desirable to have a means of simulating commuting in order to allow organisations to predict the e ects of changes to working patterns and locations and inform decision making. In this paper we outline an agent-based so ware framework that combines realworld data from multiple …
The ODD Protocol for Describing Agent-Based and Other Simulation Models
by Volker Grimm, Steven F. Railsback, Christian E. Vincenot, Uta Berger, Cara Gallagher, Donald L. DeAngelis, Bruce Edmonds, Jiaqi Ge, Jarl Giske, Jürgen Groeneveld, Alice S.A. Johnston, Alexander Milles, Jacob Nabe-Nielsen, J. Gareth Polhill, Viktoriia Radchuk, Marie-Sophie Rohwäder, Richard A. Stillman, Jan C. Thiele and Daniel Ayllón
Modelling food security
Future Developments in Geographical Agent‐Based Models
Despite reaching a point of acceptance as a research tool across the geographical and social sciences, there remain significant methodological challenges for agent‐based models. These include recognizing and simulating emergent phenomena, agent representation, construction of behavioral rules, and calibration and validation. While advances in individual‐level data and computing power have opened up new research avenues, they have also brought wit…
Calibrating Agent-Based Models Using Uncertainty Quantification Methods
Agent-based models (ABMs) can be found across a number of diverse application areas ranging from simulating consumer behaviour to infectious disease modelling. Part of their popularity is due to their ability to simulate individual behaviours and decisions over space and time. However, whilst there are plentiful examples within the academic literature, these models are only beginning to make an impact within policy areas. Whilst frameworks such a…
An Agent-Based Simulation Model of Pedestrian Evacuation Based on Bayesian Nash Equilibrium
This research incorporates Bayesian game theory into pedestrian evacuation in an agent-based model. Three pedestrian behaviours were compared: Random Follow, Shortest Route and Bayesian Nash Equilibrium (BNE), as well as combinations of these. The results showed that BNE pedestrians were able to evacuate more quickly as they predict congestion levels in their next step and adjust their directions to avoid congestion, closely matching the behaviou…
Learning the rational choice perspective
Over the past 15 years, environmental criminologists have explored the application of agent-based models (ABMs) of crime events and various theoretical frameworks applied to understand them. Models have supported criminological theorising and, in some cases, been applied to make predictions about the impact of interventions devised to reduce crime. However, decision-making frameworks utilised in criminological ABMs have typically been implemented…
Modelling urban transition with coupled housing and labour markets
This study develops an agent-based model of urban transition, U-TRANS, with coupled housing and labour markets to simulate the transition of a city during a major industrial shift. We propose a dynamic, bottom-up framework incorporating the key interacting factors and micro mechanisms that drive the transition paths of cities. Using U-TRANS, we simulate a number of distinctive urban transition paths, from total collapse to weak recovery to enhanc…
From primary data to formalized decision-making
Model-based analyses can effectively contribute to investigating leverage points for sustainability transformations in agriculture. They allow for a systematic evaluation of policies under changing environmental, economic, or institutional conditions, and can be used to assess the effectiveness and efficiency of different policy designs. For analyzing agricultural systems, agent-based modeling is particularly useful because it can represent indiv…
Modelling emergent pedestrian evacuation behaviors from intelligent, game-playing agents
Much work has been done to understand complex crowd dynamics and self-organizing behaviors in high-density crowd situations. But most approaches for modelling pedestrian dynamics in emergencies require complex computations, making it difficult to capture multiple individual behaviors within a single model. This paper describes an agent-based model (ABM) that incorporates Bayesian game theory into pedestrian simulations. It assumes that players (a…
Calibrating a Global Trade Agent-Based Model with an HPC–ABC–SMC Framework
This study presents a High-Performance Computing and Approximate Bayesian Computation-Sequential Monte Carlo (HPC-ABC-SMC) framework for calibrating complex agent-based models.Applied to a global food trade model, the framework calibrates trade partner and trade volume objectives separately, using precomputed result mapping and task-level parallelisation to achieve up to a 42.1-fold computational efficiency improvement over traditional methods.Un…
Heterogeneity in Agent-Based Models
Agent-based models are flexible tools that allow modellers to capture heterogeneity in agent attributes, characteristics, and behaviours.In this paper, heterogeneity is defined as agent granularity, referring to the level of detail used to describe agent attributes, behaviours, interaction processes, and decision-making rules.However, the increased complexity associated with greater levels of heterogeneity, and hence more parameters, can make the…
Computer Science (11 works) · Engineering (6 works) · Economics (5 works) · Artificial Intelligence (4 works) · Business (4 works) · Transport engineering (4 works) · Transportation and Mobility Innovations (4 works) · Transportation Planning and Optimization (4 works) · Geography (3 works) · Management science (3 works)