Last month, I went to the KALW studios and talked with Jenee Darden about the I Drive S.F. column, the Behind the Wheel zine series, how I ended up driving for Uber and Lyft, then switching to taxi and what it’s like dealing with all those things in a city like San Francisco.
The interview aired on January 30, 2019.
Check it out here.
You can always tell when Uber and Lyft are surging: the cars bearing their trade dress begin racing through the streets and driving even more erratically than usual.
It’s all part of the process. As demand spikes and dynamic pricing kicks in, Uber/Lyft drivers are desperate to take advantage of the higher rates, as well as complete more rides to earn power bonuses and incentives.
Driving for Uber and Lyft is like playing a video game. The more rides you give, the more money you make. Obviously. But during peak times, rides are worth even more. Get enough of them and you can double your earnings.
During rush hour, though, you can only move so fast. So when last call rolls around, the empty streets provide a perfect opportunity for drivers to chase the surge. And that’s when things get out of control.
Read the rest here.
Wheels in the Head: Ridesharing as Monitored Performance
Ridesharing services offer on-demand rides much like taxicabs, but distinguish themselves from cabs by emphasizing the friendly, social aspect of the in-car interaction. Crucial to the ability of these companies to distinguish themselves from cabs has been the insertion of smartphones as “social interfaces” between drivers and passengers, restructuring social interaction through an allegorithm the productive co-deployment of a socially relevant allegorical script and a software-mediated algorithm). Much of the affective labor of ridesharing drivers consists in maintaining this affective framing and internalizing the logic by which their performances are monitored. In this article the writings of three ridesharing drivers will be drawn on to illustrate the ways drivers develop and evaluate their own performances as ridesharing drivers.
This scholarly article in Surveillance and Society (available as a free PDF) by Donald Nathan Anderson explores the “social interface” as part of driving for Uber and Lyft, and how the companies utilize algorithms to remotely monitor – and ultimately control – the behaviors of drivers and passengers.
A few months ago I was a guest on the Two Paychecks Podcast, an anarchist podcast out of the Pacific Northwest.
We talk about my gonzo adventures documenting the Uber/Lyft experience before going pro as a bonafide taxi driver. From recording the vapid attitudes of the new urbanites to going full-on Jerry Springer on a panel at a tech conference, this rambling exchange covers a lot of ground.
Check it out on SoundCloud or listen below:
The Two Paychecks Podcast is also available on iTunes.
VIDEO: In this first video, we have an Uber/Lyft driver doubleparked on Van Ness Ave (Hwy 101) waiting for his passenger to arrive. Nothing new there, but this driver is next to a massive open parking space, in which two Priuses could fit. Why doesn’t he pull to the curb instead of inconveniencing other drivers? Because what they’re doing is obviously more important than what anyone else needs to do.
In this second video, the passenger has finally arrived and gets into the backseat, but the driver continues to block traffic, obviously screwing around with the GPS. Since they’ve already been blocking a lane of traffic on one of the most congested streets in the city for several minutes, why stop now? As anyone who drives in San Francisco knows, that’s the Uber/Lyft way. You’re just not a true Uber/Lyft driver unless you’re inconveniencing as many people as possible while doing your “job.”
While the Prius in this third video looks identical to the previous one, it’s actually a second Uber/Lyft driver following in their equally inept footsteps. Except this one has pulled slightly into the open parking space. Not enough to actually allow vehicles access that lane of traffic – again, on Van Ness, a major artery in the city – but you know… I guess it’s the thought that counts.
All this happened within a few minutes, after I’d grabbed a coffee at the Philz on Van Ness, between Turk and Eddy.