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The analysis of travel and emission impacts of travel demand management strategies using activity-based models

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  • Yoram Shiftan
  • John Suhrbier

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  • Yoram Shiftan & John Suhrbier, 2002. "The analysis of travel and emission impacts of travel demand management strategies using activity-based models," Transportation, Springer, vol. 29(2), pages 145-168, May.
  • Handle: RePEc:kap:transp:v:29:y:2002:i:2:p:145-168
    DOI: 10.1023/A:1014267003243
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    References listed on IDEAS

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    1. Skamris, Mette K. & Flyvbjerg, Bent, 1997. "Inaccuracy of traffic forecasts and cost estimates on large transport projects," Transport Policy, Elsevier, vol. 4(3), pages 141-146, July.
    2. Pendyala, Ram M. & Kitamura, Ryuichi & Chen, Cynthia & Pas, Eric I., 1997. "An activity-based microsimulation analysis of transportation control measures," Transport Policy, Elsevier, vol. 4(3), pages 183-192, July.
    3. Patrick Bonnel, 1995. "An application of activity-based travel analysis to simulation of change in behaviour," Post-Print halshs-00140866, HAL.
    4. Chandra Bhat & Frank Koppelman, 1999. "A retrospective and prospective survey of time-use research," Transportation, Springer, vol. 26(2), pages 119-139, May.
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    Cited by:

    1. Maggi, Elena & Vallino, Elena, 2016. "Understanding urban mobility and the impact of public policies: The role of the agent-based models," Research in Transportation Economics, Elsevier, vol. 55(C), pages 50-59.
    2. Timothy Welch & Sabyasachee Mishra, 2014. "Envisioning an emission diet: application of travel demand mechanisms to facilitate policy decision making," Transportation, Springer, vol. 41(3), pages 611-631, May.
    3. Carolien Beckx & Luc Int Panis & Jean Vankerkom & Davy Janssens & Geert Wets & Theo Arentze, 2009. "An Integrated Activity-Based Modelling Framework to Assess Vehicle Emissions: Approach and Application," Environment and Planning B, , vol. 36(6), pages 1086-1102, December.
    4. Daniel Shefer, 2014. "Sustainable Transportation and Urban Development," ERSA conference papers ersa14p306, European Regional Science Association.
    5. Bobin Wang & Chunfu Shao & Xun Ji, 2017. "Influencing Mechanism Analysis of Holiday Activity–Travel Patterns on Transportation Energy Consumption and Emissions in China," Energies, MDPI, vol. 10(7), pages 1-20, July.
    6. Mokhtarian, Patricia L. & Ye, Liang & Yun, Meiping, 2010. "The Effects of Gender on Commuter Behavior Changes in the Context of a Major Freeway Construction," Institute of Transportation Studies, Working Paper Series qt86c4v6cr, Institute of Transportation Studies, UC Davis.
    7. Ko, Joonho & Kim, Daejin, 2017. "Employer-based travel demand management program: Employer’s choice and effectiveness," Transport Policy, Elsevier, vol. 59(C), pages 1-9.
    8. Marianne Hatzopoulou & Jiang Hao & Eric Miller, 2011. "Simulating the impacts of household travel on greenhouse gas emissions, urban air quality, and population exposure," Transportation, Springer, vol. 38(6), pages 871-887, November.
    9. Marlies Vanhulsel & Carolien Beckx & Davy Janssens & Koen Vanhoof & Geert Wets, 2011. "Measuring dissimilarity of geographically dispersed space–time paths," Transportation, Springer, vol. 38(1), pages 65-79, January.
    10. Malayath, Manoj & Verma, Ashish, 2013. "Activity based travel demand models as a tool for evaluating sustainable transportation policies," Research in Transportation Economics, Elsevier, vol. 38(1), pages 45-66.
    11. Yoram Shiftan & Moshe Ben-Akiva, 2011. "A practical policy-sensitive, activity-based, travel-demand model," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 47(3), pages 517-541, December.
    12. Maggi,Elena & Vallino,Elena, 2017. "An Agent-Based Simulation of Urban Passenger Mobility and Related Policies. The Case Study of an Italian Small City," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201708, University of Turin.
    13. Jinbao Zhao & Wei Deng & Yan Song & Yueran Zhu, 2014. "Analysis of Metro ridership at station level and station-to-station level in Nanjing: an approach based on direct demand models," Transportation, Springer, vol. 41(1), pages 133-155, January.

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