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Uber NYC Trip Data from April to Sept. 2014
- minimaxir 11y agoHaving only Lat/Long of pickup data is disappointing (would have liked the dropoff data too), but the date range can be correlated to the NYC Taxi data set, which exists for all of 2014. That's enough for interesting visualizations and statistical analysis of comparisons between the two, although the original 538 article (http://fivethirtyeight.com/features/uber-is-serving-new-yorks-outer-boroughs-more-than-taxis-are/ http://fivethirtyeight.com/features/uber-is-serving-new-york... ) is pretty good. (for my own visualizations of the NYC Taxi dataset, see my blog post: http://minimaxir.com/2015/08/nyc-map/ http://minimaxir.com/2015/08/nyc-map/ ) The Aggregate_FHV_Data.xlsx contains data on Lyft as well. In September 2014, Lyft did 115,999 total pickups in NYC, while Uber did 1,028,136 pickups. (however, Lyft didn't have any activity in NYC until the end of July.)
- Smerity 11y agoI love your visualizations of the NYC Taxi dataset, minimaxir =] I was just going to mention that if people were interested in exploring this type of data, there exists a Kaggle competition[1] for "Taxi Trajectory Prediction". The data contains the full GPS paths of the taxis and comes with pre-existing scripts you can run online, including a Python script for visualizing the city via taxi paths[2]. There's even a secondary challenge for predicting travel times which include visualizations of taxi travel speed, producing "veins" on the city streets proportional to the speed you can travel along them[3]. [1]: https://www.kaggle.com/c/pkdd-15-predict-taxi-service-trajectory-i https://www.kaggle.com/c/pkdd-15-predict-taxi-service-trajec... [2]: https://www.kaggle.com/mcwitt/pkdd-15-predict-taxi-service-trajectory-i/heatmap/files https://www.kaggle.com/mcwitt/pkdd-15-predict-taxi-service-t... [3]: https://www.kaggle.com/wikunia/pkdd-15-taxi-trip-time-prediction-ii/speed-visualization https://www.kaggle.com/wikunia/pkdd-15-taxi-trip-time-predic...
- rawnlq 11y agoWhy are you just a software QA engineer with your skills?
- ploxiln 11y agoI'm not minimaxir but anyway... that's an odd way to put it. My guess is, he/she is not the kind of software QA engineer you might be accustomed to depending on the kinds of companies you've worked at. Think of automated custom static and dynamic code analysis, continuous integration, build systems, deployment monitoring, etc. Places like Google and Stripe (and many other technical organizations with good engineering culture) have very skilled people doing these things. I'm a normal/infrastructure engineer who reluctantly ends up focusing on test systems every once in a while. I get all the tests running, from a single script, with all results collated and machine readable, get CI set up properly, make the system reliable enough to trust, etc. Because someone has to do it! And yes I've done this in organizations where there was a QA engineer or two, who did reasonably cheap semi-automated QA, but couldn't put together a whole system and make it reliable enough to run on its own. But there are definitely a few places where QA engineer is not the "lowest rank".
- zhte415 11y agoGeneral comment about QA: A lot of people do QA because they're interested in the 'story' or the 'business case' and simply find that interesting. It is not a starter-developer job.
- minimaxir 11y agoLet's just say I'm a really good Software QA Engineer. :P
- sehugg 11y agoIt's a lucky thing for a few that the Ashley Madison lat/long is only an approximation based on zip code, yes?
- maxmcd 11y agoWhy would the TLC have this data? Is this just for cab pickups through the Uber app? If not, would those also be included in this dataset?
- rburhum 11y agoMmm... there are some large areas that have no pickups in April: http://i.imgur.com/FRnH4zM.jpg http://i.imgur.com/FRnH4zM.jpg
- minimaxir 11y agoUsing Google Fusion Tables can be a little misleading for this since you can't accurately illustrate density.
- rburhum 11y agoNot using Google Fusion Tables :) https://www.amigocloud.com/api/v1/users/22/projects/3153/datasets/24717/preview#zoom=14,lat=40.741664577133506,lng=-73.95841598510742,blayer=AmigoStreet https://www.amigocloud.com/api/v1/users/22/projects/3153/dat... By the way, here is the data in many different formats (kml, shapefile, geojson, etc) in case you want to play with it in other software: https://www.amigocloud.com/data_share/8850bab3c62141278ac5c41bbd7d8126/ https://www.amigocloud.com/data_share/8850bab3c62141278ac5c4...
- dfc 11y agoCompare to population density: https://www.arcgis.com/home/webmap/viewer.html?webmap=80f9b95a4ce0491091f1477710f6a91d https://www.arcgis.com/home/webmap/viewer.html?webmap=80f9b9...
- dotBen 11y agoWhat Social Good and Smart City projects could you produce with a dump of all of Uber's trip data in a given city? I think it's fair to say we (Uber) didn't intend for this data to be made public, but it was produced under a Freedom of Information Law (FOIL) Request, and now it is out. So I'm curious how we at Uber could help improve cities and society with anonymized dumps of this kind of data - if this was a formalized thing. Let me know your thoughts here or directly (benm at the domain of uber)
- vessenes 11y agofivethirtyeight mentions one obvious usage: providing it to city planners for say bus routing. The other thing I think you could do that would be very useful for drivers is show them areas that there are typical long waits / longer rides right now. I know a lot of drivers do some planning, but they seem to be in the dark. I'm sure a 'where to uber' app on android / ios for drivers telling them when to get where to take advantage of surge pricing for customers that will want to get taken to a desirable spot would be VERY popular among drivers.
- applecore 11y agoCity planners already know the bus routes that would best serve the city. Unfortunately, there's no incentive to improve service or increase ridership since it already doesn't scale: for every 30 cents that bus riders contribute in fares, taxpayers put in one dollar collectively.
- dotBen 11y agoI just want to shout out to Remix (FKA Transitmix) from the YC W15 batch - http://getremix.com/ http://getremix.com/ Some wicked-smart former Code-For-America Fellows working on this YC-backed project.
- manicdee 11y agoCity planners do not neccessarily know the best bus routes. They know which busses are used more frequently, and if they have unified fare systems using tap on/tap off cards, they know which trips are most often taken by bus. What they do not know is where new bus services might be useful. If Uber was able to show that there is a demand for transport between X and Y not currently served by busses (e.g.: late night riders are there but the busses aren't, or there isn't even a bus that services route between A and B). Services like taxis and Uber would be invaluable for planning mass transit systems.
- 15thandwhatever 11y agoWhat. the. actual. fuck. Trips outside of NYC (aka the 'burbs) have the full street address listed. Those are addresses of people's single family homes, vs. the NYC addresses which tend to be multi-family dwellings.
- schrodinger 11y agoOn mobile so I can't open it at the moment. Does it show names too? If not, what's the problem with knowing which addresses took cabs?
- littletimmy 11y agoIt's an issue of privacy. The public shouldn't know who does or does not take cabs.
- henridf 11y agoSimple interactive timechart to see the number of rides over time per company: http://www.jut.io/play#gist/henridf/403a7b2e5d52a979eb28 http://www.jut.io/play#gist/henridf/403a7b2e5d52a979eb28 Uber had a pretty sharp uptick in early September (end of summer?) which Lyft didn't appear to have.