01659535

Component

Although it is important to consider multi-day activities in transportation planning, multi-day activity-travel data are expensive to acquire. In this study, the authors propose to generate multi-day activity-travel data through sampling from readily available single-day household travel survey data with considerations of day-to-day intrapersonal variability. One of the key observations the authors make is that the distribution of interpersonal variability in single-day travel activity datasets is similar to the distribution of intrapersonal variability in multi-day datasets. Thus, interpersonal variability observed in cross-sectional single-day data of a large population can be used to generate the day-to-day intrapersonal variability. The proposed sampling method is based on activity-travel pattern type clustering, travel distance and variability distribution to extract such information from single-day data. Validation and stability tests of the proposed sampling methods are presented.

This paper was sponsored by TRB committee ADB10 Standing Committee on Traveler Behavior and Values. Alternate title: Multiday Activity-Travel Pattern Sampling Based on Single-Day Data

18-01308

English

8p

2018

Transportation Research Board 97th Annual Meeting

Digital/other

Figures; References; Tables

Activity centers; Cross sectional studies; Statistical sampling; Travel patterns

Multi-day data

Planning and Forecasting; Transportation (General)

Transportation Research Board Annual Meeting 2018 Paper #18-01308

TRIS, TRB, ATRI

Jan 8 2018 10:20AM