Mingming Xiang

Mingming Xiang

orcid

Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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9 November 2018 in Sustainability
Verified
Journal Article
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MXMingming Xiang
Mingming Xiang
WZWei Zhao
Wei Zhao
JCJiao Chen
Jiao Chen
Living environment reconstruction in Wenchuan earthquake disaster-hit areas received substantial attention internationally, so it is imperative to examine out the methods employed, to evaluate community reconstruction and recovery performances. However, the existing evaluation systems for post-disaster reconstruction practices are mostly generalized models, and thus, the actual differences among various reconstruction modes and local characteristics are given insufficient attention. After 10 years of reconstruction and recovery, Dujiangyan, Beichuan, and Wenchuan have exhibited distinct differences and characteristics because of two different reconstruction modes: “paired assistance” and “self-construction”. Based on a thorough review of the literature and expert judgments, this article focuses on the introduction of evaluation factors comprising the opinions and requirements of disaster victims. Adopting the “four-step method” to select the evaluation factors through conceptual consolidation, analytical structuring, indicator identification, and index creation, this article summarizes the homogeneities and heterogeneities of the three different areas. The results reveal that people in different areas under the influences of different reconstruction modes and local characteristics will emphasize different evaluation factors and demonstrate different levels of concern for the same factor. This article analyzes the three areas and establishes an adaptable evaluation index system to provide scientific guidance to community recovery evaluations in different areas after major disasters.

18 August 2026 in Preprints.org
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Preprint
Open access
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XHXinyi Huang
Xinyi Huang
MXMingming Xiang
Mingming Xiang
SWSiqi Wang
Siqi Wang
YMYing Meng
Ying Meng
KXKai XIE
Kai XIE
JYJiefeng Yang
Jiefeng Yang
This study innovatively integrates the AHP-TOPSIS comprehensive evaluation method the Coefficient of Determination with model construct(CF)-Random Forest(RF) toadual dimensional "value-risk" assessment framework. This enables a systematic integrated evaluation of the value and geological hazard risks asso-ciated with industrial heritage sites from the Third Front Construction. Taking Lizhou District, Guangyuan City as a case study the research first identified through heritage value quantification and geological hazard zoning, sites “high-value” sites. Subsequently on five “high-risk” “high-value” heritage, and eight “low-risk”, four categories of conservation units were delineated based the “value-risk” matrix, proposing differentiated resilience enhancement pathways. This research not only provides a basis for the scientific conservation and adap-tive reuse of Third Front heritage in Lizhou District but also offers an operational theoretical and practical paradigm for the adaptive management of industrial her-itage in similar mountainous regions.

21 January 2026 in Buildings
Verified
Journal Article
Open access
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HYHongcheng Yu
Hongcheng Yu
MXMingming Xiang
Mingming Xiang
QYQianru Yang
Qianru Yang
YQYicong Qi
Yicong Qi
JXJianwu Xiong
Jianwu Xiong
XDXinyi Dong
Xinyi Dong
The industrial heritage of the Third Front construction (hereafter referred to as Third Front industrial heritage) serves as a significant physical manifestation of China’s urban society, economy, and culture during a unique historical period. Its widespread abandonment not only constitutes a waste of social resources but also accelerates the erosion of collective memory surrounding the Third Front initiative. As one of Sichuan Province’s (including present-day Chongqing) key Third Front construction regions during that era, Guangyuan City possesses a substantial legacy of Third Front industrial heritage sites. These sites are predominantly idle and face ongoing risks of deterioration, necessitating comprehensive and systematic research into their classification, protection, and regeneration. This paper focuses on 39 Third Front industrial heritage sites in Guangyuan City, employing architectural typology to construct a ‘type-medium-value’ research framework integrating field research with strategic distribution analysis at the urban level, spatial form analysis at the settlement level, and spatial combination analysis at the building level to quantitatively identify and qualitatively deconstruct the spatial logic of these sites. This enables the analysis of the functional characteristics, structural logic, and spatial intent embodied by different types, thereby exploring the multidimensional value implications of Third Front industrial heritage through this value medium. Ultimately, this research proposes targeted adaptive mechanisms and revitalisation pathways for Third Front industrial heritage. It aims to promote the cultural legacy of this heritage and perpetuate the Third Front spirit within the context of strengthening the Chinese national community consciousness in the new era, while aligning with the Party and state’s development strategies. This approach aims to provide a reference for revitalising and utilising Third Front industrial heritage in other underdeveloped regions.

6 October 2026 in Sustainability
Verified
Journal Article
Open access
PDF file
XHXinyi Huang
Xinyi Huang
MXMingming Xiang
Mingming Xiang
SWSiqi Wang
Siqi Wang
YMYing Meng
Ying Meng
KXKai XIE
Kai XIE
JYJiefeng Yang
Jiefeng Yang
This study develops a two-dimensional value–geological hazard susceptibility framework for the resilience-oriented conservation of Third Front industrial heritage. Heritage value is quantified using the AHP–TOPSIS method, while geological hazard susceptibility is predicted by coupling the Certainty Factor (CF) with Random Forest (RF), Support Vector Machine (SVM), and XGBoost models; model performance is evaluated using an independent test set. Using 24 Third Front industrial heritage sites in Lizhou District, Guangyuan City, as a case study, the research first classifies heritage value and assesses geological hazard susceptibility. The results indicate that CF–RF provides the most favorable overall performance among the three CF-coupled models, while hazard-site density generally increases with susceptibility class. Heritage value is then integrated with the CF–RF susceptibility results to construct a Value–Susceptibility Matrix. The 24 sites are classified into four groups—high value–high susceptibility, high value–low susceptibility, low value–high susceptibility, and low value–low susceptibility—comprising 4, 9, 5, and 6 sites, respectively. Differentiated pathways are proposed for these groups, including conservation under safety constraints, preventive conservation and adaptive reuse, limited intervention, and routine maintenance. By linking heritage value identification, geological hazard susceptibility assessment, and differentiated conservation strategies, the study provides a methodological reference for the sustainable conservation, adaptive reuse, and resilience management of Third Front industrial heritage in complex mountainous environments. The framework contributes to sustainability by supporting more efficient allocation of limited conservation resources, continued heritage use, and long-term adaptive management.