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Effects of Transportation Policies on Change Mode Behavior of Women and Men:Case Study of Tehran

Shahangian, Rayhaneh Sadat | 2013

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  1. Type of Document: Ph.D. Dissertation
  2. Language: Farsi
  3. Document No: 44015 (09)
  4. University: Sharif University of Technology
  5. Department: Civil Engineering
  6. Advisor(s): Kermanshah, Mohammad
  7. Abstract:
  8. Several studies have indicated that responses to policies intended to reduce car use may fall short of the predicted or desired response, suggesting a need for improved behavioral models. One basis for improvement is to better account for population heterogeneity. In particular, studies show that men and women have different transportation patterns based on gender-related characteristics, roles in families and access to facilities; these differences can be manifested in their mode choice in the presence of demand management strategies. Based on stated preference mode choice data, gathered from a sample of Tehran’s commuter drivers to the CBD (of 192 women and 385 men), this study uses three types of discrete choice models to find the model which fits the choosing structure better and the significant variables affecting each gender’s mode choice under five price- and time-oriented policies. Final result shows that while there are two good nested structures for women, three could be found for men. Accepting these structures simultaneously for each gender leads to approving generalized nested logit structure for both men and women. Final models show that women and men have different decision making process. There are also different variables affecting each gender’s mode choice including policy levels, roles in families, access to family’s car and some socio-economic variables. The study concludes that among the policies cordon toll affects both genders’ choice, and while none of the incentives of transit influences women’s mode choice men are affected by improved access time to transit. It is believed that understanding the gender-based differences in factors important to mode choice can help identify policies serving each gender’s needs better and thus potentially increase the willingness of both genders to shift away from driving
  9. Keywords:
  10. Mode Choice ; Discrete Choice Model ; Generalized Nested Logit Model ; Transportation Policies

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