Table 1 Granular land-use categories from OpenStreetMap allow for more detailed understandings of traffic disruptions. Compared with the traditional land-use categories shown in (a) that produce an adjusted R2 = 0.11, the granular classifications used in (b) increase the adjusted R2 to 0.55. Only a small subset of the 40 predictor variables are shown for (b), with all other coefficients shown in Table S3 in the Supplementary Information. Respectively, *, ** and *** indicate p < 0.05, p < 0.01 and p < 0.001.

From: Estimating Traffic Disruption Patterns with Volunteered Geographic Information

Variable

Estimate

(a)Meta-categories only

Residential

 − 0.09**

Industrial

 − 0.18**

Recreational

 − 0.10*

Institutional

0.14*

Green space

0.26***

Commercial

0.32***

Observations

6529

Adjusted R2

0.11

(b) Granular model

Residential

0.61***

Farmland

0.56***

School

0.042**

Place of worship

0.009**

 

Apartments

 − 0.09**

Observations

6529

Adjusted R2

0.55