Monitoring & Evaluation ADEPT Autumn Conference
Monitoring and Evalu luation Karen Farquharson Provin ing Servic ices
Key Objectiv ives of Monit itorin ing & Evalu luatio ion Framework ß Share and disseminate learning across the programme and the wider ADEPT membership, including to: ß Help identify where synergies across the programme may deliver improved outcomes. ß Identify and reduce any duplications of effort and associated cost . ß Help capture, monitor and assess the key learning & benefits (both quantitative & qualitative) to be realised from the research. ß Quickly identify where intervention and support are required. ß Help identify the future service, social, economic and commercial opportunities derived from the research.
Monitoring Schedule • Research Project In Initiation ( December 2019 / / Ja January ry 2020) …early 2020s onwards • Includes an assessment of knowledge sharing opportunities. • Includes options for research projects consolidation. • Waypoint #1: : Progress & Performance Revie iew (A (April / / May 20 2020 20) • Implementation & Early Indicators Review & Assessment • Includes benefits realisation, achievability risks & options for research projects consolidation. • Waypoint #2: : Progress & Performance Revie iew (N 20 ) (November / / Dec ecember 20 2020 • Research Case Analysis & Lessons Learnt • Re-weighted to focus on the veracity of the data and findings to support benefits realisation. • Waypoint #3: : Research Fin indings Revie iew (A (April / / May y 2021) • Research Applications Assessment • Includes economy impact assessments, commercial and partnering opportunities.
Research Evaluation Factor Set ATTRACTIVENESS ACHIEVABILITY …early 2020s onwards 1. Learn 1. rning Obje jectiv ives Cla lari rity 1. 1. Comple lexit ity (In (Inherent Ris isk Management) 2. 2. Strategic ic Ali lignment & Contrib ibutio ion 2. 2. Governance & Accountabili lity 3. Benefi 3. fits Analy lysis is & Cert rtain inty (I (Inclu ludin ing 3. 3. Part rtner Management Dis is-Benefit its) 4. 4. Resources Competence & Capacit ity 4. Constrain 4. ints Analy lysis is & Cert rtain inty 5. 5. Cla lari rity & Perceptio ion (C (Communic icatio ions 5. 5. Scala labil ilit ity & Fle lexib ibil ilit ity of f Proje ject Strategy) 6. Provid 6. iders & Part rtners 6. 6. Alt lternativ ives Cert rtain inty 7. 7. Stakehold lder Support & Sponsorship ip 7. 7. Future Affordabil ilit ity & Transferabil ilit ity 8. Consis 8. istency & Coherence
The Project Team Gil iles Perkin ins, Hannah Bartram WSP, ADEPT
ADEPT Liv ive Labs Project Team WSP ADEPT Giles Perkins Hannah Bartram ADEPT COO Project Director O2 Atkins Kier Lucia Gutierrez Bella Slawin Owen Smith Innovation Communications Programme Lead Management Lead Management Lead Eurovia WSP O2 Lukas Kvedas Ayo Jerola Kudzai Chunga Programme Communications Innovation Management Support Support Management Support
A Smarter Suffolk Mark Stevens Suffolk lk Hig ighways
A social infrastructure asset… 1 2 3
Power Roads Jade Jones Central l Bedfordshire Council il
Keeping West Mid idlands Movin ing Deborah Fox Transport for West Mid idla lands
Constituent Authorities and In Investment Programme
Network Resilience Live Lab Our Live Lab is contributing to developing the operational capability of the Regional Transport Coordination Centre (RTCC) and its evolution through innovation. If the pilot is successful, the anticipated long-term benefits will be: - better car journeys - improved health - personalised travel planning through learned patterns of travel behaviour. Contact: Deborah.fox@tfwm.org.uk
Network resilience evolution through innovation… Fixed asset operations Data and testing Granular personas Learning and feedback loops …growing our capability from monitoring the network to machine learning and helping people to Plan Ahead and Keep Moving
Transport Systems Liv iving Liv ive Lab Louis ise Cla layton Staffordshire
The Staffs Live-Lab will b be incubating SMEs in response to challenges around two emerging issues: How can we use future in interconnected ‘Mobility 1 Hubs’ to solve rural l transport problems? How can we create sustainable clean air ir zones from 2 existing AQMAs?
How can we use future in interconnected ‘Mobility 1 Hubs’ to solve rural l transport is issues? Proposed Location Mobili lity Hub PROPOSED HOUSI SING Feasibil ilit ity Study DEVELOPMENT DE Challe llenge-based In Incubator & tria ialli lling DEMAND RESPONSIVE TR TRANSPORT SUSTAINABLE AND SHARED TRANSPORT TR KEELE UNIVERSITY TRANSPORT PLA TR LANNING
How can we create sustain inable le cle lean air ir zones from 2 exis istin ing AQMAs? Proposed Location Pre Pre-deployment of f pervasive Air ir Quality BURTON ON BU ON TR TRENT monitoring network SC SCHOOL AQMA Challe llenge-based CELLARHEAD In Incubator & tria ialli lling CLEAN AIR SCRUBBING AND ABATEMENT INTERSECTION AQMA INT IT ITS AND CONGESTION MANAGEMENT NEWCASTLE BEHAVIOURAL CHANGE AND MODAL UNDER LYM YME SHIFT TOWNSHIP AQMA
Creating a SMART Connected Community in Aylesbury ry Garden Town, B Bucks Luciano Lopes Buckin inghamshir ire
iD iDAPS - il illu lumin inated data access poin ints • Composite Materials – increased operational hours & passively safe. • 3D Printed adornments will allow bespoke elements to be included in the build. • 3D Printed illuminated bollards.
Central l Management System • Real time data management and commercialisation through our CMS system. • Greater Control of Highways Asset and additional data types such as air quality, noise and temperature. • Enhanced Social Inclusion and Safeguarding for vulnerable adults.
Energy Generatio ion and Storage • Solar & Wind – Traditional, non-traditional and the avant-garde. • Kinetic Energy Generation from roads creating forms of revenue from our assets. • Energy Storage – Storing energy generated to power street furniture.
Sustain inable le and Eco frie iendly ly Travel, l, but who pays for the la last mil ile? • CAV Study - How to create a blueprint for suburban areas. • Docked E-Bikes. Connecting the last mile.
Developing the use of pla lastic roads on the lo local network Peter Cla lay Cumbria
What is the aim of the Live Labs Project? • Is using plastic in roads affordable and environmentally sustainable? • Does plastic in roads improve the life cycle and quality of the roads?
How will the project do this? • Compile and review existing information from all Local Authorities and laboratories • Continue surfacing trials looking at construction design changes • Investigate the business case of local authority circular economy of waste to roads.
Partners
Highway Asset Data-led Management System (HADMS) Carol l Vale lentin ine Kent County Council il
Integration of existing data sources Asset Management Works Vehicle Data Management Sensors Imagery Drones Trailing of cutting edge SMEs
3-phase delivery 0 0 1 1 9 9 9 0 0 0 0 0 0 1 1 1 9 0 2 0 0 1 2 1 1 2 2 2 1 1 1 2 2 2 0 2 2 2 2 2 2 2 1 2 2 - 2 - - - y 2 - - - y 2 - - - v - - - r - - - - v - - - r - - p c r g p c r g t n b a a n - t n b a a n - c o e p l u c o e p l u e e M M e e M M O a u u O a u u N D A A N D A A S J F J J S J F J J Phase 1 Phase 2 Phase 3 1 In Innovation Disc iscovery ry & P Pla latform 2 Tri rials s and in innovation im implementation Busin Bu iness s Transformation & E Evalu luation 3 Development • Further platform development • Implement business change • Data exploration and establishing • Major innovation workstreams benefits cases • Agile platform refinement • Benefits realisation of quick wins • Platform architecture and prototyping • Establish performance measures • Facilitate business process changes • Market research and supplier • Embed enduring support model engagement • Implementation of ‘Quick Wins’
Progress so far Workstreams fr from Innovatio In ion 73 73 in innovatio ions Categoris ised innovatio in ions identif id ifie ied through: • Phase 1 – no hardware or • Winter significant analytic requirements • Draining • Stakeholder • Phase 2 – Third party Engagement • Lighting technology tr trials – trailing of • Business Process • Network risk third-party solutions, Analysis deliverable within • Works processing • Data Exploration • Phase 3 – development of • Road surface • Supplier Evaluation analytical • Traffic management tools/models/machine • Trees and vegetation learning algorithms, deliverable within • Air quality
Thames Vall lley Living Lab Sim imon Beasle ley Readin ing
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