beyond big: mainstreaming technology and digital data in...
TRANSCRIPT
Randeep Sudan and Shomik Mehndiratta
Anna Lerner, Camila Rodriguez, Edward Anderson, Holly
Krambeck, Juan Navas-Sabater, Tatiana Peralta, Winnie Wang
Beyond Big: Mainstreaming
Technology and Digital Data
in Transport Planning
2016: Big Data in Support of Transport Policy Decisions on Accessibility and Affordability
New Technologies & Its Applications
• Understanding Spatial Patterns from above
• Drones
• Earth Observation
• Understanding Mobility Using Passive Data
• Cellphone Data
• OpenTraffic
• Data Derived from Operations
• Automatic Vehicle Location (AVL)
• Automatic Fare Location (AFC)
2016: Where does this leave us?
18
• The availability of Data is exponentially increasing
• Data Curation and Open Standards
• Data Processing and inter-operability
• Fit for purpose
• Innovation in Technology
• Leapfrogging
• Dynamic
• Internet of things
• Need to be driven by the goals
• Accessibility
• Affordability
• Resilience
How do we mainstream digital?
• Integrated Platforms
• Scaling up and mainstreaming proven digital data solutions• Digital Literacy
• New Data Business Models & Leveraging Partnerships
• Next Gen & 2050 AgendaLow Cost
Geo-Spatial Tech
Data Standards
Cloud Computing
Integrate modular
analytics plug-ins that
leverage data standards
& produce operational
analytics
Visualization & Analytics
Cloud-based content
management system
built using Open Data
Standards, such that the
data is re-usable, and
interoperable
Open Standards & Storage
Consolidating new low-
cost data collection
methods and
technologies
Strategic Data Collection
Elements of Data Collection Process
Project Evaluation
Local Planning
Global Tracking
Framework
Indicators for
Strategic Data Collection Open Standards & Storage Visualization & Analytics
What we learned
• A lot of work has been done in:
• Data Collection Methods
• Data Visualization and analytics
• Most of the work has been on end to end pilots
• Data Standards are the key to integration and
Scalability
• Agenda is often driven by technology
URBAN TRANSPORT
GTFS
Open Traffic-
OSMLR
Urban Accessibility
Affordability
Modal Accessibility
Crowdsourcing, Sketching
tools & Open Learning
Public
Tra
nsport
Open Traffic
Private
Tra
nsport
Strategic Data Collection Open Standards & Storage Visualization & Analytics
Data Standards: GTFS Open Learning Course
0 – Welcome!
1A – What is GTFS? History & File Structure
1B – What is GTFS? Geodata & Community
2 – Setting up a GTFS Feed
3A – How to collect data for a city’s first feed
3B – How to map transit data
3C – Stories from the field
4A – Introduction to GitHub & Open Source
Tools
4B – App Survey
5 – GTFS-Realtime
6 – Conclusion & Looking Forward
General Transit Feed Specifications
(GTFS) is the defacto standard for using
and sharing public transit data. To further
the use this data standard, an Open
Learning Course has been developed.
The materials have been finalized and the
OLC course is now in development by
the Knowledge Management Unit
ROADS
Accessibility
Criticality Analysis
& Prioritization
Network
Resilience
RoADS Road Asset Data Standard
OpenRoads
New
Technologies
Open Street
Maps
Strategic Data Collection Open Standards & Storage Visualization & Analytics
Data Standards: Creating ROADSThe creation and use of Open Data Standards
allows for the interoperability and scalability of
tools, dissemination and technologies to be
replicated in a wide range of environments. The
emergence of Open Standards has catalyzed the
development of planning, analytics and
monitoring platforms.
With Roads Global Solutions Groups Lead a Road
Data Standard (ROADS) has been drafted. As a
next step, the draft of the standard, will be
finalized in coordination with the larger road
asset management community –both internally
and externally– to create an international
standard.
DRIVERData for Road Incident
Visualization, Evaluation, and
Reporting
ROAD SAFETY
Geo-locating collisions
Android
application IRTAD
Strategic Data Collection Open Standards & Storage Visualization & Analytics
The OpenTraffic program leverages open-source technology and big data partnerships to
substantially reduce the cost of traditional traffic data collection and analysis, while
simultaneously improving the quality of the data. This is the first scalable open-source program
of its kind, empowering less-advanced economies to leapfrog a stage in Intelligent Transport
systems development.
Open Traffic: Innovation in Data Partnerships
Dynamic Pricing for TNCSão Paulo has developed a mechanism to use TNC data to establish a dynamic price per kilometer for TNCs operating in the
city, formulating public urban mobility policies of interest to the Municipality. The prices is based on:
Accessible vehicles: inclusion
of persons with reduced mobility
Time of use: rationalizes
the use of the road and discourages
drunk driving
Stimulus to service to the periphery:
decentralization and provision of
transportation to regions with reduced PT supply
Congestion Pricing: reduces
the number of vehicles on
the roads
Gender equality: incentivizes
the participation of female drivers
Incentivizes low-polluting vehicles
Zanzibar Mapping Initiative
This project evolved as client request into the largest
survey drones mapping project in the world at
3000+ flights and serve as a demonstrator for a range
of WBG Land Administration and Risk Assessment
projects.
The new data are 4 times higher resolution than 2009
map allowing for new applications in issues such as
land adjudication, landfill volumetric monitoring,
cultural heritage mapping, flood risk assessment, that
were previously not possible
www.zanzibarmapping.com
2050 Agenda: The Three Revolutions
Sharing
Electric
Automation
ICT –enabled Hyper-connectivity, data collection and advanced analytics
Working with KOTI• Knowledge Exchange
• Total Project Cost Management, TPCM system that oversees
public investments and coordinates among agencies.
• “Better Transport Data for Sustainable Transport Policies and
Investment Planning”
• TOPIS Indicators of Transport Planning
• Supporting Sustainable Deployment of Existing Digital Data