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 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

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 Agent-Based Modeling Framework for Electric Vehicle Adoption Transition in Indonesia

2021 ◽  
Vol 12 (2) ◽  
pp. 73
Author(s):  
Dita Novizayanti ◽  
Eko Agus Prasetio ◽  
Manahan Siallagan ◽  
Sigit Puji Santosa
Keyword(s):  
Electric Vehicles ◽  
Data Analytics ◽  
Agent Based Modeling ◽  
Analysis Framework ◽  
Modeling Framework ◽  
Agent Based ◽  
Twitter Data ◽  
Decision Making Processes ◽  
Electric Vehicle Adoption ◽  
Technical Features

Currently, the adoption of electric vehicles (EV) draws much attention, as the environmental issue of reducing carbon emission is increasing worldwide. However, different countries face different challenges during this transition, particularly developing countries. This research aims to create a framework for the transition to EV in Indonesia through Agent-Based Modeling (ABM). The framework is used as the conceptual design for ABM to investigate the effect of agents’ decision-making processes at the microlevel into the number of adopted EV at the macrolevel. The cluster analysis is equipped to determine the agents’ characteristics based on the categories of the innovation adopters. There are 11 significant variables and four respondents’ clusters: innovators, early majority, late majority, and the uncategorized one. Moreover, Twitter data analytics are utilized to investigate the information engagement coefficient based on the agents’ location. The agents’ characteristics which emerged from this analysis framework will be used as the fundamental for investigating the effect of agents’ specific characteristics and their interaction through ABM for further research. It is expected that this framework will enable the discovery of which incentive scheme or critical technical features effectively increase the uptake of EV according to the agents’ specific characteristics.

Capturing the Effects of Gentrification on Property Values: An Agent-Based Modeling Approach

2021 ◽  
pp. 245-264
Author(s):  
Niloofar Bagheri-Jebelli ◽  
Andrew Crooks ◽  
William G. Kennedy
Keyword(s):  
Property Values ◽  
Agent Based Modeling ◽  
Agent Based ◽  
Modeling Approach

Inside the Mind of the Nonfiler: An Agent-Based Modeling Approach

2021 ◽  
pp. 213-244
Author(s):  
Melissa Vigil ◽  
Thi Nguyen ◽  
Ellen Badgley
Keyword(s):  
Agent Based Modeling ◽  
Agent Based ◽  
Modeling Approach ◽  
The Mind
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