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Open AccessJournal ArticleDOI

A review of transport noise indicators

Cristina Pronello, +1 more
- 21 Aug 2012 - 
- Vol. 32, Iss: 5, pp 599-628
TLDR
In this paper, a review of the main transport noise indicators, both the general acoustic ones and those used for specific transport modes, is presented, with a critical analysis of the strengths and weaknesses of these indicators, as well as a section discussing the framework in which they work.
About
This article is published in Transport Reviews.The article was published on 2012-08-21 and is currently open access. It has received 17 citations till now. The article focuses on the topics: Environmental noise & DPSIR.

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Citations
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Dissertation

Bus travel time prediction under mixed traffic conditions: Integrating transit smart card and car Bluetooth data

TL;DR: In this article, the authors developed two models comprising a probabilistic model of the disturbance on the bus network and an accurate and reliable bus travel time prediction model that explicitly considers the bus-car interaction and dynamic passenger demand.
References
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Roadmap to a Single European Transport Area: Towards a competitive and resource efficient transport system

TL;DR: The EESC agreed that the 2050 vision goal of a greenhouse gas (GHG) reduction of 60 % in the transport sector, although very challenging, is in line with the EU's overall climate policy aims and that it strikes a reasonable balance between the need for quick reductions of greenhouse gases and the time needed to optimise energy efficiency in a single European Transport Area and develop new and sustainable fuels and propulsion systems in order to reduce dependence on fossil fuels as mentioned in this paper.
Journal ArticleDOI

'Complacent Car Addicts' or 'Aspiring Environmentalists'? Identifying travel behaviour segments using attitude theory

TL;DR: In this article, the authors used the theory of planned behaviour to segment a population of day trip travellers into potential mode switchers using cluster analysis, and extracted six distinct psychographic groups with varying degrees of mode switching potential.
Journal ArticleDOI

Annoyance from transportation noise: Relationships with exposure metrics DNL and DENL and their confidence intervals

TL;DR: Better estimates of the confidence intervals due to the improved model of the relationship between annoyance and noise exposure are provided, which is easier to use for practical calculations than the model itself.
Book

Burden of Disease from Environmental Noise: Quantification of Healthy Life Years Lost in Europe

TL;DR: Policy-makers and their advisers are provided with technical support in their quantitative risk assessment of environmental noise and can use the procedure for estimating burdens presented here to prioritize and plan environmental and public health policies.
Journal ArticleDOI

Exposure-response relationships for transportation noise

TL;DR: In this paper, the authors presented synthesis curves for the relationship between DNL and percentage highly annoyed for three transportation noise sources, including aircraft, road traffic, and railway noise, based on all 21 datasets examined by Schultz and Fidell et al. and augmented with 34 datasets.
Related Papers (5)
Frequently Asked Questions (7)
Q1. What are the future works in this paper?

The possibility to use short-time measures to calculate Lden is critical for a good use of past efforts and to reduce monitoring costs. To this extent the measurement techniques are important to distinguish between potential ( Lden ) and real disturbance. The traffic micro-simulation models, more suited to apprehend the kinematic characteristics, can help ( Chevallier et al., 2009 ; Beuving and Hemsworth, 2006, but costs are high as regards the potential improvements. Of course, simpler methods are welcome and better measured data will allow a good trade-off between simplification and precision, also because measurements remain essential to calibrate the models ( e. g. for the evolution of the vehicle fleets ). 

The paper presents a review of the main transport noise indicators, both the general acoustic ones and those used for specific transport modes. A critical analysis of the strengths and weaknesses of those indicators is provided, as well as a section discussing the framework in which they work, and suggestions for their best use, aimed at assisting decision-makers to ascertain their role in the evaluation process of the transport systems. 

Noise induces social and behavioural effects, notably annoyance and sleep disturbance; from a medical point of view, the effects of noise on human health are also well known: hearing impairment, speech intelligibility, physiological dis-functions, mental illness, performance reduction, cardiovascular diseases (WHO, 1999; WHO, 2011). 

carrying out measurements is a very expensive exercise and, to meet the Directive requirements properly, long time measurements are necessary. 

The difficulty to attain those targets is that 80% of people live in the urban areas, where transport infrastructures represent the most important source of noise. 

While in Europe the use of Lden and Lnight indicators for the economic evaluation of noise effects is now common, this paper shows that decision-makers should jointly use noise and socio-economic variables to fully support their decisions. 

The general acoustic indicators are useful when it is just important to quantify the noise produced and, for this reason, both road and rail noise indicators stem from Leq, SEL and Lxx.