Andrew Xia
Modeling Fare Evasion in the Santiago Bus Network
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Project Proposal:
As a Fulbright Student, I plan to conduct theoretical research on modeling and preventing fare evasion for the Transantiago public transportation system in Santiago, Chile, and also implement an efficient solution demonstrating the effectiveness of my model on a current dataset of the bus network.
By working with Professor Jose Correa of the Universidad de Chile, I will examine a recent dataset of the Transantiago bus network to examine commuter patters and design a model to best reduce fare evasion. This dataset contains over five million trips per day, with several hundred bus lines and over 11,000 bus stops.
This research will provide a stepping stone for me to pursue a doctoral degree in computer science. As I am very interested in the intersection of security, game theory, and algorithms, my proposed Fulbright project on fare evasion will allow me to better understand how to model data and also understand the economic incentives for achieving this goal. My fundamental interests are in creating efficient and secure decentralized platforms for computation that are more egalitarian, rather than the current model of large companies commercializing peoples’ personal information, and I believe this project will allow me to further my learning in and contribute to this exciting and growing field in computer science.
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Proposal:
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