Use Case Development Workshop 28 October 2019 Room 206, HKUSPACE - - PowerPoint PPT Presentation
Inter-Modal Transport Data-Sharing Programme Use Case Development Workshop 28 October 2019 Room 206, HKUSPACE Admiralty Learning Centre 2:00 -5:30 pm Dr John Ure Director of the Technology Research Project (TRP ) of the University of
Source: Preliminary Statement of Policy Concerning Automated Vehicles, National Highway and Traffic Safety Administration (NHTSA)
Source: ITS World Congress, Singapore 22-25 October 2019
Source: Smart City Blueprint (2017) https://www.smartcity.gov.hk/
Impact:
externally stimulated innovation
innovation
People, business, transport resource coordination
Rail operators Bus operators Ride sharing operators Taxi operators Vehicle sharing operators
Technology and infrastructure Data Services Customer delivery
Based on BSI PAS 181:2014 Smart City Framework – Guide to establishing strategies for smart cities and communities
Mass Transit
Source: Smart Mobility Roadmap, July 2019: https://www.td.gov.hk/file manager/en/publication/s mr_roadmap_hk.pdf
Source: https://www.td.gov.hk/file manager/en/publication/s mr_roadmap_hk.pdf Identifies 5 ‘key objectives’:
Source: ITS World Congress, Singapore 22-25 October 2019
1.15 to 2:00 Registration 2:00 to 2:15 Introduction to workshop goals and structure 2:15 to 2:45 Brief introduction to each case: each lead organisation (5 mins per group) 2:45 to 3:45 Focus groups working on use cases 3:45 to 4:15 Tea break 4:15 to 4:45 Presentation of results: (5 x 5 min each and Q&A) 4:45 to 5:15 Whole group discussion 5:15 to 5:30 Next steps and conclusion
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T H E I N T E R
O D A L T R A N S P O R T D A T A
H A R I N G P R O G R A M M E
Use Case Development Workshop Room 206 HKUSPACE Admiralty Learning Centre Admiralty, Hong Kong 14.00 to 17.30, 28 October 2019 (registration from 13.15)
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Workshop on inter-modal transportation data-sharing in HK, 28.10.2019 Robin Pilling, Head of Product, Daimler Mobility Blockchain Factory
High technical integration effort Centralization and monopolization
Source: Survey among industry leaders conducted by Bearing Point Institute (2017): Mind the Gap – closing the gap between multimodal theory and reality
3rd PARTY PLATFORM PROVIDER
What is holding organizations back from a multimodal future? technical integration and lack
93 % 82 %
unclear and immature business models
55 %
lack of co-operation, rivalry and governance between the modals
Democratized protocols
and open mobility business software
through their customer channel by additionally providing services
assets form
companies
with business and technology partners a Minimum Viable Ecosystem (MVE) needs to be established. Pluggable through standard API’s
(1) What product service do we want to jointly build for inter-modal transportation in HK? (2) Which technical capabilities would our service
(3) Which partners have the expertise and are interested in building such technical capabilities? (4) How would a governance and operating model needs to look like?
Tha- les HKIA City Bus
+
Octo- pus MTR HK Taxi KCB
Mobility mode Relevant data Car-, bike-, scooter-, moped- sharing
area
Taxi/Ridehailing/ Ridesharing
Mobility mode Relevant data Individual motorized traffic
congestion
Individual biking and walking
Public transport
Ci City mob mobilit ity platform City ob
jective fun funct ction based on long-term goals Day-to-day mob mobilit ity ma manag nagement
function
Bl Blockchain in-enable led mu mult ltimodal l ci citiz izen app Long-term infrastructure planning
8
Mob Mobil ilit ity Ser ervic ice Prov Provider Int Integration exa example les: s:
station monitor, ticketing);
Real
eal-time inf nformatio ion (e.g. traffic and PT data) will be critical
Int
Intermodal l rout
ing is an optional part of the solution
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Ecology inf nformation as e.g. carbon footprint could as well be integrated as e.g. credit system Not
int ntegratin ing tr traff ffic si situ tuatio ion and nd mob mobil ility reco ecommendations
Blo lockchain Mobility Plat latform
Data sources
App Ba Back ckend
Routing (street & PT, Real-time) Places Search Routing Objectives PT schedules
Ci City Mob Mobil ility Da Data ta Pl Platform
Objective Function Recommendation Engine Simulator Prediction Module Dashboard: KPIs, Analytics, Reports Intermodal Routing Multimodal Constraints
Adapters Prediction Engine Payment User Authentication City Platform Adapter
Mult Multimodal l Ci City App
Discovery Map with all Modes A-to-B search Booking & Payment for all modes PT Ticketing PT timetable info User Signup/ Profile Trip Companion City Platform Push Info
User Management
David Adelman | VP of Global Partnerships david@ridewithvia.com
Car Sharing On-Demand Transit Private Car Taxi Public Transit
Ride-hailing
O N - D E M A N D A D D R E S S E S F I X E D T R A N S I T C H A L L E N G E S Coverage
Many areas are underserved by transit
Convenience and reliability
Consumers now expect fast, quality service
Capital
Infrastructure budgets are squeezed
First/last mile
Connect riders to local transit (i.e. BRT feeders)
Tech-enabled and dynamic
Appeal to younger, more demanding riders
Affordable to city and riders
Pilot with limited upfront costs, and easily adapt
Challenges of fixed-route transit Strengths of on-demand model
Deployments
Countries
Rides/month
Engineers
On-demand is now established in major cities around the world Overview of Via and ViaVan presence
D R T G L O B A L G R O W T H
Global market for Direct Response Transit (DRT) in 2030, up from $3 billion in 2017
annual growth rate Demand-responsive shuttles are modelled such that they are complementary to public transit; hence, public-private partnerships will be vital to widen the market and direct resources effectively… Efficient shared mobility that offers convenience along with increasing utilization
model would be instrumental in revolutionizing the mobility market.”
Source: Frost & Sullivan, ‘Strategic Analysis of the Global Demand -Responsive Transit (DRT) Market, Forecast to 2030’
Q U A L I T Y S E R V I C E AT T R A C T I V E P R I C I N G S M A R T C A M PA I G N S
How will we get people in Hong Kong to embrace shared rides?
Gain experience | Understand what it takes to be successful, and get ahead of the curve
Optimize the service | Tweak the algorithms and adapt the service to local market needs Prepare for autonomy | AVs will start with public fleets. Will Hong Kong be ready?
Challenges
challenges can on- demand address?
challenges we’ll face when implementing on- demand?
Opportunities Enablers Next steps
are most attractive for a POC?
to implement first?
stakeholders should we engage to ensure success?
happen between today and POC launch?
David Adelman | VP of Global Partnerships david@ridewithvia.com
Why count pedestrians to improve walkability in Hong Kong?
Jean-Francois Rheault VP International Operations October 28th, 2019
Design & manufacture bike and pedestrian counters Work with cities to develop data collection progams More than 18,000 counters in 55 countries
Parks and trails Pedestrian streets On sidewalks On bridges and
In retail areas
that is not currently collected (with examples) relating to walking and cycling, including the infrastructure on which they depend;
public transport, PTIs and the regulator, whilst ensuring meaningful integration of walking and cycling into the transport hierarchy; and
Jean-Francois Rheault
VP International Operations, Eco-Counter jfr@eco-counter.com