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Data:
    Overview
1. Income and Vehicle Ownership
2. Age and Vehicle Ownership
3. Density, Transit and Vehicle Ownership
4. Price of Parking and Vehicle Ownership
5. Trip Generation Data
6. Getting Local Data
 

5. Trip Generation Data


Why Trip Generation Matters?
 
A frequent barrier to infill, affordable housing is the result of a Traffic Impact Analysis. Traffic Impact Analyses assume that new land uses will generate a certain amount of local vehicle trips.  Those trips are added to existing local traffic conditions in a simulation.  If the simulation results in a projected degrading of the Level of Service of local streets, a development may be forced to be scaled down.  
 
What are the problems? 
 
Unfortunately, the trip generation rates used in Traffic Impact Analyses are often simplistic, inaccurate, and statistically unreliable.  Trip generation rates rarely take into account access to transit, neighborhood density and demographic factors like income and age (for more, see Shoup, Truth in Transportation Planning).  
 
Purpose of This Page This page provides some data on trip generation to help planners and develpers engage more effectively in discussions on traffic impacts of infill developments. 
 
Important Associations to Consider
a. Vehicle Ownership and Trip Generation
b. Income and Trip Generation
c. Age and Trip Generation

 
  a. Vehicle Ownership and Trip Generation
 
Observation Trip generation rates are lower for households who own fewer vehicles.
 
Implication Traffic Impact Analyses should consider factors in a housing development that impact vehicle ownership including: income, age, disability, density, transit access, parking constraints, parking prices, and unbundled parking.
 
Data and Facts
Trip Rates by Vehicle are typically one-third higher for households with 2+ vehicles than 1-vehicle households which are two-thirds higher than 0-vehicle households. (Ewing)
 
Table: Bay Area Household Weekday Trips Per Day by Household Size and Vehicles Available
 

Vehicles per Household

  0 1 2 3+
1 person HH 2.72 3.91 3.81 4.17
2 person HH 4.05 5.79 6.71 7.08
3 person HH 5.78 7.30 8.37 9.64
4 person HH 6.46 9.36 11.08 12.68
Source: San Francisco Bay Area 1990 Regional Travel Characteristics: Working Paper #4
 
b. Income and Trip Generation
 
Observation Trip generation rates are lower for lower income households, and a higher percentage of those trips are via transit.
 
Implication Traffic impact analyses should reflect the lower traffic impact created by affordable housing developments compared to other land uses including market rate housing. 
 
Data and Facts
Table: Bay Area Household Weekday Trips Per Day per Household Size by Income
  Total Trips Percent Transit
Low Income (< $25,000) 5.5 12.5%
Low Medium Income ($25,000 - $45,000) 7.5 5.8%
High Medium Income ($45,000 - $75,000) 9.4 4.6%
High Income (> $75,000) 10.5 3.7%

All Households

7.6 6.6%

Source: San Francisco Bay Area 1990 Regional Travel Characteristics: Working Paper #4

 
c. Age and Trip Generation
 
Observation Trip generation rates are lower for senior households, and a higher percentage of those trips are via transit.
 
Implication Traffic impact analyses should reflect the lower traffic impact created by senior housing developments compared to other land uses including market rate housing. 
 
Data and Facts
Table: Bay Area Trips per Household by Household Life Cycle Category
Household Life Cycle Category Trips per Day
Single Adult, Retired, No Children 2.7
Two or More Adults, Retired, no Children 6.2
Average for All Households 7.6

Source: San Francisco Bay Area 1990 Regional Travel Characteristics: Working Paper #4

 
Table: Bay Area Trips per Person by Age Group
Age Group Trips per Person % Transit, Walk, Bike
5-17 2.6 29.2%
18-22 3.1 18.6%
23-29 3.1 17.6%
30-39 3.6 14.7%
40-49 3.7 13.3%
50-59 3.4 15.1%
60-64 2.9 14.7%
65 + 2.5 19.1%

Source: San Francisco Bay Area 1990 Regional Travel Characteristics: Working Paper #4

   

 

List of More Detailed Trip Generation Tables from MTC Analysis
   
Vehicle Ownership 1990 Regional Trips per Household by Household Size
by Vehicles Available per Household - Total Modes
Income 1990 Regional Trips per Household by Household Income Tertile
1990 Regional Trips per Household by Household Income Quartile
Age Average Trips per Person and Trip Purpose Share by Age Group
  Average Total Trips per Person by Age of Trip Maker
  1990 Regional Trips per Household and per Person by Household LifeCycle
  Modal Share for Work and Total Trips by Age Group

Sources:

Ewing, Reid and Shi-Chiang Li. 1998. A Vehicle Ownership Model for FSUTMS. Washington, D.C.: National Research Council, Transportation Research Board.

Purvis, Charles L. 1994. San Francisco Bay Area 1990 Regional Travel Characteristics: Working Paper #4. Metropolitan Transportation Commission: Oakland, Calif.  Available at: http://ntl.bts.gov/DOCS/SF.html (Visited April 1, 2001).

Shoup, Donald C. 2000. Truth in Transportation Planning. Washington, D.C.: National Research Council, Transportation Research Board.




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