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

Lan Wang, Wenyao Sun, Kaichen Zhou, Minlu Zhang and Pingping Bao
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Lan Wang: College of Architecture and Urban Planning, Tongji University, 1239 Siping Road, Shanghai 200092, China
Wenyao Sun: College of Architecture and Urban Planning, Tongji University, 1239 Siping Road, Shanghai 200092, China
Kaichen Zhou: College of Architecture and Urban Planning, Tongji University, 1239 Siping Road, Shanghai 200092, China
Minlu Zhang: Shanghai Center for Disease Prevention and Control, Shanghai 200336, China
Pingping Bao: Shanghai Center for Disease Prevention and Control, Shanghai 200336, China

IJERPH, 2019, vol. 16, issue 8, 1-16

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.

Keywords: built environment; respiratory health; spatial analysis; geographical detector; urban planning (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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