New town planning—noise mapping tools to facilitate evaluation of noise exposure on different traffic management concepts

2012 ◽  
Vol 131 (4) ◽  
pp. 3336-3336
Author(s):  
Tsz Hin (Laurent) Cheung
Keyword(s):  
Traffic Management ◽  
Noise Exposure ◽  
Town Planning ◽  
Noise Mapping ◽  
New Town ◽  
Management Concepts

scholarly journals Analyzing the Spatiotemporal Uncertainty in Urbanization Predictions

2021 ◽  
Vol 13 (3) ◽  
pp. 512
Author(s):  
Jairo Alejandro Gómez ◽  
ChengHe Guan ◽  
Pratyush Tripathy ◽  
Juan Carlos Duque ◽  
Santiago Passos ◽  
...  
Keyword(s):  
Urban Growth ◽  
Geographical Information Systems ◽  
Growth Models ◽  
A Priori ◽  
Remote Sensing Data ◽  
Public Utility ◽  
Town Planning ◽  
Geographical Information ◽  
New Town ◽  
Spatiotemporal Uncertainty

With the availability of computational resources, geographical information systems, and remote sensing data, urban growth modeling has become a viable tool for predicting urbanization of cities and towns, regions, and nations around the world. This information allows policy makers, urban planners, environmental and civil organizations to make investments, design infrastructure, extend public utility networks, plan housing solutions, and mitigate adverse environmental impacts. Despite its importance, urban growth models often discard the spatiotemporal uncertainties in their prediction estimates. In this paper, we analyzed the uncertainty in the urban land predictions by comparing the outcomes of two different growth models, one based on a widely applied cellular automata model known as the SLEUTH CA and the other one based on a previously published machine learning framework. We selected these two models because they are complementary, the first is based on human knowledge and pre-defined and understandable policies while the second is more data-driven and might be less influenced by any a priori knowledge or bias. To test our methodology, we chose the cities of Jiaxing and Lishui in China because they are representative of new town planning policies and have different characteristics in terms of land extension, geographical conditions, growth rates, and economic drivers. We focused on the spatiotemporal uncertainty, understood as the inherent doubt in the predictions of where and when will a piece of land become urban, using the concepts of certainty area in space and certainty area in time. The proposed analyses in this paper aim to contribute to better urban planning exercises, and they can be extended to other cities worldwide.

Integrating environmental noise considerations into public policy: the case of Ireland

2021 ◽  
Vol 263 (3) ◽  
pp. 3218-3222
Author(s):  
Jon Paul Faulkner ◽  
Enda Murphy
Keyword(s):  
Noise Exposure ◽  
Environmental Noise ◽  
Management Policy ◽  
Policy And Practice ◽  
Noise Mapping ◽  
Current Application ◽  
Eu Member States ◽  
Mapping Process ◽  
Irish Case ◽  
Harmful Effects

European Commission Directive (EU) 2020/367 describes how harmful effects from environmental noise exposure are to be calculated for ischemic heart disease (IHD), high annoyance (HA), and high sleep disturbance (HSD) for road, rail, and aircraft noise under the Environmental Noise Directive's (END) strategic noise mapping process. It represents a major development in understanding the extent of exposure from transport-based environmental noise given it is a legal requirement for all EU member states from the 2022 reporting round. It also has the potential to accelerate the development of stronger noise-health policies across the EU. While this development is to be welcomed, there are a number of basic noise-health policy applications that first need to be implemented in the Irish case if the noise-health situation is be accurately assessed and if public health is to be adequately protected. In order to address this requirement the following paper presents concrete policy and practice recommendations as well as an evaluation of the current application of noise management policy in Ireland which is administered to protect the public from the harmful effects of environmental noise. This paper provides guidance on how noise-health considerations can be integrated into key relevant areas of Irish policy including healthcare, the environment, transportation, and planning.

Practical Use of Noise Mapping to Reduce Noise Exposure in the Construction Industry

2020 ◽  
pp. 209-216
Author(s):  
M. L. De la Hoz-Torres ◽  
Antonio J. Aguilar-Aguilera ◽  
M. D. Martínez-Aires ◽  
Diego P. Ruiz
Keyword(s):  
Construction Industry ◽  
Noise Exposure ◽  
Noise Mapping

Traffic Noise Pollution Assessment in Major RoadJunctions of Imphal City, Manipur (India)

2021 ◽  
Author(s):  
WAZIR ALAM ◽  
Ramtharmawi Nungate
Keyword(s):  
Noise Level ◽  
Noise Exposure ◽  
Traffic Noise ◽  
Pollution Assessment ◽  
Noise Pollution ◽  
Pollution Level ◽  
Night Time ◽  
Noise Mapping ◽  
Noise Parameters ◽  
Spatial Noise

Abstract Noise pollution assessment was carried out in selected traffic junctions of Imphal city of Manipur, India. The noise pollution assessment was carried out using noise parameters and indices such as L10, L50, L90, Leq for selected traffic junctions during the different periods of the day, i.e., morning, noon, and evening hours. The study of equivalent noise level (Leq), noise parameters, and various noise indices have enabled the evaluation of the overall traffic noise environment of the city. The traffic noise indices such as traffic noise index (TNI), noise climate (NC), traffic noise pollution level (LNP), noise exposure index (NEI) along with day time (LD), night time (LN) average, and day-night (Ldn) noise levels were assessed for the selected traffic junctions. Moreover, spatial noise mapping was carried out using the geostatistical interpolation technique to evaluate the changes of traffic noise scenarios during the different time zones of the day. The Leq values in few traffic junctions exceeded the required noise standards. The study shows equivalent noise level ranging between 52.2–69.9 dB(A) during the morning (7–10 am), 52.4–69.3 dB(A) during noon (12 noon-2 pm), and 54.6–71.1 dB(A) during the evening (4–7 pm) hours, respectively.

Road traffic noise disease burden estimates for a model study of varying urban morphology cases

2021 ◽  
Vol 263 (3) ◽  
pp. 3282-3293
Author(s):  
Jens Forssén ◽  
Andreas Gustafson ◽  
Meta Berghauser Pont ◽  
Marie Haeger-Eugensson ◽  
Christine Achberger ◽  
...  
Keyword(s):  
Disease Burden ◽  
Noise Exposure ◽  
Road Traffic ◽  
Traffic Noise ◽  
Urban Morphology ◽  
Urban Setting ◽  
Road Traffic Noise ◽  
Noise Mapping ◽  
Direct Exposure ◽  
Life Years

For a model set of 31 different building morphologies in an urban setting, road traffic noise exposure has been calculated and analysed. For five of the building morphologies also vegetation surfaces on facades and roofs were studied. Facade exposures were analysed for both smaller (single-sided) flats and larger (floor-through) flats, considering the direct exposure from the roads as well as the non-direct exposure at noise-shielded positions like inner yards, applying a noise mapping software in combination with a prediction model for the non-direct exposure. Using noise indicators Lden and Lnight, the disease burden, in terms of DALY (Disability-Adjusted Life Years) per person, was estimated and analysed, via predictions of annoyance and sleep disturbance. The resulting effects of varying the building morphology and adding vegetation are shown and discussed, including effects of a bonus model for flats having additional facade elements with lower noise exposure.

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