Section 3: Travel Demand Modeling Process
Anchor: #i1012990Overview
The Texas Package modeling process (see Figure 2-1) involves:
- development of traffic analysis zones, districts, and sectors
- network development
- trip generation data development
- trip distribution data development
- model calibration
- model
validation.
Figure 2-1. Traveling Demand Modeling Process. To see a PDF file of the process, click tda_2-1.
Traffic Analysis Zones, Districts, and Sectors
The area MPO and TxDOT cooperatively develop traffic analysis zones (TAZs). TAZs are modified prior to each decennial census and may be modified during each travel model update when a new base year is established. Zones also may be modified between the base and the forecast years if anticipated development warrants change to the base year zone structure.
Subsequent to development of traffic analysis zones, TPP aggregates zones into districts and combines the districts into sectors. TPP geocodes and maps zones, districts, and sectors using TransCAD and provides maps to the MPO and local district office.
Anchor: #i1013054Network Development
The development of the network involves identifying major roadways to be included, mapping those roadways, and collecting and developing data required to code the network. A base year and a forecast year network are required. The base year network includes roadways and conditions as they exist in the base year. The forecast year network will include the existing base year network plus committed network improvements. In subsequent model runs other network changes may be included for alternative analysis.
Network Preparation. The computerized network of the regional roadway system, zone centroids, and centroid connectors is developed cooperatively by TPP, the MPO, and local district office. TPP develops the computerized network from county road maps drawn from a United States Geological Survey (USGS) map and provides copies of the network maps to the MPO and local district office.
Network Data Collection. The MPO conducts a roadway inventory and collects the following data for each link in the roadway network:
- number of lanes
- posted speed limit
- one-way or two-way facility
- divided or undivided facility
- legal parking conditions
- 24-hour non-directional traffic volumes.
TPP develops additional roadway descriptive characteristics for each network link:
- Link speed and capacity – The traffic assignment process uses roadway link speeds and capacity. TPP develops speed/capacity tables for network roadways based on area type, functional classification, and facility types.
- Area types - Area type is one characteristic
used to assign network speeds and capacities to individual roadway
links. The coded network speeds and capacities within a given roadway functional
classification vary by area type.
TxDOT computes area types for each traffic analysis zone based on a density measure (see Figure 2-2) calculated on the zone population, employment, and area in acres provided by the MPO. Typically, five area types are used: CBD (Central Business District), Urban, Urban Fringe, Suburban, and Rural. In some areas a six area types are used, typically CBD, CBD Fringe, Urban, Suburban, Suburban Fringe, and Rural.
Figure 2-2. Density Measure for Area Type Determination
- Functional classification and facility types - Each link of network roadways is identified by a functional class. The functional classification used for travel demand forecasting is not always consistent with the functional classification used by FHWA of funding allocation. Typical functional classifications (see Table 2-2) include Interstate highway, freeway, expressway, major and minor arterial, collector, local, ramp, and frontage road. Facility type such as divided or undivided roadway further subdivides functional classes. Functional and facility type classification schemes vary among urban areas.
- Distance - The length of each network link is required in determining link travel time. TPP calculates distance during the process of digitizing the network from USGS maps.
- Capacity and speed - The capacity
assigned to each network link is cross-classified by functional
classification, facility type, and area type. The capacities typically
used are based on a service volume at level of service C and are
derived from the Transportation Research Board Highway
Capacity Manual. In some less congested urban areas,
a threshold capacity level of service A or B may be used in the
modeling process.
The trip distribution process uses network link distance and speed to produce an estimate of link travel time, from which minimum path routes between all traffic analysis zones are developed. TPP develops a speed/capacity look-up table (see Table 2-3) for each urban area modeled. TPP derives the speeds found in this table from two sources: speed surveys of observed travel speeds and speed and typical roadway speed for facilities based on functional classification and level of service as found in the Highway Capacity Manual.
TxDOT Functional Class Code |
Typical Facility Description |
Alternate Facility Description |
---|---|---|
0 |
Centroid Connector |
Interstate |
1 |
Interstate, Expressway or Freeway |
Major Arterial, 4 Lanes Divided |
2 |
Multi-lane Highway or Rural Highway |
Major Arterial, 4 Lanes Undivided |
3 |
Divided Principal Arterial |
Major Arterial, 2 Lanes |
4 |
Undivided Principal Arterial |
Minor arterial, 6 Lanes Divided |
5 |
Divided Minor Arterial |
Minor Arterial, 4 Lanes Divided |
6 |
Undivided Minor Arterial |
Minor Arterial, 4 Lanes Undivided |
7 |
Collector |
Minor Arterial, 2 Lanes Undivided |
8 |
Frontage Road |
Collector, 2 Lanes |
9 |
Ramp |
Local |
A |
None |
Frontage Road |
B |
None |
Ramp |
C |
None |
Centroid Connector |
Description |
Lanes |
Functional Class |
CBD |
Urban |
Suburban |
Suburban Fringe |
Rural |
---|---|---|---|---|---|---|---|
Interstate |
4D |
0 |
45 103500 |
50 75000 |
55 49700 |
55 28400 |
60 23600 |
Major Arterial |
4D 4U 2U |
1 2 3 |
40 N/A 40 N/A 40 N/A |
45 N/A 45 N/A 45 N/A |
50 25600 50 22800 50 10600 |
50 25600 50 22800 50 5800 |
55 28400 55 27000 55 5200 |
Minor Arterial |
6D 4D 4U 2U |
4 5 6 7 |
37 64200 36 42800 33 3800 30 15800 |
42 44700 41 29800 38 26500 35 11000 |
47 28300 46 18900 43 16800 40 6900 |
47 17700 46 11800 43 10300 40 4200 |
52 N/A 51 N/A 48 N/A 45 N/A |
Collector |
2U |
8 |
25 14100 |
30 9700 |
35 5900 |
35 3500 |
40 2300 |
Local |
2U |
9 |
20 14100 |
25 9700 |
30 5900 |
30 3500 |
35 2300 |
Frontage |
2U |
A |
35 16900 |
40 12100 |
45 10600 |
45 5800 |
50 5200 |
Ramps |
2U |
B |
35 16900 |
40 12100 |
45 10600 |
45 5800 |
50 5200 |
Centroid Connector |
C |
15 |
20 |
25 |
25 |
30 |
Anchor: #i1013153
Trip Generation Data Development
Trip generation requires two types of data: socioeconomic data and travel behavior data.
Socioeconomic Data. The MPO, in cooperation with TPP, develops the following socioeconomic data for each traffic analysis zone in the urban area for the base year and the forecast year:
- Total Population - The total population for each traffic analysis zone in the urban area for the base year and the forecast year.
- Number of Households - The total number of households for each traffic analysis zone in the urban area for the base year and the forecast year.
- Average Household Size - The average household size for each traffic analysis zone in the urban area for the base year and the forecast year.
- Total Employment - The total employment for each traffic analysis zone in the urban area for the base year and the forecast year.
- Basic Employment – The total employment in standard industrial classification (SIC) categories of mining, construction, manufacturing, wholesale trade, transportation, communication, and public utility groups.
- Retail Employment – The total employment in SIC retail industry groups.
- Service Employment – The total employment in SIC financial, insurance, real estate, education, government, and service industry groups.
- Median Household Income – Median household income not adjusted for inflation.
- Regional or Zone Distribution of Households by Household Size and Median Household Income – The number of households in each size and income category.
- Special generator data (see Table 2-1) - The specific information needed for identified special generators.
Travel Behavior Data. TxDOT obtains information on travel behavior from travel surveys and uses it to develop trip generation and trip attraction rates for each urban area. A typical travel survey in Texas contains a household survey, a workplace survey, external station survey, commercial vehicle survey, special generator survey, and, where needed, an on-board public transit survey. In some non-attainment or near non-attainment areas an air quality survey may be conducted.
- Household Survey – In households selected at random throughout the urban area, interviewers ask people who agree to participate to record in a diary the activities and travel by each person over the age of five years during a 24-hour period. For each trip, interviewers ask participants to record the time, activity, place the trip began and ended, mode of travel, number of passengers, purpose of the trip, and other descriptive information. In addition to the data on travel, participants record characteristics of the household such as number and age of persons in the household, number of household members employed, household income, and number of vehicles available. TPP uses data from the household survey to develop trip production rates for the urban area.
- Workplace Survey - A workplace survey
collects information on travel at the destination end of trips.
This type of survey consists of two primary parts: one part designed
to collect travel information and household characteristics (such
as income, vehicle availability by
type/make of vehicle, household size, etc.) of employees at the
work sites, and one designed to collect travel data on visitors
(non-employees) traveling to/from the workplace during the day.
For the workplace survey, TPP cross-classifies employment establishments by industry type (basic, service, or retail), area type, and freestanding or non-freestanding business. Interviewers provide employees at participating workplaces with a survey and ask them to record all of their trips on a specified day. Data include the origin and destination for each trip, arrival and departure times, travel mode, reason for trip (trip purpose), vehicle occupancy, vehicle make/model/year, and transit and parking costs. Interviews with randomly selected non-employees arriving at the workplace during that day ask them to identify trip origin, trip purpose, mode of travel, vehicle occupancy, and arrival/departure times. TPP uses the data collected from the workplace surveys in conjunction with traffic or person counts at the specific workplace to develop attraction rates for basic, service, and retail employment for each area type.
- External Station Survey - At each external station location, surveyors randomly select vehicles and interview the drivers to determine information on the trip purpose, the trip origin and destination, and the vehicle occupancy. TPP uses this information to estimate the number of trips originating outside the study area and traveling to a point inside the area, the number of trips beginning and ending at a point outside the study area (through trips), and trips originating inside the study area and destined to a point outside the study area.
- Commercial Vehicle Survey – In some areas, TxDOT conducts a separate commercial truck survey to develop a more comprehensive database of travel patterns, vehicle weights and fuel types for commercial trucks operating in the urban area. TPP uses information collected from this survey to develop truck trip rates for trip production and in modeling for air quality conformity analysis. Participating firms provide data for each trip taken during one day’s travel. Information collected includes departure and arrival times, an address for each destination, truck types, truck weight, fuel type, and truck routes traveled.
- Special Generator Survey - Special generator surveys collect information on travel patterns for employees and visitors at sites that exhibit special trip generating characteristics. TPP uses data obtained in the surveys to develop trip attraction rates by trip purpose for each site.
- On-Board Public Transit Survey - An on-board survey of bus passengers collects information on current bus rider characteristics and to provide data to develop a representative origin-destination trip table for use in the travel demand models. Data collected include trip origins and destinations, mode of travel to/from bus stop, trip purpose, bus routes taken for trip, ridership frequency, fare paid and method of payment, vehicle availability, household size, and income.
- Air Quality Survey – In some non-attainment or near non-attainment areas, TxDOT conducts air quality travel surveys to collect speed, delay and vehicle classification. TPP uses the data from such surveys to validate the travel model trip assignment speeds used in air quality conformity analysis.
TxDOT conducts travel surveys in cooperation with MPOs. TxDOT analyzes data from the surveys to develop trip production and attraction rates used in trip generation. The conduct of travel surveys is determined by TxDOT on an annual basis and is dependent on need and funding. Travel surveys have been completed in 12 urban areas (see Table 2-4) since 1990.
Urban Area |
Survey Year |
House- hold |
Work- place |
External |
Commercial Vehicle |
Air Quality Data |
On-Board Transit |
Special Generator |
---|---|---|---|---|---|---|---|---|
Amarillo |
1990 |
X |
X |
X |
X |
X |
||
Austin |
1997/98 |
X |
X |
X |
X |
X |
X |
X |
Port Arthur Beaumont/ |
1993 |
X |
X |
X |
X |
X |
X |
|
Brownsville |
1991 |
X |
X |
X |
X |
X |
||
Corpus Christi |
1996 |
X |
X |
X |
X |
X |
||
Dallas |
1994/95 |
X |
X |
X |
||||
El Paso |
1994 |
X |
X |
X |
X |
X |
X |
X |
Houston |
1994 |
X |
X |
X |
X |
X |
X |
X |
San Antonio |
1990 |
X |
X |
X |
X |
X |
X |
|
Sherman/ Denison |
1991 |
X |
X |
X |
X |
X |
||
Tyler |
1990/91 |
X |
X |
X |
X |
X |
||
Victoria |
1995/96 |
X |
Anchor: #i1013297
Trip Distribution Data Development
In addition to the network data, trip distribution data require: trip length frequency distribution curves for each trip purpose, a zone radii parameter that provides the distance in minutes of travel time from the center point of the zone centroid to the nearest network point on the perimeter of the zone, and estimates of bias factors by trip purpose.
- Trip Length Frequency Distribution - A trip length frequency distribution (TLFD) model is available as a part of the trip distribution model set. Input needed for the TLFD includes an estimate of the mean trip length and the maximum trip length.
- Zone Radii (Centroid Distance Parameter) - This measures the distance in minutes of travel time from the center point of the zone centroid to the nearest point on the perimeter of the zone.
- Bias Factors - Certain social and economic factors other than travel time affect travel patterns within individual urban areas. TPP develops these factors for each trip purpose as needed based on data from survey results and gravity model results.
Model Calibration
Model calibration is an attempt to duplicate travel for the year in which the field data (i.e. travel survey, network, and other data) are collected. In urban areas without recent travel surveys, TPP estimates values for trip rates, bias factors, mean trip lengths, and trip length frequency distribution. The calibration process includes intuitive tests of the models to see if the variables and coefficients are reasonable. TPP compares the output of each model individually to base year data.
Anchor: #i1013338Model Validation
Validation is the process of applying the calibrated models sequentially in the base year. TPP validates a model for the base year to determine its predictive ability to replicate observed traffic counts using the trip rates, bias factors, and other variables estimated in calibration. If the series of models cannot produce traffic volumes similar to what is observed in the base year, then TPP re-evaluates the models and makes appropriate adjustments until validation is accomplished.