Skip to main content
. Author manuscript; available in PMC: 2020 Feb 1.
Published in final edited form as: Accid Anal Prev. 2018 Nov 23;123:123–131. doi: 10.1016/j.aap.2018.11.017

Table 2.

Frequencies for dichotomous variables describing characteristics of intersections (nodes) and street segments (links); 13 Local Government Areas, inner Melbourne (n = 89,729)

Variable n %
Outcomes
Any crash (2014-2017) 2,611 2.9%
Intersections (nodes) 32,444 36.2%
 Roundabout 1,037 1.2%
 Signalized 1,577 1.8%
 Unsignalized 29,849 33.3%
Signed speed (maximum signed speed in cross street)
 < 50 km/h 1,357 1.5%
 50 km/h 21,354 23.8%
 60 km/h 8,313 9.3%
 > 60 km/h 1,420 1.6%
Bike lane (in any adjacent street) 4,133 12.7%
 Exclusive bicycle lane (OBL) 1,728 5.3%
 Shared bicycle and parking lane (SPL) 1,206 3.7%
 Marked wide kerbside lane (MKL) 616 1.9%
 Kerbside lane (KBL) 700 2.2%
 Other bicycle lane 307 0.9%
Street segments (links) 57,285 63.8%
Bridge 698 0.8%
One way 4,693 5.2%
Bus route 15,976 17.8%
Bus stop 3,595 4.0%
Tram route 3,774 4.2%
Tram stop 1,120 1.2%
Signed speed
 < 50 km/h 5,863 6.5%
 50 km/h 39,406 43.9%
 60 km/h 10,238 11.4%
 > 60 km/h 1,778 2.0%
Pedestrian crossing 982 1.1%
Bike lane 4,664 8.1%
 Exclusive bicycle lane (OBL) 1,744 3.0%
 Shared bicycle and parking lane (SPL) 1,174 2.0%
 Marked wide kerbside lane (MKL) 646 1.1%
 Kerbside lane (KBL) 772 1.3%
 Other bicycle lane 547 1.0%