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https://theconversation.com/we-analyzed-philly-street-scenes-and-identified-signs-of-gentrification-using-machine-learning-trained-on-longtime-residents-observations-277704
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Newsletter article
We analyzed Philly street scenes and identified signs of gentrification using machine learning trained on longtime residents’ observations
The Conversation
30 Mar 2025
Abstract
We are Ph.D. candidates in architectural engineering and geography, environment and urban studies at Drexel and Temple universities in Philadelphia. Working with a multidisciplinary team of professors and students, we recently developed a new way to map gentrification in Philly neighborhoods using a combination of accounts from longtime residents, Google Street View images and machine learning. [Excerpt]
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Details
- Title
- We analyzed Philly street scenes and identified signs of gentrification using machine learning trained on longtime residents’ observations
- Creators
- Maya Mueller - Drexel University, Civil, Architectural, and Environmental EngineeringIsaac Quaye - Temple University
- Publication Details
- The Conversation
- Publisher
- The Conversation Media Group
- Resource Type
- Newsletter article
- Language
- English
- Academic Unit
- Civil, Architectural, and Environmental Engineering
- Other Identifier
- 991022170448904721