Transit Trails: How do bus cuts affect congestion & coverage?
Let’s take the Bus!. NEED ? 10 CONGESTION In line with our objective 50% more passenger kilometers...
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Transcript of Let’s take the Bus!. NEED ? 10 CONGESTION In line with our objective 50% more passenger kilometers...
Let’s take the Bus!
NEED ?
10
CONGESTION
In line with our objective
50% more passenger kilometers by bus in
2030
City wants to be carbon neutral by
2025
WHY NOT ME??Bu
s • Less accurate information
• Less maintained infrastructure
• Delays without any update
• Other Facility like WI-FI, Information desk, etc missing
Met
ro • Updated Information• Highly maintained
infrastructure• On time. Incase of any
delays proper updates• All facilities and
amenities available
• To identify best practices in other cities
• To know possible ways to exploit Big Data for improving Bus Usage
• Ways to encourage bus usage
What are the smart Bus Shelters in other cities across
the world doing?
• Interview bus & non-bus riders and observe behavior
• Non-probability sampling, diverse set of interviewees
• Unstructured interviews, yet always relevant to problem
• Capture feedback, photos
What are key challenges for bus adoption in Copenhagen?
• Analyzing the perception of Buses in travel choices
• Give recommendations to the City of CPH/ IBM to increase the bus ridership
• Key goal is to improve bus travel experience through better, more reliable service
How can the challenges be met to make buses more
popular?
Research methodology
DESK RESEARCH
Field RESEARCH
Analysis/ solutions
DESK research- THEORY
Nudging • Influencing people’s behavior
Criticism • Manipulative
Defense • Making preferences salient • Enabling Feedback
Stakeholder sustainable mobility paradigm
• Inclusive research and implementation process
• Empathizing with different people’s perspectives before recommending actions
Location: Australia
Solution: Occupancy Indicator
Brighter is the white dots behind the number fuller it is
DESK research- observations
•
INCLUSION:
Location: Australia
•Push button gives audible message of the the schedule of next two buses
•Enabling people with vision impairment
DESK research- observations
DESK research- observations
Field research: Interviewee feedback
Frequent bus
riders
• Typically fixed routes, some combine modes
• Seldom use of travel info, reliance on day-to-day experience
Infrequent bus
riders
• Occasional use based on routines (e.g. rain)
• No information provided on location/ connections on the bus
• Lack of update in case of bad weather
Non bus riders
• Unaware of bus routes and what alternatives to their normal commute would be
• Don’t perceive buses reliable and well integrated with other public transport
Travel information provided ignored by public
• Passengers don’t pay attention to bus stop info screens• Predicted arrival time unreliable and confusing
Current infrastructure poses ‘entry barriers’
• Some stops are badly maintained, screens not working• All information (e.g. changes to routes) in Danish only• Disadvantage to tourists, international and new citizens
No streamlined approach to tackle challenges
• Bus stop information infrastructure varies across town• Digital info screen on stops very small, constantly
changing, flickering, inaccurate• Safety hazard of cyclists passing while passengers board
Field research: Own observations
Stakeholders
City of Copenhagen
Bus operator Movia
CPH Travel App Rejseplanen
Big data solutions provider IBM
Existing and potential bus
riders
Best practitioners:• Google• University of NSW• City of Aachen
Stakeholders
Potential Solutions
Real time information data systems • big data applications
Convenient small smart solutions• light, map, indication stop, capacity indicators
Risks/Limitations• Highly institutionalized multi-stakeholder environment• Varied focus on key bus transportation issues in CPH/DEL
Potential solutions
Real time arrival time prediction• Map 1) real time bus location vs 2) expected location from
timetable and 3) traffic situation
Digital Maps at Bus Stops• Visualized bus arrival info based on real time data
Smart Rerouting• Planned/unplanned rerouting decisions and communication
through real time traffic information and screens on bus stops, show alternative connections
Possibilities with Big Data and Networks
Bus capacity smoothing• Tracking bus occupancy through data from check in and
outs and the tickets bought
Effective routing• Managing the long-term routes and medium-term
rerouting based on the historic and real time data gathered
Frontrunners• Taking Inspiration from the Bus Transit System running in
the city of Aachen and IBMs own system AllAboard
Possibilities with Big Data and Networks
Possibilities with Easy Smart solutions
Real time maps at bus stops and personalized information on the mobile app
Current Rerouting Information vis a vis Rerouting information provided on the app
A better display board for the bus stop and the arriving busses
• A red light behind busses to indicate cyclist to stop• Occupancy indicators either on the exterior of the
bus or on the info board – availability of seats, prams and bikes
• Maps showing only bus routes
Possibilities with Easy Smart solutions
Zonal Info on Bus Current Maps on Bus Stops Suggested Bus Maps
Next steps
CPH – Continued stakeholder engagement Investigate and establish partnerships
DEL – Address key local bus challenges First thoughts: Mode integration, payments
Implementation focus Main objective: IMPACT! Pitch solutions to
stakeholders
Next steps
Backup slides
• Local area maps • Stop specific timetables
• Maintained on a regular basis so that information remain updated and facilities are clean
• Night time safety (camera- showing people from other bus stop as well)
On high speed road, the bus can go into an indented way providing added safety to the passengers
Yellow box near the bus stop for bus drivers and others to identify the bus stop
Low floor buses: meet the bus stop at the same level to enable the passengers to take the bus with having to take a step up