@article{Li2026, 
author = {Yueheng Li and Shaojuan Wang and Ning Wang and Shengtong Di},
title = {Suitability Evaluation of Underground Space Development in Coastal Cities Based on ArcGIS},
year = {2026},
journal = {Chinese Journal of Underground Space and Engineering},
volume = {22},
number = {1},
pages = {29-37},
keywords = {combination weighting, ArcGIS, underground space development, coastal city, evaluation index system},
url = {https://www.sciopen.com/article/10.20174/j.JUSE.2026.01.04},
doi = {10.20174/j.JUSE.2026.01.04},
abstract = {The underground space development is an important way for the rapid development of urban construction, and the suitability evaluation of underground space development is the primary work for the development and utilization of urban underground space resources. Coastal cities are more complex than inland cities, and the factors affecting the underground space development are also quite abundant. Taking the shallow layer (0~20 m) of the northern plain of Weifang City, Shandong Province as the research area, the index factors affecting the underground space development are fully investigated and analyzed, and a combining subjective and objective weighting method of the improved the structural CRITIC is used to determine the weight of the index. At the same time, the results of the suitability of underground space development in the study area were also visualized by weighting the sum of evaluation factors based on ArcGIS. The results show that: (1) The proposed improved the structural CRITIC weighting method not only increases the objectivity but also retains the weight of important factors. Compared with the traditional single weighting method, the combining subjective and objective weighting method is more scientific. (2) Fault structure, groundwater abundance and water level depth occupy an important position in the index, and the weights are 19.4 %, 12.2 % and 11.3 % respectively. (3) The percentage of area in the very suitable part is 12.6%, the more suitable area is 31.84%, the generally suitable area is 31.03%, the less suitable area is 18.93%, and the least suitable area is 5.59%.}
}