Lessons learnt from post EIS evaluations of national road schemes in Ireland |
| |
| Affiliation: | 1. Department of Mechanical and Manufacturing Engineering, Parson''s, Building, Trinity College, Dublin, Ireland;2. National Roads Authority, St Martin''s House, Waterloo Road, Dublin 4, Ireland;1. School of Civil and Construction Engineering, Oregon State University, Corvallis, OR 97331, USA;2. Department of Computer & Information Science, Indiana University – Purdue University Indianapolis, Indianapolis, IN 46202, USA;1. Department of Geography, San Diego State University, San Diego, USA;2. Institute of Geoecology and Geoinformation, Adam Mickiewicz University, Poznan, Poland;3. Institute for Geoinformatics, The University of Münster, Germany;1. Pforzheim University, Faculty of Business and Law, Tiefenbronner Straße 65, 75175 Pforzheim, Germany;2. Centre for European Economic Research (ZEW), L7,1, 68161 Mannheim, Germany |
| |
| Abstract: | The Irish National Roads Authority (NRA) recently completed over twenty post environmental impact assessment evaluations of noise chapters prepared as part of Environmental Impact Statements (EISs) for new national road schemes in Ireland. The study focused on a range of issues including a review of noise monitoring procedures, noise prediction methodologies and an assessment of the effectiveness of noise mitigation measures currently in use on national road schemes. This review was carried out taking cognisance of best international practices for noise assessment and methodologies used to mitigate road traffic noise. The primary focus of the study was to assess the actual noise impacts of national road scheme developments and to revise, where necessary, methodologies recommended in the current NRA guidance document describing the treatment of noise on national road schemes. This paper presents a summary of the study and identifies a number of key areas that should be considered prior to the development of future guidance documents. |
| |
| Keywords: | |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
