When the vision's all right but the outcomes are all wrong, zoning's often the problem. And the public realm is left holding the bag.

"Sometimes all the right people seem to be at the table, all singing from similar hymnals, and all seemingly focused on transcending growth-as-usual and yet, still, the results fall flat."
Scott Doyon describes a planning event that says and does all the "right" things, and then gets a result that looks more like business as usual than market-responsive planning. He says “pedestrain-friendly” zoning is getting it wrong, in three acts:
1. Dictating sidewalk entrances while making no provision that those entrances remain unlocked;
2. Regulating a percentage of window glass with no stipulations for transparency; and
3. Encouraging sidewalk proximity while allowing for nature band-aid plantings that separate pedestrians from the businesses they’re expected to patronize. The results are predictable. Also laughable.
FULL STORY: The Sidewalk to Hell is Paved with Good Intentions

Maui's Vacation Rental Debate Turns Ugly
Verbal attacks, misinformation campaigns and fistfights plague a high-stakes debate to convert thousands of vacation rentals into long-term housing.

Planetizen Federal Action Tracker
A weekly monitor of how Trump’s orders and actions are impacting planners and planning in America.

In Urban Planning, AI Prompting Could be the New Design Thinking
Creativity has long been key to great urban design. What if we see AI as our new creative partner?

Pedestrian Deaths Drop, Remain Twice as High as in 2009
Fatalities declined by 4 percent in 2024, but the U.S. is still nowhere close to ‘Vision Zero.’

King County Supportive Housing Program Offers Hope for Unhoused Residents
The county is taking a ‘Housing First’ approach that prioritizes getting people into housing, then offering wraparound supportive services.

Researchers Use AI to Get Clearer Picture of US Housing
Analysts are using artificial intelligence to supercharge their research by allowing them to comb through data faster. Though these AI tools can be error prone, they save time and housing researchers are optimistic about the future.
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