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Using Open Data and
Crowdsourcing to develop
CycleStreets
                      Martin Lucas-Smith
                        CycleStreets.net
                          @CycleStreets
What does CycleStreets do?

Cycle journey planner Photomap / Cyclescape
Online service, 2m journeys so far   Campaigning tool
CycleStreets: who?

Simon Nuttall                 Martin Lucas-Smith
Routemaster                   Webmaster




        … and various people helping out in various ways!
CycleStreets: history
 Cambridge-only cycle journey planner
 Originally written for Cambridge Cycling Campaign
 Launched June 2006
 Google Map –based
   5,000 lines drawn over
    satellite imagery
   Google doesn’t give you
    data: just cartography
 47,000 journeys planned
 15,000 photos added
CycleStreets: history
 Lots of requests for same thing in other places
  around the UK
 Result is CycleStreets
 We are using OpenStreetMap for our data
   We don’t have money for an OS license
   Community aspect really important anyway
 OpenCycleMap cartography
 Went to public beta in March 2009
   2m journeys so far
   Mainly word-of-mouth so far
CycleStreets: UK-wide
CycleStreets Journey planner

                [Quick demo]
        http://www.cyclestreets.net/
OpenStreetMap
Google (North Cambridge)
OpenStreetMap (North Cambridge)
“OpenStreetMap (OSM) is a collaborative project to
create a free editable map of the world.” - Wikipedia

Collaborative:
   Jul 2007: 9,000 people; April 2012: Almost 600,000
Project:
   Not just a map - mass of ideas, processes, data, outputs
Free:
   Free financially and Free as in open
Editable:
   Constantly changing
Of the world:
   Global, not just UK where it started
OpenStreetMap

“OpenStreetMap creates and provides free
geographic data such as street maps to anyone
who wants them.
“The project was started because most maps you
think of as free actually have legal or technical
restrictions on their use, holding back people
from using them in creative, productive, or
unexpected ways.”
OpenStreetMap
UK – Ordnance Survey:
Very high quality, but ...
Cost can be prohibitive
   (particularly voluntary sector)
Derivative data restrictions
   Ordnance Survey has claimed derived data rights
    when you place something over one of their maps
   Incompatible with direction of the Internet, where
    data is being ‘mashed’ together to make useful
    information and visualisations
Central control – change slower
Crowdsourcing principle

“Crowdsourcing is the act of taking a job
traditionally performed by a designated agent
(usually an employee) and outsourcing it to an
undefined, generally large group of people in the
form of an open call.”
                            http://crowdsourcing.typepad.com/


Everyone knows a little bit about something in
their area. Put that together and you get:
OpenStreetMap




                OpenStreetMap website default style
OpenStreetMap




                Cloudmade ‘Fresh’ style (#997)
OpenStreetMap




                Cloudmade ‘Googley’ style (#5138)
OpenStreetMap




                OpenCycleMap
OpenStreetMap




                OpenCycleMap
OpenStreetMap




                CycleStreets data view
OpenStreetMap




                CycleStreets data interrogation
OpenStreetMap




           http://tolu.giub.uni-bonn.de/karto/osm-3d/Screenshots/Dresden/Dresden2.jpg
OpenStreetMap




                Glosm 3D (Russia)
OpenStreetMap




    http://wiki.openstreetmap.org/wiki/File:Rostock-warnemuende.leuchtturm.osm-3d.jpg
OpenStreetMap




           http://wiki.openstreetmap.org/wiki/File:Seamap.png
OpenStreetMap
OpenStreetMap




       http://opengeodata.org/pretty-osm-derived-art-maps
OpenStreetMap




                Urban accessibility of Castelfiorentino
OpenStreetMap




            Bike Hub app, uses CycleStreets routing
OpenStreetMap




        First tactile map based on OSM data published on May 12, 2009
OpenStreetMap




                OpenPisteMap
CycleStreets Journey planner
OpenStreetMap




       Marikina Mapping Party cake (4th Mapping Party in the Philippines)
Data collection
  Structured ground surveys – main source
    Ground surveys, performed by a mapper
    On foot, bicycle or in a car or boat.
    Usually collected using a GPS unit

  Government data sources
    Landsat 7, US TIGER data, OS OpenData

  Commercial data sources
    AND from Netherlands

  Traced from satellite imagery
    e.g. Yahoo!, Microsoft Bing have donated
Objective data
  OSM is a store of objective data
    Everything must be verifiable
    Subjective data is not welcome

  Subjective assessment is the realm of
  the consumer of the data
    E.g. Cycle journey planner decides on the likely
     niceness of a street based on objective attributes
     like speed limit, width, surface quality
    My cycle to work would be different to my mum’s:
     we have different preferences for a ‘good’ route
OpenStreetMap




         ITO World animation 'OSM 2008 - A Year of Edits'
Data collection




 Mapping takes place
 individually or in groups
Ground surveys
 Individuals or groups survey using
  GPS and taking notes
 Made easier by GPS technology
   2000: Bill Clinton switches on wider GPS
    availability
   Mid-2001: GPS units available for $100
   2004: GPX standard (GPS data transfer)
    widespread




                                                  Photo attribution unknown –
                                               please do contact us if you know
Mapping parties
 A group of openstreetmappers and novices
 Go to area & map it exhaustively, usually over a weekend
 Dividing up an area between participants and mapping it
 Mapping by car, cycle or walking
 Social aspect important: people can meet up and talk
  (usually at a pub) between mapping sessions




   Photo: David Earl
                                                    Photo attribution unknown –
                                                 please do contact us if you know
Mapping parties



                                                   Photo attribution unknown –
                                                please do contact us if you know




             e.g. Walking Papers:
              Print current state,
              annotate, load back
              in
                  http://walking-papers.org/
Social context
 Social context important
   Community decides on data collection and structure norms
     appropriate to their situation



The mapkibera project is
training locals people of
Kibera, Nairobi to create a
map with OpenStreetMap


Technologies used depend
on circumstances



                                                               Map Kibera
Social context
 Importing other people’s data?
   Massive debate within the OpenStreetMap community
   (Assumes donated data is compatibly licensed)
   One view: importing data gives the impression that an
    area doesn’t need to be mapped in person and reduces
    volunteer input
     TIGER data import in US very problematical
      http://www.slideshare.net/harrywood/wherecampeu-session-state-of-the-states-in-openstreetmap

   Another view: importing data gives a massive head-start
    and means we can get into much more detailed mapping
   Data creators vs Data consumers have different
    perspectives
     CycleStreets needs a reasonably complete map!
Social context
 Is objectivity
  always possible?
   WikiProject Gaza
   Practical issues
   How do you represent a
    location where only some
    people can enter/exit?




                     Photo attribution unknown –
                  please do contact us if you know
Social context
 How do you represent a
  location where only
  some people can
  enter/exit?




                   Photo attribution unknown –
                please do contact us if you know
Social context
 Crisis Mapping:
  WikiProject Haiti
 Before January 12, 2010




 Then NOAA, GeoEye, DigitalGlobe flew planes over the
   area, and donated their imagery for tracing purposes
    People around the world at their computers contributed to effort
 Roads, buildings and refugee camps of Port-au-Prince
  mapped in just two days
 “The most complete digital map of Haiti's roads”
Haiti
 The resulting data & maps have been used by
  several organisations providing relief aid, such
  as the World Bank, the European Commission
  Joint Research Centre, the Office for the
  Coordination of Humanitarian Affairs,
  UNOSAT, others
Data collection
Informal data structure
 No formal specification of how to
  represent things
   No database schema – just key-value pairs
 Reflects the social context of the users
   Users make it up as they go along
   Communities of interest  norms
   Conventions established, then stability
   User/collector cycle embeds the convention
Informal data structure
 Nodes & Ways, Tags
 http://wiki.openstreetmap.org/wiki/Map_Features
  describes the (many) conventions formed so far
 Examples
   Motorway represented as: “highway=motorway”
   Local street: “highway=residential”
   Guided bus! “highway=bus_guideway”
   Fence: “barrier=fence”
   Cycleway: “highway=cycleway”. But what type?
     “cycleway=lane”
     “cycleway=track”
     “cycleway=opposite_lane”
   POIs: “amenity=postbox”, “shop=charity”
   Not to forget... “amenity=pub”
Adding data




      Potlatch 2 – www.openstreetmap.org (www.geowiki.com)
Adding data




      Potlatch 2 – www.openstreetmap.org (www.geowiki.com)
Potlatch 2 editor

                [Quick demo]
       http://www.cyclestreets.net/edit/
Adding data




        JOSM – Java OpenStreetMap Editor – advanced users
Adding data




The ArcGIS Editor provides:
• Simple tools to upload and download OSM data
• An OSM-compatible geodatabase schema to locally store OSM data
• An OSM symbology template for faster editing
• Conflict-resolution tools for reconciling data back to the OSM database

                                        ArcGIS plugin for OpenStreetMap (free)
OSM / Google Maps
Google doesn’t provide any data – just a picture
Also doesn’t always have information needed by cyclists/walkers –
park paths, cut-throughs, pubs! (Though is improving)

          OSM                            Google maps
OSM vs Ordnance Survey
 Depends what scale
 Question is intended use
 “Good enough” notion
   OSM will never be good
    enough for utility companies
    needing exact location of pipes
   But for many other uses, OSM
    appropriate and good enough




                  Sutton Coldfield B72:
OSM vs Ordnance Survey
 Costs money – not free
 Big difference is the license –
  not free (libre)
 Plot points on a map and the
  OS claim some rights to that
   Derivative data issues
   Major problem in the age of the internet, where
    data is being shared, mixed, repurposed
 By contrast, OSM uses a Creative Commons
  license
Challenge to traditional mapping agencies

 Ordnance Survey seeing more competition
 OSM and internet sharing more generally
  forcing a change in business models?
 Lowering data use costs
 Lowering data collection costs
 Forcing derivative data restrictions to be
  removed
 Challenge in the small-scale map data area
Opens new opportunities
 Businesses like Microsoft, Google and others
  presumably spend a small fortune on
  mapping data
 Bing Maps (Microsoft) and MapQuest (AOL)
  now actively putting money and resources
  into OSM project
   Perhaps speculatively
   OSM will provide them with a cheaper way of
    providing data with far fewer restrictions in future?
Quality assurance issues
 Can we trust open data?
   Depends whether it’s ‘good enough’ for your use
 Can we trust formalised data?
   Tales of lorry satnavs for instance
 Balance between accuracy and speed/volume
   Arbury Park in OSM as it was built – others slower
 Quality around the country variable
   How can we ascertain this?
 Vandalism
   But there’s the ability to watch an area for changes
   More people = more vigilance or more vandalism?
Difficulties we face with OSM
 Coverage not uniform
 Lack of quality control: makes harder to engage
    Local Authorities
   Vandalism a concern for some though not in practice
   Subjective data?
   Maybe in future: lack of static IDs – unique numbers
    for features change
   Ability to engage local mappers when an area is
    deficient

 Many of these problems will go away as OSM matures
Challenge to traditional cartography
 Cartography is a major area of interest within
  the OpenStreetMap community
 Cartography is becoming more automated as
  Web 2.0 steams ahead
   http://maps.cloudmade.com/
 3D vector rendering – send data to device, not
  bitmaps
Cloudmade map renderer demo

                [Quick demo]

        http://maps.cloudmade.com/
               Click ‘Edit map style’
         Click on a design to start from
     Click ‘Clone Style’ in the bottom-right
        Use the ‘Object Visibility’ box
      on the right to remove/add features
OpenStreetMap ecosystem
 At the heart of the OpenStreetMap project is a database
  holding all the map data that people work with.




 Left: editors people use to enter data into the database
 Right: all sorts of interesting uses for the data, e.g. ...
OpenStreetMap uses
 Non-commercial
 Commercial / profit-making use absolutely fine
    As long as people adhere to the license, i.e. give attribution and
        allow downstream users to share/re-use the data


 Maps of very many kinds
 Web routing
 SatNav devices
 Data analysis (e.g. accessibility analysis)
 Placefinding
 GPS background
 Humanitarian
 ...
OpenStreetMap: Summary
 Applies the Wikipedia approach of crowd-sourcing
 Extremely flexible
 Free (cost) and Free (libre)
 Challenging traditional map agencies / business
  models and government funding models
 Communities of interest and norms
      Much scope for research
 Varied uses: maps, electronic devices, humanitarian, ..
 CycleStreets using it
 As more data goes in, more uses, so more people add
  data, so more people use it, so ...
CycleStreets Cycle journey planner
Journey planner: features
 Plan route from A-B, anywhere in UK
 Simple user interface (we hope!)
   Click-click-plan, and simple Namefinder
 Gives set of route choices
   (fastest, quietest, balanced)
 Takes accounts of hills
 Turn-by-turn directions
 Photos-en-route
Journey planner: features
 Distance, time, CO2 avoided, Calories
 Google Street View at any point
 Localised versions for easy linking
     E.g. cambridge.cyclestreets.net

 Link methods
     E.g. www.cyclestreets.net/journey/to/cb1+2py/

 ‘Fly in Google Earth’
 Export to GPS
 Feedback system
Photomap
Photomap: features
 Icons on map (per type of feature)
   Click to view image and info
 Add photo
   Crowdsourcing: lots of people, but each
   donating a small effort
 Categorisation
   E.g. “Show me all the cycle
   parking problems in
   Cambridge”
Mobile
 Key features on small
  screen
 iPhone app
 Android apps
 Mobile HTML5 app
 All open source – help
  welcomed!
 Jakob Nielsen: “Best
  Application Designs” -
  April 2012 (Lightweight
  Applications category
Mobile
 Other apps now
  incorporating our
  routing
 API - data interface
 Bike Hub – great
  world-first iPhone
  bike real-SatNav
 In the leading Boris
  Bike app, ‘London
  Cycle’
Why?
 Fundamentally, we want to see “More people
  cycling, more safely, more often”
 New cycle users face many challenges in UK:
   Poor infrastructure, traffic hostility
   Confidence cycling (address with training)
   Cultural/identity issues: not yet mainstream
   Lack of utility bikes in shops
   Routes – different to car routes!
 We try to tackle the last problem
 ... and the first (through the Photomap)
How a routing engine works




  • Find route with lowest score, i.e. least ‘friction’
  • ‘Shortest path algorithm’ - Standard problem in
    computer science, we use A* method
How it works (briefly)
 1. Data comes from people collecting
  data on-street for OpenStreetMap
   Remember: Is factual data only – e.g.
    presence of road, surface, type
   NOT “I think this is a nice
    cycle route”



 2. We take OSM data ‘off the shelf’
   Though we’re part of the community in practice
   Import several times a week: fresh data
   Conversion process is complex – interpreting the data
How it works (briefly)
3. Score each
   type of path:




4. Take account of hills (add/remove penalty)
5. Account for turn delays (work ongoing)
6. Take account of detailed cyclist behaviour (ditto)
How it works (briefly)
 7. Compress the network, to make the system
  much faster (system called ‘Cello’):

             A                                 A
    9                        8
                 4
                                       9: AC
        10                                              7: AD,BD
                 D
                         3
                                 B                         B
             6                                  6: BC
    C                                   C
                     9
 Park: 4 nodes & 7 ways              After: 3 nodes & 3 ways
How it works (briefly)
 So each path / road / shortcut / etc.
  now has a score
   Higher score = worse for cycling (more ‘friction’)


User comes to the site
 8. Find the lowest total score from A to B
 9. Route is found
 10. Repeat for quietest, fastest modes – each
  have different scores
 11. Routes shown to user
Draw over the cartography
 We are using OpenCycleMap by Andy Allan
 ‘Tiles’ which form a static background once a route has been
  planned – i.e. we just put this behind a line we have
  calculated
Route feedback goes to OSM contacts
Getting involved: open sourcing

 All 3 mobile apps now open-sourced
 Main journey planner being open-sourced
   Latest update at http://cycle.st/b2221
   Codebase currently harder to install than it should be
   Currently modularising more heavily
   Converting to Git
 Cyclescape open-source
 Very keen for greater involvement

 www.github.com/cyclestreets
Back in January 2011...




Transport Direct CJP                                                CycleStreets
www.transportdirect.info/Web2/JourneyPlanning/FindCycleInput.aspx   www.cyclestreets.net


£2.4 million (from tax)                                             £28k
92,000 journeys planned                                             458,000 journeys planned
      (dated Jan 2011, total now = ??)                                    (dated Jan 2011, reached 2m as of now)

£26.09 per journey                                                  6p per journey
£1m – budget for 2011                                               £130k needed
32 areas (professionally surveyed)                                  UK-wide            (but depends on OSM completeness)
UKGov
... BUT things have now moved on a bit
We’re working with the DfT through their data contractor to
get data into OSM – funded project
DfT have been very receptive to the open data potential
We think cycle journey planning is most effective when done
by local people using Open Data
Merging tool created
We continue to work to
ensure that CycleStreets
is solution of choice
Big Society –compliant
We tick all the boxes:
Collaborative: involves local people
Low cost: datasets have no license fee,
agile delivery
Trusted: for the people, by the people
Open Data
                                           http://www.green-alliance.org.uk
Citizen involvement: combines skills
and input of large numbers of people
(collecting data)
Quality delivery: problems can be
fixed easily
Transparency: more people oversee
the data and spot problems or potential
improvements
                                                            Cabinet Office
Was main feature on data.gov.uk for months!
Local Authorities
 www.cyclestreets.net/localauthorities
 http://cyclejourneyplanner.westsussex.gov.uk/
 www.cyclingscotland.org
UK Collision Map
 www.cyclestreets.net/collisions
Cyclescape
 Campaigning toolkit
 For campaign groups around UK
 Match, using geography, who
  is interested in what
 blog.cyclescape.org
 Ruby on Rails (new for us!)
 Really would welcome coders
     github.com/cyclestreets/toolkit/
David Earl




                   Martin Lucas-Smith,
             www.CycleStreets.net
                 Twitter: @cyclestreets
                  info@cyclestreets.net

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Talk: "Using Open Data and Crowdsourcing to develop CycleStreets"

  • 1. Using Open Data and Crowdsourcing to develop CycleStreets Martin Lucas-Smith CycleStreets.net @CycleStreets
  • 2. What does CycleStreets do? Cycle journey planner Photomap / Cyclescape Online service, 2m journeys so far Campaigning tool
  • 3. CycleStreets: who? Simon Nuttall Martin Lucas-Smith Routemaster Webmaster … and various people helping out in various ways!
  • 4. CycleStreets: history  Cambridge-only cycle journey planner  Originally written for Cambridge Cycling Campaign  Launched June 2006  Google Map –based  5,000 lines drawn over satellite imagery  Google doesn’t give you data: just cartography  47,000 journeys planned  15,000 photos added
  • 5. CycleStreets: history  Lots of requests for same thing in other places around the UK  Result is CycleStreets  We are using OpenStreetMap for our data  We don’t have money for an OS license  Community aspect really important anyway  OpenCycleMap cartography  Went to public beta in March 2009  2m journeys so far  Mainly word-of-mouth so far
  • 7. CycleStreets Journey planner [Quick demo] http://www.cyclestreets.net/
  • 11. “OpenStreetMap (OSM) is a collaborative project to create a free editable map of the world.” - Wikipedia Collaborative:  Jul 2007: 9,000 people; April 2012: Almost 600,000 Project:  Not just a map - mass of ideas, processes, data, outputs Free:  Free financially and Free as in open Editable:  Constantly changing Of the world:  Global, not just UK where it started
  • 12. OpenStreetMap “OpenStreetMap creates and provides free geographic data such as street maps to anyone who wants them. “The project was started because most maps you think of as free actually have legal or technical restrictions on their use, holding back people from using them in creative, productive, or unexpected ways.”
  • 13. OpenStreetMap UK – Ordnance Survey: Very high quality, but ... Cost can be prohibitive  (particularly voluntary sector) Derivative data restrictions  Ordnance Survey has claimed derived data rights when you place something over one of their maps  Incompatible with direction of the Internet, where data is being ‘mashed’ together to make useful information and visualisations Central control – change slower
  • 14. Crowdsourcing principle “Crowdsourcing is the act of taking a job traditionally performed by a designated agent (usually an employee) and outsourcing it to an undefined, generally large group of people in the form of an open call.” http://crowdsourcing.typepad.com/ Everyone knows a little bit about something in their area. Put that together and you get:
  • 15. OpenStreetMap OpenStreetMap website default style
  • 16. OpenStreetMap Cloudmade ‘Fresh’ style (#997)
  • 17. OpenStreetMap Cloudmade ‘Googley’ style (#5138)
  • 18. OpenStreetMap OpenCycleMap
  • 19. OpenStreetMap OpenCycleMap
  • 20. OpenStreetMap CycleStreets data view
  • 21. OpenStreetMap CycleStreets data interrogation
  • 22. OpenStreetMap http://tolu.giub.uni-bonn.de/karto/osm-3d/Screenshots/Dresden/Dresden2.jpg
  • 23. OpenStreetMap Glosm 3D (Russia)
  • 24. OpenStreetMap http://wiki.openstreetmap.org/wiki/File:Rostock-warnemuende.leuchtturm.osm-3d.jpg
  • 25. OpenStreetMap http://wiki.openstreetmap.org/wiki/File:Seamap.png
  • 27. OpenStreetMap http://opengeodata.org/pretty-osm-derived-art-maps
  • 28. OpenStreetMap Urban accessibility of Castelfiorentino
  • 29. OpenStreetMap Bike Hub app, uses CycleStreets routing
  • 30. OpenStreetMap First tactile map based on OSM data published on May 12, 2009
  • 31. OpenStreetMap OpenPisteMap
  • 33. OpenStreetMap Marikina Mapping Party cake (4th Mapping Party in the Philippines)
  • 34. Data collection  Structured ground surveys – main source  Ground surveys, performed by a mapper  On foot, bicycle or in a car or boat.  Usually collected using a GPS unit  Government data sources  Landsat 7, US TIGER data, OS OpenData  Commercial data sources  AND from Netherlands  Traced from satellite imagery  e.g. Yahoo!, Microsoft Bing have donated
  • 35. Objective data  OSM is a store of objective data  Everything must be verifiable  Subjective data is not welcome  Subjective assessment is the realm of the consumer of the data  E.g. Cycle journey planner decides on the likely niceness of a street based on objective attributes like speed limit, width, surface quality  My cycle to work would be different to my mum’s: we have different preferences for a ‘good’ route
  • 36. OpenStreetMap ITO World animation 'OSM 2008 - A Year of Edits'
  • 37. Data collection  Mapping takes place individually or in groups
  • 38. Ground surveys  Individuals or groups survey using GPS and taking notes  Made easier by GPS technology  2000: Bill Clinton switches on wider GPS availability  Mid-2001: GPS units available for $100  2004: GPX standard (GPS data transfer) widespread Photo attribution unknown – please do contact us if you know
  • 39. Mapping parties  A group of openstreetmappers and novices  Go to area & map it exhaustively, usually over a weekend  Dividing up an area between participants and mapping it  Mapping by car, cycle or walking  Social aspect important: people can meet up and talk (usually at a pub) between mapping sessions Photo: David Earl Photo attribution unknown – please do contact us if you know
  • 40. Mapping parties Photo attribution unknown – please do contact us if you know  e.g. Walking Papers: Print current state, annotate, load back in  http://walking-papers.org/
  • 41. Social context  Social context important  Community decides on data collection and structure norms appropriate to their situation The mapkibera project is training locals people of Kibera, Nairobi to create a map with OpenStreetMap Technologies used depend on circumstances Map Kibera
  • 42. Social context  Importing other people’s data?  Massive debate within the OpenStreetMap community  (Assumes donated data is compatibly licensed)  One view: importing data gives the impression that an area doesn’t need to be mapped in person and reduces volunteer input  TIGER data import in US very problematical http://www.slideshare.net/harrywood/wherecampeu-session-state-of-the-states-in-openstreetmap  Another view: importing data gives a massive head-start and means we can get into much more detailed mapping  Data creators vs Data consumers have different perspectives  CycleStreets needs a reasonably complete map!
  • 43. Social context  Is objectivity always possible?  WikiProject Gaza  Practical issues  How do you represent a location where only some people can enter/exit? Photo attribution unknown – please do contact us if you know
  • 44. Social context  How do you represent a location where only some people can enter/exit? Photo attribution unknown – please do contact us if you know
  • 45. Social context  Crisis Mapping: WikiProject Haiti  Before January 12, 2010  Then NOAA, GeoEye, DigitalGlobe flew planes over the area, and donated their imagery for tracing purposes  People around the world at their computers contributed to effort  Roads, buildings and refugee camps of Port-au-Prince mapped in just two days  “The most complete digital map of Haiti's roads”
  • 46. Haiti  The resulting data & maps have been used by several organisations providing relief aid, such as the World Bank, the European Commission Joint Research Centre, the Office for the Coordination of Humanitarian Affairs, UNOSAT, others
  • 48. Informal data structure  No formal specification of how to represent things  No database schema – just key-value pairs  Reflects the social context of the users  Users make it up as they go along  Communities of interest  norms  Conventions established, then stability  User/collector cycle embeds the convention
  • 49. Informal data structure  Nodes & Ways, Tags  http://wiki.openstreetmap.org/wiki/Map_Features describes the (many) conventions formed so far  Examples  Motorway represented as: “highway=motorway”  Local street: “highway=residential”  Guided bus! “highway=bus_guideway”  Fence: “barrier=fence”  Cycleway: “highway=cycleway”. But what type?  “cycleway=lane”  “cycleway=track”  “cycleway=opposite_lane”  POIs: “amenity=postbox”, “shop=charity”  Not to forget... “amenity=pub”
  • 50. Adding data Potlatch 2 – www.openstreetmap.org (www.geowiki.com)
  • 51. Adding data Potlatch 2 – www.openstreetmap.org (www.geowiki.com)
  • 52. Potlatch 2 editor [Quick demo] http://www.cyclestreets.net/edit/
  • 53. Adding data JOSM – Java OpenStreetMap Editor – advanced users
  • 54. Adding data The ArcGIS Editor provides: • Simple tools to upload and download OSM data • An OSM-compatible geodatabase schema to locally store OSM data • An OSM symbology template for faster editing • Conflict-resolution tools for reconciling data back to the OSM database ArcGIS plugin for OpenStreetMap (free)
  • 55. OSM / Google Maps Google doesn’t provide any data – just a picture Also doesn’t always have information needed by cyclists/walkers – park paths, cut-throughs, pubs! (Though is improving) OSM Google maps
  • 56. OSM vs Ordnance Survey  Depends what scale  Question is intended use  “Good enough” notion  OSM will never be good enough for utility companies needing exact location of pipes  But for many other uses, OSM appropriate and good enough Sutton Coldfield B72:
  • 57. OSM vs Ordnance Survey  Costs money – not free  Big difference is the license – not free (libre)  Plot points on a map and the OS claim some rights to that  Derivative data issues  Major problem in the age of the internet, where data is being shared, mixed, repurposed  By contrast, OSM uses a Creative Commons license
  • 58.
  • 59. Challenge to traditional mapping agencies  Ordnance Survey seeing more competition  OSM and internet sharing more generally forcing a change in business models?  Lowering data use costs  Lowering data collection costs  Forcing derivative data restrictions to be removed  Challenge in the small-scale map data area
  • 60. Opens new opportunities  Businesses like Microsoft, Google and others presumably spend a small fortune on mapping data  Bing Maps (Microsoft) and MapQuest (AOL) now actively putting money and resources into OSM project  Perhaps speculatively  OSM will provide them with a cheaper way of providing data with far fewer restrictions in future?
  • 61. Quality assurance issues  Can we trust open data?  Depends whether it’s ‘good enough’ for your use  Can we trust formalised data?  Tales of lorry satnavs for instance  Balance between accuracy and speed/volume  Arbury Park in OSM as it was built – others slower  Quality around the country variable  How can we ascertain this?  Vandalism  But there’s the ability to watch an area for changes  More people = more vigilance or more vandalism?
  • 62. Difficulties we face with OSM  Coverage not uniform  Lack of quality control: makes harder to engage Local Authorities  Vandalism a concern for some though not in practice  Subjective data?  Maybe in future: lack of static IDs – unique numbers for features change  Ability to engage local mappers when an area is deficient  Many of these problems will go away as OSM matures
  • 63. Challenge to traditional cartography  Cartography is a major area of interest within the OpenStreetMap community  Cartography is becoming more automated as Web 2.0 steams ahead  http://maps.cloudmade.com/  3D vector rendering – send data to device, not bitmaps
  • 64. Cloudmade map renderer demo [Quick demo] http://maps.cloudmade.com/ Click ‘Edit map style’ Click on a design to start from Click ‘Clone Style’ in the bottom-right Use the ‘Object Visibility’ box on the right to remove/add features
  • 65. OpenStreetMap ecosystem  At the heart of the OpenStreetMap project is a database holding all the map data that people work with.  Left: editors people use to enter data into the database  Right: all sorts of interesting uses for the data, e.g. ...
  • 66. OpenStreetMap uses  Non-commercial  Commercial / profit-making use absolutely fine  As long as people adhere to the license, i.e. give attribution and allow downstream users to share/re-use the data  Maps of very many kinds  Web routing  SatNav devices  Data analysis (e.g. accessibility analysis)  Placefinding  GPS background  Humanitarian  ...
  • 67. OpenStreetMap: Summary  Applies the Wikipedia approach of crowd-sourcing  Extremely flexible  Free (cost) and Free (libre)  Challenging traditional map agencies / business models and government funding models  Communities of interest and norms  Much scope for research  Varied uses: maps, electronic devices, humanitarian, ..  CycleStreets using it  As more data goes in, more uses, so more people add data, so more people use it, so ...
  • 69. Journey planner: features  Plan route from A-B, anywhere in UK  Simple user interface (we hope!)  Click-click-plan, and simple Namefinder  Gives set of route choices  (fastest, quietest, balanced)  Takes accounts of hills  Turn-by-turn directions  Photos-en-route
  • 70. Journey planner: features  Distance, time, CO2 avoided, Calories  Google Street View at any point  Localised versions for easy linking  E.g. cambridge.cyclestreets.net  Link methods  E.g. www.cyclestreets.net/journey/to/cb1+2py/  ‘Fly in Google Earth’  Export to GPS  Feedback system
  • 72. Photomap: features  Icons on map (per type of feature)  Click to view image and info  Add photo  Crowdsourcing: lots of people, but each donating a small effort  Categorisation  E.g. “Show me all the cycle parking problems in Cambridge”
  • 73. Mobile  Key features on small screen  iPhone app  Android apps  Mobile HTML5 app  All open source – help welcomed!  Jakob Nielsen: “Best Application Designs” - April 2012 (Lightweight Applications category
  • 74. Mobile  Other apps now incorporating our routing  API - data interface  Bike Hub – great world-first iPhone bike real-SatNav  In the leading Boris Bike app, ‘London Cycle’
  • 75. Why?  Fundamentally, we want to see “More people cycling, more safely, more often”  New cycle users face many challenges in UK:  Poor infrastructure, traffic hostility  Confidence cycling (address with training)  Cultural/identity issues: not yet mainstream  Lack of utility bikes in shops  Routes – different to car routes!  We try to tackle the last problem  ... and the first (through the Photomap)
  • 76. How a routing engine works • Find route with lowest score, i.e. least ‘friction’ • ‘Shortest path algorithm’ - Standard problem in computer science, we use A* method
  • 77. How it works (briefly)  1. Data comes from people collecting data on-street for OpenStreetMap  Remember: Is factual data only – e.g. presence of road, surface, type  NOT “I think this is a nice cycle route”  2. We take OSM data ‘off the shelf’  Though we’re part of the community in practice  Import several times a week: fresh data  Conversion process is complex – interpreting the data
  • 78. How it works (briefly) 3. Score each type of path: 4. Take account of hills (add/remove penalty) 5. Account for turn delays (work ongoing) 6. Take account of detailed cyclist behaviour (ditto)
  • 79. How it works (briefly)  7. Compress the network, to make the system much faster (system called ‘Cello’): A A 9 8 4 9: AC 10 7: AD,BD D 3 B B 6 6: BC C C 9 Park: 4 nodes & 7 ways After: 3 nodes & 3 ways
  • 80. How it works (briefly)  So each path / road / shortcut / etc. now has a score  Higher score = worse for cycling (more ‘friction’) User comes to the site  8. Find the lowest total score from A to B  9. Route is found  10. Repeat for quietest, fastest modes – each have different scores  11. Routes shown to user
  • 81. Draw over the cartography  We are using OpenCycleMap by Andy Allan  ‘Tiles’ which form a static background once a route has been planned – i.e. we just put this behind a line we have calculated
  • 82. Route feedback goes to OSM contacts
  • 83. Getting involved: open sourcing  All 3 mobile apps now open-sourced  Main journey planner being open-sourced  Latest update at http://cycle.st/b2221  Codebase currently harder to install than it should be  Currently modularising more heavily  Converting to Git  Cyclescape open-source  Very keen for greater involvement  www.github.com/cyclestreets
  • 84. Back in January 2011... Transport Direct CJP CycleStreets www.transportdirect.info/Web2/JourneyPlanning/FindCycleInput.aspx www.cyclestreets.net £2.4 million (from tax) £28k 92,000 journeys planned 458,000 journeys planned (dated Jan 2011, total now = ??) (dated Jan 2011, reached 2m as of now) £26.09 per journey 6p per journey £1m – budget for 2011 £130k needed 32 areas (professionally surveyed) UK-wide (but depends on OSM completeness)
  • 85. UKGov ... BUT things have now moved on a bit We’re working with the DfT through their data contractor to get data into OSM – funded project DfT have been very receptive to the open data potential We think cycle journey planning is most effective when done by local people using Open Data Merging tool created We continue to work to ensure that CycleStreets is solution of choice
  • 86.
  • 87. Big Society –compliant We tick all the boxes: Collaborative: involves local people Low cost: datasets have no license fee, agile delivery Trusted: for the people, by the people Open Data http://www.green-alliance.org.uk Citizen involvement: combines skills and input of large numbers of people (collecting data) Quality delivery: problems can be fixed easily Transparency: more people oversee the data and spot problems or potential improvements Cabinet Office
  • 88. Was main feature on data.gov.uk for months!
  • 89. Local Authorities  www.cyclestreets.net/localauthorities  http://cyclejourneyplanner.westsussex.gov.uk/  www.cyclingscotland.org
  • 90. UK Collision Map  www.cyclestreets.net/collisions
  • 91. Cyclescape  Campaigning toolkit  For campaign groups around UK  Match, using geography, who is interested in what  blog.cyclescape.org  Ruby on Rails (new for us!)  Really would welcome coders  github.com/cyclestreets/toolkit/
  • 92.
  • 93. David Earl Martin Lucas-Smith, www.CycleStreets.net Twitter: @cyclestreets info@cyclestreets.net