Week 12 — Whose Convenience Are We Optimizing For?
Previously, over eleven weeks: the curb is the storefront; the information geometry fails the driver; the failure manufactures violations; the manufactured violations cost cities far more than they earn from them; the math of the recoverable opportunity is in the eight-figure range; on-curb hardware as a signal is the missing piece; the buzzwords obscure the trade; the four-step framework recovers the value; on-curb displays meeting four design constraints close the empty decision window.
This week: the synthesis question that should govern every procurement decision involving the curb.
When a curb-management change is proposed — a new vendor, a new payment scheme, a new enforcement model, a new technology — there’s one question worth asking before any other:
Whose convenience does this optimize?
The question is simple to ask and hard to answer dishonestly. The honest answers fall into a small number of categories:
- The motorist’s convenience. The change makes the parking decision easier, the rule clearer, the payment more available. This is the answer that produces turnover, commerce, and sales tax. Procurement should favor it.
- The operator’s convenience. The change makes the operator’s deployment cheaper, their data pipeline simpler, their support load lower. This may still be a worthwhile change, but it needs a parallel commitment to keeping the motorist’s information available where the decision happens. Without that commitment, the change is a regression dressed as an upgrade.
- The city’s capital budget. The change moves cost from a capex line to an opex line, or shifts investment to a future fiscal year. This is a real benefit but it’s a budgetary benefit, not a system benefit. It should not be confused with operational improvement.
- The vendor’s product roadmap. The change is what the vendor is selling because it’s what they have. The city is buying a vendor’s strategic direction, not a system improvement.
In our experience, the changes that fail in the field — the deployments that get pulled, the technologies that get sued over, the procurements that produce angry council meetings two years later — almost always optimized for one of the last three at the expense of the first. The failure isn’t visible in the procurement; it’s visible in the field.
The changes that succeed almost always pass the inverse test: a change optimized for the motorist usually also produces the right downstream metrics for the operator and the city, because the motorist’s convenience is the leading indicator of turnover, and turnover is the leading indicator of every other metric the city actually cares about.
If you have to pick a single phrase to drive curb procurement decisions, “whose convenience does this optimize” is probably the most useful one in the industry.
Closing
Twelve weeks. One thesis: the curb is the most productive real estate any city owns, and most American cities are running it like a back office. The math is clear, the geometry is clear, the framework is clear, the design constraints are clear. The only missing ingredient in most cities is the procurement decision to apply what we know.
If the storefront in front of your block isn’t generating the turnover you’d expect, the curb in front of the storefront is probably the reason. Fix the curb and the storefront recovers — and the city’s sales-tax line follows.
If you’ve made it through all twelve weeks, thank you. We can model the commerce uplift available in your specific district using local data, walk a corridor with you to identify where the information geometry is breaking, and scope a right-sized intervention against measurable outcomes. Reach out anytime.
And if the argument has changed how you look at the curb, the series is built to be forwarded. The most useful thing any reader can do is send week 5 — “The Lottery Cities Don’t Acknowledge They’re Running” — to a council member or city manager who hasn’t seen the chain laid out before.
Continue the series
12 parts · ~72–84 min total
The most productive piece of real estate any American city owns isn’t a building. It’s a 22-foot rectangle of pavement next to the curb. Every parking space along a commercial block sits at…
Read week 1 →Picture an average driver cruising at 20 mph through a downtown corridor — about 30 feet per second. They’re scanning for parking. Three numbers determine the outcome.
Read week 2 →A common response to last week’s argument is: “Well, the sign is right there at the corner — drivers should pay attention as they enter the block.” This argument doesn’t survive contact…
Read week 3 →So what do drivers actually do? Empirical observation of drivers searching for parking shows that they don’t read regulatory signs proactively. They can’t, and they don’t try.
Read week 4 →The empty decision window isn’t a passive problem. It’s the input to a feedback loop:
Read week 5 →Take a representative midsized downtown with 5,000 managed curb spaces. The exact figures vary, but a working baseline:
Read week 6 →The single-space curbside meter performs two functions, only one of which is payment. The other is indication — the meter at a space tells the driver, at a distance and in motion, that the…
Read week 7 →For roughly a decade, parking-industry vocabulary has converged on a set of appealing words: asset-light, no-hardware, frictionless, free the curb of clutter. The reasoning has been that…
Read week 8 →There are two coherent ways to manage curb space. Either one can work well.
Read week 9 →Curb improvements need to happen in a specific sequence. Each step depends on the one before it. Skip a step and the framework collapses.
Read week 10 →A working on-curb display needs to satisfy four design constraints simultaneously. The constraints come from the geometry of the parking decision (covered in weeks 2–4), and any product…
Read week 11 →When a curb-management change is proposed — a new vendor, a new payment scheme, a new enforcement model, a new technology — there’s one question worth asking before any other: