Posted on August 12, 2014 by Juan Francisco Saldarriaga

Adam Davidson from the Graduate Center, and Juan Francisco Saldarriaga from the Spatial Information Design Lab presented their project Modeling Social Justice Issues in Urban Zones Using Big Data: Evidence from Bikeshare and Taxicab Data. This project is a collaboration between David King, Columbia University; Jonathan Peters, City University of New York; Adam Davidson, City University of New York; and Juan Francisco Saldarriaga, Columbia University.

The workshop took place on August 11-12, 2014, at the University of Illinois at Chicago.

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Posted on July 6, 2014 by Juan Francisco Saldarriaga

Curbed contributor Rowley Amato writes about our CitiBike Rebalancing Study:

"It's been a rough couple of months for Citi Bike, what with the revelation that the program requires "tens of millions" to stay afloat, or news that annual membership rates could skyrocket from $95 to $150/year. Still, that's not stopping Columbia University fromattempting to perfect the imperfect system.

Using weekday data from October 2013, researcher Juan Francisco Saldarriaga at Columbia's Spatial Information Design Lab mapped demand imbalances at every Citi Bike station in the city.

Some of the findings are expected, with the worst imbalances occurring from 6 to 10am and 4 to 8pm. Peak data in the morning shows most bikes leaving residential neighborhoods (the Lower East Side, the East Village, Chelsea, and Hell's Kitchen), and arriving at Midtown East and the Financial District. The opposite is true in the afternoon and evening."

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Posted on June 30, 2014 by Juan Francisco Saldarriaga

Streetsblog contributor Stephen Miller wrote about our CitiBike Rebalancing study: 

"Coming across an empty bike-share station when you need a bike — or a full one, when you need a dock — is a disappointing experience, to say the least. While Citi Bike’s rebalancing efforts try to keep up by shuttling bikes around town, the company is working against a tide that shifts demand unevenly across its service area.

Juan Francisco Saldarriaga, a researcher at Columbia University’s Spatial Information Design Lab, mapped those demand imbalances as part of a project the lab is working on. ”Origins and destinations of Citi Bike trips are not necessarily symmetrical during the day,” he wrote. To untangle the patterns of bike-share riders, the team used weekday data from last October to create a matrix showing imbalances at every station by hour of day."

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Posted on June 25, 2014 by Spatial Information Design Lab

Emily Badger of the Washington Post wrote about our CitiBike Rebalancing Study:

"As a form of public transportation, bikeshare systems have one major catch: The bikes seldom circulate themselves in quite the way planners would like. If users traveled around town in all directions, at all times of day, in relatively equal numbers, docks would empty and refill naturally. None would ever be totally empty. None would ever be completely full.

Of course, this is not how people travel in the real world (and it is not how cities are built). In Washington, commuters flood out of residential neighborhoods in the morning (emptying docks there), many aiming for the same few blocks downtown (where the docks are invariably full). In New York, riders descend on Penn Station during rush hour; they congregate around Union Square at night."

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Posted on June 8, 2014 by Juan Francisco Saldarriaga

As part of the Urban Design Event Series (5 Borough Studio, Summer 2014), Juan Francisco Saldarriaga presented the lecture Activity Mapping, at the Graduate School of Architecture, Planning and Preservation, Columbia University.

Posted on June 1, 2014 by Juan Francisco Saldarriaga

Citi Bike Rebalancing Study featured on Visualising Data's "Best of the Visualization Web...June 2014" list. 

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Posted on March 31, 2014 by

The New York Times, City Room contributor Matt Flegenheimer on Juan Francisco Saldarriaga's research on CitiBike trips: 

"Since its introduction last May, the Citi Bike program has attracted 100,000 annual members but far fewer daily subscribers than expected, a combination that has contributed to the system’s precarious finances as operators look to expand.

The math is simple: Regular riders strain the system through repeated use, leading to higher costs. A new data visualization project demonstrates this phenomenon, and makes clear the degree to which the bike share system has become interwoven into the city’s transit network."

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Posted on February 27, 2014 by Juan Francisco Saldarriaga

On February 27th, Juan Francisco Saldarriaga gave the lecture The Uncertainties of Data at the Zürcher Hochschule der Künste. This lecture was part of the City as Resource Lecture Series.

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Posted on February 10, 2014 by

Advanced Data Visualization Project written up by Johnny Magdaleno on The Creators Project

"Since technology is responsible for growth in the world’s collective knowledge, it also shares the responsibility of categorizing that knowledge into easily digestible bites. Because what’s the use of this glut if it can’t easily be understood? And in order for data to have the largest possible impact, doesn’t it make sense for it to be understandable by researchers and blog-readers alike?

This conflict is one of the main issues breathing life into the Advanced Data Visualization Project (ADVP), a data analyzation project now in its second year at Columbia University. Birthed from a collaboration between international newswire Thomson Reuters and Columbia University’s Graduate School of Architecture, Planning and Preservation (GSAPP), the ADVP is looking to make intricate systems--like neurons, international port logistics and library catalogues--both easily readable and stunningly beautiful."

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Posted on October 24, 2013 by

"Kurgan's Close up at a Distance is an ingenious and exciting push at the margins of what is possible to see and understand using satellite imagery, Global Positioning Systems (GPS), and Geographic Information Systems (GIS). The book is a review of and reflection on her provocative artistic and design projects using geotechnologies since the early 1990s."

Geographical Review, Volume 103Issue 4pages 584–587October 2013

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