Xiangling Hu

Prof. Dr. Xiangling Hu

orcid

Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

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

Representative Publications

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4 January 2024 in European Journal of Operational Research
Verified
Journal Article
Closed access
QLQihui Lu
Qihui Lu
CLChanghua Liao
Changhua Liao
MCMeilan Chen
Meilan Chen
Victor ShiVictor Shi
Victor Shi
XHXiangling Hu
Xiangling Hu
WHWeiwei Hu
Weiwei Hu

9 August 2012 in Annals of Operations Research
Verified
Journal Article
Closed access
PDF file
XHXiangling Hu
Xiangling Hu
CMCharles L. Munson
Charles L. Munson
SFStergios B. Fotopoulos
Stergios B. Fotopoulos

2 December 2024 in Sustainability
Verified
Journal Article
Open access
PDF file
LGLili Gan
Lili Gan
XHXiangling Hu
Xiangling Hu
JMJaideep Motwani
Jaideep Motwani
This research critically examines the relationship between agricultural ecological protection and the sustainability of food production within the Yangtze River Economic Belt, a crucial area for China’s environmental and food sustainability. By developing a comprehensive evaluation framework, this study utilizes various analytical tools, such as entropy weight, comprehensive index models, coupling degree, coupling coordination, and relative development degree, to assess the interaction and degree of correlation influencing these systems. Key findings indicate that while the ecological protection index slightly declined from 2002 to 2022, indicators of food sustainability and overall development trended upwards, albeit with fluctuations. The study reveals an overall positive coupling degree and an increasing trend in coordination between ecological protection and food sustainability. The coordination index plays a crucial role in improving coupling coordination, and at the same time ecological factors play a more important role in this dynamic than factors related to food sustainability. In addition, this study identified stages of maladaptation and uncoordinated levels which further help to understand the complexity of the problem. The results underscore the need for improved strategies to manage the interplay between these critical domains, enhancing both ecological conservation and food sustainability.

20 August 2025 in Mathematics
Verified
Journal Article
Open access
PDF file
QZQiaoling Zou
Qiaoling Zou
XJXinyan Jiang
Xinyan Jiang
XHXiangling Hu
Xiangling Hu
WZWanyu Zheng
Wanyu Zheng
DLDongling Li
Dongling Li
(1) Background: Traditional logistics training faces challenges like high costs, limited scalability, and safety risks. Virtual Reality Movie Training (VRMT) enhances operational accuracy, safety, and accessibility through immersive simulation. However, adoption faces barriers including high equipment costs, immature technology, and coordination challenges among logistics enterprises, design companies, and government entities. This study explores strategic interactions to optimize VRMT adoption. (2) Methods: A tripartite evolutionary game model was used to analyze strategic interactions between logistics enterprises, design companies, and government. (3) Results: System stability occurs when logistics enterprises adopt VRMT, design companies deliver high-quality solutions, and government provides active support. Simulations reveal stronger adoption coefficients through increased employee acceptance and enhanced training quality. Government incentives and brand premiums significantly influence quality design provision, though excessive subsidies may reduce governmental willingness to support initiatives. (4) Conclusions: Cost minimization and accessibility improvement require batch hardware purchasing, optimized training cycles, and shared platforms at logistics enterprises. Design companies should optimize content development for cost-effectiveness while maintaining quality standards to leverage brand benefits. Governments should establish VRMT quality certification, invest in public VR platforms for SMEs, and convert accident savings into fiscal supplements. This tripartite collaboration enables efficient, safe, and sustainable logistics training transformation.