Graph-based representation for identifying individual travel activities with spatiotemporal trajectories and POI data

• Published in: Scientific reports Vol. 12; no. 1; pp. 15769 - 13
• Main Authors: Liu, Xinyi, Wu, Meiliu, Peng, Bo, Huang, Qunying
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 21.09.2022; Nature Publishing Group; Nature Portfolio
• Subjects: 704/844/1759; 704/844/2787; 704/844/685; Bayesian analysis; Humanities and Social Sciences; Mathematical models; multidisciplinary; Neural networks; Science; Science (multidisciplinary); Travel

Individual daily travel activities (e.g., work, eating) are identified with various machine learning models (e.g., Bayesian Network, Random Forest) for understanding people’s frequent travel purposes. However, labor-intensive engineering work is often required to extract effective features. Addition...