Thesis/Capstone
Publication Date
Authored by
Shane Huisman, Santiago Hernandez
Advisor(s): Ilya Jackson
Topic(s) Covered:
  • Transportation
Abstract

This project aims to assist a logistics-focused real estate investment company in proactively identifying underserved markets in the U.S. transportation sector. Utilizing a mix of data from public and private sources and machine learning methods, the goal is to develop a quantitative methodology that highlights potential market investment opportunities for high flow-through (HFT) logistics facilities. The outcome includes a visualization tool to guide investment decisions and a market summary, enabling the company to capitalize on underserved logistics real estate markets.
 

Attachment(s)
Capstone Project