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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Dynamic Ridesharing: Understanding the Role of Gender and Technology

Siddiqi, Zarar 26 November 2012 (has links)
Using a case study approach, the thesis examines how dynamic ridesharing (DRS) has evolved through time, parallel with changes in information and communication technologies (ICTs). DRS is conceptually framed using a socio-ecological modeling approach, the goal being to develop hypotheses regarding factors likely influencing DRS use. This conceptual work forms the foundation for an empirical study of DRS use. Survey data were used in descriptive analysis and logistic regression modeling organized to identify who uses DRS and how. The study reveals that gender may be a central concept to understanding why and how DRS is used by certain segments of population more than others. With regard to technology, it is found that although technical competencies were enabling, in terms of facilitating rideshares, gender and perhaps related mobility constraints, emerged as a larger issues. The findings also caution against relying solely on technological advancement for the success of ridesharing programs.
2

Dynamic Ridesharing: Understanding the Role of Gender and Technology

Siddiqi, Zarar 26 November 2012 (has links)
Using a case study approach, the thesis examines how dynamic ridesharing (DRS) has evolved through time, parallel with changes in information and communication technologies (ICTs). DRS is conceptually framed using a socio-ecological modeling approach, the goal being to develop hypotheses regarding factors likely influencing DRS use. This conceptual work forms the foundation for an empirical study of DRS use. Survey data were used in descriptive analysis and logistic regression modeling organized to identify who uses DRS and how. The study reveals that gender may be a central concept to understanding why and how DRS is used by certain segments of population more than others. With regard to technology, it is found that although technical competencies were enabling, in terms of facilitating rideshares, gender and perhaps related mobility constraints, emerged as a larger issues. The findings also caution against relying solely on technological advancement for the success of ridesharing programs.

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