Annoyance due to residential road traffic and aircraft noise: Empirical evidence from two European cities

2021 ◽  
pp. 112269
Author(s):  
Peter Preisendörfer ◽  
Ulf Liebe ◽  
Heidi Bruderer Enzler ◽  
Andreas Diekmann
Keyword(s):  
Empirical Evidence ◽  
Road Traffic ◽  
Aircraft Noise ◽  
European Cities

Epidemiology of traffic noise and cardiometabolic disease

ESC CardioMed ◽  
2018 ◽  
pp. 3105-3107
Author(s):  
Mette Sørensen ◽  
Thomas Münzel
Keyword(s):  
Metabolic Disease ◽  
Road Traffic ◽  
Traffic Noise ◽  
Epidemiological Studies ◽  
Research Area ◽  
Aircraft Noise ◽  
Cardiometabolic Disease ◽  
Elevated Blood ◽  
Level Of Evidence ◽  
Transportation Noise

Epidemiological research into the health effects of transportation noise has during the last decades focused on investigating effects on the cardiovascular system. These studies have consistently shown that exposure to road traffic and aircraft noise is associated with elevated blood pressure, prevalent arterial hypertension, as well as a higher risk of ischaemic heart disease. Moreover, recent studies have found exposure to road traffic and aircraft noise to be associated with a higher risk for stroke, and possibly atrial fibrillation. Lastly, new studies point towards transportation noise as a risk factor for metabolic disease, showing an association with obesity and development of diabetes. This chapter examines the epidemiological studies within this research area, with a focus on describing the level of evidence for each outcome, the size of the associations, and research gaps.

scholarly journals Residential green is associated with reduced annoyance to road traffic and railway noise but increased annoyance to aircraft noise exposure

2020 ◽  
Vol 143 ◽  
pp. 105885
Author(s):  
Beat Schäffer ◽  
Mark Brink ◽  
Felix Schlatter ◽  
Danielle Vienneau ◽  
Jean Marc Wunderli
Keyword(s):  
Noise Exposure ◽  
Road Traffic ◽  
Aircraft Noise ◽  
Green Is ◽  
Railway Noise

scholarly journals Traffic Noise and Mental Health: A Systematic Review and Meta-Analysis

2020 ◽  
Vol 17 (17) ◽  
pp. 6175
Author(s):  
Janice Hegewald ◽  
Melanie Schubert ◽  
Alice Freiberg ◽  
Karla Romero Starke ◽  
Franziska Augustin ◽  
...  
Keyword(s):  
Mental Health ◽  
Anxiety Disorders ◽  
Road Traffic ◽  
Meta Analysis ◽  
Traffic Noise ◽  
Significant Risk ◽  
Aircraft Noise ◽  
Road Traffic Noise ◽  
Railway Traffic ◽  
Depression Risk

Recent evidence suggests that traffic noise may negatively impact mental health. However, existing systematic reviews provide an incomplete overview of the effects of all traffic noise sources on mental health. We conducted a systematic literature search and summarized the evidence for road, railway, or aircraft noise-related risks of depression, anxiety, cognitive decline, and dementia among adults. We included 31 studies (26 on depression and/or anxiety disorders, 5 on dementia). The meta-analysis of five aircraft noise studies found that depression risk increased significantly by 12% per 10 dB LDEN (Effect Size = 1.12, 95% CI 1.02–1.23). The meta-analyses of road (11 studies) and railway traffic noise (3 studies) indicated 2–3% (not statistically significant) increases in depression risk per 10 dB LDEN. Results for road traffic noise related anxiety were similar. We did not find enough studies to meta-analyze anxiety and railway or aircraft noise, and dementia/ cognitive impairment and any traffic noise. In conclusion, aircraft noise exposure increases the risk for depression. Otherwise, we did not detect statistically significant risk increases due to road and railway traffic noise or for anxiety. More research on the association of cognitive disorders and traffic noise is required. Public policies to reduce environmental traffic noise might not only increase wellness (by reducing noise-induced annoyance), but might contribute to the prevention of depression and anxiety disorders.

Application of Land Use Regression Modelling to Assess the Spatial Distribution of Road Traffic Noise in Three European Cities

2014 ◽  
Vol 2014 (1) ◽  
pp. 1881
Author(s):  
Inmaculada Aguilera ◽  
Maria Foraster ◽  
Xavier Basagaña ◽  
Elisabetta Corradi ◽  
Alexandre Deltell ◽  
...  
Keyword(s):  
Land Use ◽  
Spatial Distribution ◽  
Road Traffic ◽  
Traffic Noise ◽  
Road Traffic Noise ◽  
Land Use Regression ◽  
Regression Modelling ◽  
European Cities

The effects of autonomous buses to vehicle scheduling system

2020 ◽  
Vol 02 (02) ◽  
pp. 19-23
Author(s):  
Viktor Nagy ◽  
Balázs Horváth
Keyword(s):  
Public Transport ◽  
Autonomous Vehicles ◽  
Basic Problem ◽  
Road Traffic ◽  
Economic Potential ◽  
Scheduling System ◽  
European Cities ◽  
Rest Time ◽  
The One

We are more and more close to the time when a higher number of autonomous vehicles are appearing in road traffic. The number of unanswered questions does not diminish but grow. One such issue is the role of autonomous vehicles in public transport. When talking about autonomous vehicles we often think of only cars and we think less about selfdriving buses. But the economic potential inherent in autonomous buses is huge. In the Hungarian vehicle and crew scheduling practice (and also in other countries) the one driver-one vehicle control is typical. This method closely links the vehicles and the drivers. Vehicles should therefore adapt to the rest time of the crew and the employment rules. Unused reserves are generated in the system. Autonomous vehicles can release this overcapacity. Thanks to that, fewer vehicles can carry out public transport tasks and we can save extra rides. It also provides a solution to the lack of drivers, which is a basic problem in many countries. In our study we show the reserves that can be recovered from the system in the case of three Hungarian cities (Eger, Dunaújváros, Győr). We show how much savings can be achieved by running autonomous buses in European cities with a population of 45 000, 54 000 and 130 000 inhabitants. The results are promising. In smaller cities we could achieve about 20% of economical savings but in bigger cities 40% is also realistic. Our statements are based on only rough calculations and they try to help in preparation for the future.

scholarly journals The effects of road traffic and aircraft noise exposure on children′s episodic memory: The RANCH Project

2010 ◽  
Vol 12 (49) ◽  
pp. 244 ◽  
Author(s):  
Charlotte Clark ◽  
Rocio Martin ◽  
Elise van Kempen ◽  
Mary Haines ◽  
IsabelLopez Barrio ◽  
...  
Keyword(s):  
Episodic Memory ◽  
Noise Exposure ◽  
Road Traffic ◽  
Aircraft Noise

Structural equation models of road traffic and aircraft noise annoyance in Vietnam

2018 ◽  
Vol 66 (6) ◽  
pp. 459-471 ◽  
Author(s):  
Thu Lan Nguyen ◽  
Takashi Morihara ◽  
Takashi Yano ◽  
Shigenori Yokoshima
Keyword(s):  
Structural Equation ◽  
Structural Equation Models ◽  
Road Traffic ◽  
Aircraft Noise ◽  
Noise Annoyance

Long-term transportation noise exposure and incidence of ischaemic heart disease and stroke: a cohort study

2019 ◽  
pp. oemed-2018-105333 ◽  
Author(s):  
Andrei Pyko ◽  
Niklas Andersson ◽  
Charlotta Eriksson ◽  
Ulf de Faire ◽  
Tomas Lind ◽  
...  
Keyword(s):  
Cohort Study ◽  
Heart Disease ◽  
Ischaemic Heart Disease ◽  
Noise Exposure ◽  
Road Traffic ◽  
Cox Proportional Hazards ◽  
Aircraft Noise ◽  
Transportation Noise ◽  
Increased Risk

BackgroundThere is limited evidence from longitudinal studies on transportation noise from different sources and development of ischaemic heart disease (IHD) and stroke.ObjectivesThis cohort study assessed associations between exposure to noise from road traffic, railway or aircraft and incidence of IHD and stroke.MethodsIn a cohort of 20 012 individuals from Stockholm County, we estimated long-term residential exposure to road traffic, railway and aircraft noise. National Patient and Cause-of-Death Registers were used to identify IHD and stroke events. Information on risk factors was obtained from questionnaires and registers. Adjusted HR for cardiovascular outcomes related to source-specific noise exposure were computed using Cox proportional hazards regression.ResultsNo clear or consistent associations were observed between transportation noise and incidence of IHD or stroke. However, noise exposure from road traffic and aircraft was related to IHD incidence in women, with HR of 1.11 (95% CI 1.00 to 1.22) and 1.25 (95% CI 1.09 to 1.44) per 10 dB Lden, respectively. For both sexes taken together, we observed a particularly high risk of IHD in those exposed to all three transportation noise sources at≥45 dB Lden, with a HR of 1.57 (95% CI 1.06 to 2.32), and a similar tendency for stroke (HR 1.42; 95% CI 0.87 to 2.32).ConclusionNo overall associations were observed between transportation noise exposure and incidence of IHD or stroke. However, there appeared to be an increased risk of IHD in women exposed to road traffic or aircraft noise as well as in those exposed to multiple sources of transportation noise.

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