Published: June 2024 | Category: Benefits & economic evaluation , Manuals | Audience: Local & regional government
The Waka Kotahi NZ Transport Agency's Land Transport Benefits Framework measures manual (previously called the Non-monetised benefits manual) provides guidance and instruction on the benefit measures, including definition of each measure and its data sources (where centralised data is available) and, where available, instructions on how to determine baselines and forecasts for the measure (see Tools and resources below).
The manual was renamed for version 2 (June 2023) to better reflect the purpose and content of the manual.
This manual should be read in conjunction with:
For further guidance on how to apply the Land Transport Benefits Framework contact investment.benefits@nzta.govt.nz
| Effective date | Version | Title |
|---|---|---|
| June 2024 | 2.2 | Land Transport Benefits Framework measures manual [PDF, 4 MB] |
The Land Transport Benefits Framework measures manual provides guidance on forecasting of benefits measures. In the sections below you will find methodologies and links to associated forecasting tools.
You should include in your business case documentation about the methodology used.
To provide feedback about these methodologies and tools, email us at investment.benefits@nzta.govt.nz
Deaths and serious injuries (DSI) is a measure to determine a project’s impact on user safety and social cost.
To ensure consistency and assist approved organisations to develop forecasts, we have developed a suite of tools that provide approaches suitable for different types of investments. Which methodology you use will depend on whether safety is the primary outcome, whether the investment is about infrastructure, and whether it is a national or regional intervention.
A full description of the forecast methodology and how to use it is found in the linked document below.
Forecasting methodology for 1.1.3 Deaths and serious injuries [PDF, 193 KB]
Tools
Level of service and risk measures the risk to level of service by unplanned disruption (including earthquakes, storms, volcanos and tsunamis). This measure can be used for any investment that focuses on maintaining or increasing the resilience of the transport network.
A centralised methodology for calculation of risk rating for elements of the network utilises the methodology outlined in the National Resilience Programme Business Case (appendix G).
National Resilience Programme Business Case
A full description of the forecast methodology and how to use it is found in the linked document below.
Forecasting methodology for 4.1.2 Level of service and risk [PDF, 175 KB]
CloseThis forecasting methodology covers:
These three measures are based on the forecasting of travel time and so have been grouped together as the methodologies are similar.
This methodology can be used for generic projects where a quick assessment of travel time benefits is desired that can produce an order of magnitude effect.
A full description of the forecast methodology and how to use it is found in the linked document below.
Forecasting methodology for travel time and travel time delay measures [PDF, 196 KB]
Tools
Forecast and error tool TT&TTD vehicles [XLSX, 566 KB]
Forecast and error tool TT&TTD pedestrians [XLSX, 45 KB]
Close
This forecasting methodology covers:
These measures have been grouped together because they are all inter-related, with the estimation of throughput by weight (5.2.5) providing the foundation for all four measures.
The forecast methodology is in the linked document below.
Forecasting methodology for freight mode share and throughput measures (5.2.2–5.2.5) [PDF, 200 KB]
CloseWe have introduced the Benefits Data Tool in StoryMaps, a new centralised tool for accessing data about investment performance. The benefits StoryMap enables evidence-based decision making to help identify and address the right transport problems and opportunities. It is available online; new users can request access by e-mailing us at investment.benefits@nzta.govt.nz
Watch a video on the benefits StoryMap and the types of data you can access below.
