2. Future cities will be
digital marketplaces
• Sensors will be everywhere
• Data will be pervasive
• Services will consume data
• How will distribution work?
3. Data distribution in the
future city
• Data will be distributed by
• Producers < have limited catalogue
• Cities < need deep pockets for long term investment
• Aggregators < can gather and scale
• Aggregators will win
4. Dominant paradigm will
be cross aggregation
• Aggregators can validate, standardise and add value
• Many private sector aggregators will arise, compete
and cooperate
• What will this competition look like?
5. Free data markets in
future digital cities
• Competition means free markets with open access to
the data
• Competition by feed attributes
• Competition by platform attributes
• Competition by T&Cs
6. Public data has to be
open & at marginal cost
• If there is public task, there must be access
• If there is access it must be at marginal cost
• State should only compete with re-users on equal
terms
• There must be equality of access to the data
• Data must be released in raw but usable form
8. Platform attributes
• Platforms will be differentiated by
• Discoverability, metadata
&catalogue
• Coverage and inclusion
• Innovation and customisation
• Pricing strategy
• Cross aggregation achieved
9. T&C innovation
• Reservation of rights in content/ distribution?
• Gate keeps the income, but inhibits reuse by
creating uncertainty and delay... platform may lose
in cross-aggregation competition
• Don't reserve rights in content/ reuse?
• Stimulates reuse and innovation, but income has to
be from packaging, service quality, customisation
10. Governance by
regulation or market?
• Market is best regulator
• Don't want official platforms... no innovation and
will be beauty contests for partnerships, no
pressure on prices
11. iMove project is a
prototype platform
• iMove has discoverability, data access and cross
aggregation in place… but no T&Cs of its own
• IMove has same data on platform from (in one case)
two sources… makes the choice of source down to
T&Cs
12. Governance needs to
be in the data
• If data is true, up to date and accurately described,
then it doesn't matter how it is aggregated and used
in a free society
• If there is use that misunderstands the data… the
market/media will correct
• Platforms will be new forms of advocacy/partnership
13. transportapi.com
•Covers all Britain’s public transport from open sources
•Live, timetables & infrastructure
•Historic archiving of movements
•Performance indicators
•Public transport journey planning
•Car and cycle routing
•500+ developers signed up
15. TransportAPI.com catalogue
Feed Source Footprint
Train service live departures Network Rail Great Britain
Train service timetables Network Rail Great Britain
Tube service live departures TfL London
Tube service timetables TfL London
Rail coach timetables Traveline National Dataset Great Britain
National Express coach timetables National Coach Services DB Great Britain
TfL Bus timetables TfL London
TfL Bus live departures TfL London
Non-TfL Bus timetables Traveline National Dataset GB non-London
Non-TfL Bus live departures Traveline NextBuses GB non-London
Journey planning itineraries Traveline SouthEast Traveline SE (England S. of Humber)
TransportBuzz tweet mapping TransportAPI UK and Ireland
Performance indicators for tube/train TransportAPI London/GB
Car-based journey planning from
postcode to postcode
TransportAPI/OSM Great Britain
Cycle-based journey route planning
from postcode to postcode
TransportAPI/CycleStreets UK
16. API Sign Ups Over Time
Lots of
growth…..
Rate of growth
accelerating
18. Performance as added
value•London Underground performance indicators
•Real travel time through London bus network
•Train lateness maps across country
20. Constant iteration & new
product development
“It's designed for transport planners and other
professionals in the industry to get a mix of
anecdotes and incident data for specific places. For
the rest of us, it's a gold mine of schadenfreude and
witticisms.”
http://transportbuzz.com