A collection of 10 posts
Why Street Patterns can Make or Break Buses
For a couple years in high school I took the DC Metro to the bus to get home. While I often exaggerate the numbers when talking about my commute, even today Citymapper says it would take at least an hour to get home. Because of bus bunching [https://en.wikipedia.
Access to Banking Services in Washington D.C.
As I spoke about a little bit in a previous post [https://justjensen.co/development-economics-and-the-united-states-partp-i-savings-theory/] , inadequate access to savings tools is a classic example of a poverty trap. Without basic banking services, smoothing consumption levels and preparing for emergencies is far more difficult. Income levels differ drastically across Washington D.
Scraping Heroes of the Storm Competitive Information with Scrapy
I have previously written about my Glicko ratings of competitive Heroes of the Storm (HotS) teams [https://justjensen.co/rating-teams-in-heroes-of-the-storm/], and how I put that information into a SQLite database [https://justjensen.co/setting-up-sqlite-on-windows-10/]. Up to this point though, I have been entering all of this information manually. In order
Rating Teams in Heroes of the Storm
As a side project, I decided I wanted to predict the winner of BlizzCon 2016 in Heroes of the Storm (HotS). Obviously the tournament just ended, but I still wanted to complete my ratings. If you just want to see them and skip everything else, click here. Also, please don't
Is the Michigan Left actually better?
I was recently visiting a friend in Detroit and I was curious about whether the 'Michigan Left' was actually the safer and more efficient solution that Michigan's Department of Transportation (MDOT) claims it is. If you haven't been to Michigan, > A Michigan left is an at-grade intersection design which replaces
The Original Frank-Wolfe Algorithm in Octave (MATLAB)
I recently took a course in network optimization where we learned a variety of ways to solve the static traffic assignment problem (TAP). For one of our problem sets, we had to use the Frank-Wolfe algorithm in order to define the user equilibrium (UE) in a standard TAP. So why
How Loyal are Transit Users?
In marketing there is concept called brand loyalty [https://en.wikipedia.org/wiki/Brand_loyalty]. From the Wikipedia post I just linked: > Brand loyalty is defined as positive feelings towards a brand and dedication to purchase the same product or service repeatedly now and in the future from the same