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