{
  "docId": "019dd923-5ca1-7489-b638-25f500cd77c2",
  "docSlug": "a69488e8d3c2f90c",
  "documentTitle": "Infrastructure beyond COVID-19",
  "authorId": "LEK",
  "authorName": "L.E.K.",
  "documentKindSlug": "consulting-deck",
  "documentKindLabel": "Consulting deck",
  "sourceTypeSlug": "strategy_consulting",
  "sourceTypeLabel": "Strategy consulting",
  "presentationDate": null,
  "orientation": "landscape",
  "aspectRatio": 1.778,
  "pageNumber": 58,
  "pageCount": 189,
  "prevPage": 57,
  "nextPage": 59,
  "slideType": "industry_trends",
  "function": "analyze_data",
  "density": "dense",
  "nDataPoints": 3,
  "notes": "The chart uses a 7-day rolling average indexed to baseline demand.",
  "elementsJson": [
    "headline_text",
    "line_chart",
    "bullet_list"
  ],
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019dd923-5ca1-7489-b638-25f500cd77c2/58",
  "deckHref": "/decks/019dd923-5ca1-7489-b638-25f500cd77c2",
  "deckJsonHref": "/decks/019dd923-5ca1-7489-b638-25f500cd77c2.json",
  "deckAnchorHref": "/decks/019dd923-5ca1-7489-b638-25f500cd77c2#slide-58",
  "components": [
    {
      "bbox": null,
      "kind": "callout",
      "text": "Although stabilised, public transport use remains at around 60% only, while private vehicle use has recovered to pre-COVID-19 demand levels",
      "attrs": null,
      "subkind": null,
      "toolName": "Visual emphasis",
      "toolSlug": "visual-emphasis",
      "confidence": null,
      "componentId": "019dd951-c7cb-728d-8e6a-46ca149a6c27",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.6,
        "w": 0.6,
        "x": 0.08,
        "y": 0.3
      },
      "kind": "chart",
      "text": "Sydney, indexed average transport demand (January-October 2020)",
      "attrs": null,
      "subkind": "line",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "fd7deb82-504b-4938-b98c-c95c8bc8474c",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.35,
        "w": 0.28,
        "x": 0.69,
        "y": 0.41
      },
      "kind": "list",
      "text": "Following the classification of COVID-19 as a pandemic and the first lockdown, there have been steep declines in all modes of transport, with the most significant decline in public transport. Lower case numbers and eased restrictions resulted in all modes moving into a recovery period. However, the threat of a second wave of COVID-19 in July resulted in a second dip in travel in Sydney before all modes. Although stabilised, public transport use remains at around 60% only, while private vehicle use has recovered to pre-COVID-19 demand levels.",
      "attrs": null,
      "subkind": "bullet",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "40347525-4ee4-40e6-84a6-f2cdee2ee080",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": null,
      "kind": "metric",
      "text": "Indexed average transport demand",
      "attrs": null,
      "subkind": "primary",
      "toolName": "Quantification",
      "toolSlug": "quantification",
      "confidence": null,
      "componentId": "019dd951-c7cb-728d-8e6a-4b7be09b7157",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.02,
        "w": 0.4,
        "x": 0.04,
        "y": 0.96
      },
      "kind": "source-note",
      "text": "Source: Apple Mobility data - https://covid19.apple.com/mobility; L.E.K. research and analysis",
      "attrs": null,
      "subkind": null,
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "e99eb3c5-395d-41ed-bbb7-c28fee0b2f73",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.06,
        "w": 0.85,
        "x": 0.08,
        "y": 0.16
      },
      "kind": "title",
      "text": "The lockdown in March 2020 forced a sharp decline in personal mobility, private vehicle use has recovered however public transport and walking have stabilised",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "c667181e-6a19-4b04-83d2-fd28713a51a0",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [],
  "tools": [
    {
      "name": "Before-After-Bridge",
      "slug": "before-after-bridge",
      "agent": "Storyteller",
      "layer": "slide",
      "matchId": "8eb1cae6-f59e-4547-ac61-3eaed304008d",
      "evidence": "The lockdown in March 2020 forced a sharp decline in personal mobility, private vehicle use has recovered however public transport and walking have stabilised",
      "confidence": 0.7
    },
    {
      "name": "Data Story Arc",
      "slug": "data-story-arc",
      "agent": "Storyteller",
      "layer": "slide",
      "matchId": "8b0c0c5b-e9f7-4d65-8447-18673120a596",
      "evidence": "Following the classification of COVID-19 as a pandemic and the first lockdown, there have been steep declines in all modes of transport, with the most significant decline in public transport.",
      "confidence": 0.7
    }
  ],
  "frameworks": [],
  "arcBeats": [
    {
      "to": 60,
      "from": 37,
      "beatId": "66d2ac88-fdc6-4e90-9945-879e92fd814b",
      "arcName": "Problem-Agitate-Solution",
      "arcSlug": "problem-agitate-solution",
      "beatName": "Evidence & Proof",
      "beatSlug": "consultants-gambit-evidence-proof",
      "evidence": "The document provides data and evidence to support its analysis of the impacts of COVID-19 on infrastructure sectors.",
      "position": 2,
      "confidence": 0.8,
      "parentBeatName": "Evidence",
      "parentBeatSlug": "evidence"
    }
  ],
  "loops": [
    {
      "to": 60,
      "from": 37,
      "name": "Golden Circle",
      "slug": "11-golden-circle",
      "bestFor": "Visionary leadership, brand positioning, mission statements",
      "matchId": "26264889-9021-4bbe-b85f-78e9a2c31818",
      "evidence": "The document applies the Golden Circle framework to analyze the impacts of COVID-19 on infrastructure sectors.",
      "position": 1,
      "objective": "To understand the implications of the pandemic for infrastructure sectors",
      "structure": "The Why (Belief) -> The How (Process) -> The What (Result)",
      "confidence": 0.7,
      "description": "Invert the typical pitch by starting with why you exist, rather than what you do"
    }
  ],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}