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Research article · 2025 · Full text

International Journal of Geography Geology and Environment

Assessment of noise pollution levels and health impacts in the seoul commercial district

Emi YoshidaTakeshi Yamamoto

Volume 7(2) · Pages 76–78 · DOI: 10.22271/27067483.2025.v7.i2a.573 ↗

Research areasNoise Effects and ManagementVehicle Noise and Vibration ControlHearing, Cochlea, Tinnitus, Genetics

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Abstract

Author-written

Seoul’s commercial districts have grown noisier over the past two decades, driven by traffic intensification, construction booms, and a rapid expansion of entertainment venues. This research measured noise pollution levels at 48 monitoring stations across three major commercial zones in Seoul—Myeongdong, Gangnam, and Hongdae—alongside a residential control area, between January 2021 and December 2022. Continuous sound level measurements were collected using calibrated Type 1 sound level meters recording equivalent continuous sound level (Leq) at 15-minute intervals. Health impact data came from district-level public health records covering hearing complaints, sleep disturbance reports, stress-related consultations, and cardiovascular symptom referrals from 2015 to 2022. Results showed that mean daytime Leq exceeded the WHO guideline of 70 dB(A) at 73.4% of commercial monitoring stations. Peak noise at Myeongdong reached 80.2 dB(A) during afternoon hours. Commercial zones averaged 14.6 dB(A) higher than the residential control. Health complaint rates in high-noise zones rose by 41.3% over the eight-year period, with hearing-related complaints showing the steepest increase. Spatial analysis revealed that stations within 50 m of major intersections recorded noise levels 6.8 dB(A) higher than side-street stations. These findings indicate that current zoning regulations and noise barriers are not keeping pace with the acoustic load generated by Seoul’s commercial activity.

Summary

Source-checked

Plain-language reading of the full paper, prepared with AI and checked against the text. Each point links to the authors' own words.

  1. Why it matters

    • Seoul's commercial areas have experienced increasing noise levels over twenty years due to more traffic, construction, and entertainment venues. View evidence ↗

      Why it matters

      Seoul's commercial areas have experienced increasing noise levels over twenty years due to more traffic, construction, and entertainment venues.

      In the paper's own words

      “Seoul’s commercial districts have grown noisier over the past two decades, driven by traffic intensification, construction booms, and a rapid expansion of entertainment venues.”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
    • Chronic exposure to noise can lead to physiological stress, increasing the risk of cardiovascular events by 7–17% for every 10 dB(A) increase over baseline. View evidence ↗

      Why it matters

      Chronic exposure to noise can lead to physiological stress, increasing the risk of cardiovascular events by 7–17% for every 10 dB(A) increase over baseline.

      In the paper's own words

      “Chronic noise exposure triggers cortisol elevation and sympathetic nervous system activation, raising blood pressure and increasing cardiovascular event risk by 7–17% per 10 dB(A) increase above baseline”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
    • Previous studies in Seoul were limited by sparse monitoring and a lack of direct links between noise measurements and district-level health data. View evidence ↗

      Why it matters

      Previous studies in Seoul were limited by sparse monitoring and a lack of direct links between noise measurements and district-level health data.

      In the paper's own words

      “Earlier assessments of Seoul’s noise environment relied on sparse monitoring networks or short-term surveys that missed temporal variability [6]. Few connected measured noise levels directly to health outcome data at the district level.”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
  2. The question

    • The study aimed to fill research gaps by using a dense monitoring network over two years to link noise levels in three commercial zones to public health records. View evidence ↗

      The question

      The study aimed to fill research gaps by using a dense monitoring network over two years to link noise levels in three commercial zones to public health records.

      In the paper's own words

      “This research addressed both gaps by deploying a dense monitoring network across three commercial zones over two full years and linking the acoustic data to public health records for the same districts.”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
  3. What they did

    • Noise was measured at 48 stations across Myeongdong, Gangnam, Hongdae, and a residential control area from January 2021 to December 2022. View evidence ↗

      What they did

      Noise was measured at 48 stations across Myeongdong, Gangnam, Hongdae, and a residential control area from January 2021 to December 2022.

      In the paper's own words

      “This research measured noise pollution levels at 48 monitoring stations across three major commercial zones in Seoul—Myeongdong, Gangnam, and Hongdae—alongside a residential control area, between January 2021 and December 2022.”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
    • The researchers used 48 calibrated Class 1 sound level meters to record A-weighted equivalent continuous sound levels (Leq) and other indicators every 15 minutes. View evidence ↗

      What they did

      The researchers used 48 calibrated Class 1 sound level meters to record A-weighted equivalent continuous sound levels (Leq) and other indicators every 15 minutes.

      In the paper's own words

      “Equipment included 48 Brüel & Kjær Type 2250 Class 1 sound level meters, calibrated bi-weekly using a Brüel & Kjær 4231 acoustic calibrator. Meters recorded A-weighted equivalent continuous sound level (Leq), maximum (Lmax), and statistical noise indicators (L10, L50, L90) at 15-minute intervals.”

      Page 2

      Found in: Methods

      Read it in the full textOpen PDF at page 2 ↗
    • Health data from 2015 to 2022 were collected from public health records, focusing on hearing, sleep, stress, and cardiovascular complaints. View evidence ↗

      What they did

      Health data from 2015 to 2022 were collected from public health records, focusing on hearing, sleep, stress, and cardiovascular complaints.

      In the paper's own words

      “Health impact data came from district-level public health records covering hearing complaints, sleep disturbance reports, stress-related consultations, and cardiovascular symptom referrals from 2015 to 2022.”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
    • Noise maps were created using ArcGIS 10.8 with a 10 m grid resolution and inverse distance weighting. View evidence ↗

      What they did

      Noise maps were created using ArcGIS 10.8 with a 10 m grid resolution and inverse distance weighting.

      In the paper's own words

      “Spatial analysis employed inverse distance weighting to generate noise maps in ArcGIS 10.8, with 10 m grid resolution.”

      Page 2

      Found in: Methods

      Read it in the full textOpen PDF at page 2 ↗
  4. What they found

    • At 73.4% of commercial monitoring stations, the mean daytime equivalent sound level (Leq) was above the WHO guideline of 70 dB(A). View evidence ↗

      What they found

      At 73.4% of commercial monitoring stations, the mean daytime equivalent sound level (Leq) was above the WHO guideline of 70 dB(A).

      In the paper's own words

      “Results showed that mean daytime Leq exceeded the WHO guideline of 70 dB(A) at 73.4% of commercial monitoring stations.”

      Page 1

      Found in: Comprehensive Interpretation

      Read it in the full textOpen PDF at page 1 ↗
    • Myeongdong had a mean daytime Leq of 74.6 dB(A), with 81.3% of its stations exceeding WHO guidelines. View evidence ↗

      What they found

      Myeongdong had a mean daytime Leq of 74.6 dB(A), with 81.3% of its stations exceeding WHO guidelines.

      In the paper's own words

      “Myeongdong 74.6 80.2 62.8 81.3 12.4”

      Page 2

      “Mean daytime Leq exceeded 70 dB(A) in two of three commercial zones, with Myeongdong reaching 74.6 dB(A) and 81.3% of its stations exceeding the WHO guideline (Table 1).”

      Page 2

      Found in: Comprehensive Interpretation

      Read it in the full textOpen PDF at page 2 ↗
    • Noise levels in commercial zones were, on average, 14.6 dB(A) higher than those in the residential control area. View evidence ↗

      What they found

      Noise levels in commercial zones were, on average, 14.6 dB(A) higher than those in the residential control area.

      In the paper's own words

      “Commercial zones averaged 14.6 dB(A) higher than the residential control.”

      Page 1

      Found in: Study Area Description

      Read it in the full textOpen PDF at page 1 ↗
    • Over an eight-year period, health complaints in high-noise zones increased by 41.3%, with the most significant rise in hearing-related issues. View evidence ↗

      What they found

      Over an eight-year period, health complaints in high-noise zones increased by 41.3%, with the most significant rise in hearing-related issues.

      In the paper's own words

      “Health complaint rates in high-noise zones rose by 41.3% over the eight-year period, with hearing-related complaints showing the steepest increase.”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
    • Stations located within 50 m of major intersections were 6.8 dB(A) louder than those on side streets. View evidence ↗

      What they found

      Stations located within 50 m of major intersections were 6.8 dB(A) louder than those on side streets.

      In the paper's own words

      “Spatial analysis revealed that stations within 50 m of major intersections recorded noise levels 6.8 dB(A) higher than side-street stations.”

      Page 1

      Found in: Comprehensive Interpretation

      Read it in the full textOpen PDF at page 1 ↗
    • Noise levels were 4–6 dB(A) lower during winter months, which the authors attribute to decreased outdoor vendor activity. View evidence ↗

      What they found

      Noise levels were 4–6 dB(A) lower during winter months, which the authors attribute to decreased outdoor vendor activity.

      In the paper's own words

      “Winter months showed 4–6 dB(A) lower averages as outdoor vendor activity decreased.”

      Page 2

      Found in: Climatic and Environmental Conditions

      Read it in the full textOpen PDF at page 2 ↗
  5. What it means

    • The authors conclude that existing zoning controls and noise barriers are insufficient to handle the noise generated by Seoul's dense commercial activity. View evidence ↗

      What it means

      The authors conclude that existing zoning controls and noise barriers are insufficient to handle the noise generated by Seoul's dense commercial activity.

      In the paper's own words

      “Current noise barriers and zoning controls appear inadequate against the acoustic load generated by dense commercial activity.”

      Page 3

      Found in: Introduction

      Read it in the full textOpen PDF at page 3 ↗
    • The authors recommend interventions such as restricting construction hours, improving traffic management in street canyons, and implementing acoustic design standards for new buildings. View evidence ↗

      What it means

      The authors recommend interventions such as restricting construction hours, improving traffic management in street canyons, and implementing acoustic design standards for new buildings.

      In the paper's own words

      “Interventions should target the main contributors: traffic management in canyon streets, construction hour restrictions, and acoustic design standards for new commercial buildings.”

      Page 3

      Found in: Introduction

      Read it in the full textOpen PDF at page 3 ↗
    • The authors note that because they used ecological data, the study cannot prove a direct causal link between noise and health outcomes. View evidence ↗

      What it means

      The authors note that because they used ecological data, the study cannot prove a direct causal link between noise and health outcomes.

      In the paper's own words

      “While this research cannot prove causation from ecological data alone, the dose-response patterns match findings from longitudinal cohort research in European cities [5, 9].”

      Page 2

      Found in: Discussion

      Read it in the full textOpen PDF at page 2 ↗

Visual summary

2 visuals

Illustrations explain the paper; charts are replotted from the paper's own table values.

AI-generated illustration
AI-generated conceptual illustration (Seoul commercial district city street layout). It explains the idea and does not show study data.↗ Enlarge
Spatial Noise Distribution
AI-generated conceptual illustration (Seoul commercial district city street layout). It explains the idea and does not show study data.

AI-generated conceptual illustration (Seoul commercial district city street layout). It explains the idea and does not show study data.

Open full-size image ↗

Spatial Noise Distribution

AI-generated conceptual illustration (Seoul commercial district city street layout). It explains the idea and does not show study data.

View source evidence ↗
Replotted from source data
Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.↗ Enlarge
Mean Leq: Myeongdong vs Gangnam vs Hongdae vs Residential
Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.

Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.

Open full-size image ↗

Mean Leq: Myeongdong vs Gangnam vs Hongdae vs Residential

Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.

View source evidence ↗

Figures & tables

From the original paper
Summary of noise levels by zone (mean daytime Leq,Table 1Page 2Health complaint trends in high-noise districts (perTable 2Page 2Hourly variation in equivalent sound level Leq dB(A) acrossFigure 1Page 2Cumulative health complaints by category in high-noiseFigure 2Page 2
FULL TEXT Original article · reflowed for reading

Introduction

In 1971, the World Health Organization first identified noise as an environmental pollutant warranting public health attention. Half a century later, urban noise has only grown louder. Seoul-home to nearly 10 million residents-consistently ranks among Asia's noisiest cities, with commercial districts bearing the brunt of acoustic overload from road traffic, construction machinery, and nightlife entertainment [1] . The Seoul Metropolitan Government recorded over 42,000 noise complaints in 2019 alone, a 23% increase from 2015 [2] . Noise affects health through multiple pathways. Prolonged exposure above 70 dB(A) accelerates hearing threshold shifts, particularly at frequencies between 3 and 6 kHz [3] . Night-time noise above 55 dB(A) disrupts sleep architecture, reducing slow-wave and REM sleep durations [4] . Chronic noise exposure triggers cortisol elevation and sympathetic nervous system activation, raising blood pressure and increasing cardiovascular event risk by 7-17% per 10 dB(A) increase above baseline [5] . Earlier assessments of Seoul's noise environment relied on sparse monitoring networks or short-term surveys that missed temporal variability [6] . Few connected measured noise levels directly to health outcome data at the district level. This research addressed both gaps by deploying a dense monitoring network across three commercial zones over two full years and linking the acoustic data to public health records for the same districts.

Study Area Description

Three commercial zones were selected: Myeongdong (Jung-gu), Gangnam Station area (Gangnam-gu), and Hongdae (Mapo-gu). A residential area in Seongbuk-gu served as control. Myeongdong is a pedestrianised shopping district with heavy foot traffic and street vendors. Gangnam features wide boulevards with high traffic volumes and mixed commercial-office buildings. Hongdae combines retail with dense nightlife venues. The control area consists of low-rise residential blocks with limited through-traffic. Monitoring stations were placed at street level (1.5 m height) at 48 locations: 16 in each commercial zone and 12 in the residential control.

Climatic and Environmental Conditions

Seoul's climate is humid continental (Köppen Dwa) with mean annual temperature of 12.5°C. Monitoring spanned all four seasons to capture temperature-related changes in outdoor activity and window-opening behaviour, which affect indoor noise exposure. Summer months (June-August) with temperatures above 25°C corresponded to peak outdoor commercial activity and the highest recorded noise levels. Winter months showed 4-6 dB(A) lower averages as outdoor vendor activity decreased.

Materials and Methods

Materials and Methods

Materials

Materials

Methods

Sound level meters were mounted at 1.5 m height on light poles or building facades at each station. Measurements ran continuously for 24 months, yielding over 4.7 million 15minute records after quality screening (rainfall events and equipment malfunctions excluded). Daytime (07:00-22:00) and night-time (22:00-07:00) Leq values were computed separately. Health impact assessment used age-standardised incidence rates for four complaint categories. Spatial analysis employed inverse distance weighting to generate noise maps in ArcGIS 10.8, with 10 m grid resolution. Pearson correlation tested the relationship between stationlevel Leq and proximity to intersections, building height, and commercial density. Temporal trends in health complaints were tested via Mann-Kendall trend analysis in R 4.2.1.

Results

Results

Comprehensive Interpretation

Mean daytime Leq exceeded 70 dB(A) in two of three commercial zones, with Myeongdong reaching 74.6 dB(A) and 81.3% of its stations exceeding the WHO guideline (Table 1). The hourly profile (Figure 1) shows commercial zones peaking between 13:00 and 16:00, while Hongdae exhibited a secondary evening peak driven by nightlife. Health complaints rose sharply across all categories (Table 2), with cardiovascular referrals showing the steepest relative increase (+217.6%). The area chart (Figure 2) illustrates the accelerating trajectory of cumulative complaints. Stations within 50 m of major intersections were 6.8 dB(A) louder than side streets (r = 0.72, p < 0.001).

Figure 2. Cumulative health complaints by category in high-noise
Cumulative health complaints by category in high-noise↗ Enlarge
Figure 2
Cumulative health complaints by category in high-noise

Cumulative health complaints by category in high-noise

Open full-size image ↗
Original paper figureSource PDF · page 2 ↗
Figure 1. Hourly variation in equivalent sound level Leq dB(A) across
Hourly variation in equivalent sound level Leq dB(A) across↗ Enlarge
Figure 1
Hourly variation in equivalent sound level Leq dB(A) across

Hourly variation in equivalent sound level Leq dB(A) across

Open full-size image ↗
Original paper figureSource PDF · page 2 ↗
Table 2. Health complaint trends in high-noise districts (per
Category20152022Change (%)Trend p-value
Hearing142298+109.9< 0.001
Sleep89221+148.3< 0.001
Stress67187+179.1< 0.001
Cardiovascular34108+217.60.002

Table text extracted from the original PDF; superscript letters are shown inline. The original table image is below.

View original table image
Health complaint trends in high-noise districts (per↗ Enlarge
Table 2
Health complaint trends in high-noise districts (per

Health complaint trends in high-noise districts (per

Open full-size image ↗
Original paper tableSource PDF · page 2 ↗
Table 1. Summary of noise levels by zone (mean daytime Leq,
Summary of noise levels by zone (mean daytime Leq,↗ Enlarge
Table 1
Summary of noise levels by zone (mean daytime Leq,

Summary of noise levels by zone (mean daytime Leq,

Open full-size image ↗
Original paper figureSource PDF · page 2 ↗

Discussion

The Myeongdong peak of 80.2 dB(A) places it in the same acoustic range as construction sites, a finding consistent with earlier spot measurements by Park and Kim [6] but now confirmed over a continuous 24-month record. The 14.6 dB(A) gap between commercial and residential zones exceeds the 10 dB(A) difference typically cited in European urban assessments [7] , reflecting Seoul's higher commercial density and narrower street canyons that amplify reflected sound [8] . The health trends are concerning. While this research cannot prove causation from ecological data alone, the doseresponse patterns match findings from longitudinal cohort research in European cities [5,9] . The steep rise in sleep complaints aligns with the Hongdae night-time Leq of 66.9 dB(A)-well above the 55 dB(A) night-time threshold recommended by the WHO [10] . Cardiovascular complaint increases, though starting from a lower base, are rising fastest, consistent with chronic stress pathways activated by prolonged noise exposure [11] .

Conclusion

Conclusion

Acknowledgement

Acknowledgements Funding SourcesSupported by institutional research allocations for urban environmental monitoring. Institutional SupportThe Centre for Terrain Studies, Kyoto, provided acoustic analysis equipment and GIS software. Contributions Not Qualifying for AuthorshipThanks to Seoul Metropolitan Government Public Health Division for health record access.

References

21 in the original paper
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