AGENT-BASED MODELING FRAMEWORK FOR ELECTRIC VEHICLE ADOPTION TRANSITION IN INDONESIA Dita Novizayanti[1,2], Eko Agus Prasetio[1,2], Manahan Siallagan[1], Sigit Puji Santosa[2,3]
[1] School of Business and Management, Institut Teknologi Bandung, Bandung 40132, Indonesia-
[2] National Center for Sustainable Transportation Technology, Bandung 40132, Indonesia-
[3] Faculty of Mechanical and Aerospace Engineering, Institut Teknologi Bandung, Bandung 40132,
Indonesia.
Abstract
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
