Submitted:
09 October 2024
Posted:
10 October 2024
You are already at the latest version
Abstract
Keywords:
1. Introduction
1.1. Health Impact of Air Pollution Impacts
1.2. Low-Traffic Neighborhoods as a Potential Solution to Tackle Air Pollution
1.3. Aim of the Study
2. Kings Heath Low-Traffic Neighbourhood Zone
3. Materials and Methods
3.1. Air Quality Monitoring
3.2. Survey Questionnaire
3.2.1. Procedure and Study Sample
3.2.2. Measures
3.2.3. Data Analysis
4. Results
4.1. Air Quality Monitoring
4.2. Survey Questionnaire
4.2.1. Opinions Regarding the LTN Scheme
4.2.2. LTN’s impacts on health
4.2.3. Changes in Travel Behavior and Transport Barriers
4.2.3. Community Issues Experienced due to LTN Scheme Implementation
4.2.4. Modifications to the LTN Scheme
5. Discussion
6. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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| Pollutant | Averaging Time | 2005 WHO AQGs | 2021 WHO AQGs | 2010 UK AQSs |
|---|---|---|---|---|
| PM2.5, µg/m³ | Annual | 10 | 5 | 20 |
| 24-hour | 25 | 15 | - | |
| PM10, µg/m³ | Annual | 20 | 15 | 40 |
| 24-houra | 50 | 45 | 50 | |
| O3, µg/m³ | Peak season | - | 60 | - |
| 8-hour | 100 | 100 | 100 | |
| NO2, µg/m³ | Annual | 40 | 10 | 40 |
| 24-hour | - | 25 | 200 | |
| SO2, µg/m³ | 24-hour | 20 | 40 | 125 |
| CO2, µg/m³ | 24-hour | - | 4 | - |
| Socio-dem characteristic | Percentage |
|---|---|
| Gender | |
| Male | 42.9 |
| Female | 53.8 |
| Prefer not say | 1.4 |
| Non-binary | 1.9 |
| Age | |
| 18-24 | 12.4 |
| 25-34 | 9.5 |
| 35-44 | 14.3 |
| 45-54 | 21.4 |
| 55-64 | 21.4 |
| 65+ | 21.0 |
| Connection with Kings Heath | |
| Current Resident | 63.8 |
| Past resident lived in KH | 5.2 |
| Live in neighboring area | 28.0 |
| Work | 1.0 |
| Visit | 1.0 |
| No Connection | 1.0 |
| Length of residence | |
| Less than 1 year | 2.2 |
| 1-5 years | 8.7 |
| 6-10 years | 8.7 |
| More than 10 years | 80.4 |
| Very negative |
Negative | Neutral | Positive | Very Positive |
|
|---|---|---|---|---|---|
| General sample | 35.7% | 24.8% | 8.1% | 10.5% | 21.0% |
| Gender* | |||||
| Male | 37.8% | 13.3% | 6.7% | 12.2% | 30.0% |
| Female | 34.5% | 34.5% | 9.7% | 8.8% | 12.4% |
| Prefer not to say | 0.0% | 0.0% | 0.0% | 33.3% | 66.7% |
| Non-binary | 50.0% | 25.0% | 0.0% | 0.0% | 25.0% |
| Age groups | |||||
| 18-24 | 23.1% | 46.2% | 15.4% | 7.7% | 7.7% |
| 25-34 | 40.0% | 20.0% | 5.0% | 10.0% | 25.0% |
| 35-44 | 16.7% | 30.0% | 10.0% | 16.7% | 26.7% |
| 45-54 | 31.1% | 26.7% | 2.2% | 11.1% | 28.9% |
| 55-64 | 44.4% | 17.8% | 13.3% | 8.9% | 15.6% |
| 65+ | 50.0% | 15.9% | 4.5% | 9.1% | 20.5% |
| Percentage of reduction | Negative | Neutral | Positive | Total |
| 0-20 | 9.4% | 35.3% | 65.2% | 29.0% |
| 20-40 | 11.0% | 35.3% | 4.5% | 11.0% |
| 40-60 | 21.3% | 0.0% | 9.1% | 15.7% |
| 60-80 | 4.7% | 0.0% | 1.5% | 3.3% |
| 80-100 | 10.2% | 0.0% | 0.0% | 6.2% |
| None | 14.2% | 0.0% | 0.0% | 8.6% |
| N/A* | 29.1% | 29.4% | 19.7% | 26.2% |
| Average | 48.74 | 27.50 | 11.26 | 32.37 |
| St Dev | 27.18 | 21.05 | 17.47 | 23.99 |
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