This page outlines how centralised benefits data for quantitative benefits measures in the Land Transport Benefits Framework is being gathered and shared, and how it can be used in planning, decision-making and monitoring.
Waka Kotahi is developing a centralised data set for the quantitative measures in the benefits framework. All available data is shared through the Benefits Data Tool on StoryMaps.
The Non-monetised benefits manual: qualitative and quantitative measures provides the links to data and explains the details around the data.
All investments proposed for the National Land Transport Programme (NLTP) must be supported by robust evidence, as required by the Business Case Approach (BCA). That evidence may include community experience, observable trends and other contextual information, which can include centralised benefits data.
The data can be fed into the baseline fields in Transport Investment Online (TIO), when entering your investment proposal. These will also inform future benefits realisation reporting.
We gather and share centralised benefits because we want to provide the sector with access to good quality transport data about the benefits in our framework.
While some parts of our sector have the ability (whether because of resources or other factors) to develop and manage data specific to their geographical location, others do not. Providing a centralised data set brings all organisations onto an even playing field when it comes to understanding transport problems and finding data to support the consideration of these problems. It also allows for consistent comparisons across different geographical areas.
When benefits measures are included in business cases, baseline information is required and measures will be monitored for the life of the investment, and even beyond. Centralised data allows for easier access to the baseline number, and means Waka Kotahi can continue to monitor the measure beyond the life of the investment, removing any ongoing reporting burden from our co-investors.
The Benefits Data Tool on StoryMaps allows for spatial representation of data, alongside the ability to share data itself, where possible.
Spatially represented data gives users the ability to understand the data visually and makes it easier to identify transport problems and opportunities across regions or areas. The data behind the spatial representations allows for data wrangling and more complex modelling to be undertaken. Further details about the types of data available are provided in the Non-monetised benefits manual: qualitative and quantitative measures.
The Benefits Data Tool is available online with password access. You can request access by e-mailing email@example.com.
Waka Kotahi is committed to continuing to develop the number of benefit measures with centralised data. Please contact firstname.lastname@example.org with any suggested data sources.