Housing Price Disparities: A Machine Learning Approach to Factors like Housing Status, Public Transit, and Density on Single-Family Prices.

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provided that:

1. It is duly credited as a project

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2. A PDF copy of the publication

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Press materials

Team

Yefu Chen

Junfeng Jiao

Arya Farahi

CRediT authorship contribution statement

YC led the overall research idea, oversaw

data analysis, modeling, paper drafting, and

revision.

JJ developed the data analysis, data modeling

, paper reviewing, and revision.

AF guided data analysis and modeling and

helped with paper revision.

Declaration of competing interest

The authors declare there is no conflict

of interest in the whole paper

development process.

Data availability

Data will be made available on

request.

The cover image is sourced from Pexels and is free of copyright issues.

Acknowledgment

The authors would like to acknowledge

the funding supports from NSF

(1952193 and 2133302), UT Good

Systems, and USDOT.