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  4. Agent-based Simulation for Market Diffusion of Passenger Cars and Motorcycles BEV in Greater Jakarta Area
 
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2024
Report
Title

Agent-based Simulation for Market Diffusion of Passenger Cars and Motorcycles BEV in Greater Jakarta Area

Abstract
Battery electric vehicles (BEV) present a promising approach to decarbonizing the transportation sector. This extends beyond electric passenger cars, such as electric motorcycles that hold significant potential in emerging markets with high population density and income disparities. However, providing access to infrastructure remains a challenge in increasing BEV adoption. This research endeavours to determine BEV passenger cars (BEV-PC) and motorcycles (BEV-MC) market diffusion within an emerging market city, focusing on the Greater Jakarta Area, utilizing an Agent-Based Model that considers charging infrastructure availability. Findings indicate that BEV-PC diffusion could attain about 9% of the total vehicle stock by 2030 and almost 75% by 2050 under the Current Policy. Similarly, BEV-MC adoption rates may reach 39% by 2030 and 80% by 2050. Introducing a vehicle purchase subsidy along with full abolishment of fossil fuel subsidies could amplify the diffusion of BEV-PC and BEV-MC to almost triple and double in 2030, respectively.
Author(s)
Nugroho, Rizqi Ilma
Universitas Indonesia, Faculty of Engineering, Chemical Engineering Department
Gnann, Till  orcid-logo
Fraunhofer-Institut für System- und Innovationsforschung ISI  
Speth, Daniel  orcid-logo
Fraunhofer-Institut für System- und Innovationsforschung ISI  
Purwanto, Widodo W.
Universitas Indonesia, Faculty of Engineering, Chemical Engineering Department
Hanafi, Jessica
PT. Life Cycle Indonesia
Soehodho, Sutanto
Universitas Indonesia, Faculty of Engineering, Civil Engineering Department
Corporate Author
Fraunhofer-Institut für System- und Innovationsforschung ISI  
Publisher
Fraunhofer ISI  
File(s)
Download (2.77 MB)
Rights
Use according to copyright law
DOI
10.24406/publica-2986
Language
English
Fraunhofer-Institut für System- und Innovationsforschung ISI  
Keyword(s)
  • Battery electric vehicles (BEV)

  • BEV passenger cars (BEV-PC)

  • BEV motorcycles (BEV-MC)

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