An Agent-Based Model to Simulate the Diffusion of New Energy Vehicles

This paper demonstrates the use of an agent-based model (ABM) to study the mechanism of social influence in the diffusion of new energy vehicles. We introduce the “consumat” cognition model so that agents with different need satisfaction thresholds have different cognitive processes. In addition, su...

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Main Authors: Hao Zhang, Peifeng Zhu, Zhichao Yao
Format: Article
Language:English
Published: Wiley 2023-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2023/6773087
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author Hao Zhang
Peifeng Zhu
Zhichao Yao
author_facet Hao Zhang
Peifeng Zhu
Zhichao Yao
author_sort Hao Zhang
collection DOAJ
description This paper demonstrates the use of an agent-based model (ABM) to study the mechanism of social influence in the diffusion of new energy vehicles. We introduce the “consumat” cognition model so that agents with different need satisfaction thresholds have different cognitive processes. In addition, supported by survey data, our study considers more characteristics of opinion leaders, such as innovative behavior, lower sensitivity to price influence, and a better ability to judge the product quality. Through the primary group and control group experiments, the simulations demonstrated that the opinion leaders play a significant role in the spread of information and the percentage of product adoption. The results indicate that targeting opinion leaders will be a valuable marketing strategy for new energy vehicles. It also provides some advice for assessing policies that promote sustainable behaviors.
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institution DOAJ
issn 1099-0526
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publishDate 2023-01-01
publisher Wiley
record_format Article
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spelling doaj-art-6742fea3f92f4d1790c8780dfd037df62025-08-20T03:18:01ZengWileyComplexity1099-05262023-01-01202310.1155/2023/6773087An Agent-Based Model to Simulate the Diffusion of New Energy VehiclesHao Zhang0Peifeng Zhu1Zhichao Yao2College of Economics & ManagementSchool of Health Economics & ManagementCollege of Economics & ManagementThis paper demonstrates the use of an agent-based model (ABM) to study the mechanism of social influence in the diffusion of new energy vehicles. We introduce the “consumat” cognition model so that agents with different need satisfaction thresholds have different cognitive processes. In addition, supported by survey data, our study considers more characteristics of opinion leaders, such as innovative behavior, lower sensitivity to price influence, and a better ability to judge the product quality. Through the primary group and control group experiments, the simulations demonstrated that the opinion leaders play a significant role in the spread of information and the percentage of product adoption. The results indicate that targeting opinion leaders will be a valuable marketing strategy for new energy vehicles. It also provides some advice for assessing policies that promote sustainable behaviors.http://dx.doi.org/10.1155/2023/6773087
spellingShingle Hao Zhang
Peifeng Zhu
Zhichao Yao
An Agent-Based Model to Simulate the Diffusion of New Energy Vehicles
Complexity
title An Agent-Based Model to Simulate the Diffusion of New Energy Vehicles
title_full An Agent-Based Model to Simulate the Diffusion of New Energy Vehicles
title_fullStr An Agent-Based Model to Simulate the Diffusion of New Energy Vehicles
title_full_unstemmed An Agent-Based Model to Simulate the Diffusion of New Energy Vehicles
title_short An Agent-Based Model to Simulate the Diffusion of New Energy Vehicles
title_sort agent based model to simulate the diffusion of new energy vehicles
url http://dx.doi.org/10.1155/2023/6773087
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