dTIMS in Western Australia Paul O’Docherty – Senior Asset Management Consultant, Talis

Agenda Introduction to Talis – What we do and who we are History of dTIMS in Western Australia Why we need dTIMS in Australia Talis’ Hosted Bureau Service for WA Local Government Case study Where to from here Summary

Talis Small specialist consultancy based in Perth Western Australia New company – 4 years old 4 years ago employees were 4 directors, now 22 staff Extensive experience and knowledge of Western Australia Local Government – Political, Technical, Financial and Operational

Talis Services Specialist services include Asset Management Spatial Intelligence Waste Management Environmental Civil Design

Asset Owners in WA Main Roads Western Australia Local Government dPAW – Largest network in WA (mostly unsealed tracks) Watercorp Rail Mining Oil and Gas Grain – CBH Defence

History of dTIMS in Western Australia MRWA user since ???? Deployed as part of Roman II in 2011 for generating optimised Forward Works Programmes for LG Hosted dTIMS v8 Enterprise delivered via Citrix WALGA gave limited support and training – focused on Asset Inventory system Recorded usage was low through hosted system Some consultants using their own licences so their usage was not recorded

History of dTIMS in Western Australia 2015 WALGA decided to discontinue support for dTIMS through Roman II Consultants could still offer modelling services through WALGA panel Talis decided to work with Deighton setup a hosted system for WA Local Government System is now live!

Need for long term Asset Management planning in Australia

Some facts and figures In 2013–14, 9.6 per cent of Australia’s GDP was accounted for by Australian infrastructure industries In 2013–14, almost 50 per cent of infrastructure construction was in the transport sector, $25 billion was spent on roads Australia’s total road length was 872 849 kilometres in 2013 In 2012–13, there were 203.6 billion tonne kilometres of freight moved by road 176 billion passenger kilometres were travelled on capital city roads Note - Australia's population 23 million Source: BITRE, Australian Infrastructure Statistics Yearbook 2014,

"Selected year 2006 road traffic data" "Selected year 2006 road traffic data". OECD International Traffic Safety Data and Analysis Group (IRTAD)

Source: BITRE, Australian Infrastructure Statistics Yearbook 2014,

Why is our Infrastructure Important? “Infrastructure is important for Australia because of its size, the geographical dispersion of its population and production centres, and its remoteness from other markets.” – Organisation for Economic Co-operation and Development, September 2015 Source: BITRE, Australian Infrastructure Statistics Yearbook 2014,

Australian Infrastructure Our asset infrastructure base is growing Demand on the assets is increasing Maintenance expenditure has not be kept in line with growth When budgets are constrained often maintenance suffers If we want our infrastructure to return value, we must maintain what we build.

Desired Outcomes from modelling in WA Establish network need Identify operational efficiencies What if analysis?? Better use of constrained budgets – Optimisation FWP Strategic analysis Compliance Understanding!

Software Solution

Asset Deterioration Modelling

Deterioration Modelling Methods Deterministic models HSD Demand, weather, soil type and other factors to calibrate rate of deterioration Probabilistic Models Data with discreet bins – Visual data Calculates probability of being in the next condition state Probability established from historic data Families of like performing assets – Road hierarchy, Urban/Rural , pavement strength, soil type, demand

Probabilistic Models – Markov Chain If more than 1 survey available Group into like performing families Calculate probability of change for family Assign to section Use local knowledge as sanity check Only 1 survey available Use local knowledge to determine rate of change Prob.xlsx

Talis Modelling Process Capturing local knowledge Documenting knowledge Model implementation and run Review and improve Field validation Long term improvements and maintaining the model

Capturing Local Knowledge Workshop with local experts – Technical and operational Capture required outcomes (minimise rutting, smoother network, minimise maintenance $ etc) How do local assets deteriorate Segmentation rules Intervention levels Treatment selection process Alternative treatment scenario criteria Unit rates What are our optimisation parameters – Objective function Budgets to model

Documenting Treatment Selection

Model Review and Improvement How do we get better Implementing added functionality Measuring success and value Sharing success with entire industry – Locally, National, Globally

Analysis of Multiple Strategies Analysing alternatives Unsealed roads – what if we let them deteriorate? Key routes – What will be our long term costs if we raise level of service? Un-Constraining Funding Criteria Cross asset optimisation – What if I take money from road maintenance and put some towards bridges?

WA Asset Management Cycle Data Collection Inventory validation Asset Valuation 10 year FWP Year 1 Inventory updates Revaluation Updated Annual FWP Year 2 Year 3

Regional Road Groups in WA Goldfields RRG Kalgoorlie Coolgardie Menzies Laverton Leonora Dundas Esperance

Example of Regional Road Group Council Unsealed length km Sealed length km Esperance 3,740 855 Kalgoorlie-Boulder 1,030 376 Coolgardie 800 428 Dundas 500 860 Leonora 1,213 363 Menzies 2,144 36 Laverton 4,442 57 Wiluna 1,832 92

What can Modelling offer RRGs? Strategic analysis of region – based on each individual network Strategic analysis of individual LGs Optimise shrinking budgets Understand and communicate outcomes from constrained budgets Effect of capital expansion

Shire of Augusta Margaret River Case Study

Shire of AMR Overview 2014 Talis undertook condition assessment and dTIMS Modelling at Shire of Augusta Margaret River Asset inventory updated Visual condition survey undertaken and uploaded to RAMM dTIMS model implemented 10 year FWP and predicted condition report delivered The outcomes identified issues with the funding model

Margaret River Modelling Project Initial site visit to capture expectations Data collection completed Data updated in asset register (RAMM) Workshop to determine desired outcomes and model parameters Technical staff, operational staff, financial staff from council Business rules established for sectioning, treatment selection and optimisation Added a refined hierarchy system to better categorise roads

Margaret River Modelling Project Model implementation Initial model run Alternate budget scenarios run Desktop sanity check Field validation Model refining and extra scenarios added Outcomes – This is where it gets interesting!

Margaret River Modelling Outcomes The funding model heavily favours rehab projects above resurfacing – Limits potential treatment strategies Budget scenarios were constrained to allow for this Alternate strategies were run with the funding constraint removed – money could be spent reseal or rehab Outcome – Costing approx. 20% more to get comparable result constrained vs unconstrained

Margaret River Modelling Outcomes

PCI – Alternative Funding Scenario ConditionByRoadHeirarchy.xlsx

An Opportunity?? There is potential to get a similar result for network even with reduced funding!! Should be challenging funding methodology? To understand the long term effects of current funding levels Explore and analyse at a regional level to get best value for a wider region? There is always opportunities to be more efficient and make better with limited funds!

Talis Services Offered Bureau Service – Model setup and run, forward work programme proposed sites and treatments, condition prediction from budget scenarios Hosted Option – Includes all services offered in Bureau Service plus client access to dTIMS, support and customised reports. Client owns model setup and IP Enterprise License – Includes all of above options plus install and deploy dTIMS on your IT environment, support and continuous improvement.

Summary

Dale Hughes Paul O’Docherty dale.hughes@talisconsultants.com.au 0418 908 621 Paul O’Docherty paul.odocherty@talisconsultants.com.au 0488 216 206