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Originally Posted by suburbia
Measuring congestion during rush hour relative to normal periods is a good way to measure relative congestion on the same roads. Period.
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On any one road, perhaps.
But that's not what they're doing, either.
They're measuring total trip times in an entire city at rush hour versus some normal period (and I'm just going to leave aside the hopelessly car-centric view of congestion underpinning the whole study).
The basic problem here, which I think fusili is trying to get at, is that congestion does not increase linearly with increases in trip distance. Essentially, the more sprawled out your city, the less congested will be the more outlying roads, even at rush hour, because you have more lane miles per car.
Ok, so someone who lives a long way out will have a lengthy commute at all times due largely to the distance (more distance = more time). At rush hour, they'll face congested conditions for a relatively small fraction of their commute, hence the ratio between rush hour and normal will be on the small side.
Someone who lives a lot closer in may have a short commute at normal times, but since most of that commute is in heavily congested territory at peak periods, the ratio between the two periods will be high.
But those examples are for individuals, pretty much in any city.
We now have to figure out what happens in different types of cities.
In a sprawled-out city, a relatively high proportion of commuters will have long, lengthy commutes that don't increase by a huge proportion at peak periods. In a more compact city where all trips are shorter, those trips will be subject to proportionately higher delays at peak periods.
In the Canadian context, a city like mine, Ottawa, would score reasonably well since the Greenbelt adds a few kilometres of distance and several minutes of unavoidable travel time onto all trips across it (which is quite a few), which has the effect of diminishing the significance of congestion encountered further in. If we could magically erase the Greenbelt and transport the suburbs up to the edge of the central part of the city, then all of a sudden commute times would decrease - normally what one would consider a good thing - but the effect using this measure would be that the now-shortened regular trip time results in a higher congestion ratio.
Just look at the basic math of the ratio:
(congestion ratio) = (rush hour trip time) / (normal period trip time)
We can further expand this:
(rush hour trip time) = (normal period trip time) + (congestion delay)
so:
(congestion ratio) = [(normal period trip time) + (congestion delay)] / (normal period trip time)
therefore,
as (normal period trip time) decreases, (congestion ratio) increases
As fusili says, it's perverse.
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The measure is at a city level, and they are simply providing a measure such as to compare city to city. The reality of today's Vancouver and where people live in Vancouver to the reality of today's Toronto and where people live in Toronto.
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The metric is only going to be useful in dealing with similar-sized (both in population and physical extent) cities. It's not even useful for looking at the same city over time.