Question TWIN 02

TWIN-02 Which demanding exercises will show how the network serves people through combined, prolonged failures?

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Why this matters

Practising the interaction of storms, fire, power loss, unavailable staff, ferry disruption and depleted supplies can reveal the improvements that matter most.

What to bring back

Build a dated exercise set with starting conditions, timed events, resource assumptions, roles, expected service, observations and pause points. Prioritise common local hazards and include longer-duration dependency failures. Record wider horizon scenarios as assumptions for learning, with the service requirements from OPS-01 kept central.

What we know so far

• comprehensive rebuild plan — reviewed source; public copy can be added through the evidence process
• supporting research — reviewed source; public copy can be added through the evidence process
• Straddie_Disaster_Kiosk_Pitch.pdf
• Web3_Sensorium_for_Science_Debate.pdf (pp.19-22)
• Professional review and comparison of proposed improvements (When this work overlaps professional or public-authority responsibilities, compare the proposal and Luke's research with applicable industry/global best practice and relevant legal-engine sources. Record differences, reasonable improvements and deficiencies, with the responsible reviewer and response. Routine authorised drafting and wiki work can advance.)
• Council plan crosswalk and proposed Aura integration (Relevant question row identifies the management/recovery source section and printed/PDF page. AI-generated analysis, 21 October 2026; proposed checks and actual review/operating agreements retain separate status.)

AI-generated potential answers

For discussion and review · research checked 2026-10-20. These are AI-generated options and transfer assessments. The user's request and research method identify the source of this work. The source catalogue states what the references establish. The decision and approval record retains its own status.

Build a 2–3-day practical exercise with people and equipment, walking through interruptions to power, communications, ferries, supplies and available staff. Begin with storms, cyclones and fire. Digital twins can simulate any chosen length of disruption; record simulated time separately from actual computer runtime. Clearly identify practice events and record simulation, bench measurements and field demonstrations as distinct evidence.

A timed tabletop and connected-device exercise

AI-generated adaptation of an existing pattern. Use a common exercise identifier, dated source pack and explicit practice notices. Rehearse service retained at each step before introducing field equipment, comparing a simple timeline with the proposed digital model.

Research basis: Common Alerting Protocol Version 1.2 · NSW Spatial Services: mapping and the Emergency Management Digital Twin.

A shared XR rehearsal with optional AI/SI roles

AI-generated future concept. Explore a shared scenario where people and Auras practise handovers and compare changing resource choices. Keep advanced-agent performance and simulated robot tasks as measured exercise assumptions, with readable participation available outside XR.

Research basis: Our Changing City: Wellington's public climate-adaptation digital installation · NIST AI Risk Management Framework 1.0: core functions.

Examples and local differences

• Common Alerting Protocol Version 1.2: AI transfer assessment: Warning-message formats explicitly distinguish an exercise from actual public instructions. Local difference to check: The island exercise must additionally isolate its publishing destinations, explain fictional resources and preserve real emergency contact routes.

Evidence to bring back next

• Agree starting conditions and measures with participating service and technical reviewers.
• Run lost staff cover, ferry suspension, limited charging and a failed hub in different sequences; compare retained service and handovers.

People and connected choices

Who reviews: Proposed exercise director and service assurance lead (unconfirmed)

Connected questions: OPS-01, TWIN-01

Work state: open. Assigned person or AI assistant: Ready to be assigned.

Research and alternatives can move ahead while connected decisions develop. Before acting on a choice, check the people, evidence and approved scope in People decide.