Examining Segregation through Travel Activity in Los Angeles & Orange Country
MAT 259, 2019
My final project is a culmination of my previous work (with a fair amount of highly appreciated help!) I want my dissertation research to involve examining travel activity of different communities of individuals to see how they move differently in space and how this can help us perceive "boundaries" of communities. Thus, the goal of this final project was to make a multi-layered network analysis of travel activity for a given area and population of interest.
The data I use comes from the California Household Travel Survey(http://www.dot.ca.gov/hq/tpp/offices/omsp/statewide_travel_analysis/chts.html). The survey consists of a one-day travel log from almost 50,000 households throughout California, from the years 2010-2013, using various data collection methods (GPS, written responses, etc.)
I did not run a query per se, but I took the initial data into R and created travel trajectories, which mainly involved connecting the places people went in sequence of one another. This meant joining personal information, household information, and travel activity information. Since there were still so many households in my area of interest, I decided to limit each network to those individuals who were in the top 50 in terms of number of places travelled.
When I created an initial sketch in R, I could already see that my hypothesis that certain populations move differently in Los Angeles and Orange County had merit. Though it's difficult to see that when all the networks are layered on top of one another, just displaying two networks exposes the differences. I also brought in a shapefile (a digital map) of neighborhoods in LA & Orange County to help orient myself in the initial stages of data exploration.