Planning for Sustainable Green Urbanism: An Empirical Bottom-Up (Community-Led) Perspective on Green Infrastructure (GI) Indicators in Khyber Pakhtunkhwa (KP), Pakistan
Abstract
:1. Introduction
1.1. Establishing a Niche: Climate Change Impacts
1.2. PP for UGI and UGS
1.3. Study Aim and Research Questions
- i.
- What is the level of the local community’s understanding of Climate Change and UGI?
- ii.
- Which essential UGS elements strengthen the resilience of (sustainable) UGI indicators?
- iii.
- What type of UGI-indicator-based model contributes to building a green climate-resilient city-state?
2. Research Methodology
2.1. Study Area, Sampling Technique, and Survey Design
2.2. Data Analysis and Survey Reliability
3. Results and Findings
3.1. Section A: Understanding the Local Perspective
3.2. Section B: RII of Sustainable Indicators and UGS Elements for UGI Indicators
3.2.1. Determine the RII of Sustainable UGI Indicators
3.2.2. (a) RII Values of UGS Elements with Regards to UGI Indicators
3.2.3. (b) Identifying the Key UGS Elements
Categories | Urban Green Infrastructure Indicators | Interquartile Range (IQR) Methdology | Cut-Off Point. | Approved Number of UGS Elements (RII ≥ 0.70) | Approved Urban Green Space (UGS) Elements | |||
---|---|---|---|---|---|---|---|---|
Q1 | Q3 | IQR = (Q3-Q1) (Median) | Mean | |||||
Ecological | “Optimize storm water management”. | |||||||
i. “Increasing pervious surfaces”. | 0.61 | 0.76 | 0.72 | 0.70 | 0.70 | 6 | CG; BG; UP; FO; RG; WL | |
ii. “Minimize, retain and organically-purified rainwater runoff”. | 0.67 | 0.82 | 0.71 | 0.70 | 0.70 | 6 | FO; GS; RG; GPA; WL; GRW. | |
“Decreasing the impact of urban heat islands”. | ||||||||
iii. “Enhanced the quantity of the green spaces”. | 0.59 | 0.72 | 0.66 | 0.70 | 0.70 | 4 | CG; BG; UP; FO. | |
iv. “Use of evaporative materials on the roofs, walls and floors”. | 0.66 | 0.85 | 0.75 | 0.70 | 0.70 | 6 | UP;FO;RG:GPA;WL; GRW | |
“Enhancing air quality (e.g., extracting impurities)”. | ||||||||
v. “Growing more green trees and installing a green barrier in a roadway”. | 0.60 | 0.69 | 0.67 | 0.70 | 0.70 | 6 | CG; BG; UP; FO; GS; GRW. | |
“Enhancing noise quality”. | ||||||||
vi. “Use a green sonic wall to reduce the minimum and maximum noise pollution. (i.e., thick hedges could be provided with a small meadow for minimum noise and for maximum noise reduction wide layers of bamboo and deciduous trees could be provided)”. | 0.64 | 0.75 | 0.70 | 0.70 | 0.70 | 2 | FO; UP. | |
“Lower emissions of carbon (e.g., elimination of greenhouse gas emissions through greenery)” | ||||||||
vii. “Grow greater density of trees as shading and evaporating fabric for the paved surfaces”. | 0.64 | 0.75 | 0.70 | 0.70 | 0.70 | 5 | CG; BG; UP; FO; GS. | |
“Enhancing building energy performance”. | ||||||||
viii. “Promote green energy-saving strategies”. | 0.52 | 0.64 | 0.60 | 0.70 | 0.70 | 1 | GRW | |
“Improved soil fertility and degradation condition”. | ||||||||
ix. “Increase previous areas and plant trees to enhance soil stabilization”. | 0.64 | 0.74 | 0.70 | 0.70 | 0.70 | 6 | CG; BG; UP; FO; WL; HO. | |
“Improved and safeguard urban ecology”. | ||||||||
x. “Improve and strengthen the urban green network connectivity”. | 0.66 | 0.74 | 0.70 | 0.70 | 0.70 | 6 | CG; BG; UP; FO; WL; HO. | |
Socio- cultural | i. “Agri-production (e.g., home gardening; urban farming; and community farming)”. | 0.47 | 0.74 | 0.61 | 0.70 | 0.70 | 3 | CP; FO; HO. |
“Enhancing social wellness” | ||||||||
ii. “Optimizing the recreation, and socialization activities”. | 0.68 | 0.80 | 0.73 | 0.70 | 0.70 | 6 | CG; BG; UP; FO; GS; GRW | |
iii. “Improved city’s appeal (through various green elements)”. | 0.74 | 0.79 | 0.76 | 0.70 | 0.70 | 9 | CG; BG; UP; FO; GS; RG; GRW; WL; HO. | |
iv. “Enhancing the mental and physical health (e.g., visual and physical exposure to open green areas has a beneficial effect on stress and anxiety reduction)”. | 0.63 | 0.78 | 0.75 | 0.70 | 0.70 | 6 | CG; BG; UP; FO; GR; WL | |
v. “Provide ecological areas for research & education”. | 0.67 | 0.76 | 0.72 | 0.70 | 0.70 | 6 | CG; BG; FO; WL; GRW; HO | |
vi. “Enhance connectivity of green areas to promote walking & biking opportunities”. | 0.56 | 0.78 | 0.70 | 0.70 | 0.70 | 5 | BG; FO; UP; GS; WL. | |
Economic indicators | i. “Enhanced the value of property”. | 0.58 | 0.74 | 0.72 | 0.70 | 0.70 | 6 | CG; BG; UP; GS; GRW; HO. |
ii. “Minimize healthcare expense”. | 0.67 | 0.79 | 0.72 | 0.70 | 0.70 | 6 | CG; BG; UP; FO; GS; GRW. | |
iii. “Decrease energy use (e.g., heating & cooling requirements)”. | 0.57 | 0.74 | 0.67 | 0.70 | 0.70 | 3 | FO; UP; GRWl. | |
iv. “Minimize the risk of flood disasters”. | 0.66 | 0.74 | 0.72 | 0.70 | 0.70 | 7 | CG; BG; UP; FO; GS; RG; WL. | |
v. “Decreasing the utilization of private cars by encouraging walking and biking opportunities (i.e., changing modes of transportation)”. | 0.53 | 0.78 | 0.69 | 0.70 | 0.70 | 5 | BG; FO; UP; GS; WL. | |
vi. “Value of eliminating of air pollutants”. | 0.65 | 0.78 | 0.74 | 0.70 | 0.70 | 6 | CG; BG; UP; FO; GS; GRW. |
4. Discussion
5. Conclusions
Policy Implications
- (1).
- Increase awareness and understanding among all the native inhabitants toward a better understanding of UGI planning, a sustainable, cost-efficient, and innovative nature-based climate adaptation strategy for spongy green cities.
- (2).
- A need to develop an inclusive policy that supports community participation at all levels, which will then promote community ownership and further strengthens the planning process for UGS.
- (3).
- Balanced, proactive planning reforms are essential that encourage collaborations among the decision-makers and the local community. It should be linked with bridging the planning gap and improving the scientific knowledge regarding green initiatives, extending from policy making to decision making and implementation for greener growth.
- (4).
- Considering the UGI planning examples of the Netherlands and Germany, there is a high need to incentivize green grass-root initiatives that would foster eco-friendly living practices and local stewardship of green practices to build a sustainable environment.
6. Scope of Future Research
- (1).
- Further research can be conducted to study the relationship of the same (and additional) variables across socio-demographic groups to design micro-level urban greening policies.
- (2).
- The social dimension of the sustainable urban landscape and greening policies (ULGP) and frameworks at the macro, micro, and meso levels needs to be investigated that can help build a new cultural paradigm to support and monitor green urbanism.
- (3).
- The scalability of urban green space (UGS) elements must coincide with the magnitude of the climate hazards, knowing the appropriate green)/natural-based climate mitigation and adaptation measures to plan safer, healthier, and climate-resilient urban regions.
- (4).
- In studying and analyzing green spaces, it would be interesting to consider different species of green roofs in different climates. It will help to better understand the potential role of green roofs in reducing climatic stress and improving the ecosystems functions (ESF) and health/well-being of inhabitants. Green roofs are becoming increasingly popular, especially in high-density urban clusters, where open spaces are limited. It is easy to implement and monitor, and they offer similar benefits as traditional green spaces.
- (5).
- Pandemics (such as COVID-19) though pose less stress and do not degrade the UGI indicator more exclusively; however, this aspect needs to be further explored. There is a need to develop institutional and political indicators, and their potential role in NBGI infrastructure planning to address SCRM should be investigated.
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
Appendix A. Development of Conceptual Base Frameworks
Appendix B
Mitigation of climate change | Adaptation to climate change | Water management |
Green space networks | Ecosystem functions and services | Wildlife and biodiversity |
Urban resilience | Organic food production | Energy-efficient building |
Social cohesion/unity | A green economy |
Appendix C
- “In section b three-point Likert scale was updated into a five-point, and in Section C five-point Likert scale was transformed into a nine-point, aimed to achieve more variability among the respondent inputs and precision in the results”.
- “To mitigate the ambiguity among the participant’s feedback, certain queries of section c were also re-phrased”.
Appendix D
- “What does climate change mean for you?”
- “What does adaptation to climate change mean for you?”
- “What does urban resilience mean for you?”
- “What does green infrastructure mean for you?”
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District | Tehsil | Town | Population | Geographic Data | Climate | Precipitation (mm) (1999–2018) |
---|---|---|---|---|---|---|
Mardan | Mardan Tehsil | 1,403,394 | 34.2883° N, 72.1890° E | Humid subtropical | 400.3 | |
Katlang Tehsil | 343,144 | 34.3521° N, 72.0764° E | ||||
Takht Bhai Tehsil | 626,523 | 34.3314° N, 71.9046° E | ||||
Charsadda | Charsadda Tehsil | 804,194 | 34.2165° N, 71.7148° E | |||
Shabqadar Tehsil | 383,765 | 34.2186° N, 71.5546° E | ||||
Tangi Tehsil | 428,239 | 34.3040° N, 71.6555° E | ||||
Peshawar | Peshawar Tehsil ([71]) | Town 1 | 759,595 | 33.9437° N, 71.6199° E | 546.075 | |
Town 2 | 547,807 | |||||
Town 3 | 821,059 | |||||
Town 4 | 435,940 | |||||
Peshawar cant. | 70,741 |
District | Tehsil (Selection Grounded on a High Urban Population) | Tehsil Population | Union Council Population (Selection Grounded on a High Urban Population with the Integration of the Interquartile Range Technique (IQR) | Total No of Sample Population (with 95 CI and + 5 MoE) | Average HH Size No (Source: KP Bureau of Statistics) | No of HHs Sample 399.6/6.2 399.5/7 339.7/5.6 |
---|---|---|---|---|---|---|
Mardan | Mardan | 1,403,394 | 411,148 | 399.6 | 6.2 | 64 |
Charsadda | Charsadda | 804,194 | 350,483 | 399.5 | 7 | 57 |
Peshawar | Town3 | 821,059 | 575,409 | 399.7 | 5.6 | 71 |
Socio-Demographics | Total Participants | Ratio |
---|---|---|
Gender-specific | ||
Male | 126 | 65.6 |
Female | 43 | 22.4 |
Diverse (the government of Pakistan recognizes the identification of “trans” as a third gender [80,81,82]) | 0 | 0 |
Prefer not to say | 23 | 12 |
Location | ||
Charsadda | 56 | 29.1 |
Mardan | 46 | 24 |
Peshawar | 67 | 34.9 |
Not mention | 23 | 12 |
Literacy | ||
No education to elementary | 0 | 0 |
Secondary education (SSC) | 14 | 7.3 |
Intermediate | 37 | 19.3 |
Higher education | 141 | 73.4 |
Other (informal) | 5 | 2.6 |
Age | ||
15–20 years | 0 | 0 |
20–30 years | 66 | 34.4 |
30–40 years | 84 | 43.8 |
40–50 years | 42 | 21.9 |
50–60 years | 14 | 7.3 |
1 | Extremely unimportant | (e-unimp) | (0 ≤ RI < 0.2) |
2 | Moderately unimportant | (m-unimp) | (0.2 ≤ RI < 0.3) |
3 | Slightly unimportant | (s-unimp) | (0.3 ≤ RI < 0.4) |
4 | Unimportant | (unimp) | (0.4 ≤ RI < 0.5) |
5 | Low | (l) | (0.5 ≤ RI < 0.6) |
6 | Slightly important | (s-imp) | (0.6 ≤ RI < 0.7) |
7 | Moderately important | (m-imp) | (0.7 ≤ RI < 0.8) |
8 | Important | (imp) | (0.8 ≤ RI < 0.9) |
9 | Extremely important | (e-imp) | (0.9 ≤ RI ≤1) |
RII = ΣW/(N × A) … (1) |
W = Likert scale weights: assigned by participants to each indicator (1 to 9). |
N = Total number of samples |
A = The highest value on a Likert scale. |
RII = (9 × 93) + (8 × 42) + (7 × 21) + (6 × 18) + (5 × 8) + (−4 × 3) + (−3 × 3) + (−2 × 2) + (−1 × 2)/(192 × 9) = 0.834 |
(as rated by a community member) |
Categories | Urban Green Infrastructure Indicators | Particpants (n) | Overall Weight | Relative Index RII = ΣW/(N × A) | Cut-Off Point. | Approved UGI Indicators (RII ≥ 0.80) | Rank Order Based on RII Value | Level of Signifance (9-Point Scale Criterion) |
---|---|---|---|---|---|---|---|---|
Interquartile Range Technique (IQR) | ||||||||
Ecological | “Optimize storm water management” | |||||||
i. “Increasing pervious surfaces” | 192 | 1441 | 0.834 | 0.80 | yes | 9 | 8 | |
ii. “Minimize, retain and organically purified rainwater runoff”. | 192 | 1364 | 0.789 | 0.80 | no | 14 | 7 | |
“Decreasing the impact of urban heat islands” | ||||||||
iii. “Enhanced the quantity of the green spaces”. | 192 | 1517 | 0.878 | 0.80 | yes | 3 | 8 | |
iv. “Use of evaporative materials on the roofs, walls and floors”. | 192 | 1287 | 0.745 | 0.80 | no | 19 | 7 | |
“Enhancing air quality (e.g., extracting impurities)”. | ||||||||
v. “Growing more green trees and installing a green barrier in a roadway”. | 192 | 1339 | 0.775 | 0.80 | no | 16 | 7 | |
“Enhancing noise quality”. | ||||||||
vi. “Use a green sonic wall to reduce the minimum and maximum noise pollution. (i.e., thick hedges could be provided with a small meadow for minimum noise and for maximum noise reduction wide layers of bamboo and deciduous trees could be provided)”. | 192 | 1347 | 0.780 | 0.80 | no | 15 | 7 | |
“Lower emissions of carbon (e.g., elimination of greenhouse gas emissions through greenery)” | ||||||||
vii. “Grow greater density of trees as shading and evaporating fabric for the paved surfaces”. | 192 | 1513 | 0.876 | 0.80 | yes | 4 | 8 | |
“Enhancing building energy performance”. | ||||||||
viii. “Promote green energy-saving strategies”. | 192 | 1581 | 0.915 | 0.80 | yes | 1 | 9 | |
“Improved soil fertility and degradation condition”. | ||||||||
ix. “Increase previous areas and plant trees to enhance soil stabilization”. | 192 | 1473 | 0.852 | 0.80 | yes | 6 | 8 | |
“Improved and safeguard urban ecology”. | ||||||||
x. “Improve and strengthen the urban green network connectivity”. | 190 | 1430 | 0.836 | 0.80 | yes | 8 | 8 | |
Socio- cultural | i. “Agri-production (e.g., home gardening; urban farming; and community farming)”. | 192 | 1411 | 0.817 | 0.80 | yes | 10 | 8 |
“Enhancing social wellness”. | ||||||||
ii. “Optimizing the recreation, and socialization activities”. | 192 | 1402 | 0.811 | 0.80 | yes | 11 | 8 | |
iii. “Improved city’s appeal (through various green elements)”. | 192 | 1275 | 0.738 | 0.80 | no | 21 | 7 | |
iv. “Enhancing the mental and physical health (e.g., visual and physical exposure to open green areas has a beneficial effect on stress and anxiety reduction)”. | 192 | 1509 | 0.873 | 0.80 | yes | 5 | 8 | |
v. “Provide ecological areas for research & education”. | 192 | 1304 | 0.755 | 0.80 | no | 18 | 7 | |
vi. “Enhance connectivity of green areas to promote walking & biking opportunities”. | 192 | 1287 | 0.745 | 0.80 | no | 19 | 7 | |
Economic indicators | i. “Enhanced the value of property”. | 192 | 1244 | 0.720 | 0.80 | no | 22 | 7 |
ii. “Minimize healthcare expense”. | 192 | 1369 | 0.792 | 0.80 | no | 13 | 7 | |
iii. “Decrease energy use (e.g., heating & cooling requirements)”. | 192 | 1448 | 0.838 | 0.80 | yes | 7 | 8 | |
iv. “Minimize the risk of flood disasters”. | 192 | 1544 | 0.894 | 0.80 | yes | 2 | 8 | |
v. “Decreasing the utilization of private cars by encouraging walking and biking opportunities (i.e., changing modes of transportation)”. | 192 | 1377 | 0.797 | 0.80 | no | 12 | 7 | |
vi. “Value of eliminating of air pollutants”. | 192 | 1331 | 0.770 | 0.80 | no | 17 | 7 |
Categories | Urban Green Infrastructure Indicators | Relative Index (RII) of UGS Elements RII = ΣW/(N × A) | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Community Garden | Botanical Garden | Urban Park | Forest | Green Streets | Rain Garden & Bio-swale | Green & Permeable Parking Area | Wetland | Green Roof & Green Wall | Horticultural | ||
Ecological | “Optimize storm water management”. | ||||||||||
i. “Increasing pervious surfaces”. | 0.71 | 0.72 | 0.75 | 0.88 | 0.63 | 0.76 | 0.6 | 0.81 | 0.56 | 0.59 | |
ii. “Minimize, retain and organically-purified rainwater runoff”. | 0.66 | 0.69 | 0.65 | 0.82 | 0.81 | 0.91 | 0.71 | 0.92 | 0.7 | 0.65 | |
“Decreasing the impact of urban heat islands”. | |||||||||||
iii. “Enhanced the quantity of the green spaces”. | 0.7 | 0.73 | 0.75 | 0.9 | 0.67 | 0.48 | 0.4 | 0.6 | 0.65 | 0.58 | |
iv. “Use of evaporative materials on the roofs, walls and floors”. | 0.65 | 0.69 | 0.76 | 0.86 | 0.63 | 0.91 | 0.82 | 0.94 | 0.73 | 0.53 | |
“Enhancing air quality (e.g., extracting impurities)”. | |||||||||||
v. “Growing more green trees and installing a green barrier in a roadway”. | 0.72 | 0.73 | 0.79 | 0.84 | 0.74 | 0.55 | 0.58 | 0.65 | 0.71 | 0.63 | |
“Enhancing noise quality”. | |||||||||||
vi. “Use a green sonic wall to reduce the minimum and maximum noise pollution. (i.e., thick hedges could be provided with a small meadow for minimum noise and for maximum noise reduction wide layers of bamboo and deciduous trees could be provided)”. | 0.69 | 0.69 | 0.74 | 0.91 | 0.69 | 0.42 | 0.37 | 0.6 | 0.64 | 0.61 | |
“Lower emissions of carbon (e.g., elimination of greenhouse gas emissions through greenery)” | |||||||||||
vii. “Grow greater density of trees as shading and evaporating fabric for the paved surfaces”. | 0.73 | 0.76 | 0.76 | 0.91 | 0.72 | 0.41 | 0.41 | 0.63 | 0.67 | 0.65 | |
“Enhancing building energy performance”. | |||||||||||
viii. “Promote green energy-saving strategies”. | 0.63 | 0.57 | 0.64 | 0.68 | 0.64 | 0.38 | 0.34 | 0.51 | 0.87 | 0.55 | |
“Improved soil fertility and degradation condition”. | |||||||||||
ix. ”Increase previous areas and plant trees to enhance soil stabilization”. | 0.73 | 0.77 | 0.74 | 0.89 | 0.66 | 0.63 | 0.53 | 0.70 | 0.60 | 0.70 | |
“Improved and safeguard urban ecology”. | |||||||||||
x. “Improve and strengthen the urban green network connectivity”. | 0.71 | 0.79 | 0.75 | 0.93 | 0.65 | 0.42 | 0.44 | 0.70 | 0.68 | 0.70 | |
Socio- cultural | i. “Agri-production (e.g., home gardening; urban farming; and community farming)”. | 0.87 | 0.66 | 0.61 | 0.76 | 0.53 | 0.35 | 0.30 | 0.45 | 0.61 | 0.82 |
“Enhancing social wellness” | |||||||||||
ii. “Optimizing the recreation, and socialization activities”. | 0.78 | 0.81 | 0.81 | 0.82 | 0.75 | 0.41 | 0.30 | 0.68 | 0.71 | 0.69 | |
iii. “Improved city’s appeal (through various green elements)”. | 0.75 | 0.78 | 0.82 | 0.85 | 0.79 | 0.70 | 0.69 | 0.77 | 0.75 | 0.74 | |
iv. “Enhancing the mental and physical health (e.g., visual and physical exposure to open green areas has a beneficial effect on stress and anxiety reduction)”. | 0.79 | 0.74 | 0.81 | 0.89 | 0.75 | 0.39 | 0.38 | 0.75 | 0.69 | 0.61 | |
v. “Provide ecological areas for research & education”. | 0.72 | 0.79 | 0.68 | 0.85 | 0.67 | 0.45 | 0.42 | 0.74 | 0.72 | 0.76 | |
vi. “Enhance connectivity of green areas to promote walking & biking opportunities”. | 0.69 | 0.76 | 0.83 | 0.89 | 0.78 | 0.35 | 0.35 | 0.71 | 0.55 | 0.58 | |
Economic indicators | i. “Enhanced the value of property”. | 0.74 | 0.74 | 0.85 | 0.63 | 0.74 | 0.51 | 0.52 | 0.56 | 0.82 | 0.70 |
ii. “Minimize healthcare expense”. | 0.82 | 0.77 | 0.80 | 0.88 | 0.73 | 0.42 | 0.34 | 0.67 | 0.70 | 0.68 | |
iii. “Decrease energy use (e.g., heating & cooling requirements)”. | 0.69 | 0.68 | 0.75 | 0.75 | 0.66 | 0.45 | 0.33 | 0.55 | 0.90 | 0.61 | |
iv. “Minimize the risk of flood disasters”. | 0.70 | 0.72 | 0.74 | 0.95 | 0.71 | 0.73 | 0.64 | 0.86 | 0.61 | 0.60 | |
v. “Decreasing the utilization of private cars by encouraging walking and biking opportunities (i.e., changing modes of transportation)”. | 0.66 | 0.73 | 0.80 | 0.84 | 0.79 | 0.42 | 0.44 | 0.71 | 0.53 | 0.53 | |
vi. “Value of eliminating of air pollutants”. | 0.72 | 0.78 | 0.79 | 0.92 | 0.75 | 0.43 | 0.45 | 0.64 | 0.76 | 0.69 |
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Rayan, M.; Gruehn, D.; Khayyam, U. Planning for Sustainable Green Urbanism: An Empirical Bottom-Up (Community-Led) Perspective on Green Infrastructure (GI) Indicators in Khyber Pakhtunkhwa (KP), Pakistan. Int. J. Environ. Res. Public Health 2022, 19, 11844. https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph191911844
Rayan M, Gruehn D, Khayyam U. Planning for Sustainable Green Urbanism: An Empirical Bottom-Up (Community-Led) Perspective on Green Infrastructure (GI) Indicators in Khyber Pakhtunkhwa (KP), Pakistan. International Journal of Environmental Research and Public Health. 2022; 19(19):11844. https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph191911844
Chicago/Turabian StyleRayan, Muhammad, Dietwald Gruehn, and Umer Khayyam. 2022. "Planning for Sustainable Green Urbanism: An Empirical Bottom-Up (Community-Led) Perspective on Green Infrastructure (GI) Indicators in Khyber Pakhtunkhwa (KP), Pakistan" International Journal of Environmental Research and Public Health 19, no. 19: 11844. https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph191911844