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GIS approach to linking spatial patterns and trip generation/trip distribution modeling
- Date Issued:
- 1995
- Summary:
- Geographic information systems (GIS) have been increasingly used in urban transportation planning and modeling. One key advantage of GIS is its ability to integrate and analyze various kinds of geographically referenced data. Modeling and analysis tools used to predict travel patterns should be shaped by changes in spatial organization that are currently taking place. Utilizing the detailed data made available by GIS, this study investigates the potential improvements offered to the conventional trip generation and trip distribution models by explicitly referencing the spatial land use and street network patterns within traffic analysis zones (TAZs).
Title: | A GIS approach to linking spatial patterns and trip generation/trip distribution modeling. |
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Name(s): |
Harris, David Michael. Florida Atlantic University, Degree grantor Shaw, Shih-Lung, Thesis advisor Charles E. Schmidt College of Science Department of Geosciences |
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Type of Resource: | text | |
Genre: | Electronic Thesis Or Dissertation | |
Issuance: | monographic | |
Date Issued: | 1995 | |
Publisher: | Florida Atlantic University | |
Place of Publication: | Boca Raton, Fla. | |
Physical Form: | application/pdf | |
Extent: | 171 p. | |
Language(s): | English | |
Summary: | Geographic information systems (GIS) have been increasingly used in urban transportation planning and modeling. One key advantage of GIS is its ability to integrate and analyze various kinds of geographically referenced data. Modeling and analysis tools used to predict travel patterns should be shaped by changes in spatial organization that are currently taking place. Utilizing the detailed data made available by GIS, this study investigates the potential improvements offered to the conventional trip generation and trip distribution models by explicitly referencing the spatial land use and street network patterns within traffic analysis zones (TAZs). | |
Identifier: | 15174 (digitool), FADT15174 (IID), fau:11946 (fedora) | |
Collection: | FAU Electronic Theses and Dissertations Collection | |
Note(s): |
Charles E. Schmidt College of Science Thesis (M.A.)--Florida Atlantic University, 1995. |
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Subject(s): |
Geographic information systems Spatial analysis (Statistics)--Data processing Urban transportation--United States--Mathematical models |
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Held by: | Florida Atlantic University Libraries | |
Persistent Link to This Record: | http://purl.flvc.org/fcla/dt/15174 | |
Sublocation: | Digital Library | |
Use and Reproduction: | Copyright © is held by the author, with permission granted to Florida Atlantic University to digitize, archive and distribute this item for non-profit research and educational purposes. Any reuse of this item in excess of fair use or other copyright exemptions requires permission of the copyright holder. | |
Use and Reproduction: | http://rightsstatements.org/vocab/InC/1.0/ | |
Host Institution: | FAU | |
Is Part of Series: | Florida Atlantic University Digital Library Collections. |