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Enhancing Transportation Education through On-line Simulation using an Agent-Based Demand and Assignment Model

Author

Listed:
  • Shanjiang Zhu
  • Feng Xie
  • David Levinson

    (Nexus (Networks, Economics, and Urban Systems) Research Group, Department of Civil Engineering, University of Minnesota)

Abstract

This research explores the effectiveness of using simulation as a tool for enhancing classroom learning in the Civil Engineering Department of the University of Minnesota at Twin Cities. The authors developed a modern transportation planning software package, Agent-based Demand and Assignment Model (ADAM), that is consistent with our present understanding of travel behavior, that is platform independent, and that is easy to learn and is thus usable by students. An in-class project incorporated ADAM and the performance of this education strategy was evaluated through pre-class survey, post-class survey, scores in the quiz focusing on travel demand modeling and final scores. Results showed that ADAM effectively enhanced students' self-reported understanding of transportation planning and their skills of forming opinions, evaluating projects and making judgments. Students of some learning styles were found to benefit more than others through simulation-based teaching strategy. Findings in this research could have significant implications for future practice of simulation-based teaching strategy.

Suggested Citation

  • Shanjiang Zhu & Feng Xie & David Levinson, 2005. "Enhancing Transportation Education through On-line Simulation using an Agent-Based Demand and Assignment Model," Working Papers 201101, University of Minnesota: Nexus Research Group.
  • Handle: RePEc:nex:wpaper:adam-education
    as

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    File URL: http://hdl.handle.net/11299/180006
    File Function: First version, 2007
    Download Restriction: no
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    References listed on IDEAS

    as
    1. Pavithra Parthasarathi & David M. Levinson & Ramachandra Karamalaputi, 2003. "Induced Demand: A Microscopic Perspective," Urban Studies, Urban Studies Journal Limited, vol. 40(7), pages 1335-1351, June.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    JEL classification:

    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise
    • R42 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government and Private Investment Analysis; Road Maintenance; Transportation Planning
    • R48 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government Pricing and Policy
    • A23 - General Economics and Teaching - - Economic Education and Teaching of Economics - - - Graduate

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