Dynamic Socio – economic mapping
of Neighbourhoods
Vilni Verner Holst Bloch
Cand.scient. landscape ecology and natural resources
Statistics Norway
Otervegen 23
N - 2225 Kongsvinger
Tel : ++47 / 62 88 50 62
Fax : ++47 / 62 88 54 59
E-mail : [email protected]
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Blobs - Dynamic models at Statistics Norway
•
Origins of dynamic models in Statistics Norway from
automatic delineations of Urban settlements (~1996)
•
Land use models for urban settlements (~2002)
•
Central business districts and leisure home areas (~2003)
•
Pilot on neighbourhood sonoscape – context sensitive
noise impact mapping(~2004)
•
Recent development based on cooperation with
Institute for Transport Economics (2005/2006)
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Example of dynamic delinations
Road noise annoyance – Inner Oslo city
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Socio – economic mapping
• Mapping the invisible for none-statisticians
• Showing inequalities
• Measure of welfare distribution
• Two legs of a chair of sustainability
• Mapping small communities – not individuals
• Monitoring policy impacts
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Studied indicators and criterias
ind1A. Income before taxes
ind1B. Property before taxes
ind2. Education
ind3. Social assistance
ind4. Sickness absence
ind5. Living standard
Age 16 - 67, share < 100 000,- NOK (~14 000 Euro)
Age 16 - 67, share < 100 000,- NOK (~14 000 Euro)
Age 25-67 years, share low education
Share receiving social assistance
Age 16-69 years, share, less than average (7%)
All, share, 1 or more persons per living room
ind6 Noise, road traffick
ind7 Polution
(> 65 dBA )
(PM10.)
ind8 Share small houses
ind9 Share 1-person-houshold
(> 15 per cent 1-room-houses)
(> 70 per cent)
ind10 Distance to centre zone
ind11 Distance to main centre
(> 500 m)
(> 1000 m main central business district)
ind12 Distance to green area
(> 500 m to unbuilt areas > 200 daa)
- Denied publication
- Granted publication
- Not applied for publication
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Method – step 1/2
A: Buildings with residents
2
4
4
8
61
9
12
11
7
20
33
23
43
1
63
41
37
53
33
B: Buildings with residents
within 75 meter
37
Building
Road
75 meter radius
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Method – step 2/2
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Neighbourhood statistics – Low education
Thanks for your attention
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