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Design and Assessment of Integrated Transportation Demand Management Policies for Urban Commuter Trips

Habibian, Meeghat | 2011

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  1. Type of Document: Ph.D. Dissertation
  2. Language: Farsi
  3. Document No: 42461 (09)
  4. University: Sharif University of Technology
  5. Department: Civil Engineering
  6. Advisor(s): Kermanshah, Mohammad
  7. Abstract:
  8. Integration of transportation demand management (TDM) policies, as a realistic and effective approach, is a challenging issue in urban policy studies. This study examines the role of transportation demand management (TDM) policy packages on commuters' mode choice in the city of Tehran. The analysis is based on the results of stated preferences survey developed by efficient choice design as a specialized type of fractional factorial design approach. Five policies, namely increasing parking cost, increasing fuel cost, cordon pricing, transit time reduction and transit access improvement, are assessed in considering six modes of travel to work place. A multinomial logit model has been developed for a sample of 366 commuters who regularly travel to their workplaces in the center of the city. In addition to a number of commuting and contextual variables, the model shows that push policies are more effective than pull ones. Furthermore, this study examines the role of TDM policies interactions overall and in detail. At the overall level, results show that the introduction of two-way interactions in the model could upgrade the goodness of fit as 15 percent. At the detail level, the synergy of any two considered policies is measured. Results show that, in general, the synergy is a function of the levels of the policies. For example, integration of increasing parking cost with cordon pricing, or increasing fuel cost, has a synergy in higher pricing levels of these policies, where the integration of the other two (i.e., cordon pricing and increasing fuel cost) has no synergy in the ranges examined. Furthermore, the study shows that minimum threshold values are required for two policies in order to show synergy
  9. Keywords:
  10. Logit Model ; Transportation Demand Management ; Interaction ; Synergy ; Mode Choice ; Fractional Factorial Design ; Efficient Choice Design

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