Transit-Oriented Development (TOD) is a planning approach that encourages housing, jobs, and services to be located near public transit, making it easier for people to walk, bike, and use transit instead of driving. TOD plays an important role in reducing traffic congestion, lowering greenhouse gas emissions, and creating healthier and more sustainable communities. However, current methods used to measure TOD often rely on outdated or limited data sources that do not fully capture the quality of the walking environment around transit stations.
Many existing TOD measures focus on factors such as density, land-use mix, and proximity to transit, but they often overlook important features that affect people's daily experiences, such as sidewalk conditions, pedestrian crossings, street greenery, shade, and other elements that influence whether walking feels safe and comfortable. As a result, communities may appear to perform well according to traditional TOD metrics while still providing poor walking conditions for residents and transit users.
This project aims to develop a new approach for evaluating TOD by using publicly available street-level images and recent advances in artificial intelligence. Rather than relying solely on traditional datasets, the project will examine what people actually experience when walking near transit stations. By identifying and measuring features of the pedestrian environment, the study will create more detailed and realistic indicators of walkability and transit accessibility.
The project will address three key questions: How can street-level imagery be used to measure the quality of pedestrian infrastructure around transit? Do these new measures provide a more accurate assessment of TOD performance than conventional approaches? And how do walking conditions vary across California communities?
The results will provide planners, transportation agencies, and policymakers with improved tools for evaluating transit-oriented communities and prioritizing investments. Ultimately, the project seeks to support more effective, equitable, and sustainable transportation planning throughout California by ensuring that TOD assessments reflect the real experiences of people who walk to and from transit.
San Jose State University
This project will produce a novel methodology for measuring Transit-Oriented Development (TOD) using street-level imagery and AI-based analysis, along with a validated set of walkability indicators that can be integrated into existing TOD evaluation frameworks. Research outputs will include a reproducible analytical pipeline, documented workflows and code made publicly available through a GitHub repository, and a practitioner-oriented toolkit containing standardized indicators, data templates, and visualization modules. The project will also generate a technical implementation guide and publicly accessible datasets and maps that support TOD assessment across California. To facilitate technology transfer and practical application, the research team will deliver webinars for transportation and planning agencies and disseminate project findings through publicly available online platforms.
This project will produce a novel methodology for measuring Transit-Oriented Development (TOD) using street-level imagery and AI-based analysis, along with a validated set of walkability indicators that can be integrated into existing TOD evaluation frameworks. Research outputs will include a reproducible analytical pipeline, documented workflows and code made publicly available through a GitHub repository, and a practitioner-oriented toolkit containing standardized indicators, data templates, and visualization modules. The project will also generate a technical implementation guide and publicly accessible datasets and maps that support TOD assessment across California. To facilitate technology transfer and practical application, the research team will deliver webinars for transportation and planning agencies and disseminate project findings through publicly available online platforms.
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San José State University One Washington Square, San Jose, CA 95192 Phone: 408-924-7560 Email: mineta-institute@sjsu.edu