To effectively utilize existing underground space
resources and facilitate the implementation of urban renewal action, herein, a
decision treebased planning assessment method for the renewal and transformation
modes of aged urban underground space projects is proposed. Furthermore, based
on the case studies of exemplary aged underground space projects around the
world, the renewal and transformation modes of such space projects are divided
into seven principal categories (underground dynamic transportation, municipal
utility, storage and logistics, commerce, entertainment, community service, and
static transportation) and 21 subcategories. A characteristic index system for
factors influencing the renewal and transformation modes is established, which
includes land type, structure form, area, buried depth, and surrounding
location conditions. Additionally, a sample set comprising 24 basic samples and
1 605 constructed samples is built for the decision tree of aged underground
space project renewal. According to the characteristics of aged urban
underground space projects, a strong correspondence principle of
"principal categoriessubcategories" is
proposed in the decision tree method along with a suitable reliability
evaluation and quadratic decision method for the decision tree. Results of the
model assessment indicate that the prediction accuracy of the proposed method
can guarantee a reliable decisionmaking process. A
case study of the Zhongshan road area, Qingdao, shows strong feasibility of the
proposed theoretical method.
LUAN Yongpeng
,
LU Chunfang
,
QIAO Yongkang
,
PENG Fangle
. Decision TreeBased Planning Assessment
Method for Renewal and Transformation Modes of Aged
Urban Underground Space Projects[J]. Tunnel Construction, 2023
, 43(9)
: 1473
-1484
.
DOI: 10.3973/j.issn.2096-4498.2023.09.004
