01622561

Component

https://doi.org/10.3141/2664-01

Some applications of travel demand forecasting require a longitudinal perspective of multiple days. The decisive advantage of the longitudinal perspective is the ability to analyze stability or variability of travel behavior. For measurement of stability, adequate indicators are required. A set of indicators for measuring stability of mode choice behavior was developed. A set of indicators is necessary because stability of mode choice has more than one facet, namely, frequency, change, and repetition. The indicators used so far to measure stability or variability of mode choice behavior consider only one aspect of stability, the frequency of modes used. Therefore, other indicators intended to capture the other aspects of stability are proposed. Applying the proposed indicators to synthetic mode choice sequences shows that they also measure aspects of stability other than frequency. For practical reasons, the set of indicators used to measure stability should be small. Correlation analysis reveals that the frequency-based stability indicators are highly correlated; therefore, it is sufficient to include one of the frequency-based indicators in the indicator set. The resulting indicator set allows the assessment of the stability of mode choice behavior for different notions of stability. As such, it might serve as a valuable tool for the calibration and validation of multiday travel demand models.

01656344

17-01942

English

pp 1–10

2017

Transportation Research Record: Journal of the Transportation Research Board

9780309442077

Digital/other

Figures (4) ; References (17) ; Tables (1)

Forecasting; Mathematical models; Mode choice; Public transit; Travel demand

Data and Information Technology; Highways; Planning and Forecasting; Public Transportation

TRIS, TRB, ATRI

Dec 8 2016 10:41AM

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