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      Spatial Analysis of Built Environment Risk for Respiratory Health and Its Implication for Urban Planning: A Case Study of Shanghai

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          Abstract

          Urban planning has been proven and is expected to promote public health by improving the built environment. With a focus on respiratory health, this paper explores the impact of the built environment on the incidence of lung cancer and its planning implications. While the occurrence of lung cancer is a complicated and cumulative process, it would be valuable to discover the potential risks of the built environment. Based on the data of 52,009 lung cancer cases in Shanghai, China from 2009 to 2013, this paper adopts spatial analytical methods to unravel the spatial distribution of lung cancer cases. With the assistance of geographic information system and Geo-Detector, this paper identifies certain built environments that are correlated with the distribution pattern of lung cancer cases in Shanghai, including the percentage of industrial land (which explains 28% of the cases), location factors (11%), and the percentages of cultivated land and green space (6% and 5%, respectively). Based on the quantitative study, this paper facilitates additional consideration and planning intervention measures for respiratory health such as green buffering. It is an ecological study to illustrate correlation that provides approaches for further study to unravel the causality of disease incidence and the built environment.

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          Geographical Detectors‐Based Health Risk Assessment and its Application in the Neural Tube Defects Study of the Heshun Region, China

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            City planning and population health: a global challenge

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              A measure of spatial stratified heterogeneity

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                Author and article information

                Journal
                Int J Environ Res Public Health
                Int J Environ Res Public Health
                ijerph
                International Journal of Environmental Research and Public Health
                MDPI
                1661-7827
                1660-4601
                24 April 2019
                April 2019
                : 16
                : 8
                : 1455
                Affiliations
                [1 ]College of Architecture and Urban Planning, Tongji University, 1239 Siping Road, Shanghai 200092, China; 1630043@ 123456tongji.edu.cn (W.S.); 1730042@ 123456tongji.edu.cn (K.Z.)
                [2 ]Shanghai Center for Disease Prevention and Control, Shanghai 200336, China; zhangminlu@ 123456scdc.sh.cn
                Author notes
                [* ]Correspondence: wanglan@ 123456tongji.edu.cn (L.W.); baopingping@ 123456scdc.sh.cn (P.B.); Tel.: +86-139-1673-8782 (L.W.)
                Article
                ijerph-16-01455
                10.3390/ijerph16081455
                6518356
                31022924
                750ea1e2-5a02-4ec4-9dfa-f91dd660e57e
                © 2019 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 17 February 2019
                : 20 April 2019
                Categories
                Article

                Public health
                built environment,respiratory health,spatial analysis,geographical detector,urban planning

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