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Trip Distribution Lecture 8 Norman W. Garrick and Hamed Ahangari
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Socio-Economic and Demographic
Land Use Socio-Economic and Demographic # Trip Trip Generation # Trip O-D Trip Distribution Mode Choice # of Trips by Modes Transportation Network Trip Assignment Traffic volumes
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i i j j Tij Trip Generation Production Attraction Pi Aj
Trip Distribution Tij i j
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Trip Generation Input: Socioeconomic Data Land Use Data Output:
1 2 3 4 5 6 8 7 Output: Trip Ends by trip purpose
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Trip Generation Trip Distribution
The question is… how do we allocate all the trips among all the potential destinations? Trip Matrix or Trip Table Zone 1
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STORRS Buckland Hill Westfarms Mall Eastbrook Mall Production
Attraction
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Trip Distribution
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Trip Distribution We link production or origin zones to attraction or destination zones A trip matrix is produced The cells within the trip matrix are the “trip interchanges” between zones
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Trip Distribution: Theory
Trip interchange between two zones depends on: Type of land use Costs of travel between zones
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Basic Assumptions of Trip Distribution
Number of trips decrease with COST between zones Number of trips increase with zone “attractiveness”
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Methods of Trip Distribution
Growth Factor Models Gravity Model
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Growth Factor Assumptions
1. Future travel pattern would be the same as the existing pattern (distribution of future trips from an origin is a proportion of the present trip distribution) 2. The growth factor allow us to adjust future interchanges
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Growth Factor Models Growth Factor Models assume that we already have a basic trip matrix Usually obtained from a previous study or recent survey data
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Growth Factor Models The goal is then to estimate the matrix at some point in the future For example, what would the trip matrix look like in 2 years time? Trip Matrix, t (2008) Trip Matrix, T (2018)
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Some of the More Popular Growth Factor Models
Uniform Growth Factor Singly-Constrained Growth Factor Average Factor Detroit Factor Fratar Method
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Uniform Growth Factor Model
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Uniform Growth Factor tij = Base-year Trip Matrix
i = I = Production Zone j = J = Attraction Zone Tij = τ tij for each pair i and j Tij = Future Trip Matrix tij = Base-year Trip Matrix τ = General Growth Rate
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Uniform Growth Factor Tij = τ tij
If we assume τ = 1.2 (growth rate), then… Trip Matrix, t (2013) Tij = τ tij = (1.2)(5) = 6 Trip Matrix, T (2018)
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Uniform Growth Factor The Uniform Growth Factor is typically used for over a 1 or 2 year horizon However, assuming that trips grow at a standard uniform rate is a fundamentally flawed concept
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Pros and Cons of Growth Model
Advantages: Simple Easy to balance origin and destination trips at any zone Disadvantages: Does not reflect changes in the land use Does not reflect changes in the network
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The Gravity Model
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The Inspiration for the Gravity Model
The big idea behind the gravity model is Newton’s law of gravitation… The force of attraction between 2 bodies is directly proportional to the product of masses between the two bodies and inversely proportional to the square of the distance M1 M2 F = k r2
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Some of the Variables Tij = Qij = Trips Volume between i & j
Fij =1/Wcij = Friction Factor Wij = Generalized Cost (including travel time, cost) c = Calibration Constant pij = Probability that trip i will be attracted to zone j kij = Socioeconomic Adjustment Factor Tij = Trips between i & j i = production zone j = attraction zone Tij = f (Pi, Aj, Cij) Cij = Generalized cost of trip from i to j
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The Gravity Model Pi Aj FijKij Tij = Qij = = Pipij ΣAjFijKij (Productions)(Attractions)(Friction Factor)(K-factor) = Sum of the (Attractions x Friction Factors x K-factor) of the Zones Fij = 1 / Wcij or ln F = - c ln W The bigger the friction factor, the more trips that are encouraged
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Steps Step 1- Calculate Friction Factors, {Fij}
Step 2- Find Denominator of Gravity Model Equation {AjFijKij} Step 3- Find Probability that Trip i will be attracted to Zone j, {pij} Step 4- Find Trip Interchanges, {Tij}
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To Apply the Gravity Model
What we need… Productions, {Pi} Attractions, {Aj} Skim Tables {Wij) Target-Year Interzonal Impedances
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Gravity Model Example 8.2 Given: Find: Target-year Productions, {Pi}
Relative Attractiveness of Zones, {Aj} Skim Table, {Wij} Calibration Factor, c = 2.0 Socioeconomic Adjustment Factor, K = 1.0 Find: Trip Interchanges, {Qij}
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Find Trip Interchanges, {Qij}
Find Denominator of Gravity Model Equation {AjFijKij} Calculate Friction Factors, {Fij} Find Probability that Trip i will be attracted to Zone j, {pij} Given… Given… Target-Year Inter-zonal Impedances, {Wij} Calibration Factor c = Socioeconomic Adj. Factor K = 1.0 Calculate Friction Factors, {Fij} 1 F11= 1 52 = 0.04 Fij = = Wcij Find AjFijKij AjFijKij=A2F12K12 (3)(0.01)(1.0) = 0.03 Find Probability that Trip from i will be attracted to Zone j, {pij} A2F12K12 0.03 p12 = = = Σ(AjFijKij) 0.0514 Find Trip Interchanges, {Qij} Q12 = P1p12 = (1500)(0.5838) = 876
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Find Trip Interchanges, {Qij}
Find Denominator of Gravity Model Equation {AjFijKij} Calculate Friction Factors, {Fij} Find Probability that Trip i will be attracted to Zone j, {pij} Given… Given… Target-Year Inter-zonal Impedances, {Wij} Calibration Factor c = Socioeconomic Adj. Factor K = 1.0 Calculate Friction Factors, {Fij} 1 F23= 1 102 = 0.01 Fij = = Wcij Find AjFijKij AjFijKij=A3F23K23 (2)(0.01)(1.0) = 0.02 Find Probability that Trip from i will be attracted to Zone j, {pij} A3F23K23 0.02 p23 = = = Σ(AjFijKij) 0.1622 Find Trip Interchanges, {Qij} Q12 = P2p23 = (0)(0.1233) = 2
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Find Trip Interchanges, {Qij}
Find Denominator of Gravity Model Equation {AjFijKij} Calculate Friction Factors, {Fij} Find Probability that Trip i will be attracted to Zone j, {pij} Given… Given… Target-Year Inter-zonal Impedances, {Wij} Calibration Factor c = Socioeconomic Adj. Factor K = 1.0 Calculate Friction Factors, {Fij} 1 F23= 1 102 = 0.01 Fij = = Wcij Find AjFijKij AjFijKij=A3F23K23 (2)(0.01)(1.0) = 0.02 Find Probability that Trip from i will be attracted to Zone j, {pij} A3F23K23 0.02 p23 = = = Σ(AjFijKij) 0.1622 Find Trip Interchanges, {Qij} Q12 = P2p23 = (0)(0.1233) = 2
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Keep in mind that the socioeconomic factor, K, can be a matrix of values rather than just one value
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The Problem with K-Factors
Although K-Factors may improve the model in the base year, they assume that these special conditions will carry over to future years and scenarios This limits model sensitivity and undermines the model’s ability to predict future travel behavior The need for K-factors often is a symptom of other model problems. Additionally, the use of K-factors makes it more difficult to figure out the real problems
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Limitations of the Gravity Model
Too much of a reliance on K-Factors in calibration External trips and intrazonal trips cause difficulties The skim table impedance factors are often too simplistic to be realistic Typically based solely upon vehicle travel times At most, this might include tolls and parking costs Almost always fails to take into account how things such as good transit and walkable neighborhoods affect trip distribution No obvious connection to behavioral decision-making
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