Digital Evaluation of Potential Value of Urban Underground Space Resources

The digital evaluation of the potential value of urban underground space resources is crucial for their orderly development and scientific utilization. Based on the socio-economic attributes of underground space resources, and considering factors that influence their value, such as urban planning, traffic conditions, location, social conditions, and economic conditions, this study constructs an index system for evaluating the potential value of urban underground space resources. Using the Analytic Hierarchy Process (AHP) and multi-objective weighting method, an evaluation model was established. Zhuhai City was used as a case study to digitally assess the potential value of its urban underground space resources. The evaluation results categorize the digitalized potential value of Zhuhai's underground space into four levels: low, medium, relatively high, and high. The city's underground space resources are found to have relatively high potential value, with spatial distribution primarily controlled by planning, location, and transportation conditions. A clear clustering and scale effect are observed in the spatial distribution, with high-potential areas concentrated in districts such as Gongbei, Cuixiang, and Meihua of Xiangzhou District, mainly in the shallow underground layers. The findings accurately reflect the potential value of underground space resources and offer practical application value, providing key references for the digital management and decision-making processes of government authorities.

Authors

Institutions

Publication Details

Published
2024-11-20
DOI
https://doi.org/10.1109/dsins64146.2024.10992141
Primary Topic
Underground infrastructure and sustainability
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Digital Evaluation of Potential Value of Urban Underground Space Resources

Ao Zhang, Xingwen Zhao, Xuan Huang
Underground infrastructure and sustainability
article

Digital Evaluation of Potential Value of Urban Underground Space Resources

Ao Zhang, Xingwen Zhao, Xuan Huang
article en

Abstract

The digital evaluation of the potential value of urban underground space resources is crucial for their orderly development and scientific utilization. Based on the socio-economic attributes of underground space resources, and considering factors that influence their value, such as urban planning, traffic conditions, location, social conditions, and economic conditions, this study constructs an index system for evaluating the potential value of urban underground space resources. Using the Analytic Hierarchy Process (AHP) and multi-objective weighting method, an evaluation model was established. Zhuhai City was used as a case study to digitally assess the potential value of its urban underground space resources. The evaluation results categorize the digitalized potential value of Zhuhai's underground space into four levels: low, medium, relatively high, and high. The city's underground space resources are found to have relatively high potential value, with spatial distribution primarily controlled by planning, location, and transportation conditions. A clear clustering and scale effect are observed in the spatial distribution, with high-potential areas concentrated in districts such as Gongbei, Cuixiang, and Meihua of Xiangzhou District, mainly in the shallow underground layers. The findings accurately reflect the potential value of underground space resources and offer practical application value, providing key references for the digital management and decision-making processes of government authorities.

China Geological Survey (CN), Hubei Provincial Water Resources and Hydropower Planning Survey and Design Institute (CN)
Sustainable cities and communities
Openalex Percentile: Top 69%
Underground infrastructure and sustainability
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Digital Evaluation of Potential Value of Urban Underground Space Resources — Ao Zhang, Xingwen Zhao, et al. · (2024) | TGRS Research Map | TGRS