Sound in the broader urban context Ronny Klboe Background 1980s - - PowerPoint PPT Presentation

Sound in the broader urban context

Ronny Klæboe

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Background

• 1980’s
• Norwegian regulation: Large infrastructure projects should

document their consequences

• Heavy investments in ring roads and tunnel projects
• Typical for road and rail traffic – multiple consequences
• Challenge – noise and air pollution treated differently
• 1990’s
• Research at multiple time-points in quasi experimental settings

document consequences of rerouting traffic

• Harmonisation of outcome indicators – also annoyance from air

pollution

• Parallell good quality socio-environmental studies of both noise

and air pollution

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Traffic

• Noise
• Vibrations
• Air pollution
• Visual aesthetics
• Visual disturbances
• Confiscation of space
• Barriers
• Population dynamics
• Social composition
• Unsafety
• Intimidation
• Insequrity
• Willingness to invest

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Annoyance by road traffic noise

Road Traffic Noise LpAeq, 24h dB 75 70 65 60 55 50

Cumulitave proportion %

100 90 80 70 60 50 40 30 20 10 Annoyance

Hears A little Somewhat Highly annoyed

Does not hear

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Results

• People exposed to air pollution are more likely to be

annoyed by noise and vice versa people exposed to noise are more likely to be annoyed by air pollution

• Noise sensitive persons react stronger, not only to noise

but also air pollution => Noise and air pollution have combined effects

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Combined impacts can explain

• verreactions to noise reductions

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GIS – routines – Harvest information on neighbourhood characteristics < 75 meters

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Apartment D has a better neighbourhood soundscape than B and C

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Exposure effect relationships depend

• n the neighbourhood soundscape

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Lista wind farm

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• Operation 2012 -
• 31 wind turbines
• Behind shoreline on

top of hilly terrain

• 179 properties

within 2 km radius

• 90 respondents

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Windmill noise annoyance and attitudes towards aesthetics correlated

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Future research

• Need multi-site studies stratified
• Need to analyse changes over time
• Need different contexts
• Not possible to cover all aspects in a single study
• Matrix of combinations to be populated

International scope, shared data over time Cooperation platforms Contributions from monitoring pollutants Contributions from apps

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<10 seconds to submit

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Annoyance due to noise + vibrations from military light and heavy arms with control for noise sensitivity.

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We need international urban sound big data platform

• Challenges – handle large number of records associated with new

apps and monitoring (not necessarily many TB)

• Ensure equal rights owner-ship – not hosted at single organisation

making others secondary citizens

• Enable European and world-wide access and networking
• Platform should serve as repository for multiple Web-sites, blogs,

data-bases, calculation software etc.

• Governance to promote coontributions and negotiate conflicts

between producers and consumers of data

• Rules for co-authorship, first-publishing rights etc.

New hyperconvergent «Meta-cloud» solutions managing both remote and local clouds using web-based hypervisor software are able to solve

• wnership problem since whole structure can easily be cloned to

institutions vishing to join and updated nightly

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Horisontal peer to peer equal rights cooperation and management of data

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