A few months ago, I wrote about the large investments that U.S. universities are making in their football stadiums. This also included a visual analysis of stadium capacity around the country. Outside of North Korea, the 8 largest stadiums in the world are college football stadiums, and the 15 largest college football stadiums are larger than any NFL stadium.
I received a few comments interested in further analysis of the actual attendance of games held in these stadiums. While capacity is interesting because it represents an expectation and sustained investment by the school, attendance represents the utilization of that investment. My stadium capacity data covered every NCAA division I football stadium in the U.S. as of the 2015 college football season. So, I downloaded the NCAA’s 2015 home game attendance data to compare. My data, code, and analysis are in this GitHub repo. First, I visualized the FBS attendance figures themselves:
Continue reading College Football Stadium Attendance
This is a summary of our JPER journal article (available here) about Craigslist rental listings’ insights into U.S. housing markets.
Rentals make up a significant portion of the U.S. housing market, but much of this market activity is poorly understood due to its informal characteristics and historically minimal data trail. The UC Berkeley Urban Analytics Lab collected, validated, and analyzed 11 million Craigslist rental listings to discover fine-grained patterns across metropolitan housing markets in the United States. I’ll summarize our findings below and explain the methodology at the bottom.
But first, 4 key takeaways:
- There are incredibly few rental units below fair market rent in the hottest housing markets. Some metro areas like New York and Boston have only single-digit percentages of Craigslist rental listings below fair market rent. That’s really low.
- This problem doesn’t exclusively affect the poor: the share of its income that the typical household would spend on the typical rent in cities like New York and San Francisco exceeds the threshold for “rent burden.”
- Rents are more “compressed” in soft markets. For example, in Detroit, most of the listed units are concentrated within a very narrow band of rent/ft² values, but in San Francisco rents are much more dispersed. Housing vouchers may end up working very differently in high-cost vs low-cost areas.
- Craigslist listings correspond reasonably well with Dept of Housing and Urban Development (HUD) estimates, but provide up-to-date data including unit characteristics, from neighborhood to national scales. For example, we can see how rents are changing, neighborhood by neighborhood, in San Francisco in a given month.
Continue reading Craigslist and U.S. Rental Housing Markets
Tools like WalkScore visualize how “walkable” a neighborhood is in terms of access to different amenities like parks, schools, or restaurants. It’s easy to create accessibility visualizations like these ad hoc with Python and its pandana library. Pandana (pandas for network analysis – developed by Fletcher Foti during his dissertation research here at UC Berkeley) performs fast accessibility queries over a network. I’ll demonstrate how to use it to visualize urban walkability. My code is in these IPython notebooks in this urban data science course GitHub repo.
First I give pandana a bounding box around Berkeley/Oakland in the East Bay of the San Francisco Bay Area. Then I load the street network and amenities from OpenStreetMap. In this example I’ll look at accessibility to restaurants, bars, and schools. But, you can create any basket of amenities that you are interested in – basically visualizing a personalized “AnythingScore” instead of a generic WalkScore for everyone. Finally I calculate and plot the distance from each node in the network to the nearest amenity:
Continue reading How to Visualize Urban Accessibility and Walkability
The fall semester begins next week at UC Berkeley. For the third year in a row, Paul Waddell and I will be teaching CP255: Urban Informatics and Visualization, and this is my first year as co-lead instructor.
This masters-level course trains students to analyze urban data, develop indicators, conduct spatial analyses, create data visualizations, and build interactive web maps. To do this, we use the Python programming language, open source analysis and visualization tools, and public data.
This course is designed to provide future city planners with a toolkit of technical skills for quantitative problem solving. We don’t require any prior programming experience – we teach this from the ground up – but we do expect prior knowledge of basic statistics and GIS.
Update, September 2017: I am no longer a Berkeley GSI, but Paul’s class is ongoing. Check out his fantastic teaching materials in his GitHub repo. From my experiences here, I have developed a cycle of course materials, IPython notebooks, and tutorials towards an urban data science course based on Python, available in this GitHub repo.
Continue reading Urban Informatics and Visualization at UC Berkeley
Western Europe gets all the attention, but that means it also gets all the tourists. Here are some of my favorite old cities that I’ve visited on the other side of the continent, along with a few photos I took while there. Granted, a few of these places are now squarely on the backpacker circuit, but many remain underexplored. What they all share is an incredible, exhilarating sense of urbanism — old and new.
Eastern Europe itself is hard to define. Competing designations might include only the former Soviet states, or all the formerly communist European nations. Others might separate a limited Eastern Europe out from Central and Southeastern Europe. Here I will play fast and loose with the geographic boundaries: these are just cities somewhere vaguely toward the eastern side of the continent. Apologies to any readers whose country is usually considered a part of Central or Southern Europe.
First up: Mostar. A small city in the south of Bosnia and Herzegovina, Mostar is most famous for its medieval Ottoman center and its Old Bridge, or Stari Most:
Continue reading The Beautiful Cities of Eastern Europe
I recently had the opportunity to travel across Myanmar for the first time. It’s a fascinating country, only recently emerging from decades of isolation. Travelers here today are greeted with the first few baby steps toward a tourism industry, as well some of the kindest people and most spectacular sights in Asia.
Myanmar is not the easiest country to approach. It remains, effectively, a military dictatorship wracked with corruption and abuse. Government officials control the airlines and hotels for personal profit. Large swaths of eastern Myanmar are dedicated to opium plantations funneling foreign currency into the pockets of powerful officials. Even its name is controversial: many foreign governments still officially recognize only its traditional name, Burma, as a political statement against the authoritarian regime that renamed it Myanmar in 1989.
Continue reading Off the Beaten Path in Myanmar
Hong Kong is a remarkable place. It is the 4th-densest sovereign state or self-governing territory in the world (in 1st place is its neighbor across the delta: Macau). Yet this density is fantastically constrained by the mountains and the sea into narrow, snaking corridors of high-rises wherever the terrain permits. At no time is this unique urban development better seen than at night, when Hong Kong lights up like a carnival.
I took these photos from the top of Victoria Peak on Hong Kong island and from the Tsim Sha Tsui promenade on the Kowloon peninsula, using long exposures of between 3 and 12 seconds.
Continue reading Hong Kong at Night
I recently co-authored a journal article titled LEED-ND and Livability Revisited, which won the Kaye Bock award. LEED-ND is a system for evaluating neighborhood design that was developed by CNU, USGBC, and NRDC. Many of its criteria, particularly site location and neighborhood pattern, accordingly reflect New Urbanist and Smart Growth principles and are inspired by traditional neighborhood design.
Continue reading LEED-ND and Neighborhood Livability
I recently completed my inside field exam, one of the many steps involved in advancing to candidacy. The three professors on your inside field committee send you six questions – a pair per professor – and you are given 72 hours total to answer one question from each pair. The answers are to be in the form of a scholarly article with thorough citations. Long story short, you’ve got to write 30 pages of academic scholarship in three days.
The exam questions themselves are very interesting. The professors construct them based on their reading of your inside field statement, trying to probe areas that might be particularly rich or a bit weak in the statement. Here are the questions I answered:
Continue reading The Inside Field Exam and Urban Complexity
This post is adapted from an article I wrote in Progressive Planning.
Does food matter in neighborhood design? Should it? The answers to these questions are complicated and obscured by decades of perplexing policy and practice. There are many benefits of good food – that is, food which is healthy, affordable, fair, and sustainable. Proper nourishment has been linked in several studies to better classroom performance. Walkable access to healthy food can reduce America’s growing obesity and diabetes epidemics. Locally-sourced food can reinforce better dietary habits as consumers connect with the value chain and see eating as a more natural process.
The benefits are straightforward, but do most American neighborhoods actually support healthy food access?
Continue reading How Our Neighborhoods Lost Local Food (And How They Can Get It Back)