1. Let’s take the Bus!

2. NEED ? 10 CONGESTION In line with our objective 50% more passenger kilometers by bus in 2030 City wants to be carbon neutral by 2025

3. WHY NOT ME?? Bus Less accurate information Less maintained infrastructure Delays without any update Other Facility like WI- FI, Information desk, etc missing Metro Updated Information Highly maintained infrastructure On time. Incase of any delays proper updates All facilities and amenities available

4. 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

5. 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

6. Location: Australia Solution: Occupancy Indicator Brighter is the white dots behind the number fuller it is DESK research- observations

7. INCLUSION: Location: Australia Push button gives audible message of the the schedule of next two buses Enabling people with vision impairment DESK research- observations

9. 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

10. 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

11. 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

12. 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

13. 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

14. 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

15. 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

16. 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 StopsSuggested Bus Maps

17. 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

18. 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)

19. 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