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Evaluation of Special Lanes as Incentive Policies for Promoting Electric Vehicles

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Agent Based Simulation for a Sustainable Society and Multi-agent Smart Computing (PRIMA 2011)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7580))

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Abstract

In this study, we evaluate the effects of electric vehicle (EV) lanes in which only EV drivers enjoy the benefits of a reduction of travel time like the HOV lanes, and EV/Toll lanes whose charging system is similar to HOT lanes. The multi-class combined equilibrium model including a nested logit model to describe the traveler’s behavior of each EV owners and non-owners is developed. The differences in service levels between EV drivers and non-EV drivers are not only a travel time under the special network for EV but also travel costs. If EV diffusion rate in the Nagoya metropolitan area is 10% and EV/Toll lanes are introduced, the incentive for owning EV is ensured, and the social surplus is improved than before the introduction of special lanes.

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Author information

Authors and Affiliations

  1. School of Techno-Business Administration, Nagoya Institute of Technology, Gokiso-cho, Showa-ku, Nagoya, 466-8555, Japan

    Ryo Kanamori & Takayuki Ito

  2. Department of Environmental Engineering and Architecture, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, 464-8603, Japan

    Takayuki Morikawa

Authors
  1. Ryo Kanamori
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  2. Takayuki Morikawa
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  3. Takayuki Ito
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Editor information

Editors and Affiliations

  1. Department of Information Science, University of Otago, 60 Clyde Street, 9016, Dunedin, New Zealand

    Stephen Cranefield

  2. School of Business Information Technology, and Psychology, James Cook University, Australia

    Insu Song

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© 2012 Springer-Verlag Berlin Heidelberg

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Kanamori, R., Morikawa, T., Ito, T. (2012). Evaluation of Special Lanes as Incentive Policies for Promoting Electric Vehicles. In: Cranefield, S., Song, I. (eds) Agent Based Simulation for a Sustainable Society and Multi-agent Smart Computing. PRIMA 2011. Lecture Notes in Computer Science(), vol 7580. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35612-4_6

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  • DOI: https://doi.org/10.1007/978-3-642-35612-4_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35611-7

  • Online ISBN: 978-3-642-35612-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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