Measuring parking occupancy: how do you really know how full a neighbourhood is?

A neighbourhood where you can't find a spot in the evening feels like a parking shortage. But how much of that comes from too few spaces, and how much from spaces that simply aren't available at the right moment? Without measuring, that distinction is invisible. And without it, every policy proposal is a guess.

Counting once is not a measurement

The most common mistake in parking research: counting once and presenting that number as "the occupancy" of a neighbourhood. A street that's 95% full on a Tuesday evening at eight might have been 40% full that same Tuesday at two in the afternoon. Both numbers are true, and both are useless on their own. Only the pattern across a full week, including a weekday and a weekend day, tells you something usable.

Occupied is not the same as in use

A second blind spot: a parked car says nothing about how often that spot is actually used. A spot holding the same car for three weeks counts exactly the same in a snapshot as a spot that changed hands for the fourth time that morning. For the question "do we have a shortage," that difference matters enormously: the first spot is effectively dead capital, the second is working at full tilt.

What usable measurements actually deliver

• Spread across the day. When are the peak moments, and how long do they last: a two-hour dip calls for a different solution than a ten-hour one.
• Spread across the week. A neighbourhood full of offices has a completely different pattern from one full of remote workers or retirees.
• Turnover per spot. How often does a spot change users: an indication of how much space actually frees up if existing capacity is used smarter instead of built out further.

Existing data is often more usable than a new count

A parking study with counters on the street is expensive and gives at best a snapshot of a few days. Buildings running a shared-parking system generate that kind of data continuously, as a byproduct of the booking process itself: who shares a spot and when, how long a booking lasts, what share of available hours actually gets used. That data already exists the moment residents start sharing; the only question is whether a municipality or manager puts it to use.

That's exactly the kind of demonstrable double use that can justify a parking standard or an investment decision, not with an assumption, but with figures from a building already running.