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AI for Planners Explained: Urban Digital Twins
We begin February 2026 with an article share. The following article (click the link) is about one artificial intelligence (AI) application relevant to the transportation field:
Source: AI for Planners Explained: Urban Digital Twins
To quote from the article:
“UDTs are already being used for development review, infrastructure planning, climate resilience, and operations. They are not speculative technologies. They are becoming part of how cities represent themselves and make decisions.
If planners treat UDTs as purely technical platforms, they risk losing influence over how problems are framed and solutions evaluated. If planners engage early, they can ensure that these systems reflect planning values like equity, transparency, participation, and long-term thinking.
AI will continue to evolve and UDTs offer a preview of how that evolution may shape planning practice. This does not mean by replacing planners, but by changing how planning knowledge is created, tested, and shared.
The question is not whether cities will build UDTs. Many already are. The real question is whether planners will help decide what those twins are for, and how they improve the quality of life.”
-[Note: UDT is urban digital twin]
On street transformations using AI
My social media feed is full of images generated by artificial intelligence (AI). The street transformations are generated using a variety of AI tools. I’ve tried Canva and Gemini in producing similar images of street transformations; an exercise I’ve included in my undergraduate and graduate classes for more than a decade now but using their sketching and software (CAD, Sketch-up, etc.) skills to do the transformations. The photos below show an example of transformation along the University of the Philippines Diliman Academic Oval using Google Gemini.
The original photo I took at the UP Academic Oval
The first attempt at replacing the orange bollards/barriers with something that blended with the campus.
The second attempt showing plant boxes instead of the fence in the previous photo.
I think it’s possible to have excellent transformations of whatever roads or streets there are. One just needs to prompt or instruct the AI well enough to obtain these alternative designs. While the transformations are nice though, context is still important. Many of the transformations circulating on social media call for almost all major streets to be transformed. (Kulang na lang pati expressway gawan ng transformation.) Advocacy is good but context-sensitive solutions require a more constructive and cooperative. It certainly can do without being combative or antagonistic.
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Article share: On AI as a tool for urban planning
Here is a quick share of an article on AI and its application to urban planning. I haven’t written about artificial intelligence here except maybe mentioning it along the lines of intelligent transport systems (ITS). There were what were termed as Expert Systems but AI now (including its potentials) is much more than the expert systems developed in the past.
Sanchez, T. (June 20, 2025) “In Urban Planning, AI Prompting Could be the New Design Thinking,” Planetizen, https://www.planetizen.com/blogs/135418-urban-planning-ai-prompting-could-be-new-design-thinking [Last accessed: 7/17/2025]
To quote from the article:
“Working across disciplines is essential. Collaborating with architects, landscape architects, engineers, artists, and technologists brings in diverse perspectives that can help spark new ideas. AI integrates knowledge and techniques from each of these fields. Contributing to a culture where planners feel free to experiment, where trying something new is encouraged rather than being frowned upon, is key to real innovation. Whether engaging with colleagues or prompting an AI model, creativity thrives in conversation and collaboration…
Cities should be shaped by creative thinking, and today’s challenges demand more of it than ever. Planners are in a unique position to combine deep local knowledge with new technologies, such as AI, to imagine, design, plan, and implement. AI should be seen not as a shortcut, but it has incredible potential as a partner or assistant with encyclopedic knowledge that helps planners stretch their creativity even further. As Wright advises, planners should challenge themselves with constraints to spark creativity: For instance, “What would you do if you had to write an entire zoning ordinance with 10 rules or less to make a sustainable built environment?” Such exercises encourage us to set clearer goals and find better solutions.
By combining traditional tools with emerging technologies, planners can design places that are not only functional but also vibrant, equitable, and resilient.”
What do you think about AI and its applications to urban planning including transportation and traffic?
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On transportation problems being treated like diseases
I am sharing this relatively old article on transportation problems needing treatments as if these were diseases. I say it’s ‘old’ because it’s from last year, and these days when much content is being pushed everywhere including mainstream and social media, things get old, quickly. Rewind to more than a decade ago and Intelligent Transportation Systems (ITS) wasn’t as popularly applied as today and Artificial Intelligence (AI) seems to be everywhere now including in transportation systems.
Menard, T. (September 1, 2024) “Transportation Rx: Treating Traffic Glut Like Doctors Treat Sinus Congestion,” Planetizen, https://www.planetizen.com/features/131478-transportation-rx-treating-traffic-glut-doctors-treat-sinus-congestion [Last accessed: 4/21/2025]
To quote from the article:
“Traffic congestion is not unlike congestion that builds up in the human airways. When we see a doctor, we are prescribed a treatment that clears the backup. Similarly for roads, rather than setting up road signs and cones to redirect traffic, cities can take a more prescribed treatment approach through methods such as congestion pricing and other road pricing strategies, as well as technologies like edge computing, navigation-enabled Mobility-as-a-Service (MaaS) modeling, and transit signal prioritization. “
This is not the first article to allude to medicine when the topic is traffic congestion. There are others that use terminology from the human body’s circulatory system. When an artery gets blocked, a bypass can be a solution. But perhaps we don’t need bypasses and look at other. more effective ways of dealing with transportation problems.
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Caught (up) in traffic 