ArticleEnvironmental science and pollution research international2019
Economic value of traffic noise reduction depending on residents' annoyance level.
Article in Environmental science and pollution research international, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Cost-Effectiveness of Strategies Addressing Environmental Noise: A Systematic Literature Review.International journal of environmental research and public health · 2025Pooled it
- Assessment of Noise Levels and Perceptions of Its Health Impact at Kejetia Market in Ghana.TheScientificWorldJournal · 2024Article
- Optimization of the Sound Absorption Coefficient (SAC) from Cellulose-Silica Aerogel Using the Box-Behnken Design.ACS omega · 2022Article
- Estimating cost of fighting against fake news during catastrophic situations.Telematics and informatics · 2022Article
- Improving noise policies in South Korea: non-market valuation based on an impact pathway approach.Environmental science and pollution research international · 2021Article
- Assessment of noise pollution and associated subjective health complaints and psychological symptoms: analysis through structure equation model.Environmental science and pollution research international · 2020Article
- Evidence Relating to Environmental Noise Exposure and Annoyance, Sleep Disturbance, Cardio-Vascular and Metabolic Health Outcomes in the Context of IGCB (N): A Scoping Review of New Evidence.International journal of environmental research and public health · 2020Article
- Social benefits of improving water infrastructure in South Korea: upgrading sewage treatment plants.Environmental science and pollution research international · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Noise is the most frequently encountered type of environmental pollution in everyday life and has a direct negative effect on humans. Individuals who are constantly exposed to noise tend to have a high incidence of cardiovascular disease and hypertension. Noise sources range from construction sites to political rallies and assemblies, but traffic is one of the most long-lasting and chronic sources of noise. Previously, researchers have conducted valuations of road traffic noise reduction, but they did not consider residents' annoyance levels in response to traffic noise. However, individuals' annoyance levels affect the economic value of noise reduction policies and thus must be considered to obtain an accurate estimate. Therefore, this study investigated residents' willingness to pay for traffic noise reduction depending on their annoyance level. We used the contingent valuation method and a survey to analyze how much 1022 respondents in Korea were willing to pay for noise reduction. We found that people who were annoyed and extremely annoyed by noise had a willingness to pay KRW 8422 (US $7.55) and KRW 9848 (US $8.83) annually per household, respectively, to reduce their annoyance level to zero. In addition, we determined the economic benefits of noise reduction policies using the respondents' willingness to pay to reduce noise by 1 dB(A), which totaled KRW 3.28 billion (US $2.91 million) per year. The results of this study provide estimates of the annual benefits of traffic noise reduction considering residents' annoyance level.
Indexed as
Identifiers
30656585What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.