Health and Environmental Co-Benefits of City Urban Form in Latin America: An Ecological Study

被引:7
|
作者
Avila-Palencia, Ione [1 ,2 ]
Sanchez, Brisa N. [3 ]
Rodriguez, Daniel A. [4 ,5 ]
Perez-Ferrer, Carolina [6 ]
Jaime Miranda, J. [7 ,8 ]
Gouveia, Nelson [9 ]
Bilal, Usama [2 ,3 ]
Useche, Andres F. [10 ]
Wilches-Mogollon, Maria A. [10 ]
Moore, Kari [2 ]
Sarmiento, Olga L. [11 ]
Roux, Ana V. Diez [2 ]
机构
[1] Queens Univ Belfast, Ctr Publ Hlth, Sch Med Dent & Biomed Sci, Belfast BT12 6BA, Antrim, North Ireland
[2] Drexel Univ, Dornsife Sch Publ Hlth, Urban Hlth Collaborat, Philadelphia, PA 19104 USA
[3] Drexel Univ, Dornsife Sch Publ Hlth, Dept Epidemiol & Biostat, Philadelphia, PA 19104 USA
[4] Univ Calif Berkeley, Dept City & Reg Planning, Berkeley, CA 94720 USA
[5] Univ Calif Berkeley, Inst Transportat Studies, Berkeley, CA 94720 USA
[6] CONACYT Natl Inst Publ Hlth, Cuernavaca 62100, Morelos, Mexico
[7] Univ Peruana Cayetano Heredia, CRONICAS Ctr Excellence Chron Dis, Lima 15074, Peru
[8] Univ Peruana Cayetano Heredia, Sch Med, Lima 15102, Peru
[9] Univ Sao Paulo, Med Sch, Dept Prevent Med, BR-01246903 Sao Paulo, Brazil
[10] Univ los Andes, Sch Engn, Dept Ind Engn, Bogota 111711, Colombia
[11] Univ los Andes, Sch Med, Bogota 111711, Colombia
基金
英国惠康基金; 美国国家卫生研究院;
关键词
cities; Latin America; population density; air pollution; green space; risk factors; co-benefits; SPRAWL;
D O I
10.3390/su142214715
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
We investigated the association of urban landscape profiles with health and environmental outcomes, and whether those profiles are linked to environmental and health co-benefits. In this ecological study, we used data from 208 cities in 8 Latin American countries of the SALud URBana en America Latina (SALURBAL) project. Four urban landscape profiles were defined with metrics for the fragmentation, isolation, and shape of patches (contiguous area of urban development). Four environmental measures (lack of greenness, PM2.5, NO2, and carbon footprint), two cause-specific mortality rates (non-communicable diseases and unintentional injury mortality), and prevalence of three risk factors (hypertension, diabetes, and obesity) for adults were used as the main outcomes. We used linear regression models to evaluate the association of urban landscape profiles with environmental and health outcomes. In addition, we used finite mixture modeling to create co-benefit classes. Cities with the scattered pixels profile (low fragmentation, high isolation, and compact shaped patches) were most likely to have positive co-benefits. Profiles described as proximate stones (moderate fragmentation, moderate isolation, and irregular shape) and proximate inkblots (moderate-high fragmentation, moderate isolation, and complex shape) were most likely to have negative co-benefits. The contiguous large inkblots profile (low fragmentation, low isolation, and complex shape) was most likely to have mixed benefits.
引用
收藏
页数:14
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