This benefit is about reducing the risk of communities not being able to access social and economic opportunities due to unexpected outages. This may be achieved through having more options in the system (or redundancies) or the reduction of vulnerabilities.
The impacts may be related to the network, corridors, or stretches of roads and other physical infrastructure, but also may be related to readiness or alternative methods of ensuring that the economic and social needs of affected communities are met during recovery periods. In this setting, vulnerability may include the design of infrastructure and the way it may fail, as well as the ease of recovery from any failures. It also includes the consideration of avoidance of exposure to natural hazards and failure.
This benefit has a shorter-term focus than 10.4 Impact on community cohesion, which considers the longer-term impacts of severance or difficulty accessing social and economic opportunities.
10.4 Impact on community cohesion
System resilience is likely to be seen in regional and provincial New Zealand investments, and be a co-benefit in urban areas to support redundancies for choice of mode, destination and route.
Risk reduction benefits of natural/environmental or human-made risks is currently a qualitative measure in the framework, and the most relevant quantitative measures proposed for this area are the proportion of the most important routes with a viable alternative, and kilometres of transport network at risk from predicted sea-level rise.
The people impacted by this benefit are users of the land transport system, including businesses and tourists that rely on the network, or sections of it, to transport goods or people.
4.1.1 Availability of a viable alternative to high-risk and high-impact route#
4.1.2 Level of service and risk*
Measures marked # are quantitative and those marked * are qualitative.
For more information about these measures see Non-monetised benefits manual: qualitative and quantitative measures.
Non-monetised benefits manual: qualitative and quantitative measures
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