Poisson regression result 1988 1997 for summer only - PowerPoint PPT Presentation

1 / 28
About This Presentation
Title:

Poisson regression result 1988 1997 for summer only

Description:

... HEATING: use of wood and coal decreasing; still important in certain communities; ... Car crash deaths during commuting hours ... – PowerPoint PPT presentation

Number of Views:18
Avg rating:3.0/5.0
Slides: 29
Provided by: rupensh
Category:

less

Transcript and Presenter's Notes

Title: Poisson regression result 1988 1997 for summer only


1
Health costs of vehicle emissions
Tord Kjellstrom, National Centre for
Epidemiology and Population Health, Australian
National University, Canberra (Australian
Transport Research Forum, Canberra, Oct 2nd 2002)
2
Issues to be explored
  • Which health issues need to be considered in
    relation to vehicle transport ?
  • What are the emissions from vehicles and what are
    their potential health impacts ?
  • Can the health effects of emissions be
    demonstrated and quantified ?
  • What might be the health and other cost changes
    from reduced emissions ? (NZ examples)
  • How would different policy measures reduce the
    health costs ?

3
Indicators of vehicle density and traffic safety,
1998
4
Health hazards associated with different
transport modes (relative to the hazards created
by walking)
5
Main air pollution sources and issues
  • MOTOR VEHICLES increasing traffic density
    gradual introduction of emission controls
    including low emission engines increasing local
    concern about air pollution greenhouse gases.
  • HOME HEATING use of wood and coal decreasing
    still important in certain communities influence
    of oil and electricity prices greenhouse gases.
  • INDUSTRY AND POWER STATIONS local problems in
    hot spots greenhouse gases.

6
Major air pollutants from vehicles
  • Carbon Monoxide
  • Nitrogen dioxide
  • Ozone (secondary pollutant)
  • Sulfur dioxide
  • (Lead)
  • Particles TSP, PM10, PM2.5
  • Hydrocarbons (VOCs, PAHs, incl. BaP)
  • Other greenhouse gases (CO2)
  • Actual air concentrations very dependent on
    windspeed, wind direction and rainfall

7
Main health effects of vehicle air pollutants
8
Dose-relationships for PM10 and different health
effect indicators (WHO air quality guidelines,
2000)
9
Christchurch, typical daily air pollution
variations
10
(No Transcript)
11
Daily mortality residual of regression model
without pollutants, against the level of PM10
Christchurch
Each point is an average of 20 adjacent points
sorted by PM10
12
Poisson regression result (Christchurch, 1988 -
1997)(for summer months, September - April)
Health outcome Total deaths
  • Maximum hourly temperature above 27.9 degree C
    had a significant effect on same day total
    mortality but no significant effect on total
    mortality on subsequent days.
  • PM10 level had a significant effect on same day
    total mortality and also on total mortality on
    the subsequent day.
  • CO and NO2 levels were not significant when PM10
    was in the model (strong correlation between
    pollutant levels)
  • Thus, summer air pollution (almost exclusively
    vehicle related) increases mortality

13
Mortality effect of urban air pollution (PM, NO2,
CO or ozone)
  • Numerous studies in North America, Europe and
    Asia show daily mortality increase (also in
    Sydney, Brisbane, Melbourne and Perth)
  • 1 daily mortality increase per 10 ug/m3 PM10
  • Two major studies in the USA show annual
    mortality increase related to annual PM10 or
    PM2.5
  • 3 4 annual total mortality increase per
    annual 10 ug/m3 PM10 increase
  • Recent studies show lung cancer increase

14
Mode of transport to commute to work, census day,
1996
 
Average public transport use Auckland region 6
Melbourne 16 Stockholm 37
15
Auckland example Health costs of private
vehicle transport vs. public transport
  • Car crash deaths during commuting hours
  • Deaths related to vehicle emissions emitted
    during the same hours
  • Deaths due to increased mortality among people
    with obesity related to lack of physical activity
    during commuting

16
Estimating deaths from crashes and emissions
  • 80 deaths/year in car crashes 50 during weekday
    commuting hours 40 deaths/year
  • recent study in Europe car air pollution
    contributes to 400 deaths/million people/10 ug/m3
    PM10
  • if half of Aucklands million people are exposed
    to 10 ug/m3 from vehicles, and half of the
    pollution is created during weekday commuting
    hours
    .
    100 deaths/year

17
Deaths from lack of physical activity among car
drivers
  • - lack of natural daily physical exercise one
    outcome of in the 300,000 car commuters of
    Auckland
  • obesity prevalence in Auckland appr. 20 (60,000
    of car commuters)
  • obesity increase among constant car users appr.
    1.2 (appr. 10,000 car-obese among commuters)
  • at 0.8 background mortality per year and appr.
    50 increased mortality among obese people, the
    car commuter obesity would cause 0.4 x 10,000

  • 40 deaths/year

18
Potentially reduced health costs with increased
public transport commuting and reduced
unnecessary car driving in Auckland
  • Total road toll from crashes, air pollution and
    obesogenic environment 180/year
  • Bringing Auckland to Melbourne level (10 reduced
    car commuting) possibly saves 18 lives/year
  • Bringing Auckland to Stockholm level (25 reduced
    car commuting) possibly saves 45 lives/year

19
The cost of public health impacts of transport
and adaptation actions
  • Includes
  • mortality ( 2 million per life, MoT)
  • hospital admissions (2,000 per admission)
  • Other health care costs
  • cost of absenteeism from work or school
  • noise protection of communities, schools,
    workplaces, homes, etc.
  • traffic safety measures, air pollution control
  • cost of heat/climate related health impacts

20
Collateral externality gains from Health cost
or Greenhouse gas reductions
  • NZ Transport emissions, 1998 6381 kt CO2 equ.
  • In Auckland, appr. 30 1900 kt
  • If 25 reduction of private car commuting leads
    to 20 reduction of CO2 380 kt
  • ( 6 of transport and 0.5 of total GHGs)
  • at US 21/ton CO2 equ.gtgtgt
  • Value of reduced CO2 NZ 20 million/yr
  • Value of reduced mortality NZ 90 million/yr
  • To this should be added other health costs
  • Thus, CO2 value alone underestimates economic
    value by at least a factor of 5 ! ( 20 instead
    of 110 million)

21
NZ National example
  Health effects due to motor vehicle air
pollution in New Zealand.     Report to the
Ministry of Transport  20 March,
2002        G.W. Fisher1, K. A. Rolfe2, Prof. T.
Kjellstrom3, Prof. A. Woodward4, Dr S. Hales4,
Dr A. P. Sturman5, Dr S. Kingham5, J. Petersen1,
R. Shrestha3, D. King1.   1.   NIWA 2.   Kevin
Rolfe Associates Limited 3.   University of
Auckland 4.   Wellington Medical School 5.  
University of Canterbury http//www.transport.gov
t.nz/publications/niwa_report
22
Health cost calculation method
  • 1. Air monitoring results in urban areas,
    geographic distribution when possible
  • 2. Emission inventories to estimate fraction of
    total air pollution emitted from vehicles
  • 3. Population data by geographic area to estimate
    number exposed
  • 4. Health effects based on annual linear
    dose-response relationship, with a threshold and
    adjustment for background mortality

23
Total mortality (all ages) due to road toll and
vehicle emissions
24
Mortality rates per million people gt 30 years of
age due to traffic crashes and vehicle emissions
25
 
Estimated annual deaths due to air pollution
 
26
Health cost implications of different transport
policies
27
Conclusions
  • Epidemiological and other health research
    evidence on health impacts is accumulating
  • More accurate quantitative estimates of health
    costs are becoming possible
  • Integrated epidemiology and health economics
    research can help inform policy development
  • Important to consider collateral externality
    gains of policies for health cost reduction,
    particularly greenhouse gas gains

28
The End Thank you !
Write a Comment
User Comments (0)
About PowerShow.com