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Data Owner: Waka Kotahi NZ Transport Agency
Data Owner: Civil Aviation Authority
Note: In flight security incidents involving offences against the Aviation Crimes Act 1972 for aircraft which have been screened by the Aviation Security Service (Avsec) or aerodromes where the Avsec operates; airside incident involving the introduction of dangerous goods into aircraft screened by the Avsec.
Data Owner: Civil Aviation Authority
Data Owner: Maritime NZ
Operators risk profile
Data Owner: Maritime NZ
Note: Maritime Operator Safety System (MOSS) risk profile scores are a mechanism to rate the risk level of a new operator. The risk profile score sets the audit frequency and is updated each time an operator is audited under the MTA and assessed under the HSWA. Higher risk operators are audited more regularly, to encourage and ensure improvements to their safety systems.
Risk is assessed using the risk profile tool across five domains, which include safety culture, compliance history, operating practice, experience and capability, and organisational factors. These domains are further comprised of 20 indicators, which are then rated between 0 (lowest risk) and 4 (highest risk). These scores are weighted and combined to give an overall risk score. Risk scores are categorised into three risk bands: low risk (0-25%), standard risk (25-62.5%) and high risk (62.5-100%). Risk scores determine when the operation’s next audit will be. This can range between one and 24 months from when the Maritime Transport Operator Certificate (MTOC) is issued, and two to 48 months after the initial audit (and periodic audits that follow). The score reported for a given year is based on operations’ most recent risk score, which can be up to three years ago, depending on when their last audit was.
National CDEM performance is determined by the average score across 16 CDEM Groups.
Note: This measure was not assessed in 2015. A maturity index was used to categorise performance as unsatisfactory (0-19%), developing (20-59%), advancing (60-79%) or mature (80-100%)
Data owner: MCDEM
Note: The assessment was last conducted in 2015. A maturity index was used to categorise performance as unsatisfactory (0-19%), developing (20-59%), advancing (60-79%) or mature (80-100%)
Data owner: MCDEM
Note: The assessment was last conducted in 2015. A maturity index was used to categorise performance as unsatisfactory (0-19%) developing (20-59%), advancing (60-79%) or mature (80-100%).
Data Owner: MCDEM
Data Owner: Waka Kotahi NZ Transport Agency
Note: Waka Kotahi. This measure shows the length of key social and economic corridors with viable alternative routes. Key social and economic corridors are routes along the state highway network which, if closed for an extended duration of time, have significant social or economic impacts on communities. Viable alternative routes are those that are suitable for all vehicles (sealed surface, free of one-lane bridges and meet travel time constraints) and approved by their respective road controlling authority as a recognised detour.
Sea level rise exposure of the state highway network is estimated between 0.2% and 4% of the total network nationally (equivalent to 20.98km to 478.81km) across four hazard exposure scenarios. Regions with greatest exposure include the Bay of Plenty, Waikato, Canterbury and Auckland regions.
Note: Permanent inundation with 0.5 m sea level rise and representative of present-day typical storm
Permanent inundation with 1.5m sea level rise
Present day 1:100 year storm extent (excludes runup/overtopping)
Present day 1:100 year storm surge extent (excludes runup/overtopping) with 1.5m sea level rise
Data was taken from number of sources, compiled into the Tonkin & Taylor Coastal Exposure Assessment – Stage 2 Exposure Assessment to Coastal Hazards report. This report provides the results of the national coastal exposure assessment of Waka Kotahi state highway assets at national and regional levels. Exposure was assessed independently against, firstly, four sea level rise scenarios and, secondly, proximity (50 and 100m) from the coastal edge, before assessing against the combination of the two to understand the compounding exposure on the assets analysed. To analyse the state highway assets, lengths were broken into 10 metre segments. These segments were then overlaid on the hazard extents to gain an understanding of hazard exposure.
It is not expected that the input data will change significantly over the short term. However, it is expected that over the medium term (5-10 years) a review of input data baseline for this assessment will be required in order to track changes in hazard exposure of the state highway network or implement re-forecasting based on updated impact of emissions scenarios.
It is currently too early to confirm which scenario Waka Kotahi will use for assessment of its exposure. This will be confirmed and agreed with other central and local government partners including National Institute of Water and Atmospheric Research, Ministry for the Environment, Local Government New Zealand (LGNZ), Department of Conservation, Lifelines etc., so that hazard exposure and forecasting is comparable across government. Currently, LGNZ has undertaken an assessment using the Mean High-Water Springs scenarios presented here, however there are limitations on this methodology of assessment including likelihood/accuracy of hazard exposure due to storm surges.
Data Owner: Waka Kotahi NZ Transport Agency
Preparation for loss of traditional transport options
Note: Proportion of people that report they are prepared for loss of traditional transport options to access social and economic opportunities.
Data Owner: Civil Defence