28 comments on Hurricanes increase driving, gas prices decrease it
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28 comments on Hurricanes increase driving, gas prices decrease it
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FWIW, my suspiciion that gross gasoline sales are used with EPA fleet mileage numbers to calculate VMT (when monitoring stations were not available) was confirmed by this doc:
http://www.epa.gov/ttn/chief/eiip/techreport/volume04/iv01.pdf
In that case, we wouldn't want to use VMT from one source, and gasoline sales from another, to "calculate" a real world fleet mileage. All we are doing is working back to the EPA figures, in a self-referential way. That's really too bad, because I would really like to know how higher gasoline prices changed the vehicle mix on the road. Were SUVs left home while another car was driven? Sorry, if state's VMT figures are calculated from "known" fleet mileages, we aren't going to get there.
So no smoking gun, but a bad feeling. Sure.
The 101 freeway sensors are an interesting point. We're trying to mine data for oil use patterns, when the monitoring system was put in to generate road congestion, construction, and maintenance data. This allows on-line maps like this one:
http://www.sigalert.com/map.asp?Region=Greater+Los+Angeles
Does the State monitor surface roads to the same degree, and is there a data flow from local entities (city county) to a statewide aggregate?
I'm a surface street driver (90%), which might make me wonder more that freeway drivers at how that data is integrated.
And the big question for me is why the FHWA report at the top of the page had so many "dashes" for states without data. Why would entire states be missing monitoring?
A minor question is when the FHWA says California has 30-32 "stations" what do they mean?
Anyway, interesting stuff. I spent 15 or 20 years doing analytical chemistry. It was easier to know exactly what you were measuring in that environment. If I could DESIGN this experiment myself, I think I'd try remote sensing ... repurposing sattelite photos to count cars on roads.
There is also a gravity effect, where large trucks attract packs of smaller vehicles. I always wondered what would happen if they traveled long enough - would all the little cars eventually be absorbed into the truck, making one huge vehicle?
But these effects must seriously decrease efficiency, and are one of the advantages of rail transport. Train cars don't each make separate judgments, and they all follow obediently and act in unison. Human drivers cannot do this.
Seriously, it would be nice to have a couple ways to independantly measure VMT without assumption. Right now we can use limited sensors and extrapolate ... but the only cross-check is with gasoline sales and an "average" mpg.
If my "gut" were to speak again, it would say use the gasoline sales figures, which are at least directly measured - especially for short term studies.
It might be possible to get a direct-measure VMT ... if anyone out there is carefully totallying odometer (not exactly an odograph ;-) mileage on each vehicle transfer. If a car changes hands (or is scrapped) after X years, with Y miles, we can get a good average yearly VMT ... but of course we'll never get accurate month-by-month changes.
"Actual implementation will vary from agency to agency. Each State or local highway agency has its own traffic counting needs, priorities, budgets, geographic, and organizational constraints. These differences cause agencies to select different equipment for data collection, use different collection plans for obtaining traffic data, and emphasize different data reporting outputs. However, all highway agencies collect the same basic types of data, and each can benefit from using a similar basic data collection framework."
I would LOVE to have good day-by-day VMT numbers, including vehicle type (and heck, while we're at it, passenger count).
It just strikes me that VMT totals are a "secondary product" at best, from these measuring entities.