Abstract
AbstractIn 2014 the three-year interdisciplinary study SiRENE (Short and Long Term Effects of Traffic Noise Exposure) was launched in Switzerland. The goal of SiRENE is to investigate acute, short- and long-term e_ects of road, railway and aircraft noise exposure on annoyance, sleep disturbances and cardio-metabolic risk.The study is based on a detailed Swiss-wide assessment of transportation noise exposure, including diurnal distributions. The exposure analysis comprises current as well as historical exposure calculations for up to 20 years in the past.We present the major challenges of compiling sufficient data to support a Swiss-wide model for all buildings and including all transport infrastructure as a basis for the subsequent SiRENE sound exposure analysis for the years 2011, 2001 and 1991. The task is particularly challenging for the early years due to poor data quality and/or lack of availability. We address the integration of geo-referenced input datasets from various sources and time periods, the assignment of tra_c noise exposure from façade points to dwelling units, as well as the processing of traffic information and statistics. Preliminary results of the noise exposure calculations are presented.
Highlights
Transportation noise, largely from road, railway and aircraft tra c, is one of the most widespread sources of environmental stress and discomfort in daily life
We focus on the relationship between noise exposure from individual and combined transportation sources and three main outcomes: annoyance, sleep disturbances and cardio-metabolic risk
We address the integration of geo-referenced input datasets from various sources, the processing of tra c information, the noise calculations as well as the assignment of tra c noise exposure characteristics from façade points to dwelling units
Summary
Transportation noise, largely from road, railway and aircraft tra c, is one of the most widespread sources of environmental stress and discomfort in daily life. Based on the EU strategic noise maps, covering approximately 20% of the total population in 2010, an estimated 50% of residents in agglomerations with >250,000 inhabitants are exposed to road trafc noise of ≥55 dB Lden [1]. For example in communicating noise exposure in a comprehensible way to the public [7], such energy-based exposure measures seem to predict su ciently well annoyance or disturbance [8] Their application to forecast the impact of noise on sleep has not met with much success [9,10,11,12,13]. Whereas the probabilities of event-related awakenings and cardiovascular arousals clearly increase with the maximum sound pressure level of noise events
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