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skip to content urbanmovements flows, behaviour and networks in the city menu blog about research publications consultancy contact scroll down to content posts posted on september 21, 2016 understanding cities through individual-level data – opportunities and challenges as it’s been a while since i last posted, i thought i’d put up something i prepared for a royal society smart cities and transportation workshop next week. i’ve focussed on data collected at the individual-level, and the opportunities the data present for better understanding cities, and the challenges the maximisation of these resources face. there are no doubt alternative perspectives, arguments that go deeper beyond this very short piece, and methodological issues too to contend with. feel free to add your thoughts in the comments at the end. as the creation, capture and accumulation of granular datasets becomes increasingly engrained within the urban environment, the potential for analysing urban processes in finer and finer detail increases. new forms of data are being generated at spatial, temporal and individual-level scales that surpass all that have gone before. these data transcend the boundaries that previously imposed on analyses of cities – traffic flow can be captured on a second-by-second basis road-by-road, crime incidents are habitually recorded with a longitude and latitude, and commuting patterns can be captured live through the movements of mobile phones. through the development of a wealth of new methods, machine learning approaches are able to derive deeper insight from these data, revealing new patterns and understanding of cities than have been available before. it is, however, increasing granularity individual behaviours that offers the greatest promise, and poses the biggest challenges for future urban data analysis. data derived insights around the individual offer a chance to better understand the behavioural heterogeneity within the population across a range of domains, as well as revealing the complex interconnectivity of urban systems. capturing these details at finer level could allow us to better measure and model cities, allowing us to improve our current conceptions on how we understand, manage and organise our cities. the opportunities presented by individual-level analyses are plentiful. longitudinal data allow us to learn how individuals adjust behaviour over different periods of time and under different conditions, and how they adapt to longer-term changes to the city. within domains such as transportation, conventional models lack strong behavioural insights, failing to capture behavioural heterogeneity or measure how individual experiences and perceptions influence behaviour. the new lessons we can potentially learn from these data can not only aid our longer term models of urban futures, but contribute towards our management of cities on a day-to-day basis. the individual-oriented nature of these analyses are able to transcend disciplinary boundaries through which cities have previously been understood and managed. at present, we lack a deep knowledge around the integration of different urban systems, and the influence of the urban realm upon these connections. we might, for example, be interested in the influence of travel on shopping behaviour, or on health, or crime patterns, but the potential interconnections extend far and wide. while conventional surveys provide good localised insight into these behaviours and systems, only through large scale data collection can these interconnectivities be observed across the whole population and entire urban area. the improved understanding of the people and systems that make up the urban realm offers considerable potential for those operating and optimising cities. despite the promise, there are considerable challenges to capitalising on these opportunities – underlined primarily by the fact that many of the datasets that could advance our understanding of cities already exist. at the individual scale, longitudinal travel behaviour can be captured by smart card transactions, many retail transactions are captured via loyalty cards, and mobile phones tracked from cell tower to cell tower. there is, however, little opportunity for joined up thinking, as many of these datasets exist within silos, accessible to interested parties only in exchange for a considerable fee. the potential for asking new questions, discovering new insights, and crossing urban systems and disciplines is restricted by commercial confidentiality. crossing these boundaries requires leadership and openness from business and government, where too often, siloed within their own priorities, perspectives and worldview, a wider vision or motivation for an improved city is lacking. beyond structural challenges, however, there are questions of morality, and how far data collection and analysis should be deployed for the purpose of urban development. when one starts to generate data at the individual level, the risk of de-anonymising individuals becomes very real. data analysts have already proven this in various contexts, using datasets cleared for public release – from the identification of individuals from the movements of their mobile phones, to the identification netflix users from their viewing habits, to establishing whether celebrities tipped their taxi driver or not. these analyses may have been conducted for benign reasons, but they illustrate the point that the opportunities for revealing identities from data traces sharply increase as data collection reaches individual-level granularity. the questions therefore become how far should these analyses extend, what constraints (if any) should be placed on data collection and analysis to ensure anonymity, and how should methods and results be communicated to the public. at present, there is little guidance from government and seemingly little leadership beyond. without due consideration given to the treatment of these issues, there is a risk that public trust in data collectors and analysts will be eroded, risking the imposition of limiting constraints on how these data are exploited in future. posted on march 31, 2015 dot densifying a canadian city by way of a warm up to future blogging pleasures, i thought i’d post some mapping work i did for actual fun last year. as christmas gifts for family i decided to make some custom maps of winnipeg, canada (location not chosen randomly, they’re actually from there). don’t know winnipeg? well… it’s a city of nearly 700000 in the middle of north america , it has a big ice hockey team , and it gets blooooooddy cold in the winter. my extensive research also seemed to suggest that winnipeg doesn’t get its fair share of nice city maps – that needs to change. like many north american cities, walking around winnipeg you get a sense of how the city starkly changes from neighbourhood to neighbourhood. winnipeg contains the largest urban population of native canadians in canada, with the community strongly concentrated near to downtown and northern suburbs . there is a historic french speaking region too, named st boniface , and a small chinatown , both near to central winnipeg. capturing this diversity (and division) was one of my aims from the start. open data and open mapping it turns out that winnipeg has a decent supply of open city data. it has an open data portal – data.winnipeg.ca – based on the useful socrata platform, as well as a live transit data api . looking through the available datasets, although it was pretty tempting to make a map of ‘sewer backups’ (nice) or reports of graffiti , someone had done a pretty good job of organising neighbourhood-level 2006 census data . these datasets were well organised and appeared to provide rich information relating to local demographic variation. in terms of the map format, my first instinct was to turn to dot density mapping. dot density maps use multiple points to indicate the categorisation and

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http://urbanmovements.co.uk/2014/03/12/connected-places/#comment-69208
http://urbanmovements.co.uk/2014/03/12/connected-places/#comment-69209
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http://urbanmovements.co.uk/consultancy/
http://urbanmovements.co.uk/contact/#comment-70527
http://urbanmovements.co.uk/2013/02/21/analysing-languages-in-the-new-york-twittersp/
http://urbanmovements.co.uk/#content
http://urbanmovements.co.uk/2012/12/11/how-the-ons-whip-up-census-hype/
http://urbanmovements.co.uk/2012/11/26/identifying-communities-in-traffic-flow/
http://urbanmovements.co.uk/publications/
spatialanalysis.co.uk
casa.ucl.ac.uk
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bartlett.ucl.ac.uk
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Domain name:
urbanmovements.co.uk

Registrant:
Ed Manley

Registrant type:
UK Individual

Registrant's address:
The registrant is a non-trading individual who has opted to have their
address omitted from the WHOIS service.

Data validation:
Nominet was able to match the registrant's name and address against a 3rd party data source on 10-Dec-2012

Registrar:
123-Reg Limited t/a 123-reg [Tag = 123-REG]
URL: http://www.123-reg.co.uk

Relevant dates:
Registered on: 02-Mar-2012
Expiry date: 02-Mar-2019
Last updated: 04-Jan-2016

Registration status:
Registered until expiry date.

Name servers:
ns.123-reg.co.uk 212.67.202.2
ns2.123-reg.co.uk 62.138.132.21

WHOIS lookup made at 15:16:38 27-Oct-2017

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  REGISTRAR Nominet UK

SERVERS

  SERVER co.uk.whois-servers.net

  ARGS urbanmovements.co.uk

  PORT 43

  TYPE domain

OWNER

  ORGANIZATION Ed Manley

TYPE
UK Individual

ADDRESS
The registrant is a non-trading individual who has opted to have their
address omitted from the WHOIS service.
Data validation:
Nominet was able to match the registrant's name and address against a 3rd party data source on 10-Dec-2012

DOMAIN

  SPONSOR 123-Reg Limited t/a 123-reg [Tag = 123-REG]

  CREATED 2012-03-02

  CHANGED 2016-01-04

STATUS
Registered until expiry date.

NSERVER

  NS.123-REG.CO.UK 212.67.202.2

  NS2.123-REG.CO.UK 62.138.132.21

  NAME urbanmovements.co.uk

DISCLAIMER
This WHOIS information is provided for free by Nominet UK the central registry
for .uk domain names. This information and the .uk WHOIS are:
Copyright Nominet UK 1996 - 2017.
You may not access the .uk WHOIS or use any data from it except as permitted
by the terms of use available in full at http://www.nominet.uk/whoisterms,
which includes restrictions on: (A) use of the data for advertising, or its
repackaging, recompilation, redistribution or reuse (B) obscuring, removing
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limits. The data is provided on an 'as-is' basis and may lag behind the
register. Access may be withdrawn or restricted at any time.

  REGISTERED yes

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