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Travel Demand Forecasting: Parameters and Techniques (2012) / Chapter Skim
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Pages 7-13

The Chapter Skim interface presents what we've algorithmically identified as the most significant single chunk of text within every page in the chapter.
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From page 7...
... 2.1 Types of Planning Analyses The transportation planning function covers a diverse set of activities that focuses on different transportation modes and systems, timeframes, geographic scales, policy issues, and stakeholder groups. It is critical to gather input from a broad cross section of stakeholders on the types of policy considerations and modal analyses that need to be accounted for in the travel demand model prior to its development.
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From page 8...
... 2.1.6 Transit Planning At a minimum, forecasts for transit planning require a mode choice model and a transit network, with path building,
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From page 9...
... This type of analysis requires identification of roadways in the model network that require minimum occupancy levels and trip tables corresponding to each occupancy level allowed to use particular facilities. The mode choice model, therefore, must be capable of outputting these trip tables; and the highway assignment must be capable of assigning HOVs and low-occupancy vehicles to the appropriate facilities.
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From page 10...
... presents a comprehensive set of tables on various aspects of urban travel demand assembled based on data from an MPO survey, the Highway Performance Monitoring System, the National Transit Database, and the 1995 National Personal Travel Survey, including demographics, vehicle ownership, trip generation by mode and trip purpose, trip generation by characteristics or origin and destination, trip making by time of day, truck trip parameters, utilization of facilities, parking, and telecommuting. Although the tables in TCRP Report 73 contain information largely from the 1990s, it does continue to help illustrate differences among specific metropolitan areas for many of the recorded measures.
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From page 11...
... However, population size is not the only issue; in fact, other demographic indicators such as income, race, gender, nonnative status, English as a second language, and household size all have potential impacts on aspects of travel considered in the forecasting process. Many of these characteristics are among the most common variables used in trip generation, trip distribution, and mode choice models.
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From page 12...
... modes other than singleoccupant vehicles (SOV) means an urban area should consider mode choice modeling.
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From page 13...
... 13 related trips and part-time retail worker trips outside the peak period and potentially a larger share of bicycle, walking, and transit trips than other similar sized areas. The presence of a state capital can also potentially impact travel patterns when compared against a similar sized city with a higher proportion of manufacturing employment.
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Key Terms

  • mode choice
  • model region
  • trip generation
  • choice model
  • household size

  • highway network
  • trip chaining
  • freight mode
  • choice models
  • generation models

  • transportation plan
  • trip table
  • metropolitan planning
  • transit network
  • truck trip

  • run time
  • truck trips
  • regional transportation
  • trip length
  • truck modeling

  • travel time
  • travel demand
  • planning context
  • trip distribution
  • nested logit

  • travel models
  • transit service
  • truck model


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