Download presentation
Presentation is loading. Please wait.
Published byIlene Simmons Modified over 9 years ago
1
What is the Model??? A Primer on Transportation Demand Forecasting Models Shawn Turner Theo Petritsch Keith Lovan Lisa Aultman-Hall
2
Objectives Provide overview of motor vehicle travel demand forecasting process Discuss options and alternatives for including biking and walking into vehicle forecasting models
3
Origin Transportation Research Board Committee on Bicycle Transportation Subcommittee recommendation January 2004
4
What’s the Problem? The “model” forecasts “tons” of motorized traffic and so engineers must build bigger roads The “model” rarely includes peds and bikes In fact, the “model” structure and assumptions do not work for bikes and peds But decision makers like numbers, so we need to use other techniques to quantify the activity in non-motorized transportation
5
The Model 1.Road Network 2.Zones in Study Area 3.Attributes of Zones Traffic Volume by Road Link (section)
6
Defining the Study Area 1.Define boundaries 2.Establish the network 3.Create the zones
7
Defining the Study Area 1.Define Boundaries Numerous states have statewide models Most models are used at the regional or metropolitan planning organization level -study area may be larger than appropriate -statewide may be appropriate for tourism PROBLEM
8
Defining the Study Area 2. Establish the network main arterial roads are represented as a series of links and nodes links are defined by speed and capacity turns are allowed at nodes
9
Defining the Study Area 2. Establish the network - links are defined by speed and capacity - turns are allowed at nodes - only main roads and intersections are included -even collector roads are excluded -off-road facilities are not included PROBLEM
10
Defining the Study Area 3. Create traffic analysis zones -uniform land use -bounded by major roads -neighborhood size (a few blocks or more)
11
Defining the Study Area 3. Create the zones -State of CT model – 2000 zones (5500 square miles and 3.4 million people) -Lexington-Fayette County Ky - *** zones (population 250,000 and 293 square miles)
12
Defining the Study Area 3. Create the zones -all modeled trips begin in a zone and are destined for a zone -zone size is so large that most bike and pedestrian trips start and end in the same zone and do not use the network being modeled -the typical zone attributes of population and employment are not necessarily enough to predict levels of biking or walking PROBLEM
13
The Model 1.Road Network 2.Zones in Study Area 3.Attributes of Zones Traffic Volume by Road Link (section)
14
What’s in the Black Box? The four-step model –Originally developed in the 1950s and 1960s for interstate highway planning –Many advanced newer modeling techniques have been developed by researchers –For the most part agencies still use the “four step” model
15
The Four Step Model 1.Trip Generation 2.Trip Distribution 3.Mode Choice 4.Trip or Route Assignment
16
The Four Step Model Trip Generation – use of linear regression to predict the number of trips beginning from and destined for each zone based on population and employment -there are relatively few bicycle and pedestrian trips but note this process considers total trips at this point, non-motorized trips have not necessarily been excluded -trip generation can be conducted by trip purpose (work or shopping or total daily trips are common) but note that recreational and discretionary trips are hard to include PROBLEM
17
The Four Step Model Trip Distribution – use of gravity models to link trip origin zones to trip destination zones –a trip matrix is produced
18
The Four Step Model Trip Distribution – Trip interchanges increase with decrease distance between zones –Trip interchanges increase with increased zone “attractiveness” (square footage of retail or population for example)
19
The Four Step Model Trip Distribution -all trips are still lumped together -but bike and ped trips are affected differently by distance -many bike and ped trips are intra-zonal and this distance is hard to represent PROBLEM
20
The Four Step Model Mode Choice – utility choice models predict the probability that a trip between a pair of origin and destination zones will be made by each mode –drive alone, carpool, transit are commonly included –some agencies do little mode choice as most of the trips they are modeling occur by automobile
21
The Four Step Model Mode Choice -Many agencies exclude bikes and peds completely -The small percentage of bike/ped trips makes it difficult to calibrate models and include them -Typical survey methods result in under-reporting of discretionary trips, short trips and bike/ped trips PROBLEM
22
The Four Step Model Traffic or Route Assignment –for a trip between an origin zone and a destination zone the sequence of links (roads) in the network for routing are selected -often based on just minimum distance or time -some models do more than one route for each OD pair
23
The Four Step Model Traffic or Route Assignment -The routes used by bikes and walkers are not in the network -Trips starting and ending within one zone are not assigned -Factors beyond time and distance are also important to non-motorized routing PROBLEM
24
The Four Step Model Conclusions for Bike and Ped Modes –The geographic scale could be wrong –The network is wrong –The input variables are too limited –Trip purpose is usually either too specific or too general
25
Options and Alternatives –2 options 1.Tweak existing model or “post process” intermediate or final model output 2.Use sketch planning tools outside of formal model –Burden of proof should be on transportation professional –Remind modelers how results will be used: Relative demand for prioritization Mode shift potential
Similar presentations
© 2024 SlidePlayer.com Inc.
All rights reserved.