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Interpersonal and Intrapersonal Variabilities in Daily Activity-Travel Patterns: A Networked Spatiotemporal Analysis.
- Source :
-
ISPRS International Journal of Geo-Information . Mar2021, Vol. 10 Issue 3, p148. 1p. - Publication Year :
- 2021
-
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. [ABSTRACT FROM AUTHOR]
- Subjects :
- *LOGISTIC regression analysis
*MULTILEVEL models
*SEQUENTIAL pattern mining
Subjects
Details
- Language :
- English
- ISSN :
- 22209964
- Volume :
- 10
- Issue :
- 3
- Database :
- Academic Search Index
- Journal :
- ISPRS International Journal of Geo-Information
- Publication Type :
- Academic Journal
- Accession number :
- 149514286
- Full Text :
- https://doi.org/10.3390/ijgi10030148