the informed rural passenger dagstuhl overview
DESCRIPTION
Overview of the dot.rural Informed Rural Passenger project given at an invited workshop at Schloss Dagstuhl, 2013TRANSCRIPT
David [email protected]
Informed Rural PassengerPete Edwards, John Nelson, Yaji Sripada, Jeff Pan, Caitlin Cottrill, Mark Beecroft, David Corsar,
Christopher Baillie, Milan Markovic, Konstantinos Papangelis
David [email protected]
dot.rural Exploring the contribution
digital technologies can make to: Enhancing key services Generating business
opportunities Boosting quality of life Promoting the economic, social
and environmental sustainability of rural areas across the UK and beyond
Support for knowledge transfer/exchange activities.
Intelligent information
infrastructures
Internet engineering
NLG &affective
communication
Reasoning, coordination & collaboration
Accessibility & Mobilities
Enterprise & Culture
Natural Resource
Conservation
Healthcare
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Informed Rural Passenger
Rural RTPI – lack of information infrastructure
Travellers desire:•Real time information.•Accurate, timely, & personalised disruption information.•Information on alternatives.
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A Passenger Information Ecosystem
Can we leverage Open Data? What is available? How can it be used?
Can we use mobile devices and crowd-sourcing to help fill information infrastructure ‘voids’? Passengers provide information to the system for benefit of
others.
How can we address such issues as provenance and data quality?
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Web Services
Information Ecosystem
Domain Data
NaPTAN
Passenger ObservationsTimetable
Users
Operators
Vehicle LocationTimetable Disruption Quality
AssessmentProvenance
Road Maps Disruptions
Clients
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GetThere Bus Android App
View bus routes & timetable View bus locations
Timetable (operator provided)
Real-time (crowd-sourced)
Available for routes in Scottish Borders
Demo
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Travel Behaviour Study Explore impacts of mobile RTPI on traveller
behaviour: Conducted in September/October 2013 15 participants (students at Herriot Watt - Borders
College campus) Approach:
Baseline travel behaviour interview
Participant uses app (2-3 weeks)
Follow-up interview to explore deviation from baseline behaviour
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Preliminary ResultsTravel behaviour variable Frequent users Infrequent users Total
Increased control 9/9 5/6 14
Bus service easier to use 6/9 6/6 12
Willingness to pay 8/9 4/6 12
Improved bus service 7/9 4/6 11
Waiting time 6/9 5/6 11
Increased satisfaction 6/9 4/6 10
Decrease uncertainty 3/9 3/6 6
Change in PT journeys 3/9 2/6 5
Impact decision making 2/9 1/6 3
Increased feelings of safety 1/9 1/6 2
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BusM8 – SMS Under development
Co-design workshops with older adults in Aberdeenshire
Themes influencing design Rural bus travel Mobile technology Travel information
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Reflections Lessons Learned
Data access challenges. Participation challenges. Data integration and veracity are major challenges. Design for different audiences.
Easier data access, more potential users. Developed expertise
Processing, publishing, using (transport) data. Integration of static and dynamic data. Handling data provenance and quality issues. User-led design for effective communication.
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Next Steps Integration of social media:
Public transport service providers currently communicate with customers via such networks as Twitter
Allows for public sharing of: Comments Complaints News Information
Research questions: How can this data be incorporated into the broader public transport
ecosystem? How can useful information be obtained from social media to:
Improve the passenger experience Provide benefit to the transport operator
What methods should be explored in terms of annotating, sharing, and analysing obtained data?
