00373349

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http://onlinepubs.trb.org...s/trr/1982/879/879-002.pdf

https://scholar.google.co...+Pas&publication_year=1982

One phase of a research study designed to enhance our understanding of urban travel behavior is discussed. In particular, this paper comprises the description, evaluation, and interpretation of analytically derived classifications of daily travel-activity behavior. A methodology that facilitates systematic identification of groups of similar travel-activity patterns is used to derive the typologies reported and examined here. This methodology is applied to a sample of 236 daily travel-activity patterns drawn from the Baltimore travel demand data set. Each of the sample observations is described by the set of stops made in a 24-h period; each stop is characterized by activity and time of day. The paper explores the hypothesis that a set of daily travel-activity patterns can usefully be described by its membership in a limited number of interpretable general classes. The results reported here show that the 236 daily patterns can be grouped into between 12 and 5 relatively homogeneous groups while retaining between 64 and 46 percent of the information in the data. The results also show that the clusters may be interpreted by defining a small number of representative daily travel-activity patterns for each group. The analytically derived general classes of travel-activity behavior that are described and examined define a categorical response variable for use in models and analyses of daily urban travel behavior.

Publication of this paper sponsored by Committee on Traveler Behavior and Values. Distribution, posting, or copying of this PDF is strictly prohibited without written permission of the Transportation Research Board of the National Academy of Sciences. Unless otherwise indicated, all materials in this PDF are copyrighted by the National Academy of Sciences. Copyright © National Academy of Sciences. All rights reserved.

01411676

pp 9-15

1982

Transportation Research Record

030903406X

Print

Figures (4) ; References (22) ; Tables (2)

Data collection; Demographics; Socioeconomic factors; Transportation planning; Travel behavior; Travel patterns; Travel time; Urban transportation

Economics; Highways; Planning and Forecasting; Public Transportation; Society; I72: Traffic and Transport Planning

TRIS, TRB

Jun 30 1983 12:00AM

• LIFE CYCLE AND HOUSEHOLD TIME-SPACE PATHS: EMPIRICAL INVESTIGATION
• LIFE-STYLE SEGMENTATION IN TRAVEL-DEMAND ANALYSIS
• PATTERNS OF TIME-BUDGET EXPENDITURE IN NIGERIA
• TRAVEL-TIME BUDGET: A CRITIQUE (DISCUSSION)