Table 4.

Binary logistic regression results predicting the occurrence of (a) protruding roots, (b) protruding flares, and (c) protruding roots and/or flares. Diameter at breast height and tree height were abbreviated as DBH and H.

Model statisticsEffects on odds ratio
X2R2Yes%No%InterceptDBHHLeanPavement widthOpen soil areaSetbackPavemen material (brick)
(a) Protruding roots onlyA. moluccanus22.430.36555.089.80.3361.0811.0560.9041.1010.3192.0830.064
B. ceiba15.580.26439.386.401.0061.0220.9790.3743.7497.102
C. equisetifolia15.530.24715.499.01.1460.9730.9170.92301.242N/A
C. burmannii33.440.51974.283.800.9631.4711.2771.43510.7000.8500.534
D. regia14.980.25140.787.20.1051.0480.8281.1050.7471.7071.0467.128
F. altissima11.880.29593.827.31.0111.1631.1690.4230.7772.0070
F. microcarpa5.010.061100.003.4010.9980.9361.0141.1441.1621.0580.724
M. cajuputi26.830.28739.494.40.0111.0861.0490.9841.0951.4861.3521.840
S. campanulata42.850.61673.396.401.2411.0060.9241.4242.9590.9970.089
All trees273.840.31438.394.20.0641.0491.0141.0280.9341.2691.1100.958
(b) Protruding flares onlyA. moluccanus38.630.63764.396.901.1580.9481.1120.27832.930165.6005.516
B. ceiba16.530.29031.888.01.0860.9210.8960.5982.1701.4560
C. equisetifolia35.550.40941.794.701.2620.9270.9601.00139.1100.966N/A
C. burmannii12.880.23952.286.70.1961.1301.0180.9420.7660.3571.4751.471
D. regia17.710.28464.964.90.0471.0781.0670.9900.7211.3451.1742.901
F. altissima10.680.302100.037.51.0201.4640.9501.3260.9490.7080
F. microcarpa27.650.31295.028.00.0321.0511.0830.9801.0311.5240.9267.659
M. cajuputi25.110.29612.595.90.0071.1370.9881.0181.1010.7130.9522.061
S. campanulata39.960.51852.494.80.0021.0751.1771.0801.00112.8000.9010.111
All trees468.800.49353.894.00.0151.1021.0001.0080.97212871.0561.222
(c) Protruding roots and/or flaresA. molp6uccanus36.930.51169.090.00.0131.1201.0190.9990.8581.64612.1300.227
B. ceiba24.740.38966.772.71.0081.1190.8990.1887.54023.0800
C. equisetifolia36.110.38541.995.4012240.9380.9350.91044.0201.074N/A
C. burmannii24.530.41481.464.00.0061.0531.3871.0710.6026.9871.8911.876
D. regia12.730.21477.831.00.2911.0300.9871.0090.6421.9541.3115.918
F. altissima17.471.000100.0100.01.8290.56500.0080
F. microcarpa15.370.570100.033.30.9880.7960.742051.100
M. cajuputi42.880.40659.183.30.0071.1111.1070.9811.0331.4881.2832.457
S. campanulata55.910.63469.293.101.0881.3461.0721.11820.4801.0360.056
All trees540.10.52369.887.90.0341.1140.9801.0030.9161.7581.1320.956
  • The rates of correct prediction of the presence (Yes%) and absence (No%) of protrusion were provided. Species-specific effects of DBH in centimetres, H, lean angle, pavement width, open soil area, setback, and pavement material on the odds ratio of the occurrence of the 3 scenarios were reported. “N/A” indicated a lack of variation. Significant model statistics and predictors with P < 0.05 were italicised and underlined. For comparison, the pseudo-R2 values were supplied. A. alexandrae, L. speciosa, M. × alba, P. serratifolia, and X. chrysanthus were excluded due to small sample size.