Closed bblockwood closed 5 years ago
Sounds good! Found an incredible amount of data on dynamic pricing in San Francisco, very well documented! Attached is all the meter adjustment data with occupancy for Spring 2019 in a .csv, but there is data stretching back to Summer 2018. Could easily see an automated analysis of elasticities between price and occupancy. There is also survey, traffic, citation (increasing rates have been shown to decrease illegal parking citations), and occupancy data. There is also an up-to-date map of pricing.
The city prices according to certain time blocks (9-12, 12-3, 3-6) and prices are adjusted $.25 up or down (or $.50 down) from the previous hour based on occupancy.
One interesting note is that there seems to be a lot of "meter payment realization rate threshold applied" during the 9-12 and 3-6. A quick rundown of the .csv seems to show that prices fluctuate far above and below the caps more than half the time. This could be highly correlated with the inelasticities of people going to/leaving from work or just parking in general.
There’s definitely a lot to delve into.
Excellent! Thanks @danlee22, please let me know once these data are all in place on dropbox (and also please include a readme.md file there to describe exactly where it came from). I can't see what these fields are from the screenshot — is there any information on the level of congestion at a given time? (E.g., how many spaces are occupied or available?)
High Priority Questions:
Closing this issue — project now moved to bblockwood/parking.
The goal of this issue is to do some background research on dynamic pricing for parking in cities. Which cities have such policies? When were they implemented? How do they work? (For example, are there maximum and minimum prices that the fees can adjust to?)
Notes can be kept on this google doc, and links to original articles should be included so we can re-trace all sources.