Inter-Modal Transport Data Sharing Programme

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Urban Transport on the Move: Connecting Policies, People and Business Opportunities Presentation by Dr John Ure Programme Coordinator

Inter-Modal
Transport
Data
Sharing
Programme
Presentation by
Dr John Ure
Programme Coordinator
Fellow of the Centre of Urban Studies and Urban Planning
The University of Hong Kong
Director of
Johnure@trpc.biz
BEC EnviroSeries Online Conference (27 November 2020)
Urban Transport on the Move:
Connecting Policies, People and
Business Opportunities

Inter-Modal Transport Data Sharing Programme
from inception to execution
ITF funding
July 2020 – Jan 2021
2019
Forums and
Workshops Use-Cases
Stakeholders
1. Operators
2. Vendors
3. Govt
4. NGOs
5. Researchers
2018
Inter-Modal Transport
Data-Sharing
Inception by TRP
(HKU)
Smart City Report
2015 by CPU

Inter-Modal Transport Data-Sharing Project
Data Trust
• Set up at HKU under the supervision of Dr Zhou
Jiang Ping, Department of Urban Planning and
Design
• HK Team management
• Andrew Pickford
• Terry Graham
• RA Sam Ho, Kiu Sang
• Data Controllers (DCs) contribute data
• Transport Data Algorithm Service Providers
(TDASPs) share algorithms
• Stakeholders propose use cases
Global Cities Research
• Study other global cities for examples and transferable lessons
• RAs Valerie Pang Chor Kiu and Leslie Lei Shuyu
• Apply to the study of intermodal transport solutions in HK
• Policy & regulatory issues (Waltraut Ritter and Marina
Huynh)
• On-demand mobility options (Andrew Pickford and Terry
Graham)
• Environmental issues (John Ure and Jenny Wan)
• Highlight the role of data sharing for smart city transport
policies
• Public open data
• Commercially sensitive data
• Data-sharing business models

Working Paper of the Environmental Interest Group
https://trpc.biz/decarbonising-public-transport-in-hong-kong
1. Estimates health costs
arising from emission
pollutants from buses
(HKD800 million annually)
2. Estimates costs of replacing
6,000+ bus fleet with e-
buses from 2024 onwards at
HKD24 billion
3. Additional costs are
recharging/refuelling
infrastructure
4. Case for redesigning PTIs
and street connections to
stations to assist walking,
disabled persons and cyclists

DATA TRUST
DATA CONTROLLERS
GOVERNMENT DEPARTMENTS
Exchange Square PTI POC
1. MOUs signed by those contributing data
Operators, Payments Provider, Others
2. Data anonymized by hashing
3. Encrypted data sent to Data Trust
4. Transport Data Algorithm Service
Providers
1. MOUs validated in consultation with the
Privacy Commission
2. Government agencies engaged through
workshops
3. Invited to propose use cases alongside
data controllers
1. Managed by HKU as a trusted third party
2. HKU enters MOUs with DCs and TDASPs
3. The Data Trust simulations of use cases
4. Results published end January 2021
5. Post-Jan 2021 the Data Trust model could
be available for wider use in HK

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5th Power Grid Model Meet-up It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology. Power Grid Model The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services. Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability. Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization. What to expect For the upcoming meetup we are organizing, we have an exciting lineup of activities planned: -Insightful presentations covering two practical applications of the Power Grid Model. -An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024. -An interactive brainstorming session to discuss and propose new feature requests. -An opportunity to connect with fellow Power Grid Model enthusiasts and users.

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Inter-Modal Transport Data Sharing Programme

1. Inter-Modal Transport Data Sharing Programme Presentation by Dr John Ure Programme Coordinator Fellow of the Centre of Urban Studies and Urban Planning The University of Hong Kong Director of Johnure@trpc.biz BEC EnviroSeries Online Conference (27 November 2020) Urban Transport on the Move: Connecting Policies, People and Business Opportunities

2. Inter-Modal Transport Data Sharing Programme from inception to execution ITF funding July 2020 – Jan 2021 2019 Forums and Workshops Use-Cases Stakeholders 1. Operators 2. Vendors 3. Govt 4. NGOs 5. Researchers 2018 Inter-Modal Transport Data-Sharing Inception by TRP (HKU) Smart City Report 2015 by CPU

3. Inter-Modal Transport Data-Sharing Project Data Trust • Set up at HKU under the supervision of Dr Zhou Jiang Ping, Department of Urban Planning and Design • HK Team management • Andrew Pickford • Terry Graham • RA Sam Ho, Kiu Sang • Data Controllers (DCs) contribute data • Transport Data Algorithm Service Providers (TDASPs) share algorithms • Stakeholders propose use cases Global Cities Research • Study other global cities for examples and transferable lessons • RAs Valerie Pang Chor Kiu and Leslie Lei Shuyu • Apply to the study of intermodal transport solutions in HK • Policy & regulatory issues (Waltraut Ritter and Marina Huynh) • On-demand mobility options (Andrew Pickford and Terry Graham) • Environmental issues (John Ure and Jenny Wan) • Highlight the role of data sharing for smart city transport policies • Public open data • Commercially sensitive data • Data-sharing business models

4. Working Paper of the Environmental Interest Group https://trpc.biz/decarbonising-public-transport-in-hong-kong 1. Estimates health costs arising from emission pollutants from buses (HKD800 million annually) 2. Estimates costs of replacing 6,000+ bus fleet with e- buses from 2024 onwards at HKD24 billion 3. Additional costs are recharging/refuelling infrastructure 4. Case for redesigning PTIs and street connections to stations to assist walking, disabled persons and cyclists

5. DATA TRUST DATA CONTROLLERS GOVERNMENT DEPARTMENTS Exchange Square PTI POC 1. MOUs signed by those contributing data Operators, Payments Provider, Others 2. Data anonymized by hashing 3. Encrypted data sent to Data Trust 4. Transport Data Algorithm Service Providers 1. MOUs validated in consultation with the Privacy Commission 2. Government agencies engaged through workshops 3. Invited to propose use cases alongside data controllers 1. Managed by HKU as a trusted third party 2. HKU enters MOUs with DCs and TDASPs 3. The Data Trust simulations of use cases 4. Results published end January 2021 5. Post-Jan 2021 the Data Trust model could be available for wider use in HK

6. ANY QUESTIONS?

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