乌克兰畜牧末端物流危机状态运费高21.8%：《科学报告》用2023至2025年三地数据、情景估算敏感度可降约24.2%，11月12日刊出
《科学报告》2026年11月12日刊出一项研究，分析乌克兰畜牧供应链末端物流在长期系统性波动与基础设施受扰条件下的变化。研究提出一个混合分析框架，先以随机森林递归特征消除做预测变量初筛，再以双状态马尔可夫状态转换模型识别潜在的物流状态，最后以两段式门槛模型分别估计中断概率与条件运费强度。实证数据为经核实的月度面板数据，覆盖2023年至2025年、基辅与文尼察与利沃夫三个区域物流节点，并纳入能源、安全、市场、运输与基础设施等指标。论文数字对象标识为10.1038/s41598-026-80127-7，本研究未获外部资助。
期刊摘要报告，状态转换模型识别出两个统计上不同且持续的状态，其中系统性危机状态的平均每吨运费比运营稳定状态高21.8%，且预期持续时间更长。门槛模型估计显示，安全警报与停电时长与物流中断概率正相关，停电时长与燃料价格波动与条件运费强度正相关。
摘要还报告，反事实技术情景估算显示，把超级智能辅助动态路径规划与去中心化的自主及轻型电动运输方案结合，可使运费对能源中断的估计敏感度降低约24.2%。作者明确说明，这些情景估计是基于模型的反事实模拟，不应解读为已观察到的因果效应。
（来源：《科学报告》）
Freight Costs Run 21.8 Percent Higher in the Crisis Regime of Ukrainian Livestock Logistics: A Scientific Reports Study of 2023 to 2025 Data From Three Nodes Puts a Scenario Saving at About 24.2 Percent, Published November 12
A study published in Scientific Reports on November 12, 2026, examined the transformation of last-mile logistics in Ukraine's livestock supply chains under prolonged systemic volatility and infrastructure disruption. The proposed hybrid framework integrates Random Forest Recursive Feature Elimination for predictor screening, a two-state Markov Regime-Switching model for identifying latent logistics regimes, and a two-part Hurdle model for separately estimating disruption probability and conditional freight-cost intensity. The empirical analysis uses a verified monthly panel dataset covering 2023 to 2025 across three regional logistics nodes, Kyiv, Vinnytsia and Lviv, incorporating energy, security, market, transport and infrastructure indicators. The paper carries digital object identifier 10.1038/s41598-026-80127-7, and the research received no external funding. The journal abstract reported that the regime-switching results identify two statistically distinct and persistent freight-cost regimes, with the systemic-crisis regime characterized by a 21.8 percent higher mean Freight Cost Per Ton and a longer expected duration than the operational-stability regime. The Hurdle estimates showed that Security Alerts and Power Outage Hours are positively associated with the probability of logistics disruption, while Power Outage Hours and Fuel Price Volatility are positively associated with conditional freight-cost intensity. Counterfactual technological scenarios further indicated that combining AI-assisted dynamic routing with decentralized autonomous and light electric transport solutions could reduce the estimated sensitivity of freight costs to energy disruptions by approximately 24.2 percent. The authors stated that the scenario estimates are model-based counterfactual simulations and should not be interpreted as observed causal effects.
(Source: Scientific)
来源：《科学报告》
发布：GSM·美国（发布链接）
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