Midterms Part 3 Flashcards
is expressed as the number of persons or vehicles per
unit time that can be expected to travel on a given segment of a
transportation system under a set of given land-use, socioeconomic,
and environmental conditions.
Travel Demand
2 basic travel demand forecasting boundaries
Urban Travel Demand Forecasts
Intercity Travel Demand Forecasts
which involves data
concerning the travel maker such as age, sex, income, vehicle
ownership, etc
Urban travel demand forecasts
involves city population,
average city income, travel time or travel cost between city
pairs.
Intercity travel demand forecasts
Factors affecting Travel Demand
Land use characteristics
Socioeconomic characteristics
Availability of transportation services
are primary determinants of travel demand.The amount of traffic generated by a parcel of land depends on how the land is used.
Land Use Characteristics
the people living within the city also influence the demand for transportation. Lifestyles and values affecthow people decide to use their resources for transportation
Socioeconomic characteristics
referred to as the supply, also affects the demand for travel. Travelers are sensitive to
the level of service provided by alternative transportation modes.
Availability of transportation facilities and services
Selecting an area of study is one of the necessary elements of
establishing the transport planning models and that area is referred as
traffic analysis zone (TAZ)
“Four Step Processes”
Trip Generation, Trip Distribution, Modal Choice, Traffic Assignment
The approach most commonly used to forecast travel demand is
based on
Land Use and Travel Characteristics
is the process of determining the number of trips that
will begin or end in each traffic analysis zone within a study area.
Trip Generation
Trips that are determined without regard to destination are referred to as
trip ends
Trip has two ends according to purpose:
Produced or Attracted
Trip generation has three mathematical methods:
Cross-classification
Trip-rate analysis
Multiple regression analysis
is a technique developed by the Federal
Highway Administration (FHWA) to determine the number of trips that
begin or end at home.
Cross-Classification
Cross classification uses this sub models
Income sub
Auto ownership sub
Trip production sub
Trip purpose sub