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This is one of a series of reports on the 1990 Nationwide Personal Transportation Survey (NPTS). The NPTS includes information about the amount and nature of personal travel in the United States, as related to the demographics of persons and households. This report focuses on analyses of four urban size groups: urbanized areas under 1 million population, urbanized areas with 1 million or more population without rail, urbanized areas with 1 million or more population with rail, and non-urbanized areas. Topics include person and vehicle trip rates, vehicle occupancy rates, trip length in time and distance, mode choice, and commuting trip patterns. Comparisons of the 1983 and 1990 NPTS datasets are included.
Travel patterns were studied for hospitals, colleges and universities, office buildings, and state capitol complexes. The analyses include trip generation, trip distribution, and general trip characteristics such as trip purpose and mode of travel. Data were obtained from many origin-and-destination studies conducted during recent years for urban transportation planning processes. Trips to and from specific types of land use were studied. The trip generation characteristics are related to various quantifiable factors for each specific land use through the use of multiple regression analyses.
Criteria or values establishing the travel patterns created by major traffic generators as shopping centers, auditoriums, airports, industrial plants and other large generators of urban travel would be useful in forecasting the effect of various land uses on existing street networks, in providing a better basis for the design of new facilities, and in providing better criteria for the control of land uses of this type. Trip-making, land use, highway system, and socio-economic data were assembled from 15 area wide transportation studies for 28 major shopping centers, 12 airports, and 54 major manufacturing plants. Data represented different years and different degrees of sampling variability. trip generation was studied by simple and multiple linear regression, by land area and floor space indices, by person and vehicle tripmaking, stratified by trip purpose groupings.