Presentation Abstracts
3:30pm presentations
“How NZSAR is using data to reduce harm in the search and rescue sector”
Time: 3:30pm Room: Chancellor 1
Topic: Healthy and safe people Format: Paper
Presented by:
Jeff Lean, Data Analyst and Assurance Coordinator, New Zealand Search and Rescue
I spent 14 years in the Australian Army working in geospatial intelligence and, more recently, three years at MBIE working in oil and gas reporting. I have extensive experience with R programming and an interest in geospatial analysis, optimisation, and data visualisation.
Abstract:
The New Zealand Search and Rescue (NZSAR) community provides search and rescue services throughout the New Zealand region and seeks to reduce the need for those services though a range of prevention strategies. The ability to target those strategies needs reliable data and robust analysis.
The NZSAR sector collects data on incidents, equipment, workforce demographics, and funding for SAR activities. This data is being used by the NZSAR Secretariat to inform analyses of prevention activities, supply and demand for SAR activities, workforce continuity, and future funding.
SARdonyx is a brand new data system that seeks to unify the data collection across all SAR agencies. SARdonyx will eventually act as a single point of truth for all SAR-related data and will be used for a variety of tasks including analysis of historical incident trends and building prevention strategies to minimise harm from future incidents.
Remember! You can vote for this Paper via Sli.do using this Paper’s individual code: C1-330.
Voting closes at 4:30pm on Thursday 5th December and the winner announced during the post conference networking function.
Time: 3:30pm Room: Chancellor 1
Topic: Healthy and safe people Format: Paper
Presented by:
Jeff Lean, Data Analyst and Assurance Coordinator, New Zealand Search and Rescue
I spent 14 years in the Australian Army working in geospatial intelligence and, more recently, three years at MBIE working in oil and gas reporting. I have extensive experience with R programming and an interest in geospatial analysis, optimisation, and data visualisation.
Abstract:
The New Zealand Search and Rescue (NZSAR) community provides search and rescue services throughout the New Zealand region and seeks to reduce the need for those services though a range of prevention strategies. The ability to target those strategies needs reliable data and robust analysis.
The NZSAR sector collects data on incidents, equipment, workforce demographics, and funding for SAR activities. This data is being used by the NZSAR Secretariat to inform analyses of prevention activities, supply and demand for SAR activities, workforce continuity, and future funding.
SARdonyx is a brand new data system that seeks to unify the data collection across all SAR agencies. SARdonyx will eventually act as a single point of truth for all SAR-related data and will be used for a variety of tasks including analysis of historical incident trends and building prevention strategies to minimise harm from future incidents.
Remember! You can vote for this Paper via Sli.do using this Paper’s individual code: C1-330.
Voting closes at 4:30pm on Thursday 5th December and the winner announced during the post conference networking function.
“Behavioural based segmentation of International Visitors - through a transport lens”
Time: 3:30pm Room: Chancellor 2
Topic: Economic prosperity Format: Paper
Presented by:
Carol Christie, Senior Insights Specialist, NZ Transport Agency
Carol is a customer insights developer, specialising in the transport sector. She has worked on a broad range of major infrastructure projects, business cases, behaviour change and modal insights studies at Auckland Transport, research agency side for Transport for London and currently for the New Zealand Transport Agency. She enjoys bringing New Zealanders to the forefront of transport planning, design and marketing, where-ever and however they move.
Abstract:
International tourism is New Zealand’s largest export industry. New Zealand is a ‘fly-drive destination’ which can put pressure on infrastructure, the experience of international travellers and New Zealanders. The International Visitor Foundational Insights Research is creating a transport-based segmentation of MBIE’s International Visitor Survey data. It identified core parameters of mobility level and whether self-driving. Secondary differentiating factors are visit purpose, length of stay and mode. Paymark data enriches these segments with additional behavioral insights and illustrations of tourist flows. Each of the key international tourist segments are being explored through qualitative in-depth interviews. This research provides deep understanding of visitor needs, motivations and behaviour as they experience the land transport system. Insights will contribute to tourist dispersal, improving visitor flow, enhancing journeys, encouraging public transport and active modes, improving safety, retaining liveable communities, attracting the right visitor mix and improving transport connections.
Remember! You can vote for this Paper via Sli.do using this Paper’s individual code: C2-330.
Voting closes at 4:30pm on Thursday 5th December and the winner announced during the post conference networking function.
Time: 3:30pm Room: Chancellor 2
Topic: Economic prosperity Format: Paper
Presented by:
Carol Christie, Senior Insights Specialist, NZ Transport Agency
Carol is a customer insights developer, specialising in the transport sector. She has worked on a broad range of major infrastructure projects, business cases, behaviour change and modal insights studies at Auckland Transport, research agency side for Transport for London and currently for the New Zealand Transport Agency. She enjoys bringing New Zealanders to the forefront of transport planning, design and marketing, where-ever and however they move.
Abstract:
International tourism is New Zealand’s largest export industry. New Zealand is a ‘fly-drive destination’ which can put pressure on infrastructure, the experience of international travellers and New Zealanders. The International Visitor Foundational Insights Research is creating a transport-based segmentation of MBIE’s International Visitor Survey data. It identified core parameters of mobility level and whether self-driving. Secondary differentiating factors are visit purpose, length of stay and mode. Paymark data enriches these segments with additional behavioral insights and illustrations of tourist flows. Each of the key international tourist segments are being explored through qualitative in-depth interviews. This research provides deep understanding of visitor needs, motivations and behaviour as they experience the land transport system. Insights will contribute to tourist dispersal, improving visitor flow, enhancing journeys, encouraging public transport and active modes, improving safety, retaining liveable communities, attracting the right visitor mix and improving transport connections.
Remember! You can vote for this Paper via Sli.do using this Paper’s individual code: C2-330.
Voting closes at 4:30pm on Thursday 5th December and the winner announced during the post conference networking function.
“Asset Management Data Standard – game changer to create a more resilient transport network”
Time: 3:30pm Room: Chancellor 4
Topic: Resilience and security Format: Paper
Presented by:
Myles Lind, Digital Engineering, NZTA
Myles is a chartered engineer with over 20 years managing public infrastructure. He has worked across New Zealand as well as in the United Kingdom. Myles is a member of the Institute of Directors and is the current President of the Institute of Public Works Engineering Australasia in New Zealand.
Abstract:
Our ability to manage risk and resilience of the transport network depends on the quality of data we use for decision-making about our land transport assets.
The Transport Agency is working to bring the practice of asset management into the digital age, revolutionising our ability to collaborate when collecting, exchanging, analysing and using all types of asset management information.
Sharing transport asset data within and between organisations will become easier and means decision makers will be able to access and use confidently all relevant information wherever they are, whenever they want it, whoever has provided it.
The Asset Management Data Standard project will establish ‘common language’ the infrastructure sector can share. It will provide a national suite of specifications for defining and describing land transport assets, their location and performance so that emerging technologies can enable and analyse data that is accurate, complete, accessible and (re)usable.
Non-Presenting Authors:
Stephen Clarke, Principal Advisor: Digital Engineering for Transport, NZTA/REG
Remember! You can vote for this Paper via Sli.do using this Paper’s individual code: C4-330.
Voting closes at 4:30pm on Thursday 5th December and the winner announced during the post conference networking function.
Time: 3:30pm Room: Chancellor 4
Topic: Resilience and security Format: Paper
Presented by:
Myles Lind, Digital Engineering, NZTA
Myles is a chartered engineer with over 20 years managing public infrastructure. He has worked across New Zealand as well as in the United Kingdom. Myles is a member of the Institute of Directors and is the current President of the Institute of Public Works Engineering Australasia in New Zealand.
Abstract:
Our ability to manage risk and resilience of the transport network depends on the quality of data we use for decision-making about our land transport assets.
The Transport Agency is working to bring the practice of asset management into the digital age, revolutionising our ability to collaborate when collecting, exchanging, analysing and using all types of asset management information.
Sharing transport asset data within and between organisations will become easier and means decision makers will be able to access and use confidently all relevant information wherever they are, whenever they want it, whoever has provided it.
The Asset Management Data Standard project will establish ‘common language’ the infrastructure sector can share. It will provide a national suite of specifications for defining and describing land transport assets, their location and performance so that emerging technologies can enable and analyse data that is accurate, complete, accessible and (re)usable.
Non-Presenting Authors:
Stephen Clarke, Principal Advisor: Digital Engineering for Transport, NZTA/REG
Remember! You can vote for this Paper via Sli.do using this Paper’s individual code: C4-330.
Voting closes at 4:30pm on Thursday 5th December and the winner announced during the post conference networking function.
“Transport funding and the myth of the declining revenue stream”
Time: 3:30pm Room: Chancellor 6
Topic: Economic prosperity Format: Paper
Presented by:
Iain McGlinchy, Principal Adviser, Ministry of Transport
Iain has been a Principal Adviser at the New Zealand Ministry of Transport since 2005. He has been in the Ministry’s Demand Management and Revenue team since the start of 2019, but has worked in many areas over his career. He has been responsible for developing policies on a wide range of transport issues including in the areas of environment, electric vehicles, road safety, technology and transport revenue. He is recognised for his knowledge about the New Zealand vehicle fleet and is regularly asked to speak to groups and conferences about the vehicle fleet.
Abstract:
The New Zealand land transport system relies on a predictable and stable stream of revenue to enable it to deliver on its goals of improving wellbeing and liveability. Traditionally revenue used to fund the transport system has come primarily from fuel taxes on petrol and distance-based road user charges (RUC) paid by owners of diesel vehicles. However, changing patterns of fuel efficiency and new transport fuels such as electricity and hydrogen, along with new types of mobility, such as electric bicycles, are affecting revenue streams. This presentation will look at the effects of some of these changes on future revenue projections. In particular it will look at the myth of declining revenue due to improved vehicle fuel efficiency and the rise of electric vehicles.
Remember! You can vote for this Paper via Sli.do using this Paper’s individual code: C6-330.
Voting closes at 4:30pm on Thursday 5th December and the winner announced during the post conference networking function.
Time: 3:30pm Room: Chancellor 6
Topic: Economic prosperity Format: Paper
Presented by:
Iain McGlinchy, Principal Adviser, Ministry of Transport
Iain has been a Principal Adviser at the New Zealand Ministry of Transport since 2005. He has been in the Ministry’s Demand Management and Revenue team since the start of 2019, but has worked in many areas over his career. He has been responsible for developing policies on a wide range of transport issues including in the areas of environment, electric vehicles, road safety, technology and transport revenue. He is recognised for his knowledge about the New Zealand vehicle fleet and is regularly asked to speak to groups and conferences about the vehicle fleet.
Abstract:
The New Zealand land transport system relies on a predictable and stable stream of revenue to enable it to deliver on its goals of improving wellbeing and liveability. Traditionally revenue used to fund the transport system has come primarily from fuel taxes on petrol and distance-based road user charges (RUC) paid by owners of diesel vehicles. However, changing patterns of fuel efficiency and new transport fuels such as electricity and hydrogen, along with new types of mobility, such as electric bicycles, are affecting revenue streams. This presentation will look at the effects of some of these changes on future revenue projections. In particular it will look at the myth of declining revenue due to improved vehicle fuel efficiency and the rise of electric vehicles.
Remember! You can vote for this Paper via Sli.do using this Paper’s individual code: C6-330.
Voting closes at 4:30pm on Thursday 5th December and the winner announced during the post conference networking function.
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Transport Knowledge Conference 2019
Paardekooper and Associates Phone: + 64 4 562 8259 events@paardekooper.nz |