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ID 115818
著者
キーワード
greenhouse gas emission
multi-agent simulation
hierarchical Bayesian modeling
carbon tax
資料タイプ
学術雑誌論文
抄録
Not only purchase of electric vehicle but also modal shift from vehicle traffic should be promoted for reduction of greenhouse gas emission. Effect of transport policies for reduction of carbon dioxide emission should be estimated properly with simulating vehicle traffic on a target road network. For the purpose, it is aimed that the integrated network transport simulator is developed based on the multi-agent simulation model to evaluate transport policies for reduction of CO2 emission in the present study. The proposed integrated network transport simulator consists of the vehicle traffic simulation model, the travel mode choice model and the vehicle choice model. CO2 emission is estimated with the vehicle traffic simulation model. The decision processes of the vehicle choice and the travel mode choice are respectively described considering with the social interaction. It is assumed that not only the conformity effect but also non-conformity effect should be considered as the social influence. Therefore, hierarchical Bayesian modeling is applied to describe the vehicle choice and the travel mode choice considering with heterogeneity and social interaction. The model parameters are estimated with the database of questionnaire survey in a local city of Japan and the proposed simulator is applied to estimate the effect of the carbon tax. The reduction of carbon dioxide emission as the effect of the policies is estimated using the proposed integrated network transport simulator. From the view point of CO2 emission, it can be found that the effect of reducing CO2 emissions with only the carbon tax is limited since the spread of low emission vehicles is hindered and the rate of sustainable transport mode goes down, although the EV will be popularized.
掲載誌名
Transportation Research Procedia
ISSN
23521465
出版者
Elsevier
34
開始ページ
283
終了ページ
290
発行日
2018-12-04
権利情報
This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/)
EDB ID
出版社版DOI
出版社版URL
フルテキストファイル
言語
eng
著者版フラグ
出版社版
部局
理工学系