Introducing the greatest* analysis of LA commuter traffic you've ever seen…
*Disclaimer: Results may vary. Greatness may rely heavily on whether or not you are a yuppie (like me).
Ever wonder how a data analyst and a strategist decide what neighborhoods in Los Angeles they should focus their apartment hunting efforts on? If you guessed ‘by conducting a detailed analysis of traffic patterns around typical commuter travel times’…You’d be right! Ever wonder whether or not Jackie and I are perfect for one another? Silly question.
To be honest, when we started thinking about which neighborhoods we would like to live in, the criteria was really focused on less quantitative measures like quality of life, safety, and walkability. But every time we mention our impending move to LA the universal response is typically something along the lines of: ‘Oh, wow…Have you heard about the traffic in LA…Because I heard…?’. The inquisitor is usually making a bitter face like somebody just kicked them in the shins while asking this question.
Jackie’s one of the only people in the world who is more skeptical of unfounded hyperbole than I am so it wasn’t long before she decided we needed to get to the bottom of this issue. In this analysis she did the heavy lifting around the data collection. My contribution to the project will primarily be bragging about it…But even good research needs to be marketed. I guess I can give myself a little credit because I also generated the neato graphs after Jackie supplied me with the analyzed data. I also contributed to the short list of neighborhoods we were even willing to consider.
Speaking of neighborhoods, sorry this is useless to my friends in the Valley, but let’s be serious: How can a chart quantify the reality of traffic coming from the valley to everywhere cool in Los Angeles? Frankly, after seeing the drive times I didn’t think my data calculations would accept ‘fuck my life’ as an input.
Also, the reason this is all built around traffic times to Downtown and Santa Monica is because that’s where we will be working. If you want to be specific, each row is measured from the center of each neighborhood to the 2600 block of Lincoln Boulevard in Santa Monica and the 1100 block of South Olive Street in Downtown LA. By the way,
I’d love to to say our deeply analytic thinking ruled the day as this decision was finally made but the truth is we decided to live in Marina del Ray, because…The ocean!
Rolling up all the raw data we can come up with the following measures of average times for each driver, by neighborhood. These charts really tell the whole story:
Having established the bottom line, here are the charts for all the raw data in case anybody is trying to figure this out for themselves. In each case, the X-Axis is the time spent in the car, in minutes, according to sample drive times taken from Google Maps during a single week in late June, 2014.