Place Pulse 1.0: The Pilot Study (2010-2012)

Summary:
The objective of the Pilot Study was to validate the data collection technique. This involved exploring the number of clicks required to obtain a stable ranking, explore whether the orthogonal components between similar evaluative question—such as which place looks safer, or more upper class—contained relevant information, and study the ability of the method to characterize cities. We find that the method is able to provide an stable ranking with nearly 30 clicks per image, and that it provides a good characterization of cities. Interestingly, we find that the cities in the pilot studied exhibited larger difference when comparing their variances than averages, indicating that the method is a good way to estimate the contrast or inequality of cities. We validated the information contained in the measures of urban perception with data on violent crime for NYC, finding that the measures of urban perception captured in the study correlate with the location of violate crime after controlling for the income, area, population and average age of each NYC zip code.

Questions:
Which Place Looks Safer?
Which Place Looks More Upper-Class?
Which Place Looks More Unique?

Cities Involved:
New York City (incl. Manhattan and parts of Queens, Brooklyn & The Bronx), Boston (incl. parts of Cambridge), Linz and Salzburg.

More Info: The Collaborative Image of The City: Mapping the Inequality of Urban Perception
Philip Salesses, Katja Schechtner, César A. Hidalgo. PLOS ONE (2013)   > Download PDF

⇣ Download Pilot Study Data

Place Pulse 2.0: A Global Map (2013-present)

Summary:
The objective of the second study is to extend the data collection to 56 cities and 5 new evaluative questions. The data from this second study will help develop a dataset that can be used to train machine learning algorithms that can help us identify the features determining the evaluative responses elicited by the images, and also, infer the score of an image, and hence, extend the method to new cities.

Questions:
Which Place Looks Safer?
Which Place Looks Wealthier?
Which Place Looks More Boring?
Which Place Looks Livelier?
Which Place Looks More Depressing?

Cities Involved: 56 cities listed below with information about area, number of images and image density. [Images courtesy Google Maps]