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- Title
Interpersonal and Intrapersonal Variabilities in Daily Activity-Travel Patterns: A Networked Spatiotemporal Analysis.
- Authors
Zhang, Wenjia; Ji, Chunhan; Yu, Hao; Zhao, Yi; Chai, Yanwei; Kainz, Wolfgang; Borruso, Giuseppe
- Abstract
Interpersonal and intrapersonal variabilities are two important perspectives to understand daily travel behaviors, while only a small number of studies incorporate them for understanding human dynamics. This paper employed a network analysis approach to detecting daily activity-travel patterns of 680 Beijing's residents within a week and then used a multilevel multinomial logit model to analyze the intrapersonal variability in patterns and the socioeconomic linkages behind them. Results suggest that most activity-travel patterns have significant day-to-day intrapersonal and interpersonal variabilities. This suggests that the application of a typical day of activity-travel behaviors to measure and represent a week's or even longer-term behaviors may be biased, due to the existence of day-to-day intrapersonal variability. This study also provides a hint for the selection of days of a week to conduct a diary survey for activity pattern mining or travel demand modeling.
- Subjects
BEIJING (China); LOGISTIC regression analysis; MULTILEVEL models; SEQUENTIAL pattern mining
- Publication
ISPRS International Journal of Geo-Information, 2021, Vol 10, Issue 3, p148
- ISSN
2220-9964
- Publication type
Article
- DOI
10.3390/ijgi10030148