Table 2.
Blocks defined by spatial patterns of active travel and particulate concentrations.
| Block type | Active travel | Air pollution | Mode of travel | Percentage of blocksa | Percentage of active travela | ||||
|---|---|---|---|---|---|---|---|---|---|
| PN | BC | PM2.5 | PN | BC | PM2.5 | ||||
| Sweet spot: high active travel and low exposure to air pollution. | Highest quartile | Lowest quartile | Bicycles | 3 | 2 | 3 | 7 | 5 | 9 |
| Pedestrians | 2 | 3 | 3 | 3 | 4 | 4 | |||
| Active and exposed: high active travel exposures. | Highest quartile | Highest quartile | Bicycles | 10 | 10 | 9 | 21 | 27 | 20 |
| Pedestrians | 11 | 11 | 10 | 44 | 38 | 41 | |||
| Inactive and clean: blocks could benefit from increased active travel while keeping pollution low. | Lowest quartile | Lowest quartile | Bicycles | 12 | 10 | 11 | 4 | 3 | 3 |
| Pedestrians | 11 | 9 | 10 | 3 | 3 | 3 | |||
| Sour spot: blocks with lowest health benefit for active travel and pollution. | Lowest quartile | Highest quartile | Bicycles | 3 | 4 | 4 | 1 | 1 | 1 |
| Pedestrians | 6 | 5 | 7 | 2 | 1 | 2 | |||
| All other areas: blocks not classified in one of the four categories above. | — | — | Bicycles | 72 | 74 | 73 | 67 | 64 | 67 |
| Pedestrians | 70 | 73 | 70 | 48 | 54 | 50 | |||
| aIn each cell for percentage of blocks and percentage of active travel, values for bicycles are the top value, and pedestrians the bottom value. | |||||||||