Monitoring & Evaluation ADEPT Autumn Conference Monitoring and - - PowerPoint PPT Presentation

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Monitoring & Evaluation ADEPT Autumn Conference

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Monitoring and Evalu luation

Karen Farquharson

Provin ing Servic ices

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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

• pportunities derived from the research.

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…early 2020s onwards

Monitoring Schedule

• Research Project In

Initiation (December 2019 /

/ Ja January ry 2020)

• 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

(November / / Dec ecember 20 2020 20)

• 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.

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…early 2020s onwards

Research Evaluation Factor Set

ATTRACTIVENESS 1.

• 1. Learn

rning Obje jectiv ives Cla lari rity 2.

• 2. Strategic

ic Ali lignment & Contrib ibutio ion 3.

• 3. Benefi

fits Analy lysis is & Cert rtain inty (I (Inclu ludin ing Dis is-Benefit its) 4.

• 4. Constrain

ints Analy lysis is & Cert rtain inty 5.

• 5. Scala

labil ilit ity & Fle lexib ibil ilit ity of f Proje ject 6.

• 6. Provid

iders & Part rtners 7.

• 7. Stakehold

lder Support & Sponsorship ip 8.

• 8. Consis

istency & Coherence ACHIEVABILITY 1. 1. Comple lexit ity (In (Inherent Ris isk Management) 2. 2. Governance & Accountabili lity 3. 3. Part rtner Management 4. 4. Resources Competence & Capacit ity 5. 5. Cla lari rity & Perceptio ion (C (Communic icatio ions Strategy) 6. 6. Alt lternativ ives Cert rtain inty 7. 7. Future Affordabil ilit ity & Transferabil ilit ity

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The Project Team

Gil iles Perkin ins, Hannah Bartram

WSP, ADEPT

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ADEPT Liv ive Labs

Project Team

O2

Lucia Gutierrez

Programme Management Lead

Eurovia

Lukas Kvedas

Programme Management Support Atkins

Bella Slawin

Communications Lead

O2

Kudzai Chunga

Communications Support Kier

Owen Smith

Innovation Management Lead

WSP

Ayo Jerola

Innovation Management Support WSP

Giles Perkins

Project Director

ADEPT

Hannah Bartram

ADEPT COO

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A Smarter Suffolk

Mark Stevens

Suffolk lk Hig ighways

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A social infrastructure asset…

1 2 3

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Power Roads

Jade Jones

Central l Bedfordshire Council il

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Keeping West Mid idlands Movin ing

Deborah Fox

Transport for West Mid idla lands

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Constituent Authorities and In Investment Programme

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Our Live Lab is contributing to developing the

• perational 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
• f travel behaviour.

Contact: Deborah.fox@tfwm.org.uk

Network Resilience Live Lab

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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

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Transport Systems Liv iving Liv ive Lab

Louis ise Cla layton

Staffordshire

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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 Hubs’ to solve rural l transport problems?

1 2

How can we create sustainable clean air ir zones from existing AQMAs?

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KEELE UNIVERSITY PROPOSED HOUSI SING DE DEVELOPMENT

SUSTAINABLE AND SHARED TR TRANSPORT DEMAND RESPONSIVE TR TRANSPORT TR TRANSPORT PLA LANNING

Proposed Location 1 How can we use future in interconnected ‘Mobility Hubs’ to solve rural l transport is issues? Mobili lity Hub Feasibil ilit ity Study Challe llenge-based In Incubator & tria ialli lling

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Proposed Location 2 How can we create sustain inable le cle lean air ir zones from exis istin ing AQMAs?

Pre Pre-deployment of f pervasive Air ir Quality monitoring network

Challe llenge-based In Incubator & tria ialli lling

SC SCHOOL AQMA INT INTERSECTION AQMA

BU BURTON ON ON TR TRENT

CELLARHEAD

NEWCASTLE UNDER LYM YME

TOWNSHIP AQMA

IT ITS AND CONGESTION MANAGEMENT CLEAN AIR SCRUBBING AND ABATEMENT BEHAVIOURAL CHANGE AND MODAL SHIFT

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Creating a SMART Connected Community in Aylesbury ry Garden Town, B Bucks

Luciano Lopes

Buckin inghamshir ire

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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.

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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.

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Energy Generatio ion and Storage

• Solar & Wind – Traditional, non-traditional and the avant-garde.
• Kinetic Energy Generation from roads creating forms of revenue from
• ur assets.
• Energy Storage – Storing energy generated to power street furniture.

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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.

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Developing the use of pla lastic roads on the lo local network

Peter Cla lay

Cumbria

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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?

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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.

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Partners

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Highway Asset Data-led Management System (HADMS)

Carol l Vale lentin ine

Kent County Council il

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Integration of existing data sources Trailing of cutting edge SMEs

Sensors Imagery Drones Works

Management

Asset

Management

Vehicle Data

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3-phase delivery

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Phase 1 Phase 2 Phase 3

Tri rials s and in innovation im implementation

• Further platform development
• Major innovation workstreams
• Benefits realisation of quick wins
• Facilitate business process changes

In Innovation Disc iscovery ry & P Pla latform Development

• Data exploration and establishing

benefits cases

• Platform architecture and prototyping
• Market research and supplier

engagement

• Implementation of ‘Quick Wins’

Bu Busin iness s Transformation & E Evalu luation

• Implement business change
• Agile platform refinement
• Establish performance measures
• Embed enduring support model

1 2 3

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Progress so far 73 73 in

innovatio ions id identif ifie ied through: Workstreams fr from in innovatio ions

• Winter
• Draining
• Lighting
• Network risk
• Works processing
• Road surface
• Traffic management
• Trees and vegetation
• Air quality
• Stakeholder

Engagement

• Business Process

Analysis

• Data Exploration
• Supplier Evaluation

In Innovatio ion Categoris ised

• Phase 1 – no hardware or

significant analytic requirements

• Phase 2 – Third party

technology tr trials – trailing of third-party solutions, deliverable within

• Phase 3 – development of

analytical tools/models/machine learning algorithms, deliverable within

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Thames Vall lley Living Lab

Sim imon Beasle ley

Readin ing

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