Mining the Sequence Pattern of Functional Zones to Analyze the Spatial Layout of Port Cites in Coastal Zones

ABSTRACT

To study the impact of port changes on the urban functional structure and reveal the interactive relationship between ports and cities, a functional sequence extraction model (FSEM) is constructed in this study. The model employs a fan-shaped sampling method to divide experimental areas, extracts the functional zone sequence from sea to land along each sample line to establish the sample data set and mines the optimal functional sequence in each experimental area through association rules. Qingdao Port, Johor Port, and Manila Port are selected as experimental areas to verify the model, and the random forest (RF) model is adopted to identify the urban functional zones during different periods. The results indicate that the development of ports has a profound impact on the spatial configuration and structure of functional zones from sea to land. This method is conducive to solving the technical problems associated with the spatial and interactive development of port cities and provides a model reference for studies of the spatial correlation in other regions. Only by overall control and planning, overall coordination of the distribution of various functional areas, and reasonable spatial layout will the development of ports and cities be sustainable.

KEYWORDS:

• functional zoning
• association rule mining
• spatial layout
• port–city relationship

Disclosure Statement

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

J. F. Yan

J. F. Yan is an associate professor at the College of Geodesy and Geomatics, Shandong University of Science and Technology, China.

B. Liu

B. Liu is a master's student at the College of Geodesy and Geomatics, Shandong University of Science and Technology, China.

J. B. Bai

J. B. Bai is a master's student at the College of Geodesy and Geomatics, Shandong University of Science and Technology, China.

F. Z. Su

F. Z. Su is director of the State Key Laboratory of Resource and Environmental Information Systems, Chinese Academy of Sciences.

C. C. Miao

C. C. Miao is a master's student at the College of Geodesy and Geomatics, Shandong University of Science and Technology, China.