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Title:

Stated Adaptation Survey of Activity Rescheduling: Empirical and Preliminary Model Results
Cover of Stated Adaptation Survey of Activity Rescheduling: Empirical and Preliminary Model Results

Accession Number:

01047556

Record Type:

Component

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Order URL: http://www.trb.org/Main/Public/Blurbs/159663.aspx

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Order URL: http://worldcat.org/isbn/9780309104487

Abstract:

This paper describes an analysis of activity rescheduling responses to an unexpected 1-h delay in getting to an activity. To focus on this rescheduling scenario, a stated adaptation survey technique was developed in which the hypothetical scenario of an unexpected 1-h delay was introduced to a randomly chosen activity from the observed 2-day executed activity schedules of respondents. This paper describes the survey technique used to elicit stated adaptation responses to this conflict, an exploratory univariate analysis of the explanatory factors, and the results of a simple multinomial logistic regression model that attempts to explain the combined effects of a variety of explanatory variables. Finally, a comparison is made with other revealed preference data from an interactive scheduling process survey to shed light on the differences in rescheduling strategies for activity conflicts without forewarning. Attributes of the activity are the major influences behind the type of rescheduling actions taken. The only person and household attributes found to influence the response significantly are the involvement of children in the activity and the student status of the individual for whom the delay occurs. Schedule attributes are not found to have a significant effect. Some new evidence suggests that when conflicts occur with little forewarning, people are less likely to skip or change the day of the activity and more likely to shorten it, where possible, or shift it to another part of the day.

Monograph Accession #:

01088122

Language:

English

Authors:

Roorda, Matthew J
Andre, Brandon Kurt

Pagination:

pp 45-54

Publication Date:

2007

Serial:

Transportation Research Record: Journal of the Transportation Research Board

Issue Number: 2021
Publisher: Transportation Research Board
ISSN: 0361-1981

ISBN:

9780309104487

Media Type:

Print

Features:

Figures (1) ; References (18) ; Tables (6)

Subject Areas:

Highways; Planning and Forecasting; I72: Traffic and Transport Planning

Files:

TRIS, TRB, ATRI

Created Date:

Feb 8 2007 4:45PM

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