Analytics Magazine Analytics Magazine, July/August 2014 | Page 88

FIVE- M IN U T E A N A LYST this parking lot would involve simulation, which would go beyond our intent. parking, and I really don’t like the risky behaviors aggressive parkers participate in. On the upside, there’s time to write 12 THE WORLD’S WORST PARKING LOT? articles in a single push of the button! Because of the behavior of the drivI’d be interested in hearing real ers while trolling for a parking spot, it contenders for the “World’s Worst might be considered the world’s worst Parking” lot. parking lot. Enforcement of the parkUpdate: Between the original draft of ing policy might help because it would this article and its publication, the parkdecrease the sojourn times of the cars ing lot in question began installing an parked in the lot, but there is no guar- electronic system to help customers deantee, and – more importantly – no di- termine how many spots were available rect incentive for the parking lot owners before entering the parking “queue.” It to do so. This is because the number of has yet to be determined if it will change “free” parking spots is fixed, and once the behaviors of the parking lot. Look they are filled, they are filled, regard- forward to an update in a future column! less of by whom. From the lot manHarrison Schramm (harrison.schramm@gmail. ager’s point of view, it doesn’t matter com) is an operations research professional in the if they are “long” or “short” parkers. Washington, D.C., area. He is a member of INFORMS and a Certified Analytics Professional (CAP). In fact, the rate structure is such that short parkers are slightly more lucrative for the parking lot owner than parking NOTES & REFERENCES above ground. 1. Fabusuyi, Hampshire, Hill and Sasauma, 2014, “Decision Analytics for Parking Availability in In conclusion, it’s probably a bit of litDowntown Pittsburgh,” Interfaces, INFORMS, Hanover, Md. erary hyperbole to imply that this is the 2. This is just an estimate. More delicate techniques world’s worst parking; I’m sure there are may be applied. others that are much worse. This is be3. Using the M/M/1 queuing model to find the “lower” or optimistic estimates, and the M/G/1 queuing model cause I like to make short trips to this area to find the upper estimate. and visit the locations that don’t validate Join the Analytics Section of INFORMS For more information, visit: http://www.informs.org/Community/Analytics/Membership 88 | A N A LY T I C S - M A G A Z I N E . O R G W W W. I N F O R M S . O R G