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The Detection of and Contributing Factors to Residential Infill Development in a High-Quality Transit Area (HQTA): An Application of Deep Learning
This research will conduct an extensive and thorough analysis of the contributing factors to residential infill development in the high-quality transit areas (HQTAs) in Los Angeles County. This research will explore the property and neighborhood typologies that influence infill development by identifying parcels that experienced infill and estimating the likelihood of parcels being an infill site constructing multi-level logistic regression models. However, the lack of a comprehensive inventory of infill sites is a challenge. It is not straightforward to systematically identify the locations where infill developments have occurred because infill development is a micro and dynamic land-use change that is not perfectly captured by municipal governments’ land use and building permit data. This research overcomes the challenge by employing an image detection deep learning algorithm that identifies infill development by comparing longitudinal aerial photos.
Principal Investigator:
Do Kim, PhD
PI Contact Information:
Dates:
June 2024 to May 2025
Implementation of Research Outcomes:
This research aims to develop a systemic framework that identifies residential infill development at a parcel level and estimates the likelihood of parcels to be infill developed based on contributing factors to the infill development. This research will ultimately identify the contributing factors to infill development in the areas with good public transit accessibility. During this process, this research will also propose an image detection deep learning algorithm that can be used in diverse urban analyses.
Impacts/Benefits of Implementation:
Urban sprawl is a symbol of poor urban planning due to its many negative consequences including environmental factors (e.g., higher air pollution and loss of biodiversity), transportation factors (e.g., increased traffic congestion), public health factors (e.g., higher rates of obesity), and more. In recent decades, smart growth that promotes dense, compact, walkable, transit-friendly, and mixed-use development has gained popularity as a development alternative to tackle urban sprawl. Smart growth in inner cities has often been associated with infill development involving dense and mixed-use development. This research will make a notable contribution to guiding smart growth and promoting sustainable development in the State of California. Particularly by focusing on residential infill development in the HQTA area, this research can shed light on the virtuous cycle between transit and infill development (e.g., infill development in close proximity to transit stations/stops that contribute to increasing transit ridership).
Project Number:
2458
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Contact Us
SJSU Research Foundation 210 N. 4th Street, 4th Floor, San Jose, CA 95112 Phone: 408-924-7560 Email: mineta-institute@sjsu.edu
