Quantifying Social Vulnerability: A methodology for ... - EarthByte

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car ownershipsingle parent with dependent childrencouple with dependent childrenliving alonegroup housingcouple aloneFigure 2.11: Indicator 12: Car Ownership. Number of motor vehicles by HouseholdType: the distribution by income of the number of cars owned by the Australianpopulation [53].12% of households do not own a car. Over 42% own a single car, 34% own two cars,9% own three cars and 3% own four or more cars. Transport is important in bothmitigation and recovery processes [14, 29]. However, in times of hazard impacts, a caris another element that is exposed and therefore susceptible to damage.Figure 2.12: Indicator 13: Gender. Gender per percentage of total population: Thedistribution of males and females by age 1996 for the Australian population [53].There are still some situations in Australia whereby women are more disadvantagedcompared to men, for example, women’s incomes are lower overall and the majority ofsingle parents are women [56]. Australian urban centres have people from numerouscultural backgrounds, some that traditionally disempower women. Some researchershave demonstrated that women are more vulnerable to natural hazards, while othershave established that women are better able to come together to support each other andrecover more quickly than males [29, 59, 26].27
Indicator Classification Restriction/AssumptionAge < years As the individual developed refers largely to a householdsituation, it is assumed that most people agedunder 15 live with older peopleIncome $280 as it is assumed anyone below the povertyline cannot ’save a lot’.Car Ownership 3+ cars Those receiving below the poverty line,
Page 1 and 2: G E O S C I E N C E A U S T R A L I
Page 3 and 4: Department of Industry, Tourism and
Page 5 and 6: 3.4.3 Therelativeimportanceofthe15i
Page 7 and 8: AcknowledgmentsWe would like to tha
Page 9 and 10: in order to predict the vulnerabili
Page 11 and 12: BuildingVulnerability Model• Stru
Page 13 and 14: live in, while others relate direct
Page 15 and 16: Objectives of the studyThe research
Page 17 and 18: Chapter 1Indicator SelectionLiterat
Page 19 and 20: Indicators Mexico City San Francisc
Page 21 and 22: 1.2.2 Study 2: Cities ProjectThe Ci
Page 23 and 24: anking the different administrative
Page 25 and 26: Number Indicator References1 Age [6
Page 27 and 28: Chapter 2Risk Perception Questionna
Page 29 and 30: have challenged the psychometric pa
Page 31 and 32: Figure 2.2: Indicator 2: Income. We
Page 33 and 34: Figure 2.6: Indicator 6: English Sk
Page 35: Figure 2.10: Indicator 11: Debt and
Page 39 and 40: Experienced a hazard? Expert Non-Ex
Page 41 and 42: Chapter 3Decision Tree Analysis1. I
Page 43 and 44: Figure 3.1: Eight attributes with b
Page 45 and 46: P 2P 3P 4P 1P 5P 2 P 4P 3 P 5P 1(a)
Page 47 and 48: 38Rule Expression1 Injuries > 3.52
Page 49 and 50: Rule 4• An injury that requires h
Page 51 and 52: • Either owns their house or rent
Page 53 and 54: • Experts did rank ability to rec
Page 55 and 56: Chapter 4Synthetic Estimation1. Ind
Page 57 and 58: available at the SLA level for use
Page 59 and 60: • 4. Synthetic socio-economic dat
Page 61 and 62: Classes Residence Damage Descriptio
Page 63 and 64: increases from 49% (when damage is
Page 65 and 66: 56Figure 4.4: Scenario 2. This scen
Page 71 and 72: Percentage of CD in highly vulnerab
Page 73 and 74: 64Figure 4.11: Percentage of vulner
Page 75 and 76: Chapter 5DiscussionThis report has
Page 77 and 78: 68Figure 5.1: The Community Vulnera
Page 79 and 80: impact (including recovery time) wo
Page 81 and 82: Appendix ARisk Perception Questionn
Page 83 and 84: Person 1005 is a female aged 25, is
Page 85 and 86: Appendix BDecision Tree Methodology
Page 87 and 88:
ule, which progressively refines th
Page 89 and 90:
a subset will contain instances fro
Page 91 and 92:
CharacteristicAgeTotal Individual I
Page 93 and 94:
Appendix DValidationThe decision ru
Page 95 and 96:
Bibliography[1] L. Anderson-Berry.
Page 97 and 98:
[27] W. J. Frawley, G. Piatetsky-Sh
Page 99 and 100:
[54] Australian Bureau of Statistic
Page 101:
tenure, 83transportation, 27vulnera
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