Electronic Theses and Dissertations

Identifier

6207

Author

Jesse Simpson

Date

2018

Date of Award

11-14-2018

Document Type

Thesis

Degree Name

Master of Science

Major

Civil Engineering

Concentration

Transportation Engineering

Committee Chair

Sabyasachee Mishra

Committee Member

Mihalis Golias

Abstract

This thesis presents a disaggregate market penetration model for freight transportation organizations adopting connected autonomous vehicle (CAV) technology and other transportation innovations. Innovation adoption research has largely ignored organizational adoption, and little work has been done to understand or predict the adoption of innovations by freight organizations. Therefore, numerous innovation adoption theoretical and methodological approaches are examined to determine which strategies are most appropriate for freight organizational adoption, with connected autonomous vehicles as a case study. A cellular automata model is generated using the theory of the diffusion of innovations and the principles of the Bass model. The model allows for heterogeneity between organizations by allowing certain model parameters to vary depending on the size of the organizations. The results of the thesis are predictions for the adoption rate of CAVs by freight organizations within Shelby County, TN, a demonstration of the impact of organizational heterogeneity on innovation adoption rates, and a discussion of the benefits and drawbacks of innovation adoption theoretical and methodological approaches.

Comments

Data is provided by the student.

Library Comment

dissertation or thesis originally submitted to the local University of Memphis Electronic Theses & dissertation (ETD) Repository.

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