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Assessing Waterway Carrying Capacity from a Multi-Benefit Synergistic Perspective

Yanyi Chen, Bozhong Zhou, Xiaofeng Pan (), Hao Zhang, Honglu Qian, Wen Cheng and Weiqing Yin
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Yanyi Chen: School of Transportation and Logistics Engineering, Wuhan University of Technology, Wuhan 430063, China
Bozhong Zhou: School of Transportation and Logistics Engineering, Wuhan University of Technology, Wuhan 430063, China
Xiaofeng Pan: Intelligent Transportation Systems Research Center, Wuhan University of Technology, Wuhan 430063, China
Hao Zhang: School of Management, Wuhan University of Technology, Wuhan 430063, China
Honglu Qian: Changjiang Institute of Survey, Planning, Design and Research, Wuhan 430010, China
Wen Cheng: Changjiang Institute of Survey, Planning, Design and Research, Wuhan 430010, China
Weiqing Yin: Changjiang Institute of Survey, Planning, Design and Research, Wuhan 430010, China

Sustainability, 2024, vol. 16, issue 11, 1-27

Abstract: To support decision-making on the sustainable development of inland waterways, this paper proposes a framework for evaluating their waterway carrying capacity (WCC) from the perspective of different stakeholders and introduces an improved assessment method for WCC that combines the fuzzy belief rule and Bayesian network. Compared with traditional assessment methods, the proposed one can integrate the synergy of waterway multi-benefits into the carrying capacity and improve the accuracy of WCC assessment with data uncertainty. The method was applied to an empirical case of the middle Yangtze River from Yichang to Hukou, in which the current development status and the optimal development size in the future were obtained. The results and conclusions can provide insights and support for decision-making toward the development and maintenance of inland waterways.

Keywords: waterway carrying capacity; synergy; Bayesian network; fuzzy belief rule; Middle Yangtze River (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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