Transit Modeling Guidance by Rosella Picado and ... - FSUTMSOnline

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Transit Accessibility to Employment Transit logsum ( − 0.025× travel time ln( )) = ln∑ + employment
Sample Auto Ownership Coefficients 1 Car 2 Cars 3 Cars 4+ Cars Coeff. t-stat Coeff. t-stat Coeff. t-stat Coeff. t-stat Household Income Low -2.78 -6.7 -4.67 -11.2 -5.50 -12.8 -5.81 -12.4 Medium -1.31 -3.1 -2.54 -6.0 -2.98 -7.0 -3.40 -7.7 High -0.29 -0.7 -0.72 -1.6 -0.90 -2.0 -0.91 -2.0 Household Size 2 Person HH -- -- +2.02 +33.1 +1.99 +18.5 +1.68 +8.3 3 Person HH -- -- +1.80 +22.5 +2.40 +19.7 +1.93 +8.8 4+ Person HH -- -- +2.09 +27.7 +2.34 +19.5 +2.61 +12.6 Workers in HH 1 Worker HH +0.89 +10.6 +1.06 +11.0 +1.14 +9.2 +1.37 +6.4 2 Workers HH +0.51 +3.6 +1.61 +11.0 +1.86 +11.2 +2.15 +8.9 3+ Workers HH -- -- +0.76 +4.2 +2.72 +14.2 +3.65 +13.7 Multi-Family Housing Unit -0.34 -4.0 -1.08 -11.8 -1.80 -15.7 -2.08 -11.6 Mixed Density -0.0325 -1.4 -0.0534 -2.3 -0.0916 -3.7 -0.0733 -2.5 Walk Accessibility -- -- -- -- -0.5760 -2.7 -1.4000 -2.8 Transit Accessibility -0.0801 -7.9 -0.0927 -8.6 -0.0927 -8.6 -0.0927 -8.6
Page 1 and 2:
Transit Modeling Update presented t
Page 3 and 4:
Transit Working Group Vidya Mysore,
Page 5 and 6:
Project Overview On-Board Rider Sur
Page 7 and 8:
Principles of Model Calibration and
Page 9 and 10:
Case for the Project Workshop Pilot
Page 11 and 12:
New PT Features in Cube Voyager 6.0
Page 13 and 14: Examples of Drive-Access Coding Aer
Page 15 and 16: Examples of Drive-Access Coding Net
Page 17 and 18: Drive-Access Generation in 5.x Hist
Page 19 and 20: Drive-Access Generation Examples in
Page 21 and 22: Drive-Access Generation Examples in
Page 23 and 24: Drive-Access Generation in 6.x Cube
Page 25 and 26: Enhanced Drive-Access Generation Ex
Page 27 and 28: Output Files by PT AUTOCON Process
Page 29 and 30: Enhanced Fares along with BestPathO
Page 31 and 32: Fare Process in 5.x Output example
Page 33 and 34: Enhanced Fare Process in 6.x Exampl
Page 35 and 36: Enhanced Fare Process in 6.x Exampl
Page 37 and 38: Enhanced Transit Line Keywords in 6
Page 43 and 44: Transit Modeling Update TRIP MARKET
Page 45 and 46: Proposed New Trip Purposes HB Colle
Page 47 and 48: Proposed New Trip Purposes NHB Work
Page 49 and 50: Key Travel Market Attributes Model
Page 51 and 52: Key Travel Market Attributes FTA Re
Page 53 and 54: Building the Household Classificati
Page 55 and 56: Building the Household Classificati
Page 57 and 58: Household Workers Classification Mo
Page 59 and 60: Transit Modeling Update AUTO OWNERS
Page 61 and 62: Proposed Auto Ownership Model Multi
Page 63: Mixed Household / Employment Densit
Page 67 and 68: Trip Production Model Home-Based Wo
Page 69 and 70: Transit Modeling Update TRIP ATTRAC
Page 71 and 72: Trip Attraction Model Linear regres
Page 73 and 74: Transit Modeling Update SPECIAL TRI
Page 75 and 76: Example 1: Portland Air Passenger T
Page 77 and 78: Transit Modeling Update TIME OF DAY
Page 79 and 80: FSUTMS Approach to Time of Day Effe
Page 81 and 82: Implications for other model compon
Page 83 and 84: FSUTMS Diurnal Factors Developed fr
Page 85 and 86: Travel Time Feedback: Why? Ensure c
Page 87 and 88: Transit Modeling Update TRIP DISTRI
Page 89 and 90: Destination Choice Advantages Sensi
Page 91 and 92: Destination Choice Model Multinomia
Page 93 and 94: Trip Market Stratification At least
Page 95 and 96: Attraction Balancing Whether to sha
Page 97 and 98: Destination Choice Estimation Requi
Page 99 and 100: Destination Choice Estimation Sampl
Page 101 and 102: Destination Choice Estimation Size
Page 103 and 104: Destination Choice The mode choice
Page 105 and 106: Transit Modeling Update TRANSIT NET
Page 107 and 108: Good transit coding practices … R
Page 109 and 110: Good transit coding practices … R
Page 111 and 112: Transit network coding Access Conne
Page 113 and 114: Path building and skimming Path Bui
Page 115 and 116:
Transit Modeling Update MODE CHOICE
Page 117 and 118:
Trip market segmentation Household
Page 119 and 120:
Tier B/C Cities Mode Choice Nesting
Page 121 and 122:
FSUTMS Nesting Coefficients 0.8 0.5
Page 123 and 124:
Nested Logit Model: How? Choice Aut
Page 125 and 126:
Logit Model Curve 1 Auto Probabilit
Page 127 and 128:
Coordinating DC and MC Calibration
Page 129 and 130:
Trip Generation EE Trips Visitor &
Page 131 and 132:
Build Hwy Networks & Skims Build Pe
Page 133 and 134:
Trip Generation EE Trips HH Classif
Page 135 and 136:
Travel time feedback
Page 137 and 138:
Trip Distribution Destination choic
Page 139 and 140:
Model Inputs: What’s New? Zonal D
Page 141 and 142:
Model Parameters: What’s New? Pea
Page 143 and 144:
Catalog Keys: What’s New? Auto oc
Page 145 and 146:
Deliverables Technical Memoranda
Page 147:
Deliverables Workshops • Case for
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Transit Modeling Guidance by Rosella Picado and ... - FSUTMSOnline

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