Estimating Bicycling and Walking for Planning and Project Development: A Guidebook (2014) / Chapter Skim
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Pages 126-135
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From page 126... ...
126 Vehicle Ownership A P P E N D I X B Enhanced Four-Step Process8 Variable Elasticity Household Size 0.396 Household Number of Workers 0.043 Household Number of Licensed Drivers 0.264 Household Income 0.135 Rural Home Indicator* 0.013 NMT Accessibility Index of Home TAZ -0.355 Distance to Closest Bus Stop 0.008 # of 4-way Intersections -0.025 # of Bus Stops -0.049 Home TAZ Density -0.008 *
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From page 127... ...
127 Variable Elasticity Household Size 0.84 Household Number of Workers 0.24 Household Number of Vehicles -0.52 Licenses per Member -0.58 Household Income 0.13 Hourly Parking Price -0.02 Free Parking Spaces -0.01 # of 3-way Intersections -0.01 # of 4-way Intersections 0.36 Home TAZ Density 0.00 Home TAZ Accessibility Index (SOV) -4.06 Home TAZ Accessibility Index (NMT)
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128 Table B-4A. Intrazonal HBW mode-choice model results (MNL)
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Drive alone Shared ride Transit Walk Bike Variables Coef. t stat Coef.
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130 Drive alone Shared ride Transit Walk Bike Variables Coef. t stat Coef.
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Variables Pr(DA)
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132 Variables Pr(DA)
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133 Variable Coefficient t stat Hourly Parking Price 0.095 1.31 # of Dead Ends 0.00641 4.32 # of Bus Stops 0.0148 1.98 Network Distance 0.195 12.48 Land Use Mix 1.67 3.77 Log of Employment 0.712 9.71 Logsum of Mode Choice Model 0.395 27.94 # of 4 way Intersec ons 0.00124 2.24 Density 2.76E 07 2.23 Male: Land Use Mix 0.35 2.52 Male: Hourly Parking Price 0.0618 2.78 Male: Distance to Bus Stop 0.3080 4.97 Male: Total Number of Bus Stops 0.00465 1.86 Male: Network Distance 0.0486 14.43 Male: Log of Employment 0.0718 2.82 Male: Log of Popula on 0.0748 6.45 Male: Density 5.82E 07 3.28 Senior Ci zen: Land Use Mix 1.49 3.58 Senior Ci zen: Network Distance 0.0189 1.84 Senior Ci zen: Log of Employment 0.126 1.73 Senior Ci zen: Density 1.30E 06 1.62 High Income: Land Use Mix 0.350 2.29 High Income: Distance to Bus Stop 0.105 1.49 High Income: # of Bus Stops 0.00182 1.48 High Income: Network Distance 0.0103 2.93 High Income: Log of Employment 0.0667 2.48 High Income: Log of Popula on 0.0263 2.08 Licensed: Land Use Mix 0.750 1.69 Licensed: # of Free Off street Parking Spaces 7.46E 05 3.06 Licensed: Hourly Parking Price 0.136 1.89 Licensed: Distance to Bus Stop 0.123 2.03 Licensed: # of Bus Stops 0.0122 1.64 Licensed: Network Distance 0.0761 4.93 Licensed: Log of Employment 0.125 1.70 Licensed: Log of Popula on 0.0484 4.89 Number of Observa ons 6,615 Final Log likelihood 13,408 Pseudo R square 0.4513 Note: t stat of mode choice logsum coefficient calculated with respect to 1. Table B-7A.
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From page 134... ...
134 Variable Coefficient t stat Hourly Parking Price 0.0987 7.57 # of Dead Ends 0.00793 7.17 # of 3 way Intersec ons 0.00562 7.64 Distance to Bus Stop 0.212 5.71 Network Distance 0.358 52.44 Land Use Mix 0.659 4.46 Density 1.68E 06 4.61 Log of Employment 0.447 20.38 Logsum of Mode Choice Model 0.741 13.53 Distance to CBD 0.0197 9.05 Log of Popula on 0.119 9.72 Male: Land Use Mix 0.181 1.83 Male: # of Free Off street Parking Spaces 8.87E 05 2.22 Male: Hourly Parking Price 0.0351 2.73 Male: Distance to Bus Stop 0.0860 1.88 Male: Network Distance 0.0221 5.07 Senior Ci zen: # of Free Off street Parking Spaces 7.18E 05 1.37 Senior Ci zen: Distance to Bus Stop 0.187 3.44 Senior Ci zen: Network Distance 0.0287 5.38 Senior Ci zen: Density 6.89E 07 3.07 High Income: Land Use Mix 0.177 1.65 High Income: Distance to Bus Stop 0.105 1.90 High Income: Network Distance 0.00839 1.65 High Income: Log of Popula on 0.0271 2.66 Licensed: Land Use Mix 0.777 5.12 Licensed: Network Distance 0.137 20.67 Licensed: Log of Employment 0.0424 1.72 Licensed: Log of Popula on 0.0708 5.51 Licensed: Density 7.49E 07 2.04 Number of Observa ons 15,798 Final Log likelihood 22624 Pseudo R square 0.6124 Note: t-stat of mode-choice logsum coefficient calculated with respect to 1. Table B-7B.
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From page 135... ...
135 Variable Coefficient t stat # of Free Off street Parking Spaces 0.00016 2.39 Hourly Parking Price 0.0575 4.22 # of Dead Ends 0.00678 5.75 # of 3 way Intersecons 0.00220 3.04 # of 4 way Intersecons 0.00185 4.41 Distance to Bus Stop 0.111 3.30 Number of Bus Stops 0.00762 5.41 Network Distance 0.337 47.97 Land Use Mix 0.377 6.72 Density 2.71E 06 6.10 Log of Employment 0.319 14.40 Logsum of Mode Choice Model 0.580 37.50 Distance to CBD 0.0272 14.68 Log of Populaon 0.109 7.70 Male: Network Distance 0.0479 14.26 Male: Log of Employment 0.0302 2.01 Male: Log of Populaon 0.0473 5.63 Male: Density 3.14E 07 1.60 Senior Cizen: Land Use Mix 0.847 4.93 Senior Cizen: Hourly Parking Price 0.0607 2.01 Senior Cizen: # of Bus Stops 0.00566 1.74 Senior Cizen: Network Distance 0.0342 6.11 Senior Cizen: Log of Employment 0.0732 2.56 Senior Cizen: Log of Populaon 0.0180 1.23 High Income: Hourly Parking Price 0.0355 1.94 High Income: Distance to Bus Stop 0.100 1.81 High Income: Total Number of Bus Stops 0.00378 1.83 High Income: Log of Popula on 0.0530 6.13 High Income: Density 4.34E 07 2.23 Licensed: # Free Off street Parking Spaces 0.000142 2.06 Licensed: Network Distance 0.140 20.22 Licensed: Log of Employment 0.189 8.75 Licensed: Log of Popula on 0.0426 3.12 Licensed: Density 1.37E 06 3.30 Number of Observa ons 17,462 Final Log likelihood 28536 Pseudo R square 0.5576 Note: t-stat of mode-choice logsum coefficient calculated with respect to 1. Table B-7C.
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