Using GIS to Derive Spatial Indicators of Pedestrian Exposure to Urban Traffic Noise

  • Paulo Rui Anciães
  • Giles Atkinson
Conference paper


Pedestrians are particularly susceptible to urban environmental nuisances such as transport noise. While we have methods for measuring pedestrian noise exposures in specific locations, policy-makers also require larger-scale evidence on how their policies affect exposures. This paper assesses the role of pedestrian mobility on exposures of people living and working in different areas and using different travel modes at different times. Two GIS-based indicators measure exposure. Non-employed individuals are exposed along the routes to nearby locations and employed individuals are exposed on the walking sections of the optimal routes to work.

The indicators are applied in the assessment of the expansion of the road network and traffic in the Lisbon Metropolitan Area. The exposures of the non-employed have increased in central areas, affecting elderly residents. Areas above exposure standards tend to have employed populations with above-average qualifications while areas below standards have below-average qualifications. Areas above standards for both employed and non-employed individuals also have below-average qualifications.


Public Transport Noise Exposure Optimal Route Travel Mode Private Transport 
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This research was supported by the Portuguese Foundation for Science and Technology. Thanks go to Steve Gibbons, Helena Titheridge and Andrew Lovett for their comments and suggestions.


  1. 1.
    Appleyard D (1981) Livable streets. University of California Press, BerkeleyGoogle Scholar
  2. 2.
    Brainard J, Jones A, Bateman I, Lovett A (2003) Exposure to environmental urban noise pollution in Birmingham, UK. Urban Stud 41:2581–2600CrossRefGoogle Scholar
  3. 3.
    Korte C, Grant R (1980) Traffic noise, environmental awareness, and pedestrian behavior. Environ Behav 12:408–420CrossRefGoogle Scholar
  4. 4.
    Manaugh K, El-Geneidy A (2011) Validating walkability indices: how do different households respond to the walkability of their neighborhood? Transport Res D 16:309–315CrossRefGoogle Scholar
  5. 5.
    Marshall JD, Brauer M, Frank LD (2009) Healthy neighborhoods: walkability and air pollution. Environ Health Perspect 117:1752–1759CrossRefGoogle Scholar
  6. 6.
    Witten K, Pearce J, Day P (2011) Neighbourhood destination accessibility index: a GIS tool for measuring infrastructure support for neighbourhood physical activity. Environ Plann A 43:205–223CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2013

Authors and Affiliations

  1. 1.London School of Economics and Political ScienceLondonUK

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