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 |