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Spatial Aspects of Mortality Rates and Neighborhood Environmental Characteristics in Seoul Mega City Region, South Korea

Spatial Aspects of Mortality Rates and Neighborhood Environmental Characteristics in Seoul Mega City Region, South Korea

Yoohyung Joo, Hee Yeon Lee
Copyright: © 2017 |Pages: 25
ISBN13: 9781522516743|ISBN10: 1522516743|EISBN13: 9781522516750
DOI: 10.4018/978-1-5225-1674-3.ch042
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MLA

Joo, Yoohyung, and Hee Yeon Lee. "Spatial Aspects of Mortality Rates and Neighborhood Environmental Characteristics in Seoul Mega City Region, South Korea." Public Health and Welfare: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, IGI Global, 2017, pp. 900-924. https://doi.org/10.4018/978-1-5225-1674-3.ch042

APA

Joo, Y. & Lee, H. Y. (2017). Spatial Aspects of Mortality Rates and Neighborhood Environmental Characteristics in Seoul Mega City Region, South Korea. In I. Management Association (Ed.), Public Health and Welfare: Concepts, Methodologies, Tools, and Applications (pp. 900-924). IGI Global. https://doi.org/10.4018/978-1-5225-1674-3.ch042

Chicago

Joo, Yoohyung, and Hee Yeon Lee. "Spatial Aspects of Mortality Rates and Neighborhood Environmental Characteristics in Seoul Mega City Region, South Korea." In Public Health and Welfare: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, 900-924. Hershey, PA: IGI Global, 2017. https://doi.org/10.4018/978-1-5225-1674-3.ch042

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Abstract

This study of the spatial patterns of standardized mortality rates (SMRs) in Seoul Mega City Region (SMCR) explores whether neighborhood characteristics affect mortality rates and identifies important determinants of spatial disparity in mortality rates in SMCR. Spatial patterns of mortality rates show a strong positive spatial autocorrelation, suggesting that mortality rates are spatially clustered. A spatial lag model and a GWR model were used to reflect the spatial aspect of mortality rates. The spatial lag model showed better model fitness by considering spatial dependence of mortality rates. It indicates that a higher level of residential deprivation, a less walkable environment, less economic affluence and less social participation are all associated with higher mortality rates with statistical significance. This study suggests that health and welfare policy could incorporate urban planning to consider the neighborhood factors which determine mortality rates in order to improve the health of neighborhood residents.

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