Interpersonal and Intrapersonal Variabilities in Daily Activity-Travel Patterns: A Networked Spatiotemporal Analysis

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 network analysis approach detecting activity-travel patterns 680 Beijing’s residents within week then used multilevel multinomial logit model analyze the variability in socioeconomic linkages behind them. Results suggest that most have significant day-to-day interpersonal variabilities. suggests application typical day behaviors measure represent week’s or even longer-term may be biased, due existence variability. study also provides hint selection days conduct diary survey activity pattern mining demand modeling.