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. Author manuscript; available in PMC: 2021 Aug 18.
Published in final edited form as: Environ Sci Technol. 2018 May 25;52(12):6985–6995. doi: 10.1021/acs.est.8b00292

Table 2.

Summary of Chelsea and Boston Spatial Factor Modelsa

Chelsea (adj. R2 = 0.09) (n = 513 976)b Boston (adj. R2 = 0.06) (n = 224 129)b
variable β coefficient std. error β coefficient std. error
(intercept) 0.580 0.003 0.671 0.004
distance from road classes 1–4 (per km) −0.458 0.008 −0.813 0.052
distance from bus routes (per km) n/a n/a −1.011 0.016
distance from US-1 (elevated section; per km) −0.167 0.001 n/a n/a
near US-1 (<200 m; binary) 0.080 0.002 n/a n/a
near interstate (<400 m; binary) n/a n/a 0.077 0.005
near interstate (<100 m; binary) n/a n/a 0.142 0.008
distance from open spaces (any size; per km) n/a n/a 0.278 0.014
distance from open spaces (>5000 m2; per km) 0.430 0.009 n/a n/a
distance from residential land use (per km) 0.558 0.015 0.787 0.003
distance from transportation land use (per km) n/a n/a −0.211 0.008
near major-road intersection (<150 m; binary) 0.081 0.002 n/a n/a
a

Models predict ln(SF), where SF is the unitless spatial factor. Variables are significant at p < 0.05.

b

Number of 1-sec data points used to build the model.