Cold-chain logistics system(CCLS)plays the role of collecting and managing the logistics data of frozen food.However,there always exist problems of information loss,data tampering,and privacy leakage in traditional ce...Cold-chain logistics system(CCLS)plays the role of collecting and managing the logistics data of frozen food.However,there always exist problems of information loss,data tampering,and privacy leakage in traditional centralized systems,which influence frozen food security and people’s health.The centralized management form impedes the development of the cold-chain logistics industry and weakens logistics data availability.This paper first introduces a distributed CCLS based on blockchain technology to solve the centralized management problem.This system aggregates the production base,storage,transport,detection,processing,and consumer to form a cold-chain logistics union.The blockchain ledger guarantees that the logistics data cannot be tampered with and establishes a traceability mechanism for food safety incidents.Meanwhile,to improve the value of logistics data,a Stackelberg game-based resource allocation model has been proposed between the logistics data resource provider and the consumer.The competition between resource price and volume balances the resource supplement and consumption.This model can help to achieve an optimal resource price when the Stackelberg game obtains Nash equilibrium.The two participants also can maximize their revenues with the optimal resource price and volume by utilizing the backward induction method.Then,the performance evaluations of transaction throughput and latency show that the proposed distributed CCLS is more secure and stable.The simulations about the variation trend of data price and amount,optimal benefits,and total benefits comparison of different forms show that the resource allocation model is more efficient and practical.Moreover,the blockchain-based CCLS and Stackelberg game-based resource allocation model also can promote the value of logistic data and improve social benefits.展开更多
Data security and user privacy are two main security concerns in the cold-chain logistics system(CCLS).Many security issues exist in traditional CCLS,destroying data security and user privacy.The digital signature can...Data security and user privacy are two main security concerns in the cold-chain logistics system(CCLS).Many security issues exist in traditional CCLS,destroying data security and user privacy.The digital signature can provide data verification and identity authentication based on the mathematical difficulty problem for logistics data sharing in CCLS.This paper first established a blockchain-enabled cold-chain logistics system(BCCLS)based on union blockchain technology,which can provide secure data sharing among different logistics nodes and guarantee logistics data security with the untampered blockchain ledger.Meanwhile,a lattice-based undeniable signature scheme is designed to strengthen the security of logistics data and user privacy against quantum attacks.This scheme is based on the lattice assumption,which can provide anti-quantum security for BCCLS in the future quantum computer age.It also establishes the undeniable mechanism that guarantees that the actual signer cannot deny a valid signature.Then,security proof shows that this undeniable signature scheme is correct and safe,and an efficiency comparison shows that it is more efficient than other schemes in similar literature.The performance evaluations of transaction throughput and latency show that the proposed BCCLS is efficient and practical.This work can improve the security and efficiency of logistics data management and promote the reform and development of the logistics industry.展开更多
Cold-chain demand of fresh agricultural products is increasing in China, while network layout of cold-chain logistics is in disorder and its cost is huge. To address this problem, this paper casts an optimal model of ...Cold-chain demand of fresh agricultural products is increasing in China, while network layout of cold-chain logistics is in disorder and its cost is huge. To address this problem, this paper casts an optimal model of cold-chain logistics network and tackles it with genetic algorithms. This optimal model takes running total cost of logistics network as the objective, and embeds a nonlinear mixed integer programming including two assignment issues. The model determines optimal layout and logistics management for pre-cooling stations and logistics center for fresh agricultural products. Our main contribution is to consider construction cost and operation cost of cold chain logistics simultaneously. Case study illustrates the effectiveness of the model.展开更多
This paper firstly analyzed the operation model,market positioning,market demand forecast as well as market competition and challenges,park site selection,and transportation conditions for construction of the Cold-Cha...This paper firstly analyzed the operation model,market positioning,market demand forecast as well as market competition and challenges,park site selection,and transportation conditions for construction of the Cold-Chain Logistics Park of Agricultural Products in Sanshui.Then,it presented the overall planning scheme for construction of the Cold-Chain Logistics Park of Agricultural Products from a progressive two-stage perspective of overall planning and stage-by-stage implementation.The first stage mainly performs the function as a transaction platform of agricultural products and meanwhile provides customers with agricultural products storage and inspection services.The second stage adds value-added services such as distribution processing,modified atmosphere storage,freezing and refrigeration,market price information distribution,E-commerce of agricultural products and personalized services.It is expected to provide references and suggestions for the construction of the Cold-Chain Logistics Park of Agricultural Products.展开更多
In this paper, we conduct research on challenges of cold-chain logistics and combination ways with logistics O2O operation. Because of the cold chain logistics to the high requirement of the equipment, technology as c...In this paper, we conduct research on challenges of cold-chain logistics and combination ways with logistics O2O operation. Because of the cold chain logistics to the high requirement of the equipment, technology as caused the high cost of cold chain logistics. In the overall cost of China’s logistics is on the high side, under the condition of low profi t, many enterprises to enter and don’t have much interest in the field of cold chain logistics. So-called cold chain logistics is frozen food in the production, storage, transportation, sales, remain the regulations to the consumption of each link in the cold chain environment, to ensure the food quality, reduce loss of food and system engineering. Under this basis, we propose the O2O based logistics pattern that will solve the issues well.展开更多
Shenzhen,a major city in southern China,has experienced rapid advancements in Unmanned Aerial Vehicle(UAV)technology,resulting in extensive logistics networks with thousands of daily flights.However,frequent disruptio...Shenzhen,a major city in southern China,has experienced rapid advancements in Unmanned Aerial Vehicle(UAV)technology,resulting in extensive logistics networks with thousands of daily flights.However,frequent disruptions due to its subtropical monsoon climate,including typhoons and gusty winds,present ongoing challenges.Despite the growing focus on operational costs and third-party risks,research on low-altitude urban wind fields remains scarce.This study addresses this gap by integrating wind field analysis into UAV path planning,introducing key innovations to the classical model.First,UAV wind resistance and turbulence constraints are analyzed,mapping high-wind-speed and turbulence-prone zones in the airspace.Second,wind dynamics are incorporated into path planning by considering airspeed and groundspeed variation,optimizing waypoint selection and flight speed adjustments to improve overall energy efficiency.Additionally,a wind-aware Theta*algorithm is proposed,leveraging wind vectors to expedite search process,while Computational Fluid Dynamics(CFD)techniques are employed to calculate wind fields.A case study of Shenzhen,examining wind patterns over the past decade,demonstrates a 6.23%improvement in groundspeed and a 7.69%reduction in energy consumption compared to wind-agnostic models.This framework advances UAV logistics by enhancing route safety and energy efficiency,contributing to more cost-effective operations.展开更多
目的构建留守与非留守中学生自伤的风险预测模型,为制定针对性的干预措施提供科学依据。方法2021年9月―2023年6月采用多阶段抽样方法,在留守儿童分布相对集中的6个省份中抽取14623名<18岁的中学生(留守8471名,非留守6152名)作为研...目的构建留守与非留守中学生自伤的风险预测模型,为制定针对性的干预措施提供科学依据。方法2021年9月―2023年6月采用多阶段抽样方法,在留守儿童分布相对集中的6个省份中抽取14623名<18岁的中学生(留守8471名,非留守6152名)作为研究对象。通过问卷调查收集研究对象的一般情况、创伤性事件和自伤发生情况。分析不同特征留守与非留守中学生自伤的发生情况。采用R 4.3.0软件按照7∶3的比例分别将留守与非留守中学生随机划分为训练集与测试集,构建logistic回归分析模型和随机森林模型,通过受试者工作特征曲线、灵敏度、特异度等指标评估模型性能。结果中学生自伤总体发生率为25.7%,留守中学生自伤发生率高于非留守中学生(χ^(2)=59.266,P<0.001)。Logistic回归分析模型分析结果显示,留守与非留守中学生预测模型训练集的曲线下面积(area under the curve,AUC)分别为0.745和0.756,测试集的AUC分别为0.721和0.726,Hosmer-Lemshow拟合优度检验P>0.05。随机森林模型中,留守中学生自伤的主要预测因素为经历创伤性事件、家庭氛围、和父亲/母亲关系等,模型的灵敏度、特异度、阳性预测值、阴性预测值和F1指数分别为0.740、0.591、0.822、0.470和0.779,Brier分数为0.212,训练集和测试集的AUC分别为0.800和0.729。非留守中学生则以经历创伤性事件、家庭氛围、父母感情状况等为主,模型的灵敏度、特异度、阳性预测值、阴性预测值和F1指数分别为0.785、0.519、0.850、0.411和0.816,Brier分数为0.188,训练集和测试集的AUC分别为0.845和0.724。结论留守中学生自伤风险高于非留守中学生,二者的预测因素虽有不同,但存在高度重叠,其中创伤经历和家庭因素是关键预测变量。两种模型对自伤的识别能力良好,但随机森林模型综合性能更优,本研究构建的预测模型可为早期识别高危人群提供科学依据。展开更多
【目的】拟预测江西省吉安市森林火灾发生概率,为吉安市森林火灾精准防控提供科学依据。【方法】基于2001—2020年MODIS火点数据,结合气象、地形、植被及人类活动等多维因子,分析江西省吉安市森林火灾的时空分布特征及其驱动机制。采用...【目的】拟预测江西省吉安市森林火灾发生概率,为吉安市森林火灾精准防控提供科学依据。【方法】基于2001—2020年MODIS火点数据,结合气象、地形、植被及人类活动等多维因子,分析江西省吉安市森林火灾的时空分布特征及其驱动机制。采用多重共线性诊断和相关性分析筛选关键影响因子,构建了Logistic回归(binary logistic regression)模型,预测森林火灾发生概率,并利用混淆矩阵和曲线下面积(area under the curve,AUC)评估模型性能。【结果】(1)吉安市森林火灾年际变化呈5年周期性波动,主要发生在9月至次年4月,空间分布呈现北多南少、西多东少的特征;(2)人口密度、上月植被指数、海拔、本月降雨量、上月温度和灯光指数是火灾发生的主要驱动因子,其中本月降雨量和灯光指数与火灾风险呈正相关,其余因子呈负相关;(3)火灾发生概率在0.2~0.7,永丰县、安福县、永新县、吉安县和遂川县为高风险区;(4)模型AUC值为0.748,具有较好的预测能力。【结论】研究可为吉安市森林火灾风险管理提供科学依据,建议在高风险区域加强监测预警,并针对不同驱动因子采取差异化防控措施。展开更多
Purpose–This paper aims to provide a comprehensive analysis of the strategic adjustments in China’s transportation structure,with a particular focus on the pivotal role of railway freight and its integration into th...Purpose–This paper aims to provide a comprehensive analysis of the strategic adjustments in China’s transportation structure,with a particular focus on the pivotal role of railway freight and its integration into the modern logistics system.It seeks to address the need for a more nuanced understanding of the“road to rail”policy,emphasizing the importance of intermodal collaboration and service of fragmented market demands.Design/methodology/approach–The study employs a transport economics perspective to evaluate the achievements and shortcomings of China’s transportation structure optimization.It bases its assessment of the current state of railway freight logistics,multi-modal transportation and the broader implications for the transportation service market on data analysis.The methodology includes a review of existing policies,an examination of industry practices and a comparative analysis with global trends in railway logistics.Findings–The research underscores the importance of focusing on the development of non-bulk materials,noting the insufficiency in the development of China’s rail multi-modal transportation and highlighting the instructive value of successful cases in open-top container road-rail intermodal transportation.The study posits that the railway sector must enhance cooperation with other market entities,aligning with the lead enterprises in the logistics chain that are characterized by speed,high value and strong coordination capabilities,in order to better serve the transportation market.This approach moves away from a reliance on the railway’s own capabilities alone.Originality/value–This paper offers original insights into the transformation of railway freight in China,contributing to the body of knowledge on transportation economics and logistics.It provides valuable recommendations for policymakers and industry practitioners,emphasizing the strategic importance of railway logistics in the context of China’s economic development and intense competition in the supply chain.The value of the article lies in its comprehensive understanding of the complexities involved in the adjustment of transportation structures,providing direction for the market-oriented reform of China’s railway freight sector.展开更多
基金supported by the National Natural Science Foundation of China under Grant 92046001,61962009the Doctor Scientific Research Fund of Zhengzhou University of Light Industry underGrant 2021BSJJ033Key ScientificResearch Project of Colleges andUniversities in Henan Province(CN)under Grant No.22A413010.
文摘Cold-chain logistics system(CCLS)plays the role of collecting and managing the logistics data of frozen food.However,there always exist problems of information loss,data tampering,and privacy leakage in traditional centralized systems,which influence frozen food security and people’s health.The centralized management form impedes the development of the cold-chain logistics industry and weakens logistics data availability.This paper first introduces a distributed CCLS based on blockchain technology to solve the centralized management problem.This system aggregates the production base,storage,transport,detection,processing,and consumer to form a cold-chain logistics union.The blockchain ledger guarantees that the logistics data cannot be tampered with and establishes a traceability mechanism for food safety incidents.Meanwhile,to improve the value of logistics data,a Stackelberg game-based resource allocation model has been proposed between the logistics data resource provider and the consumer.The competition between resource price and volume balances the resource supplement and consumption.This model can help to achieve an optimal resource price when the Stackelberg game obtains Nash equilibrium.The two participants also can maximize their revenues with the optimal resource price and volume by utilizing the backward induction method.Then,the performance evaluations of transaction throughput and latency show that the proposed distributed CCLS is more secure and stable.The simulations about the variation trend of data price and amount,optimal benefits,and total benefits comparison of different forms show that the resource allocation model is more efficient and practical.Moreover,the blockchain-based CCLS and Stackelberg game-based resource allocation model also can promote the value of logistic data and improve social benefits.
基金This work was supported by the National Natural Science Foundation of China under Grant 92046001,61962009the Doctor Scientific Research Fund of Zhengzhou University of Light Industry underGrant 2021BSJJ033Key ScientificResearch Project of Colleges andUniversities in Henan Province(CN)under Grant No.22A413010.
文摘Data security and user privacy are two main security concerns in the cold-chain logistics system(CCLS).Many security issues exist in traditional CCLS,destroying data security and user privacy.The digital signature can provide data verification and identity authentication based on the mathematical difficulty problem for logistics data sharing in CCLS.This paper first established a blockchain-enabled cold-chain logistics system(BCCLS)based on union blockchain technology,which can provide secure data sharing among different logistics nodes and guarantee logistics data security with the untampered blockchain ledger.Meanwhile,a lattice-based undeniable signature scheme is designed to strengthen the security of logistics data and user privacy against quantum attacks.This scheme is based on the lattice assumption,which can provide anti-quantum security for BCCLS in the future quantum computer age.It also establishes the undeniable mechanism that guarantees that the actual signer cannot deny a valid signature.Then,security proof shows that this undeniable signature scheme is correct and safe,and an efficiency comparison shows that it is more efficient than other schemes in similar literature.The performance evaluations of transaction throughput and latency show that the proposed BCCLS is efficient and practical.This work can improve the security and efficiency of logistics data management and promote the reform and development of the logistics industry.
文摘Cold-chain demand of fresh agricultural products is increasing in China, while network layout of cold-chain logistics is in disorder and its cost is huge. To address this problem, this paper casts an optimal model of cold-chain logistics network and tackles it with genetic algorithms. This optimal model takes running total cost of logistics network as the objective, and embeds a nonlinear mixed integer programming including two assignment issues. The model determines optimal layout and logistics management for pre-cooling stations and logistics center for fresh agricultural products. Our main contribution is to consider construction cost and operation cost of cold chain logistics simultaneously. Case study illustrates the effectiveness of the model.
文摘This paper firstly analyzed the operation model,market positioning,market demand forecast as well as market competition and challenges,park site selection,and transportation conditions for construction of the Cold-Chain Logistics Park of Agricultural Products in Sanshui.Then,it presented the overall planning scheme for construction of the Cold-Chain Logistics Park of Agricultural Products from a progressive two-stage perspective of overall planning and stage-by-stage implementation.The first stage mainly performs the function as a transaction platform of agricultural products and meanwhile provides customers with agricultural products storage and inspection services.The second stage adds value-added services such as distribution processing,modified atmosphere storage,freezing and refrigeration,market price information distribution,E-commerce of agricultural products and personalized services.It is expected to provide references and suggestions for the construction of the Cold-Chain Logistics Park of Agricultural Products.
文摘In this paper, we conduct research on challenges of cold-chain logistics and combination ways with logistics O2O operation. Because of the cold chain logistics to the high requirement of the equipment, technology as caused the high cost of cold chain logistics. In the overall cost of China’s logistics is on the high side, under the condition of low profi t, many enterprises to enter and don’t have much interest in the field of cold chain logistics. So-called cold chain logistics is frozen food in the production, storage, transportation, sales, remain the regulations to the consumption of each link in the cold chain environment, to ensure the food quality, reduce loss of food and system engineering. Under this basis, we propose the O2O based logistics pattern that will solve the issues well.
基金supported by the National Natural Science Foundation of China(No.U2433214)。
文摘Shenzhen,a major city in southern China,has experienced rapid advancements in Unmanned Aerial Vehicle(UAV)technology,resulting in extensive logistics networks with thousands of daily flights.However,frequent disruptions due to its subtropical monsoon climate,including typhoons and gusty winds,present ongoing challenges.Despite the growing focus on operational costs and third-party risks,research on low-altitude urban wind fields remains scarce.This study addresses this gap by integrating wind field analysis into UAV path planning,introducing key innovations to the classical model.First,UAV wind resistance and turbulence constraints are analyzed,mapping high-wind-speed and turbulence-prone zones in the airspace.Second,wind dynamics are incorporated into path planning by considering airspeed and groundspeed variation,optimizing waypoint selection and flight speed adjustments to improve overall energy efficiency.Additionally,a wind-aware Theta*algorithm is proposed,leveraging wind vectors to expedite search process,while Computational Fluid Dynamics(CFD)techniques are employed to calculate wind fields.A case study of Shenzhen,examining wind patterns over the past decade,demonstrates a 6.23%improvement in groundspeed and a 7.69%reduction in energy consumption compared to wind-agnostic models.This framework advances UAV logistics by enhancing route safety and energy efficiency,contributing to more cost-effective operations.
文摘目的构建留守与非留守中学生自伤的风险预测模型,为制定针对性的干预措施提供科学依据。方法2021年9月―2023年6月采用多阶段抽样方法,在留守儿童分布相对集中的6个省份中抽取14623名<18岁的中学生(留守8471名,非留守6152名)作为研究对象。通过问卷调查收集研究对象的一般情况、创伤性事件和自伤发生情况。分析不同特征留守与非留守中学生自伤的发生情况。采用R 4.3.0软件按照7∶3的比例分别将留守与非留守中学生随机划分为训练集与测试集,构建logistic回归分析模型和随机森林模型,通过受试者工作特征曲线、灵敏度、特异度等指标评估模型性能。结果中学生自伤总体发生率为25.7%,留守中学生自伤发生率高于非留守中学生(χ^(2)=59.266,P<0.001)。Logistic回归分析模型分析结果显示,留守与非留守中学生预测模型训练集的曲线下面积(area under the curve,AUC)分别为0.745和0.756,测试集的AUC分别为0.721和0.726,Hosmer-Lemshow拟合优度检验P>0.05。随机森林模型中,留守中学生自伤的主要预测因素为经历创伤性事件、家庭氛围、和父亲/母亲关系等,模型的灵敏度、特异度、阳性预测值、阴性预测值和F1指数分别为0.740、0.591、0.822、0.470和0.779,Brier分数为0.212,训练集和测试集的AUC分别为0.800和0.729。非留守中学生则以经历创伤性事件、家庭氛围、父母感情状况等为主,模型的灵敏度、特异度、阳性预测值、阴性预测值和F1指数分别为0.785、0.519、0.850、0.411和0.816,Brier分数为0.188,训练集和测试集的AUC分别为0.845和0.724。结论留守中学生自伤风险高于非留守中学生,二者的预测因素虽有不同,但存在高度重叠,其中创伤经历和家庭因素是关键预测变量。两种模型对自伤的识别能力良好,但随机森林模型综合性能更优,本研究构建的预测模型可为早期识别高危人群提供科学依据。
文摘【目的】拟预测江西省吉安市森林火灾发生概率,为吉安市森林火灾精准防控提供科学依据。【方法】基于2001—2020年MODIS火点数据,结合气象、地形、植被及人类活动等多维因子,分析江西省吉安市森林火灾的时空分布特征及其驱动机制。采用多重共线性诊断和相关性分析筛选关键影响因子,构建了Logistic回归(binary logistic regression)模型,预测森林火灾发生概率,并利用混淆矩阵和曲线下面积(area under the curve,AUC)评估模型性能。【结果】(1)吉安市森林火灾年际变化呈5年周期性波动,主要发生在9月至次年4月,空间分布呈现北多南少、西多东少的特征;(2)人口密度、上月植被指数、海拔、本月降雨量、上月温度和灯光指数是火灾发生的主要驱动因子,其中本月降雨量和灯光指数与火灾风险呈正相关,其余因子呈负相关;(3)火灾发生概率在0.2~0.7,永丰县、安福县、永新县、吉安县和遂川县为高风险区;(4)模型AUC值为0.748,具有较好的预测能力。【结论】研究可为吉安市森林火灾风险管理提供科学依据,建议在高风险区域加强监测预警,并针对不同驱动因子采取差异化防控措施。
基金supported by the Yuxiu Innovation Project of NCUT(Grant No.2024NCUTYXCX211).
文摘Purpose–This paper aims to provide a comprehensive analysis of the strategic adjustments in China’s transportation structure,with a particular focus on the pivotal role of railway freight and its integration into the modern logistics system.It seeks to address the need for a more nuanced understanding of the“road to rail”policy,emphasizing the importance of intermodal collaboration and service of fragmented market demands.Design/methodology/approach–The study employs a transport economics perspective to evaluate the achievements and shortcomings of China’s transportation structure optimization.It bases its assessment of the current state of railway freight logistics,multi-modal transportation and the broader implications for the transportation service market on data analysis.The methodology includes a review of existing policies,an examination of industry practices and a comparative analysis with global trends in railway logistics.Findings–The research underscores the importance of focusing on the development of non-bulk materials,noting the insufficiency in the development of China’s rail multi-modal transportation and highlighting the instructive value of successful cases in open-top container road-rail intermodal transportation.The study posits that the railway sector must enhance cooperation with other market entities,aligning with the lead enterprises in the logistics chain that are characterized by speed,high value and strong coordination capabilities,in order to better serve the transportation market.This approach moves away from a reliance on the railway’s own capabilities alone.Originality/value–This paper offers original insights into the transformation of railway freight in China,contributing to the body of knowledge on transportation economics and logistics.It provides valuable recommendations for policymakers and industry practitioners,emphasizing the strategic importance of railway logistics in the context of China’s economic development and intense competition in the supply chain.The value of the article lies in its comprehensive understanding of the complexities involved in the adjustment of transportation structures,providing direction for the market-oriented reform of China’s railway freight sector.
