New in flaneur-enabling technology: a team of intrepid aesthetes in Barcelona is working on a new app that would advance GPS mapping tools by providing the most beautiful route to a destination, rather than the shortest or least congested route.
Those of us obsessed with the navigation and mapping powers of route-calculating apps will soon have more aesthetically-minded options for finding a route across town, thanks to the work of Daniele Quercia and friends at Yahoo Labs in Barcelona, Spain. An article in the MIT Technology Review explains that Quercia and team "have worked out how to measure the 'beauty' of specific locations within cities and then designed an algorithm that automatically chooses a route between two locations in a way that maximizes the beauty along it. 'The goal of this work is to automatically suggest routes that are not only short but also emotionally pleasant,' they say."
The team used a number of methods to collect data on which places in London are more, shall we say, fetching. First there was crowdsourcing via public opinion: "Quercia and co begin by creating a database of images of various parts of the center of London taken from Google Street View and Geograph, both of which have reasonably consistent standards of images. They then crowdsourced opinions about the beauty of each location using a website called UrbanGems.org." (StreetSeen is a similar system for crowd sourcing public reaction to cityscapes.)
The second involved scraping data from photo sharing sites like Flickr: "Crowdsourcing opinion for every possible location in a city is clearly a time-consuming and potentially expensive business. So Quercia and co have automated this process using photos from Flickr and the data and tags attached to them," and, "[factors] that turn out to be a good indicator of beauty are things like the number of pictures taken of a particular scene and comments associated with positive emotions."
As for choosing the more beautiful route, it might just take a little longer: "Quercia and co say that on average these routes turn out to be just 12 percent longer than the shortest routes, which makes them reasonable alternatives for a pedestrian."
FULL STORY: Forget the Shortest Route Across a City; New Algorithm Finds the Most Beautiful

Planetizen Federal Action Tracker
A weekly monitor of how Trump’s orders and actions are impacting planners and planning in America.

Congressman Proposes Bill to Rename DC Metro “Trump Train”
The Make Autorail Great Again Act would withhold federal funding to the system until the Washington Metropolitan Area Transit Authority (WMATA), rebrands as the Washington Metropolitan Authority for Greater Access (WMAGA).

The Simple Legislative Tool Transforming Vacant Downtowns
In California, Michigan and Georgia, an easy win is bringing dollars — and delight — back to city centers.

The States Losing Rural Delivery Rooms at an Alarming Pace
In some states, as few as 9% of rural hospitals still deliver babies. As a result, rising pre-term births, no adequate pre-term care and "harrowing" close calls are a growing reality.

The Small South Asian Republic Going all in on EVs
Thanks to one simple policy change less than five years ago, 65% of new cars in this Himalayan country are now electric.

DC Backpedals on Bike Lane Protection, Swaps Barriers for Paint
Citing aesthetic concerns, the city is removing the concrete barriers and flexposts that once separated Arizona Avenue cyclists from motor vehicles.
Urban Design for Planners 1: Software Tools
This six-course series explores essential urban design concepts using open source software and equips planners with the tools they need to participate fully in the urban design process.
Planning for Universal Design
Learn the tools for implementing Universal Design in planning regulations.
Smith Gee Studio
City of Charlotte
City of Camden Redevelopment Agency
City of Astoria
Transportation Research & Education Center (TREC) at Portland State University
US High Speed Rail Association
City of Camden Redevelopment Agency
Municipality of Princeton (NJ)