COST-BASED ANALYSIS OF CONVENTIONAL AND AUTONOMOUS MOBILE SERVICES IN INDONESIA

Since 2012, Autonomous Vehicle (AV) is to be a spotlight issue in several countries. In the theme of “Ready for Automated Driving”, some automobile manufacturer and technology representative join to its first seminar and gives their view. Many benefit are stated on this seminar held in Washing...

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Bibliographic Details
Main Author: Faozal Holieff (19015034), Meygantara
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/28877
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Institution: Institut Teknologi Bandung
Language: Indonesia
Description
Summary:Since 2012, Autonomous Vehicle (AV) is to be a spotlight issue in several countries. In the theme of “Ready for Automated Driving”, some automobile manufacturer and technology representative join to its first seminar and gives their view. Many benefit are stated on this seminar held in Washington, USA. On the other hand, Swiss also develop this technology. They develop and conduct the research especially in term of cost structure. They found the substantial changes after applying this technology. <br /> <br /> <br /> <br /> In Indonesia, Autonomous Vehicle is interesting to be developed. In the uncertainty condition after ride sharing mode dominate the transportation market, an innovation such as autonomous vehicle is needed to compete each other. This research are conducted to analyze the benefit contribution if it is implemented in the conventional transportation mode. The benefit can be caught if there is any substantial changing in cost structure. Autonomous technology is assumed to replace the human driver which impact to reducing variable cost. This technology also might change the fixed cost for a long-term. <br /> <br /> <br /> <br /> Using coding providing by ETH Zurich, this research will focus on cost structure changing while this technology is implemented in Indonesia as the beginning. Then, this research will provide this finding to measure the intention to use of the customer in Indonesia. There are 7 factor that influence the customer to intent to use. They are Performance Expectancy, Effort Expectancy, Anxiety about Self-driving, AV knowledge, Household size, Family Spending, and Gender. This research find that the market have an economic concern where AV provide cost efficiency. It is potential benefit opportunity both for provider and consumer. Therefore, this research hopefully can generate recommendation for all parties in implementation of this technology in Indonesia.