Development of Trip Generation Models
Author: Southwestern Pennsylvania Regional Planning Commission
Publisher:
Published: 1972
Total Pages: 200
ISBN-13:
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Author: Southwestern Pennsylvania Regional Planning Commission
Publisher:
Published: 1972
Total Pages: 200
ISBN-13:
DOWNLOAD EBOOKAuthor: Kevin G. Hooper
Publisher:
Published: 2004-01-01
Total Pages: 154
ISBN-13: 9780935403862
DOWNLOAD EBOOKITE's recommended practice on how to apply trip generation data.
Author: Barton-Aschman Associates
Publisher:
Published: 1977
Total Pages: 62
ISBN-13:
DOWNLOAD EBOOKAuthor: United States. Bureau of Public Roads
Publisher:
Published: 1967
Total Pages: 134
ISBN-13:
DOWNLOAD EBOOKAuthor: Puget Sound Regional Council
Publisher:
Published: 1994
Total Pages: 100
ISBN-13:
DOWNLOAD EBOOKAuthor:
Publisher:
Published: 1966
Total Pages: 74
ISBN-13:
DOWNLOAD EBOOKAuthor: United States. Office of Highway Planning. Urban Planning Division
Publisher:
Published: 1975
Total Pages: 170
ISBN-13:
DOWNLOAD EBOOKAuthor: Kazuya Kawamura
Publisher:
Published: 2005
Total Pages: 112
ISBN-13:
DOWNLOAD EBOOKAuthor: Ajay Kumar
Publisher:
Published: 2008
Total Pages: 0
ISBN-13:
DOWNLOAD EBOOKThis paper discusses the development of an afternoon peak period trip generation model for both work and non-work trips. Three data sources are used in model development, a Household Travel Survey, a Census-Update Survey, and a Trip Generation Study. Seven one-direction trip purposes are defined, specifically accounting for stops made on the return trip from work to home. Trips are classified by origin and destination activities rather than by production and attraction, so reframing the conventional schema of home-based and non-home-based trips. Prior to estimating the model, the Household Travel Survey was demographically calibrated against the Census-Update to minimize demographic bias. A model of home-end trip generation is estimated using the Household Travel Survey as a cross-classification of the demographic factors of age and household size in addition to dwelling type. Non-home-end generation uses employment by type and population. The model was validated by comparison with a site based Trip Generation Study, which revealed an under-reporting of the relatively short and less regular shopping trips. Normalization procedures are developed to ensure that all ends of a chained trip were properly accounted for.
Author: Hanna P. H. Kollo
Publisher:
Published: 1969
Total Pages: 232
ISBN-13:
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