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. To provide long-term air pollutant exposure estimates forepidemiological studies, it is essential to test the feasibility ofdeveloping land-use regression (LUR) models using only routine air qualitymeasurement data and to evaluate the transferability of LUR models betweennearby cities. In this study, we developed and evaluated the intercitytransferability of annual-average LUR models for ambient respirablesuspended particulates (PM 10 ), fine suspended particulates(PM 2.5 ), nitrogen dioxide (NO 2 ) and ozone (O 3 ) in theTaipei–Keelung metropolitan area of northern Taiwan in 2019. AmbientPM 10 , PM 2.5 , NO 2 and O 3 measurements at 30 fixed-sitestations were used as the dependent variables, and a total of 156 potentialpredictor variables in six categories (i.e., population density, roadnetwork, land-use type, normalized difference vegetation index, meteorologyand elevation) were extracted using buffer spatial analysis. The LUR modelswere developed using the supervised forward linear regression approach. TheLUR models for ambient PM 10 , PM 2.5 , NO 2 and O 3 achievedrelatively high prediction performance, with R2 values of >  0.72 and leave-one-out cross-validation (LOOCV) R2 values of >  0.53. The intercity transferability of LUR models varied amongthe air pollutants, with transfer-predictive R2 values of >  0.62 for NO 2 and  0.56 for the other three pollutants. TheLUR-model-based 500 m  ×  500 m spatial-distribution maps of theseair pollutants illustrated pollution hot spots and the heterogeneity ofpopulation exposure, which provide valuable information for policymakers indesigning effective air pollution control strategies. The LUR-model-basedair pollution exposure estimates captured the spatial variability inexposure for participants in a cohort study. This study highlights that LURmodels can be reasonably established upon a routine monitoring network, butthere exist uncertainties when transferring LUR models between nearbycities. To the best of our knowledge, this study is the first to evaluatethe intercity transferability of LUR models in Asia.

atmospheric chemistry and physics

Development and intercity transferability of land-use regression models for predicting ambient PM&amp;lt;sub&amp;gt;10&amp;lt;/sub&amp;gt;, PM&amp;lt;sub&amp;gt;2.5&amp;lt;/sub&amp;gt;, NO&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt; and O&amp;lt;sub&amp;gt;3&amp;lt;/sub&amp;gt; concentrations in northern Taiwan