CSUN - Complex and Sustainable Urban Networks Laboratory
Singapore MRT East West line Overground Elevated Buona Vista at Night Electric Distribution, Tranmission Lines, Power Grid, and Tree, Manila, Philippines, Developing, Emerging Country Cheonggyecheon River Promenade (former elevated highway), Seoul, South Korea Rain Garden, Green Infrastructure, Bioswale, Pilsen, Sustainable, Sustainability, Street, Chicago, Illinois Chicago Street Lights from Plane, Chicago, IL, Illinois – Mercury Vapor, Sodium Vapor, White, Yellow, Orange Glow Double-Decker Tram on Des Voeux Road, Hong Kong Detroit People Mover Shell Adversiting Confluence, Lyon, France Forge Lebailly, St-Pierre and Miquelon Marina Bay Sands Hotel in Singapore, Singapore Principe Pio Station in Madrid Vasco Da Gama Bridge in Lisbon Big Allis Power Plant in New York City, NY View of Tokyo with Tokyo Tower, Japan Nanpu Bridge in Shanghai, China Decentralizing the Power Grid, San Diego, CA Marina South, Marina Barrage, Gardens by the Bay, Ships in Singapore Strait, Singapore Underground Infrastructure, buildings, transport (roads), electricity (medium and low voltage), water, wasterwater (sewer), telecommunications, district heating, Saint Pierre and Miquelon, France

CSUN

complex and sustainable urban networks laboratory

NEWS

Welcome to the website of the complex and sustainable urban networks (CSUN) laboratory.

We live in a fascinating world and we have some significant challenges to overcome. The mission of CSUN is to advance scientific knowledge and create software for the design of smart, sustainable, and resilient cities. This website aims to describe the activities going on within CSUN, but we also have many projects that are about to start, and we invite you to come back frequently.

 

Featured Visualization

The figure below shows the stability of the 372 public transportation systems in the United States that report their data to the National Transit Database. The data used starts in January 2002 and ends in December 2016. Results were calculated per city (and not per system for cities that have multiple transit systems). We also differentiate between: all modes, rail modes, bus modes, and other modes. In other words, click on the figure to find out how your city's transit system is performing. Stability is measured using Fisher Information (FI). FI is a mathematical technique that was adapted to measure the stability of a system that is governed by multiple variables. Here, we used both ridership and vehicle miles traveled data. The full paper is available here in open access and includes a detailed study of Atlanta, Boston, Chicago, New York City, Philadelphia, Sacramento, San Francisco, and Washington DC. To learn more about Fisher Information, see our previous publication that details the technique, and to calculate Fisher Information, download our free Python code.

Visit our data visualization gallery.

Click on the picture to get the full pdf and improve the resolution.

Fisher Information of Public Transportation Transit Systems for all Systems in the United States from 2002 to 2016