Auckland 2022-2025 Crash Economic Impact

Comprehensive analysis of crash costs including NZTA social costs (MBCM methodology) and network delay costs (Flow Transportation Specialists). Analysis of 34,628 crashes across Auckland, 2022-2025 (2025 data through October 22).

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Interactive Crash Map

Click any marker to see detailed crash information and cost breakdown. Colors indicate crash severity (red = fatal, orange = serious, yellow = minor).

Cost Analysis & Distribution

Network Delay Cost by Crash Type
Crash Distribution by Category

Crash Trends Over Time

Death & Serious Injury (DSI) Trends

Fatal and serious injury crashes — the focus of road safety interventions

Minor & Non-Injury Crash Trends

Minor injury and non-injury crashes — larger volume, important for network delay costs

Detailed Cost Breakdown

Crash Category Count Unit Cost Range Total Network Delay Social Cost Combined Total
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Methodology & Data Sources

  • Crash Data Source: New Zealand Transport Agency Crash Analysis System (CAS), Auckland region, . Includes all reported crashes: fatal, serious injury, minor injury, and non-injury crashes meeting Police reporting thresholds. Total: crashes analyzed.
  • Social Costs (NZTA MBCM): Primary crash costs calculated using NZTA's official Monetised Benefits and Costs Manual (MBCM v2.7.3). This is the standard methodology used for all transport project evaluation in New Zealand. Includes: medical costs, rehabilitation, property damage, statistical value of life, loss of productivity, legal costs, emergency response, and crash investigation. Values include under-reporting adjustment factors and are updated to 2024 NZD. Applied to all crashes.
  • Network Delay Costs (Flow Methodology): Additional economic costs from crash-induced traffic congestion, quantified using methodology developed by Flow Transportation Specialists (commissioned by Auckland Transport, July 2025). Based on empirical analysis of 4 case study crashes with travel time data collected via TomTom GPS. Applied to crashes on major roads (motorways, arterials) where network disruption is significant.
  • Flow Case Studies: Four serious/fatal crashes analyzed: motorway multi-vehicle, divided arterial, 4-lane arterial, and 2-lane arterial. Travel time impacts measured during disruption and recovery periods. No minor crash case studies were conducted by Flow.
  • Network Delay Valuation: Uses MBCM composite value of time ($37-40/hour) plus congestion increments ($27-28/hour), multiplied by 3.2× unexpected delay factor from NZTA Research Report 670. Min/max ranges reflect methodological uncertainty in how the 3.2× factor is applied.
  • Crash Classification: Network-impacted crashes matched to six categories based on road type, lanes, severity, and vehicle count: Motorway Multi-Vehicle, Divided Arterial Serious, 4-Lane Arterial Serious, 2-Lane Arterial Fatal, Other Serious, and Minor Crash on Major Road*.
  • *Minor Crash Caveat: Flow studied ZERO minor crashes. Minor crash network costs ($5K-$10K) are extrapolated from Flow's hypothesis that minor crashes on major roads "can lead to as much network delay as a serious crash." This is unvalidated.
  • Data Period: represents post-COVID return to normal traffic patterns. Some behavioral changes (remote work) may affect delay magnitudes versus pre-pandemic baselines.
  • Conservative Estimates: Network delay costs exclude: vehicle operating costs, rubbernecking delays, cancelled trips, schedule reliability impacts, wider economic impacts, emergency vehicle delays. True network costs likely 20-40% higher than estimates shown.
  • References: NZTA MBCM v2.7.3. Harrison, P. (2025). Network Disruption Cost of Serious Crashes. Flow Transportation Specialists. NZTA Research Report 670 (Harrison & Walton, 2020). NZTA CAS database.
Total Crashes Analysis
Complete breakdown of all traffic crashes in Auckland
Traditional Social Cost Analysis
NZTA MBCM methodology breakdown of crash costs
Network Delay Cost Analysis
Hidden costs of traffic disruption and congestion
Total Economic Impact Analysis
Combined social costs and network delay impacts