The Economist (20141101) by calibre
Author:calibre [calibre]
Language: eng
Format: epub
Tags: news, The Economist
Publisher: calibre
Published: 2014-10-30T20:56:54.308000+00:00
Data-driven cities
City slicker
Data are slowly changing the way cities operate
Nov 1st 2014 | From the print edition
WAITING for a bus on a drizzly winter morning is miserable. But for London commuters Citymapper, an app, makes it a little more bearable. Users enter their destination into a search box and a range of different ways to get there pop up, along with real-time information about when a bus will arrive or when the next Tube will depart. The app is an example of how data are changing the way people view and use cities. Local governments are gradually starting to catch up.
Nearly all big British cities have started to open up access to their data. On October 23rd the second version of the London Datastore, a huge trove of information on everything from crime statistics to delays on the Tube, was launched. In April Leeds City council opened an online “Data Mill” which contains raw data on such things as footfall in the city centre, the number of allotment sites or visits to libraries. Manchester also releases chunks of data on how the city region operates.
Mostly these websites act as tools for developers and academics to play around with. Since the first Datastore was launched in 2010, around 200 apps, such as Citymapper, have sprung up. Other initiatives have followed. “Whereabouts”, which also launched on October 23rd, is an interactive map by the Future Cities Catapult, a non-profit group, and the Greater London Authority (GLA). It uses 235 data sets, some 150 of them from the Datastore, from the age and occupation of London residents to the number of pubs or types of restaurants in an area. In doing so it suggests a different picture of London neighbourhoods based on eight different categories (see map, and its website: whereaboutslondon.org).
The result shows what many Londoners already instinctively know, but in a way which is visually striking: that, despite being divided into 33 boroughs, parts of the city can mirror one another. Young people cluster in rented digs in east or south London. Older people are spread much farther out. Many boroughs, in turn, have to cater for several different social types. Kensington and Chelsea, one of the wealthiest, is nearly exclusively uniform. But in Willesden, in north-west London, for example, older residents live cheek-by-jowl with young professionals and poorer people in social housing. Such data may question the way a city is divided up, suggests Dan Hill, an executive director at the Future Cities Catapult. It could also have implications for the way council services are provided, and whether schools or hospitals could be built across borough boundaries.
It makes sense that cities release reams of data for developers to fiddle with. Kit Malthouse, London’s deputy mayor for business, says the city does not know what to do with 60-70% of the data it collects. And academic research can be used by the providers of public services. Oliver O’Brien, a researcher at University College London, has mapped how many people enter and exit Tube stations, and how this has changed over time.
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