Councillor Keith Price

 

Keith grew up in Gisborne, and has lived in Wairoa and Wellington, however, Napier is where he has spent much of his life. As a fifth Term Napier City Councillor, he can confidently say that the prosperity of this community has been a priority for him. Many people in the community know him through his 28 year career as a Detective Sergeant in the NZ police, his years of commitment to sport through both rugby and basketball, as well as his operation of a successful Ahuriri hospitality business. During his time with Council, and as the Chair of Council’s Infrastructure and Strategy Committee, he has championed significant projects for the community with a focus on revitalising Napier city. He led the Marine Parade design and development, pathway extensions, city vision and moving of the weigh bridge. He has also worked hard to advocate for residents on issues like freedom camping, water improvements and the reinstatement of the War Memorial.

30-year Infrastructure Strategy. Ross Copland, Chief Executive, New Zealand Infrastructure Commission

 

Our way of life relies on the things we’ve built.
The roads, the pipes, the powerlines.
The schools, the hospitals, the train stations.
This is the infrastructure we depend on to get to where we want to go, and have places where we want to live, learn and work.
Te Waihanga wants to hear your ideas on what should be in the 30-year Infrastructure Strategy, so together, we can make New Zealand a place that we, and future generations, can thrive.

Ross Copland has a background in the design, procurement, financing, and delivery of infrastructure as an engineer, an asset manager and a Chief Executive. He has worked in commercial construction and property on both sides of the Tasman, finishing up as National Operations Manager for Westfield in 2013.  He returned to New Zealand to pursue a career developing tourism infrastructure. Ross holds a Bachelor of Civil Engineering with First Class Honours, a Bachelor of Commerce and an MBA.

 

From Taxes to Tolls. Stephen Selwood

Transport pricing — ensuring the price of transport infrastructure promotes efficient use of the network. Stephen will draw on lessons learned in the UK, Sweden and the US and look at how road pricing might be introduced in New Zealand and its potential to transform network efficiency.

Stephen is a professional company director and an expert in infrastructure vision, strategy and public policy.

He currently serves as a member of the board of the New Zealand Infrastructure Commission – Te Waihanga, a director of Selwood Infrastructure providing strategy advice to the infrastructure sector and is managing director of Rapt Ltd an online and bricks and mortar retail gift, decor and fashion business based in Auckland.
In his former role as founding Chief Executive of Infrastructure New Zealand Stephen has a proven record of leading and influencing policy at the highest level from Ministers in Government to industry leaders. This includes galvanising support from disparate public and private sector parties into a common vision centred on national benefit.
Stephen describes himself as a thought leader and change agent and brings deep understanding of integrated urban development and infrastructure planning, funding and delivery.

How do you prioritise work on bridges? Kyle Blyth, WSP

 

New Zealand has an aging infrastructure network with many iconic and heavily used bridges. It is commonly assumed by Asset Owners that, at the end of their original design life, bridges are in immediate need of replacement. WSP Opus have developed systems with our clients and industry partners to determine the true remaining structural capacity for current and future loads. By managing corrosion, carrying out detailed condition inspections and structural assessments, we can provide a full health-check of the asset. However, the main question that needs to be answered before assessing the state of an asset owner’s bridge stock is – where to start?

This presentation will outline an answer to this question in the form of a Bridge Risk Prioritisation Tool. The tool uses a scoring system based on a core set of characteristics that are common to all bridges, and another set which is variable.

Kyle is a Bridge Engineer located in Napier, New Zealand, with a Bachelor and master’s in civil engineering. Kyle has developed his astute civil engineering skills since working in the profession. Initially working as a contractor in the UK for 2 years, he expanded his engineering skills to include those of bridge strengthening design and now has 5 years of experience.
Since moving to New Zealand, Kyle has tailored and enhanced these skills primarily in bridge strengthening designs and structural asset management.

Viewing the State Highway through a customer-tinted lens. Philip van der Wel, Lonrix

 

The NZ Transport Agency manages the maintenance and renewal of the State Highway Network from a road safety, asset management and value for money perspective.  But how well is the Network being managed from a customer point-of-view? This question led the Agency to work with Lonrix Ltd in developing a custom ranking algorithm where the Network was analysed with an emphasis on customer perception, the results for which were to be displayed geo-spatially. In the analysis, road condition and maintenance data was used to approximate the customer experience via three categories: Customer Safety (skid resistance, texture, and rutting), Customer Comfort (roughness), and Customer Inconvenience (maintenance). The presentation will focus on the mechanics behind the algorithm; ranking, mapping, and surrounding functionality; and where to from here…

Philip started his civil engineering career working in the contracting environment, where he was involved in PSMC and NOC contracts. During this time he also studied towards and completed his Diploma in Civil Engineering. Since 2015 he has worked for Lonrix Limited, where he manages projects and customer support for the JunoViewer Asset Management framework. Philip is experienced in data analysis and works with many engineering clients in New Zealand and overseas to design and create software features and developments, some of which are specifically tailored for the NOC contract domain.

Bringing inspections into the 21st century. William Silcock, Fulton Hogan

A.I. makes road condition inspections objective, repeatable and safe. How should powerful A.I. defect data be used to unlock its full potential?

Defect inspections are an essential part of managing a road network. Data from inspections drives short and long term programming, network road safety outcomes and modelling asset deterioration. Inspection data that is incomplete, inconsistent or inaccurate is detrimental to the accuracy of our programming and modelling, ultimately resulting in suboptimal levels of service and additional cost.

Historically, many soft skill initiatives such as inspector training and developing maintenance intervention guidelines have been put in place to manage quality of collected data. Fulton Hogan has now developed a suite of tools to collect defect and condition information utilising A.I. This suite of tools labelled Automated Road Inspections, or ARI for short, provides a step change in the ability to routinely generate high quality condition data across a full network with minimal risk to the inspector.

This presentation explores Fulton Hogan’s journey to automate the capture of inspection information. This leads us from inception to our current position of identifying, quantifying and severity rating individual defects.

Our key challenge now is how to maximise utilisation of the powerful datasets produced by ARI? This presentation will discuss the next steps to leverage the data produced by ARI to improve how we manage our networks.

Willy Silcock is an Asset Engineer within the Engineering Solutions Team at Fulton Hogan. Willy’s extensive road maintenance and asset management knowledge has been developed through the Fulton Hogan Graduate Programme, then serving as Contract Manager for the Banks Peninsula Maintenance Contract and as a National RAMM Resource. Willy leverages his operational and technical knowledge to support the Fulton Hogan business through his current role, National Contract Delivery Engineer. Developing innovative and practical solutions to common maintenance problems is central to Willy’s role.

Telling the story: Supplementing pavement deterioration modelling. Kevin Wu, WSP

 

The pavement deterioration modelling space has been explored for over 20 years now, and there are still advancements being made in the modelling space. The growth of the technical capital in this space has increased dramatically in recent years due to advancements in data and technology.
However, how can we ensure that all the useful output from our various models are being utilised to deliver a comprehensive understanding of the big picture?
In recent years, the primary challenge has not been getting the results – it has been ensuring that these results are understood and are being addressed appropriately. It has been about “telling the story”.
This presentation will briefly touch upon the deterioration modelling process but focus on covering a variety of strategies that we have employed for the NLTP 2021-2024 plan to provide confidence in the modelled outcomes. These methods include simply extending the timeframe of modelled outcomes from the typical 20 years to 30 years, but also more complex risk models to include multiple different sensitivity analyses.

Kevin is an Asset Management Engineer at WSP, coming from an University of Auckland Engineering Science background. He has worked a civil engineering consultancy specialising in land development before joining WSP in the Transport Asset Management field. He has gained experience in Forward Works Programming, dTIMS Modelling, Statistical Models, and Asset Valuation over the past three years.

IDS Model Updates. Gemma Mathieson, WSP/IDS

 

Robust NZ models were established in 2008, based on 7 years of LTPP data. Demand on our network has dramatically changed over the past 10 years. As part of the 2021 NLTP project, the IDS rutting models have been updated using the latest LTPP data.
The probabilistic accelerated rutting model and linear rut progression models were investigated and updated. New variables and model forms were explored as well as recalibration of the existing formats. The best performing models were chosen for testing on network data. The final models showed a considerable improvement on their predecessors and were coded into the NLTP dTIMS template. These models will be released nationally in the IDS NZ dTIMS template.
The probabilistic crack initiation model for chipseal was also investigated during this project. Ultimately it was decided not to make changes to this model while the country transitions from visual to laser data collection.
Key findings from this projects include:

  • Data is an asset and should be maintained as such.
  • Simplicity is key.
  • SNP is stubborn.

Gemma is the IDS Technical Manager and a Senior Asset Information Engineer at WSP. Gemma is highly regarded for her skills in Asset Management, Project Management, Quality Management, RAMM Management, data analysis and analytics, and dTIMS expertise. With a Bachelor of Engineering in Engineering Science and Masters in Transportation, Gemma has the skills to implement efficient methods to quickly and effectively process, analyse and manage datasets and provide reporting outcomes.

Treatment prediction using machine learning techniques. Sean Rainsford, Fulton Hogan

 

This presentation will describe efforts to utilise machine learning techniques, coupled with high speed condition and key asset data to construct a prediction model for future treatments. The approach adopted for this study utilized a list of completed treatments coupled with high speed data, surfacing records and maintenance records collected in the period leading up to the year in which the treatments were placed. The observed treatments (comprising of Seals, Asphalt or OGPA overlays and Rehabilitations) were used as a labelling set for the machine learning algorithm and several machine learning algorithms were trained to utilize available data to predict the probability of upcoming treatments in the next year. Several machine learning techniques are being explored, such as Nearest Neighbour (kNN), Decision Tree and Naïve Bayes models. At this stage of development, the Gradient Boosting algorithm and the Adaptive Boosting (ADAboost) model is providing the most promising results. The overall data set was split into a training set and a test set, with the test set being used solely as an out-of-sample set to evaluate the model accuracy. This work seems promising in terms of its ability to identify likely locations on the network where treatments will be needed in the near future, and similarly, to screen out segments where treatments will not be needed. The work is being carried out in conjunction with Lonrix Ltd, and the final model will be incorporated in the JunoViewer framework. It is hoped that the implemented models will be useful as a screening tool to prioritise field inspections, and also as an additional validation mechanism for deterioration model outputs.

Sean Rainsford works for Fulton Hogan as the Technical Asset Manager within the National Asset Management support team. Sean has been involved with data and pavement modelling for over 15 years, Sean was a part of the implementation of the dTIMS software into NZ. Sean’s passion is data and applicability to the real world. After driving many of the roads of New Zealand for over 20 years, and seeing the results of many forecasting outcomes, Sean has learnt that data is always the key!

Finding the value of materials testing, a field study. David Alexander, Road Science

 

The civil construction industry in New Zealand is serviced by a large number of laboratories carrying out testing for materials used. The results these laboratories produce are often compared to a specification that gives site engineers the satisfaction they need to ensure that they will stand the test of time.
This presentation will examine how this laboratory based information can be matched up with measurements taken from the field, and used to determine the lifespan of materials as they degrade. The methodology discussed will expose the end of life failure mechanism for asphalt surfacing, and how this mechanism can be quantified in the field. Field trials took place in the upper North Island where sites were reviewed after ten years in service.
The findings from these trials allow for the calculation of surface course life with unprecedented accuracy. Development of a tool that predicts the amount of time a surface course is expected to deliver a specific level of service is currently under development.

David is the Road Science R&D Projects Manager. His unique approach and insight has enabled Road Science developments to greatly accelerate. His current portfolio spans from materials development to IT solutions. Through his insights, David has established himself within Road Science as the first port of call for design life, asset whole of life cost, weather forecasting, and commercial feasibility. David’s new ideas are paving the way forward, delivering innovative solutions to age old problems