Multimodal Transportation Demand Forecast Using System Dynamics and Agent-Based Models

2012 ◽  
Author(s):  
Jung-ho Lewe ◽  
Ludovic Hivin ◽  
Dimitri Mavris
Keyword(s):  
System Dynamics ◽  
Agent Based Models ◽  
Demand Forecast ◽  
Multimodal Transportation ◽  
Transportation Demand ◽  
Agent Based

scholarly journals A Hybrid Simulation Modelling Framework for Combining System Dynamics and Agent-Based Models

2021 ◽  
Author(s):  
Le Khanh Ngan Nguyen ◽  
◽  
Susan Howick ◽  
Itamar Megiddo ◽  
◽  
...  
Keyword(s):  
System Dynamics ◽  
Hybrid Simulation ◽  
Simulation Modelling ◽  
Agent Based Models ◽  
Agent Based ◽  
Modelling Framework

scholarly journals Mathematical modelling for health systems research: a systematic review of system dynamics and agent-based models

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Rachel Cassidy ◽  
Neha S. Singh ◽  
Pierre-Raphaël Schiratti ◽  
Agnes Semwanga ◽  
Peter Binyaruka ◽  
...  
Keyword(s):  
Systematic Review ◽  
Mathematical Modelling ◽  
System Dynamics ◽  
Health System ◽  
Health Systems ◽  
Agent Based Models ◽  
Hybrid Modelling ◽  
Agent Based ◽  
System Functioning ◽  
The Impact

Abstract Background Mathematical modelling has been a vital research tool for exploring complex systems, most recently to aid understanding of health system functioning and optimisation. System dynamics models (SDM) and agent-based models (ABM) are two popular complementary methods, used to simulate macro- and micro-level health system behaviour. This systematic review aims to collate, compare and summarise the application of both methods in this field and to identify common healthcare settings and problems that have been modelled using SDM and ABM. Methods We searched MEDLINE, EMBASE, Cochrane Library, MathSciNet, ACM Digital Library, HMIC, Econlit and Global Health databases to identify literature for this review. We described papers meeting the inclusion criteria using descriptive statistics and narrative synthesis, and made comparisons between the identified SDM and ABM literature. Results We identified 28 papers using SDM methods and 11 papers using ABM methods, one of which used hybrid SDM-ABM to simulate health system behaviour. The majority of SDM, ABM and hybrid modelling papers simulated health systems based in high income countries. Emergency and acute care, and elderly care and long-term care services were the most frequently simulated health system settings, modelling the impact of health policies and interventions such as those targeting stretched and under resourced healthcare services, patient length of stay in healthcare facilities and undesirable patient outcomes. Conclusions Future work should now turn to modelling health systems in low- and middle-income countries to aid our understanding of health system functioning in these settings and allow stakeholders and researchers to assess the impact of policies or interventions before implementation. Hybrid modelling of health systems is still relatively novel but with increasing software developments and a growing demand to account for both complex system feedback and heterogeneous behaviour exhibited by those who access or deliver healthcare, we expect a boost in their use to model health systems.

scholarly journals Validation of Agent-based Approach for Simulating the Conversion to Organic Farming

Organizacija ◽  
2017 ◽  
Vol 50 (3) ◽  
pp. 235-242
Author(s):  
Črtomir Rozman ◽  
Andrej Škraba ◽  
Karmen Pažek ◽  
Davorin Kofjač
Keyword(s):  
System Dynamics ◽  
Organic Farming ◽  
Agricultural Sector ◽  
Agent Based Modeling ◽  
Agent Based Model ◽  
Dynamics Model ◽  
Agent Based Models ◽  
Geospatial Information ◽  
Agent Based ◽  
Comparison Of The Results

Abstract Background and Purpose: The purpose of this study is to describe the principles of the development of parallel system-dynamics and agent-based models of organic farming for the case of Slovenia. The advantage of agent-based modeling is demonstrated by including geospatial information as an agent attribute. The models were compared by the validation, confirming the appropriate level of similarity. Design/Methodology/Approach: Both system-dynamics and agent-based modeling approaches were applied. Statistical methods were used in the validation. Results: The results of the validation confirm the appropriateness of the proposed agent-based model. Introducing additional attributes into the agent-based model provides an important advantage over the system-dynamics model, which serves as the paradigmatic example. Conclusion: A thorough validation and comparison of the results of the system-dynamics and agent-based models indicates the proper approach to combining the methodologies. This approach is promising, because it enables the modeling of the entire agricultural sector, taking each particular farm into account.

Sign in / Sign up

Export Citation Format

Share Document