scholarly journals Spatio-temporal simulation of the novel coronavirus (COVID-19) outbreak using the agent-based modeling approach (case study: Urmia, Iran)

2020 ◽  
Vol 20 ◽  
pp. 100403 ◽  
Author(s):  
Navid Mahdizadeh Gharakhanlou ◽  
Navid Hooshangi
Keyword(s):  
Agent Based Modeling ◽  
The Novel ◽  
Agent Based ◽  
Modeling Approach ◽  
Spatio Temporal ◽  
Novel Coronavirus

An agent-based modeling approach to predict the evolution of market share of electric vehicles: A case study from Iceland

2012 ◽  
Vol 79 (9) ◽  
pp. 1638-1653 ◽  
Author(s):  
Ehsan Shafiei ◽  
Hedinn Thorkelsson ◽  
Eyjólfur Ingi Ásgeirsson ◽  
Brynhildur Davidsdottir ◽  
Marco Raberto ◽  
...  
Keyword(s):  
Market Share ◽  
Electric Vehicles ◽  
Agent Based Modeling ◽  
Agent Based ◽  
Modeling Approach

scholarly journals AGENT BASED MODELING: FINE-SCALE SPATIO-TEMPORAL ANALYSIS OF PERTUSSIS

2017 ◽  
Vol IV-4/W2 ◽  
pp. 37-46
Author(s):  
D. A. Mills
Keyword(s):  
Asymptomatic Carrier ◽  
Temporal Analysis ◽  
Agent Based Modeling ◽  
Fine Scale ◽  
Individual Agent ◽  
Agent Based ◽  
Asymptomatic Carriers ◽  
Temporal Variables ◽  
Spatio Temporal

In epidemiology, spatial and temporal variables are used to compute vaccination efficacy and effectiveness. The chosen resolution and scale of a spatial or spatio-temporal analysis will affect the results. When calculating vaccination efficacy, for example, a simple environment that offers various ideal outcomes is often modeled using coarse scale data aggregated on an annual basis. In contrast to the inadequacy of this aggregated method, this research uses agent based modeling of fine-scale neighborhood data centered around the interactions of infants in daycare and their families to demonstrate an accurate reflection of vaccination capabilities. Despite being able to prevent major symptoms, recent studies suggest that acellular Pertussis does not prevent the colonization and transmission of Bordetella Pertussis bacteria. After vaccination, a treated individual becomes a potential asymptomatic carrier of the Pertussis bacteria, rather than an immune individual. Agent based modeling enables the measurable depiction of asymptomatic carriers that are otherwise unaccounted for when calculating vaccination efficacy and effectiveness. Using empirical data from a Florida Pertussis outbreak case study, the results of this model demonstrate that asymptomatic carriers bias the calculated vaccination efficacy and reveal a need for reconsidering current methods that are widely used for calculating vaccination efficacy and effectiveness.

scholarly journals Determining the Number of Passengers for Each of Three Reverse Pyramid Boarding Groups with COVID-19 Flying Restrictions

Symmetry ◽  
2020 ◽  
Vol 12 (12) ◽  
pp. 2038
Author(s):  
Camelia Delcea ◽  
R. John Milne ◽  
Liviu-Adrian Cotfas
Keyword(s):  
Health Risk ◽  
Recent Literature ◽  
Agent Based Modeling ◽  
The Novel ◽  
Agent Based ◽  
Social Distancing ◽  
Relative Preference ◽  
Search Optimization ◽  
Airport Terminal ◽  
Novel Coronavirus

The onset of the novel coronavirus SARS-CoV2 has changed many aspects of people’s economic and social activities. For many airlines, social distancing has reduced airplane capacity by one third as a result of keeping the middle seats empty. Additionally, social distancing between passengers traversing the aisle slows the boarding process. Recent literature has suggested that the reverse pyramid boarding method provides favorable values for boarding time and passenger health metrics when compared to other boarding methods with social distancing. Assuming reverse pyramid boarding with the middle seats unoccupied, we determined the number of passengers to include in each of three boarding groups. We assumed that passengers use a jet-bridge that connects the airport terminal to the airplane’s front door. We used agent-based modeling and a stochastic simulation to evaluate solutions. A full grid search found an initial good solution, and then local search optimization determined the best solution based upon the airline’s relative preference for minimizing average boarding time and minimizing risks to previously seated passengers from later-boarding, potentially contagious passengers breathing near them. The resulting solution contained the number of passengers to place into each of the three boarding groups. If an airline is most concerned about the health risk to seated passengers from later boarding passengers walking near them, the best three-group reverse pyramid method adapted for social distancing will first board passengers with window seats in the rear half of the airplane, then will board passengers with window seats in the front half of the airplane and those with aisle seats in the rear half of the airplane, and finally will board the passengers with aisle seats in the front half of the airplane. The resulting solution takes about 2% longer to board than the three-group solution that minimizes boarding time while providing a 25% decrease in health risk to aisle seat passengers from later boarding passengers.

scholarly journals Farmer's willingness to adopt private and collective biogas facilities: An agent-based modeling approach

2021 ◽  
Vol 167 ◽  
pp. 105400
Author(s):  
Vanessa Burg ◽  
Klaus G. Troitzsch ◽  
Deniz Akyol ◽  
Urs Baier ◽  
Stefanie Hellweg ◽  
...  
Keyword(s):  
Agent Based Modeling ◽  
Agent Based ◽  
Modeling Approach ◽  
Willingness To Adopt

scholarly journals Multi-Criteria, Co-Evolutionary Charging Behavior: An Agent-Based Simulation of Urban Electromobility

2021 ◽  
Vol 12 (1) ◽  
pp. 18
Author(s):  
Lennart Adenaw ◽  
Markus Lienkamp
Keyword(s):  
Urban Areas ◽  
City Planning ◽  
User Behavior ◽  
Transport Sector ◽  
Simulation Framework ◽  
Agent Based Simulation ◽  
Agent Based ◽  
Charging Station ◽  
Spatio Temporal

In order to electrify the transport sector, scores of charging stations are needed to incentivize people to buy electric vehicles. In urban areas with a high charging demand and little space, decision-makers are in need of planning tools that enable them to efficiently allocate financial and organizational resources to the promotion of electromobility. As with many other city planning tasks, simulations foster successful decision-making. This article presents a novel agent-based simulation framework for urban electromobility aimed at the analysis of charging station utilization and user behavior. The approach presented here employs a novel co-evolutionary learning model for adaptive charging behavior. The simulation framework is tested and verified by means of a case study conducted in the city of Munich. The case study shows that the presented approach realistically reproduces charging behavior and spatio-temporal charger utilization.

Investigating transmission dynamics of influenza in a public indoor venue: An agent-based modeling approach

2021 ◽  
Vol 157 ◽  
pp. 107327
Author(s):  
Yuan Zhou ◽  
Alexander Nikolaev ◽  
Ling Bian ◽  
Li Lin ◽  
Lin Li
Keyword(s):  
Agent Based Modeling ◽  
Transmission Dynamics ◽  
Agent Based ◽  
Modeling Approach

scholarly journals COVID-19 Pandemic Response Simulation in a Large City: Impact of Nonpharmaceutical Interventions on Reopening Society

2021 ◽  
pp. 0272989X2110030
Author(s):  
Serin Lee ◽  
Zelda B. Zabinsky ◽  
Judith N. Wasserheit ◽  
Stephen M. Kofsky ◽  
Shan Liu
Keyword(s):  
Large City ◽  
Face Mask ◽  
School Closure ◽  
Contact Tracing ◽  
The Novel ◽  
Agent Based ◽  
Social Distancing ◽  
Variable Compliance ◽  
Novel Coronavirus ◽  
Nonpharmaceutical Interventions

As the novel coronavirus (COVID-19) pandemic continues to expand, policymakers are striving to balance the combinations of nonpharmaceutical interventions (NPIs) to keep people safe and minimize social disruptions. We developed and calibrated an agent-based simulation to model COVID-19 outbreaks in the greater Seattle area. The model simulated NPIs, including social distancing, face mask use, school closure, testing, and contact tracing with variable compliance and effectiveness to identify optimal NPI combinations that can control the spread of the virus in a large urban area. Results highlight the importance of at least 75% face mask use to relax social distancing and school closure measures while keeping infections low. It is important to relax NPIs cautiously during vaccine rollout in 2021.

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