基于双碳目标的数智赋能港航物流优化研究

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文章编号：1002-3100（2025）18-0004-03

Research onDigital Intelligence-Enabled Optimizationof Port-ShippingLogistics Under Dual Carbon Goals

LI Zhen （Dalian University of Finance and Economics，Dalian 116loo， China）

关键词：双碳目标；数智赋能；港航物流；碳排放优化；混合整数规划中图分类号：F552.7 文献标志码：A DOI： 10.13714/j.cnki.1002-3100.2025.18.002

Abstract： Underthe dualcarbon goals （carbon peakingandcarbon neutrality），port-shippinglogistics，asa highcarbon-itensive industry，urgentlyneedstoboptimizedforsustainabledevelopment.Digitalinteligenceempowerment （digitalandintellience technologies）injectsnewmomentumintoportsippnglogistisanceseficiencyandreducescarbonfootprintswiththehelpof technologiessuchasdigitaltwin，AI，andbigdata.Tispaperdevelopsaoptimization modelofportshippinglogisticsusingdigital twintechnologyand machinelarningalgorithm，aimingtoachieveoptimaldecarbonizationthroughtheintegrationofmixed-integer programming（MP）anddeeplearnngforecasting.BasedontherepresentativeChineseportsandICCstandards，themodelisidated using simulated data and real port scenarios，which reduces carbon emissons by 15% .Further more，it analyzes the robustnessof the model under demand fluctuationand policyscenarios and providesreference forthelow-carbon transition ofglobal port-shippinglogistics.

Keywords：albals;igialteligeneepoent;rtpnglistcsaossotaon;dteer programming

0引言

我国提出“双碳目标”，明确2030年实现碳达峰，2060年实现碳中和，这对如港航物流等高碳排放行业构成了严峻挑战。（剩余4288字）