News
2009-11-10 Updated the submit form to handle multiple cars; adjusted it to look better on Palm Pre; redid login system
2007 The site has been running for a while at http://gasuse.bigasterisk.com/
2005/11/14 - http://darcs.bigasterisk.com/gasuse/csv2rdf is converting the old data to RDF. I looked at http://www.mindswap.org/~mhgrove/convert/ but had a lot of trouble trying to build and run it. And, it's a gui to make some sort of map file that reads CSV rows and outputs triples. I can write a python program instead of a map file-- it'll be about the same length and complexity (when you consider having to read the spec of the convert2rdf map file), although I will do my next round of data cleanup in the same program.
Intro:
I have kept all the receipts for gas for my car since I got the car. For every fillup, I have recorded the car's total miles and the miles since the last fillup (for redundancy). The receipts show the gas station company, location, and price per gallon. Sometimes I take notes about special driving conditions, such as using AC a lot on a road trip.
I should now be able to answer questions such as these:
Results:
Dollars per mile looks like about $0.08 (in 2005), but it can drop to $0.04 when I take a long trip.
When I lost a tire and drove on a spare for most of a week, I drove at 55mph (slow lane, of course). I also used cruise control a lot, which is easy when you're driving 55mph. I got 34mpg on chevron gas over that 9 day period. The next 13 day period, I also drove with chevron gas, but I got 29.5mpg which is around my typical mpg.
Related:
http://www.oaklandgasprices.com/ (and http://www.gasbuddy.com/) tracks prices, hosts boards, and charts average price per region (http://www.oaklandgasprices.com/retail_price_chart.aspx)
References:
http://esw.w3.org/topic/GeoInfo has coverage of semweb geo things
http://www.w3.org/2000/10/swap/pim/usps "An RDF Schema for United States Postal Addressing Standards", which might help store my sloppy gas station addresses. http://www.w3.org/2000/10/swap/pim/usPlace2LatLong.n3 may be relevant.