Determining policy recommendations towards electric vehicles incentives in Jakarta using AHP-Entropy

One solution for diminishing carbon outflows is to provide electric vehicles (EV), which can help the sustainable development of the ecosystem in an environmentally way. Jakarta, as a capital city with high levels of pollution, has forced the government to recognize the need for policymakers to correct environmental failures through effective policy solutions. To support policy-driven adoption of EV, incentives shall be given to stimulate EV users. Current regulations have not yet explained regulations for EV's, direct and indirect consumer benefits, infrastructure for charging, and complementary policies. This paper will compare the world's best EV policy which will determine the main policy criteria to be developed for Jakarta's regulation using the analytical hierarchy process and entropy method in giving scaled preferences of sets of standards and alternatives with acceptable inconsistency. AHP is used to determine initial subjective weights from experts, while then entropy will enhance AHP's weights into objective weight. This study shows that charging infrastructure is the most influential criterion among other criteria followed by consumer incentive, both direct and indirect, complimentary policies, and regulatory incentives. Therefore, it is highly recommended that Jakarta's government develop EV's incentive policy in detail as the order above.