Spatiotemporal Big Data Analytics and Applications in Urban Studies

• Published in: Computational Methods and GIS Applications in Social Science - Lab Manual pp. 249 - 259
• Main Authors: Liu, Lingbo, Wang, Fahui
• Format: Book Chapter
• Language: English
• Published: United Kingdom CRC Press 2024; Taylor & Francis Group
• Edition: 1
• Subjects: Taxi Id; Case Study 14A; Geospatial Big Data; Column Selection; Gps Satellite; Case Study 14B; Spatiotemporal Big Data; Taxi Trajectory Data; Kernel Density Estimation; Create Grid; Top Input; Serial Column; Column Id; Joiner Node; Bottom Input; Health Informatics; 2SFCA Method; Taxi Trajectory; Taxi Trip; CSV File; Aggregation Method; Line Node; Left Table; Group Column; Groups Tab
• ISBN: 9781032302430; 1032302437
• DOI: 10.1201/9781003304357-14

One major challenge in urban studies is to examine the spatiotemporal dynamics of human mobility in cities, especially in fine spatial and temporal resolutions. The availability of big data and rising computational power provide us an unprecedented opportunity to address this challenge quickly and effectively. This case study uses taxi trajectory data in Shanghai as an example to illustrate how to process and analyze spatiotemporal big data in KNIME. One major challenge in urban studies is to examine the spatiotemporal dynamics of human mobility in cities, especially in fine spatial and temporal resolutions. The availability of big data and rising computational power provide us an unprecedented opportunity to address this challenge quickly and effectively. This chapter utilizes taxi trajectory data in Shanghai as an example to illustrate how to process and analyzes spatiotemporal big data in KNIME. It constructs taxi trajectories through the road network from individual taxi trip records. The subset of taxi trajectory data reveals remarkable details of traffic intensity in Shanghai by visualization with transparency. The records sharing the same value in the column theory of computation (TOC) are the component points of an entire taxi trip, such as all the records with a TOC label.