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http://arks.princeton.edu/ark:/88435/dsp01g158bk728
Title: | How to Succeed at Ride-Sharing Without Really Trying: A Navigation-Based Commerce and Entertainment Approach to Transportation |
Authors: | Arenas, Jean-Carlos |
Advisors: | Kornhauser, Alain |
Department: | Operations Research and Financial Engineering |
Class Year: | 2016 |
Abstract: | Transportation is a derived demand | in and of itself, it only can provide disutility (its utility only being a result of getting us where we need to go). Transportation should not be arduous and should not be difficult. As such, the interest in ride-sharing and autonomous taxis (aTaxis) has been growing in recent years as transportation problems gain more and more publicity. Part of making the practice of casual ride- sharing and the use of autonomous taxis a commercially viable solution to the ubiqui- tous problems of dangerous roads, traffic congestion, and general disutility is creating a platform through which people can discover ride-sharing opportunities without re- ally trying. This is where navigation-based commerce ventures are useful. While people are often predisposed to refrain from capitalizing on ride-sharing opportuni- ties, taking advantage of concepts in the fields of navigation-based commerce and navigation-based entertainment can cause ride-sharing to become a more attractive option. Events inherently ask people to congregate in a single space for a brief period of time. These circumstances | a large amount of people with a common interest going to a common location | are ideal for ride-sharing. This project discusses the psychology behind ride-sharing, proposes various business models for a navigation- and event-based ride-sharing system, and establishes the technical foundation for a fully implemented web service named Relevent. |
Extent: | 80 pages |
URI: | http://arks.princeton.edu/ark:/88435/dsp01g158bk728 |
Type of Material: | Princeton University Senior Theses |
Language: | en_US |
Appears in Collections: | Operations Research and Financial Engineering, 2000-2023 |
Files in This Item:
File | Size | Format | |
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ArenasJean-Carlos_Final_Thesis.pdf | 1.32 MB | Adobe PDF | Request a copy |
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