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Table 7 Sensitivity analyses including best predictor in each category, all summary measures.

From: Land use regression modeling of intra-urban residential variability in multiple traffic-related air pollutants

Indicator Type

Traffic Indicator

Estimate(s), p-value(s) from multivariate model

Model R2

Null model

  

R2 = .39

Cumulative density scores:

Unweighted traffic density in 100 m

* Obs nearest Major Road (n = 50)

β1 = 0.055 (.004)

β2 = -0.051 (.004)

R2 = .55

 

Kernel-weighted density in 50 m

* Obstructed (n = 50)

β1 = 0.034 (.02)

β2 = -0.056 (.002)

R2 = .55

 

Density of urban roads (>8500 cars/day) in 200 m

* Obstructed (n = 50)

β1 = 589.4 (.049)

β2 = -760.9 (.0095)

R2 = .52

Summary measures:

Total roadway length within:

  
 

50 meters

* Obstructed (n = 50)

β1 = 0.0144 (<.0001)

β2 = -0.0094 (.005)

R 2 = .56

 

100 meters

* Obstructed (n = 50)

β1 = 0.0022 (.34)

β2 = -0.0042 (.005)

R2 = .54

 

200 meters

* Obstructed (n = 50)

β1 = 9.28*10-4 (.22)

β2 = -1.25*10-3 (.008)

R2 = .52

 

300 meters

* Obstructed (n = 50)

β1 = 2.31*10-4 (.55)

β2 = -6.65*10-4 (.0095)

R2 = .50

 

Vehicle Miles Traveled in 200 m

* Obstructed (n = 50)

β1 = 1*10-7 (.21)

β2 = -1*10-7 (.10)

R2 = .47

Distance-based measures:

To nearest highway (>19,000/day)

* Obstructed (n = 50)

β1= 0.0176 (.12)

β2 = -0.0195 (.07)

R2 = .50

Characteristics of nearest major road:

Trucks per day on nearest major road * Obstructed (n = 34)

β1 = .0061 (.01)

β2 = .00596 (.01)

R 2 = .59

  1. Final model bolded; models with diesel-based terms italicized. Traffic indicators for NO 2 .