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Dynamic Socio – economic mapping of Neighbourhoods

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 : vvh@ssb.no.

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Dynamic Socio – economic mapping of Neighbourhoods

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  1. Dynamic Socio – economic mappingof 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 : vvh@ssb.no

  2. 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)

  3. Example of dynamic delinations Road noise annoyance – Inner Oslo city

  4. 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

  5. Studied indicators and criterias ind1A. Income before taxes Age 16 - 67, share < 100 000,- NOK (~14 000 Euro) ind1B. Property before taxes Age 16 - 67, share < 100 000,- NOK (~14 000 Euro) ind2. Education Age 25-67 years, share low education ind3. Social assistance Share receiving social assistance ind4. Sickness absence Age 16-69 years, share, less than average (7%) ind5. Living standard All, share, 1 or more persons per living room ind6 Noise, road traffick (> 65 dBA ) ind7 Polution (PM10.) ind8 Share small houses (> 15 per cent 1-room-houses) ind9 Share 1-person-houshold (> 70 per cent) ind10 Distance to centre zone (> 500 m) ind11 Distance to main centre (> 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

  6. Method – step 1/2 A: Buildings with residents B: Buildings with residents within 75 meter Building Road 75 meter radius

  7. Method – step 2/2

  8. Neighbourhood statistics – Low education Thanks for your attention

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