Volume 03: Proceedings of 11th International Conference on Applied Energy, Part 2, Sweden, 2019

Relocated Transport Carbon Emission after Electric Vehicle Promotion in Tokyo, Japan-Analysis Based on Big Data and Supply Chain Zhang Qiong, Long Yin, Zhang Haoran

Abstract

Petroleum contributes to more than 90% of the total energy consumption mix in the transport system, and transport emission releases approximately 14% of total greenhouse gas emission. To achieve emission reduction target of the transport sector, vehicle electrification is widely discussed under the concept of the next generation transportation system. In this study, we select Tokyo city as case study and collect personal travel data across the year of 2011. Travel model is classified by walk, bicycle, train and vehicle by Big Data. After capturing gasoline consumption distribution, this study further discusses the carbon emission distribution by city-scale input-output data. Findings firstly indicate the transport emission distribution has largely relocated after the vehicle electrification. The result also shows although the indirect emission after electrification has increased 1.167 times than before, the total emission has decreased by 73% and has a considerable reduction potentiality in the future.

Keywords Transport emission, Vehicle electrification, Personal travel mode, Indirect emission, Input-output analysis

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