Estimating Canadiansʼ Exposure to PM2.5 and NO2 Using National Land Use Regression Models: Implications of Scale and Population Location Measures

Cervantes-Larios, Alejandro; Hystad, Perry; Setton, Eleanor; Poplawski, Karla; Deschenes, Steeve; Demers, Paul A.

doi:10.1097/01.ede.0000391992.56237.a3

Cited by 2 publications

(1 citation statement)

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“…Meanwhile, statistical linear regression has often been employed to examine the correlation result between population density and ancillary data to verify the result of dasymetric mapping [17,22]. Especially, in many related air pollution studies [23][24][25], dasymetric mapping for regression between land use and observed air quality data, known as land use regression (LUR), is used to identify the connection between variables and the associated land uses.…”

Section: Introductionmentioning

confidence: 99%

Exploring Urban Spatial Feature with Dasymetric Mapping Based on Mobile Phone Data and LUR-2SFCAe Method

Liu

Peng

et al. 2018

Sustainability

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Dasymetric mapping of high-resolution population facilitates the exploration of urban spatial feature. While most relevant studies are still challenged by weak spatial heterogeneity of ancillary data and quality of traditional census data, usually outdated, costly and inaccurate, this paper focuses on mobile phone data, which can be real-time and precise, and also strengthens spatial heterogeneity by its massive mobile phone base stations. However, user population recorded by mobile phone base stations have no fixed spatial boundary, and base stations often disperse in extremely uneven spatial distribution, this study defines a distance-decay supply–demand relation between mobile phone user population of gridded base station and its surrounding land patches, and outlines a dasymetric mapping method integrating two-step floating catchment area method (2SFCAe) and land use regression (LUR). The results indicate that LUR-2SFCAe method shows a high fitness of regression, provides population mapping at a finer scale and helps identify urban centrality and employment subcenters with detailed worktime and non-worktime populations. The work involving studies of dasymetric mapping based on LUR-2SFCAe method and mobile phone data proves to be encouraging, sheds light on the relationship between mobile phone users and nearby land use, brings about an integrated exploration of 2SFCAe in LUR with distance-decay effect and enhances spatial heterogeneity.

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