Author Type

Graduate Student

Date of Award

1995

Document Type

Thesis

Publication Status

Version of Record

Submission Date

October 2026

Thesis/Dissertation Advisor [Chair]

Shaw, Shih-Lung

Abstract

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).

Extent

171 p.

Comments

Charles E. Schmidt College of Science|FAU Electronic Theses and Dissertations Collection|Thesis (M.A.)--Florida Atlantic University, 1995.|Charles E. Schmidt College of Science

Identifier

FADT15174

Format

pdf

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