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Models For Trip Prediction Developed from Fourteen Urban Areas : Technical Paper

James Schuster, Harold Michael

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Abstract

The purpose of this research was to develop a method for synthesizing urban travel patterns through an evaluation of various factors which affected travel characteristics in 14 different urban areas. The study included an investigation of travel characteristics in standard metropolitan statistical areas (SMSAs) less than one million in population. This population classification was chosen because of the possible homogeneity in the factors affecting transportation facilities. Statistical analyses of data from the 14 cities were made to evaluate correlations in urban travel characteristics. Urban vehicular trip patterns, truck trips, and traffic generation of the central business district were among the characteristics investigated.

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The purpose of this research was to develop a method for synthesizing urban travel patterns through an evaluation of various factors which affected travel characteristics in 14 different urban areas. The study included an investigation of travel characteristics in standard metropolitan statistical areas (SMSAs) less than one million in population. This population classification was chosen because of the possible homogeneity in the factors affecting transportation facilities. Statistical analyses of data from the 14 cities were made to evaluate correlations in urban travel characteristics. Urban vehicular trip patterns, truck trips, and traffic generation of the central business district were among the characteristics investigated.

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Available abstract

The purpose of this research was to develop a method for synthesizing urban travel patterns through an evaluation of various factors which affected travel characteristics in 14 different urban areas. The study included an investigation of travel characteristics in standard metropolitan statistical areas (SMSAs) less than one million in population. This population classification was chosen because of the possible homogeneity in the factors affecting transportation facilities. Statistical analyses of data from the 14 cities were made to evaluate correlations in urban travel characteristics. Urban vehicular trip patterns, truck trips, and traffic generation of the central business district were among the characteristics investigated.

Key concepts: Transport engineering, Computer science, Geography, Engineering

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