Welcome to Francis Academic Press

The Frontiers of Society, Science and Technology, 2023, 5(1); doi: 10.25236/FSST.2023.050115.

Analysis and Evaluation of Land Use Status in Tianjin


He Nanfeng

Corresponding Author:
He Nanfeng

School of Public Administration, Sichuan University, Chengdu, China


This paper selects the land use data of Tianjin from 2009 to 2018, analyzes the quantity and structure of its land use, and then uses AHP, entropy method and comprehensive evaluation method to evaluate the degree and benefit of land use in Tianjin, aiming at reflecting the status and utilization of land resources in Tianjin, clarifying the problems in land use, and providing guidance for the rational use of land resources through objective analysis. The results show that the land use in Tianjin is at the stage of "preliminarily rational use", the overall benefits of land use are good, and the level of land development and intensive utilization needs to be further improved.


Analysis and evaluation of land use status; AHP; Entropy method; Tianjin

Cite This Paper

He Nanfeng. Analysis and Evaluation of Land Use Status in Tianjin. The Frontiers of Society, Science and Technology (2023) Vol. 5, Issue 1: 78-83. https://doi.org/10.25236/FSST.2023.050115.


[1] Wang Kun, Ma Zhenxing, Meng Weiqing. (2016). Research on Implementation evaluation of land use master plan: A case study of Tianjin. Journal of Tianjin Normal University (Natural Science Edition), (03),38-43.

[2] Li Hongtao, He Hong. (2010). Evaluation on Actual Land Use of Shenyang Based on Weighted Lease Square Method. China Population, Resources and Environment, (S2),115-118.

[3] Ke Xinli. (2008). Evaluation and analysis of land use status based on AHP method. Scientific and Technological Management of Land and Resources, (04),57-60.

[4] Wang Jing, Zhang Jinsuo. (2001). Comparing Several Methods of Assuring Weight Vector in Synthetic Evaluation. Journal of Hebei University of Technology, (02),52-57.

[5] Yang Yu. (2006). Analysis on Weighting Method in Multi-index comprehensive evaluation. Statistics & Decision, (13), 17-19.