Integrating meteorological factors for better understanding of the urban form-air quality relationship

Tian, Ye; Yao, Xiaobai; Mu, Lan; Fan, Qinjin; Liu, Yijun

doi:10.1007/s10980-020-01094-6

Cited by 21 publications

(18 citation statements)

References 77 publications

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“…Both variables were defined at the city level given that they may affect the transportation behaviors of all residents regardless of what part of the city they live in. Fragmentation of urban development for the city was measured using patch density (Fan and Fan 2014;He et al 2020;Ji et al 2006;McGarigal et al 2012;Tan et al 2005;Tian et al 2020;Zhang et al 2017). An urban patch is an area of uninterrupted development, such as the area created by contiguous buildings, streets, and parking areas.…”

Section: Exposuresmentioning

confidence: 99%

Associations of Urban Environment Features with Hypertension and Blood Pressure across 230 Latin American Cities

Ávila-Palència

Rodrı́guez

Miranda

et al. 2022

Environ Health Perspect

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BACKGROUND: Features of the urban physical environment may be linked to the development of high blood pressure, a leading risk factor for global burden of disease. OBJECTIVES: We examined associations of urban physical environment features with hypertension and blood pressure measures in adults across 230 Latin American cities. METHODS: In this cross-sectional study we used health, social, and built environment data from the SALud URBana en América Latina (SALURBAL) project. The individual-level outcomes were hypertension and levels of systolic and diastolic blood pressure. The exposures were city and subcity built environment features, mass transit infrastructure, and green space. Odds ratios (ORs) and mean differences and 95% confidence intervals (CIs) were estimated using multilevel logistic and linear regression models, with single-and multiple-exposure models adjusted for individual-level age, sex, education, and subcity educational attainment. RESULTS: A total of 109,176 participants from 230 cities and eight countries were included in the hypertension analyses and 50,228 participants from 194 cities and seven countries were included in the blood pressure measures analyses. Participants were 18-97 years of age. In multiple-exposure models, higher city fragmentation was associated with higher odds of having hypertension (OR per standard deviation ðSDÞ increase = 1:11; 95% CI: 1.01, 1.21); presence (vs. no presence) of mass transit in the city was associated with higher odds of having hypertension (OR = 1:30; 95% CI: 1.09, 1.54); higher subcity population density was associated with lower odds of having hypertension (OR per SD increase = 0:90; 95% CI: 0.85, 0.94); and higher subcity intersection density was associated with higher odds of having hypertension [OR per SD increase = 1:09; 95% CI: 1.04, 1.15). The presence of mass transit was also associated with slightly higher systolic and diastolic blood pressure in multiple-exposure models adjusted for treatment. Except for the association between intersection density and hypertension, associations were attenuated after adjustment for country. An inverse association of greenness with continuous blood pressure emerged after country adjustment. DISCUSSION: Our results suggest that urban physical environment features-such as fragmentation, mass transit, population density, and intersection density-may be related to hypertension in Latin American cities. Reducing chronic disease risks in the growing urban areas of Latin America may require attention to integrated management of urban design and transport planning.

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Section: Exposuresmentioning

confidence: 99%

Associations of Urban Environment Features with Hypertension and Blood Pressure across 230 Latin American Cities

Ávila-Palència

Rodrı́guez

Miranda

et al. 2022

Environ Health Perspect

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“…However, they relied on the linear assumption to construct the model. Besides, Tian et al. (2020) found the urban form-air quality relationship proves to be nonlinear.…”

Section: Introductionmentioning

confidence: 99%

Urban form, traffic volume, and air quality: A spatiotemporal stratified approach

Tian

Yao

2021

Environment and Planning B: Urban Analytics and City Science

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Understanding the interplay between urban form, traffic volume, and air quality is significant for urban planning and environmental sustainability. However, limited progress has been made in bringing effective urban planning strategies to help control traffic demand and resulting air pollutants. Therefore, this study aims to investigate the interrelation between urban form, traffic volume, and air quality with a spatiotemporal stratified method. The method extracts and preprocesses traffic volume data in spatial (polluted and unpolluted zones) and temporal (periods in holidays and workdays) dimensions. Three decision tree models (random forest, random tree, M5 model tree) and two comparison models (multiple linear regression, artificial neural network) are used to examine the relationships. The final results show that the spatiotemporal stratification approach effectively reveals the interrelations, and the random forest model outperforms the other models. Specifically, highly aggregated roads and industrial areas are more associated with traffic volume in polluted zones. The dominance of waterway and vegetation shows a strong association with traffic volume in unpolluted zones. The degree of association also varies significantly between workdays and holidays. Our spatiotemporal stratified approach reveals heterogeneous relationships between urban form, traffic volume, and air quality and provides insightful references on sustainable urban development.

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“…e reasons for choosing the random forest model in this study were as follows: (1) Studies have shown that the relationship between urban development, land resource allocation, and sustainability factors such as air quality, carbon emissions, and environmental pollution is nonlinear. Due to the antioverfitting and antinoise capabilities, the random forest model is widely used in the study of nonlinear problems [64][65][66][67][68][69][70]. (2) e construction decision-making process of local governments in urbanization is similar to decision trees in random forests.…”

Section: Machine Learning Method-random Forestmentioning

confidence: 99%

Using a Random Forest Model to Study the Impact of Local Government‐Led Urbanization on Urban Sustainable Development

Peng

2022

Journal of Environmental and Public Health

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Urbanization has accelerated China’s economic growth, but it has also brought many sustainability issues. This paper selected a random forest model to study the impact of local government-led urbanization on urban sustainable development. Urbanization affected urban sustainable development through government revenue expansion, land resources mismatch, and industrial structure adjustment. The results showed that the adjustment of industrial structure has the greatest impact on urban sustainable development, and the importance of the average output of industrial enterprises confirms it. Government revenue expansion and land resources mismatch are more important to the sustainable development of representative urban agglomerations. The goodness of fit of the random forest model is better than the multiple linear regression (MLR) model and the extreme gradient boosting (XGBoost) model. The generalization ability of the model is improved with the optimization of variables. The main contribution of this paper is that we have established a complete information dynamic game model on government revenue expansion, land resource mismatch, industrial structure adjustment, and urban sustainable development. And the random forest model is used to study the relationship between the above variables.

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Integrating meteorological factors for better understanding of the urban form-air quality relationship

Cited by 21 publications

References 77 publications

Associations of Urban Environment Features with Hypertension and Blood Pressure across 230 Latin American Cities

Associations of Urban Environment Features with Hypertension and Blood Pressure across 230 Latin American Cities

Urban form, traffic volume, and air quality: A spatiotemporal stratified approach

Using a Random Forest Model to Study the Impact of Local Government‐Led Urbanization on Urban Sustainable Development

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