The recent Environmental Noise Directive (END) of the European Union (EU) requires that noise maps and action plans are compiled for agglomerations with a population
greater than 250,000 individuals. This paper reports ...
This paper explores methodological issues surrounding the implementation of the EU Environmental Noise Directive (END) across Member States. It also highlights future policy implications arising from the analysis which ...
This paper reports on strategic noise mapping research conducted in Dublin, Ireland. Noise maps are constructed
for the day–evening–night-time and night-time periods and levels of population exposure are estimated for the ...
Dublin’s city centre is the primary destination in the Dublin region for shopping, employment and education. Public transport services in the area have experienced significant time delays throughout peak periods of the day ...
One of the key difficulties with urban environmental noise mapping is disseminating results from noise studies in a manner that is easily understood by the general public. Indeed, it is one of the requirements of the ...
This paper explores issues surrounding the estimation of population exposure data in accordance with EU Directive 2002/49/EC and, in particular, focuses on the assessment of night-time noise. It has been identified by many ...
This paper reports on research conducted to determine estimates of the extent of environmental noise exposure from road transport on residents and workers in central Dublin, Ireland. The Harmonoise
calculation method is ...
The first phase of noise mapping and action planning in Ireland, in accordance with EU Directive 2002/49/EC, is now complete. In total this included one agglomeration, one airport and approximately 600 km of major roads ...
This paper reports on research conducted to analyse the impact of two noise mitigation
measures on levels of population exposure in Dublin, Ireland: travel demand and speed reduction. At the outset, the research utilises ...
This paper tests a smart money-noise trader model directly by comparing its predictions with the behavior of actual investors. It assumes that individual probability of being a noise trader is diminishing in income, ...