spatial science and social policy: a geographical approach to social vulnerability and hazard...
TRANSCRIPT
Spatial Science and Social Policy:A Geographical Approach to Social Vulnerability
and Hazard Management
AuthorsJoanne Travaglia, PhD
H. RobertsonNick Nicholas
Introduction• Author backgrounds• 2011, what a year! But wait, there’s more…• Human systems and natural events• Disasters and vulnerability• Population ageing and complex change• Spatial science and prevention, remediation and
recovery• Modelling vulnerabilities spatially• Policy implications• Conclusion• Future developments
• Author backgrounds• 2011, what a year! But wait, there’s more…• Human systems and natural events• Disasters and vulnerability• Population ageing and complex change• Spatial science and prevention, remediation and
recovery• Modelling vulnerabilities spatially• Policy implications• Conclusion• Future developments
Author Backgrounds– Patient safety research and practice– Disaster theory and research– Population ageing research– Diversity work and research– Social science – sociology, demography,
social and cultural policy and geography– Spatial science – GIS, cartography etc– Health sciences – medicine, public health,
bioethics, pharmaceutical marketing etc
– Patient safety research and practice– Disaster theory and research– Population ageing research– Diversity work and research– Social science – sociology, demography,
social and cultural policy and geography– Spatial science – GIS, cartography etc– Health sciences – medicine, public health,
bioethics, pharmaceutical marketing etc
(Some) contextual factors affecting thevulnerability of communities
• Global context (macro)– Environment, economy, politics– Differential burden of disease types and rates– Human rights
• Country and states (meso)– Population(s) (demography, illness profiles, social determinants of health)– Education, registration and monitoring of health workforce(s)– Industrial relations, professional bodies– Politics (internal and external), economic, culture and history of health systemsServices, teams and clinicians (micro)– Organisation(s)’ history, location, capabilities and structure(s)– Inter and intra professional relationships– Workloads– CompetenciesCommunities, families and carers (micro)– Involvement, control– Accessibility of information– Types and levels of risk, resilience, resourcesScale, scope and capacity issues
• Global context (macro)– Environment, economy, politics– Differential burden of disease types and rates– Human rights
• Country and states (meso)– Population(s) (demography, illness profiles, social determinants of health)– Education, registration and monitoring of health workforce(s)– Industrial relations, professional bodies– Politics (internal and external), economic, culture and history of health systemsServices, teams and clinicians (micro)– Organisation(s)’ history, location, capabilities and structure(s)– Inter and intra professional relationships– Workloads– CompetenciesCommunities, families and carers (micro)– Involvement, control– Accessibility of information– Types and levels of risk, resilience, resourcesScale, scope and capacity issues
Steady state vulnerabilitiesA study of 195 healthcare workers across NSW identify the following
categories of vulnerable/at risk patients (Travaglia, 2009)
• The elderly (older, very old, oldest old, centenarians and supercentenarians)• Indigenous peoples• Immigrants – especially those with limited local language skills• People with disabilities, especially cognitive impairments• Children and youth• Patients with literacy and communication problems• People from lower SES• Geographically isolated individuals• Socially isolated individuals• The homeless• The frail and malnourished• Patients with co-morbidities and chronic illness• Patients with high acuity and complex system dependence (e.g. dialysis)• Those with liminal (social, physical, geographic) status• Those without an advocate
• The elderly (older, very old, oldest old, centenarians and supercentenarians)• Indigenous peoples• Immigrants – especially those with limited local language skills• People with disabilities, especially cognitive impairments• Children and youth• Patients with literacy and communication problems• People from lower SES• Geographically isolated individuals• Socially isolated individuals• The homeless• The frail and malnourished• Patients with co-morbidities and chronic illness• Patients with high acuity and complex system dependence (e.g. dialysis)• Those with liminal (social, physical, geographic) status• Those without an advocate
Natural and Human Systems• They are not simple, they are complex• They are not separate, they interact• They are not static, they are dynamic• They are not located elsewhere, they are pervasive
and sometimes predictable• Time and location are issues for us, less so for
natural hazards• Knowing what we know, we (should) have an
obligation to respond• If we don’t respond, given all of the above, event
consequences will escalate
• They are not simple, they are complex• They are not separate, they interact• They are not static, they are dynamic• They are not located elsewhere, they are pervasive
and sometimes predictable• Time and location are issues for us, less so for
natural hazards• Knowing what we know, we (should) have an
obligation to respond• If we don’t respond, given all of the above, event
consequences will escalate
Disasters and Extreme Weather EventsNew Zealand, Japan, Thailand, Philippines in 2011 Alone
Source: Sydney Morning Herald 19th November 2011
Brisbane, Australia 2011http://resources2.news.com.au/images/2011/01/12/1225986/044938-brisbane-river-flooding.jpg
Future Issues for the Asia-Pacific Region:Dynamic natural system changes have human system implications
GIS and Hazards
• Greene (2002) identifies a range ofpotential policy applications including:– Identification and planning– Mitigation– Preparedness– Response(s)– Recovery
• Greene (2002) identifies a range ofpotential policy applications including:– Identification and planning– Mitigation– Preparedness– Response(s)– Recovery
Global natural catastrophes 1980 – 2009Number of events with trend
Num
ber
200
400
600
800
1 000
1 200
1980 1982 1984 1986 1988 1990 1992 1994 1996 1998 2000 2002 2004 2006 2008
Climatological events(Extreme temperature,drought, forest fire)
Hydrological events(Flood, mass movement)
Meteorological events(Storm)
Geophysical events(Earthquake, tsunami,volcanic eruption)
© 2010 Munich Re, Geo Risks Research, NatCatSERVICE – As at January 2010
Num
ber
200
400
600
800
1 000
1 200
1980 1982 1984 1986 1988 1990 1992 1994 1996 1998 2000 2002 2004 2006 2008
19
Modelling Vulnerabilities
• Blaikie et al (2010):– Ethnicity– Age (young and old, notional
dependency)– Gender– SES– Disability
• Blaikie et al (2010):– Ethnicity– Age (young and old, notional
dependency)– Gender– SES– Disability
Our Vulnerability Model• Overseas born – ethnicity• Need for assistance - disability• Dependants – age groups (dependency ratio)• Education and occupation• Economic resources (SEIFA index)• Addition of problem locations in Sydney• Z Score – link vulnerability index and problem
locations• KML file for export to Google Earth
• Overseas born – ethnicity• Need for assistance - disability• Dependants – age groups (dependency ratio)• Education and occupation• Economic resources (SEIFA index)• Addition of problem locations in Sydney• Z Score – link vulnerability index and problem
locations• KML file for export to Google Earth
Policy Implications• Spatially informed policy is both scientifically informed
and evidence-based• Spatial science supports rather than excludes social
knowledge and experience• Spatial science and technology can support enhanced
democratic social participation e.g. PPGIS• Spatial science can provide a meta-language for
disaster planning and response• Spatial visualisation improves access to the who and
where questions in local policy outcomes• Digital earth visualisation supports global interactions
e.g. sustainability, ecology, risk management etc
• Spatially informed policy is both scientifically informedand evidence-based
• Spatial science supports rather than excludes socialknowledge and experience
• Spatial science and technology can support enhanceddemocratic social participation e.g. PPGIS
• Spatial science can provide a meta-language fordisaster planning and response
• Spatial visualisation improves access to the who andwhere questions in local policy outcomes
• Digital earth visualisation supports global interactionse.g. sustainability, ecology, risk management etc
Science, Policy and Governance• If the applicable and beneficial science exists, there is an
ethical obligation to utilise it – not to do so is an activefailure of governance
• Governance issues exit but can be accommodated viaexisting or amended policy frameworks (e.g. privacy)
• Failures of appropriate governance can actually (help to)constitute vulnerabilities
• Ethical and legal consequences of governance failurese.g. state actions, departmental actions, professionalactions, individual actions
• Spatial literacy is a requirement for meaningful policyresponses to the issues identified in this session
• If uninformed policy is a passive failure of governance,and deliberately uninformed policy is an active failure ofgovernance
• If the applicable and beneficial science exists, there is anethical obligation to utilise it – not to do so is an activefailure of governance
• Governance issues exit but can be accommodated viaexisting or amended policy frameworks (e.g. privacy)
• Failures of appropriate governance can actually (help to)constitute vulnerabilities
• Ethical and legal consequences of governance failurese.g. state actions, departmental actions, professionalactions, individual actions
• Spatial literacy is a requirement for meaningful policyresponses to the issues identified in this session
• If uninformed policy is a passive failure of governance,and deliberately uninformed policy is an active failure ofgovernance
Conclusion• Events are always context and location specific but this does
not mean they are not influenced by larger systems• Some events have a long ‘tail’ spatially, temporally and
systemically (Haiti – 150 years or more)• No disasters are entirely natural, systemic capacities and
vulnerability status matter too• Social vulnerabilities are also differential, hence policy
responses need to be more than one-size fits all AND/ORideology driven
• Science and technology can support amelioration andremediation
• Planning well in advance is always the better (and feasible)option
• Spatial science and technology are pivotal in linkingresponses across multiple policy and service domains
• Events are always context and location specific but this doesnot mean they are not influenced by larger systems
• Some events have a long ‘tail’ spatially, temporally andsystemically (Haiti – 150 years or more)
• No disasters are entirely natural, systemic capacities andvulnerability status matter too
• Social vulnerabilities are also differential, hence policyresponses need to be more than one-size fits all AND/ORideology driven
• Science and technology can support amelioration andremediation
• Planning well in advance is always the better (and feasible)option
• Spatial science and technology are pivotal in linkingresponses across multiple policy and service domains