Vulnerability analysis of multimodal transport networks based on complex network theory

To explore the structural characteristics and vulnerability of multimodal transport networks,this study identifies the structural characteristics of a multimodal transport network on the basis of the complex network theory.Key nodes are clarified from the analysis of the structural characteristics.The characteristic path length and percentage of the largest subgraph are applied to analyze the vulnerability of the multimodal transport network after random and intentional attacks on the nodes.The network of a multimodal transport company is taken as an example in the empirical analysis.Results show that with more than ten nodes under a random attack,the percentage of the largest subgraph is less than 20%,and the characteristic path length is less than 2.The same performance is observed for more than seven nodes under an intentional attack.The multimodal transport network is more vulnerable under an international attack against key nodes.The results of the topology and node failure under random or intentional attacks would support the management of the multimodal transport network.Suggestions for the emergency transportation organization of enterprises under attacks are proposed accordingly.These suggestions should help improve network invulnerability and recovery from node failure.

Choosing Multimodal Freight Mix: An Integrated Multi-Objective Multicriteria Approach

Multimodal freight transportation emerges as the go-to strategy for cost-effectively and sustainably moving goods over long distances. In a multimodal freight system, where a single contract includes various transportation methods, businesses aiming for economic success must make well-informed decisions about which modes of transport to use. These decisions prioritize secure deliveries, competitive cost advantages, and the minimization of environmental footprints associated with transportation-related pollution. Within the dynamic landscape of logistics innovation, various multicriteria decision-making (MCDM) approaches empower businesses to evaluate freight transport options thoroughly. In this study, we utilize a case study to demonstrate the application of the Technique for Order Preference by Similarity to the Ideal Solution (TOPSIS) algorithm for MCDM decision-making in freight mode selection. We further enhance the TOPSIS framework by integrating the entropy weight coefficient method. This enhancement aids in assigning precise weights to each criterion involved in mode selection, leading to a more reliable decision-making process. The proposed model provides cost-effective and timely deliveries, minimizing environmental footprint and meeting consumers’ needs. Our findings reveal that freight carbon footprint is the primary concern, followed by freight cost, time sensitivity, and service reliability. The study identifies the combination of Rail/Truck as the ideal mode of transport and containers in flat cars (COFC) as the next best option for the selected case. The proposed algorithm, incorporating the enhanced TOPSIS framework, benefits companies navigating the complexities of multimodal transport. It empowers making more strategic and informed transportation decisions. This demonstration will be increasingly valuable as companies navigate the ever-growing trade within the global supply chains.

Linking strategies to optimize the robustness of multimodal transport network

In view of the problem that the multimodal transport network is vulnerable to attack and faces the risk of cascading failure,three low polarization linking strategies considering the characteristics of the multimodal transport network are proposed to optimize network robustness.They are the low polarization linking strategy based on the degree of nodes(D_LPLS),low polarization linking strategy based on the betweenness of nodes(B_LPLS),and low polarization linking strategy based on the closeness of nodes(C_LPLS).The multimodal transport network in the Sichuan-Tibet region is analyzed,and the optimization effects of these three strategies are compared with the random linking strategy under random attacks and intentional attacks.The results show that C_LPLS can effectively optimize the robustness of the network.Under random attacks,the advantages of C_LPLS are obvious when the ratio of increased links is less than 15%,but it has fewer advantages compared with B_LPLS when the ratio of increased links is 15%to 30%.Under intentional attacks,as the ratio of increased links goes up,the advantages of C_LPLS become more obvious.Therefore,the increase of links by C_LPLS is conducive to the risk control of the network,which can provide theoretical support for the optimization of future multimodal transport network structures.

Determining capacity of multimodal multi-commodities freight transportation network from critical link volumes

The commodity transportation capacity between all origin-destination （ OD ） pairs over the multimodal multi-commodities freight transportation network （MMFTN） is determined. A multi-ob- jectives mathematical model is formulated for determining the OD capacity over the MMFTN accord- ing to a transporting capacity matrix that increased from the reference matrixes. The corresponding incremental factor for estimating the capacity matrix is obtained via the maximal likelihood estima- tion method that samples data of differences between the estimated commodity volumes and carrying capacities of the critical links. The proposed formulations are tested by an experimental highway and railroad freight transportation network in an existing literature. The relevant results of OD capacities are displayed and applicability of the algorithm is certified.

Path Selection of Multimodal Transport Based on Multi-Objective Mixed Integer Programming

Based on “One Belt and One Road”, this paper studies the path selection of multimodal transport by using the method of multi-objective mixed integer programming. Therefore, this paper studies the factors of transportation time, transportation cost and transportation safety performance, and establishes a mathematical model. In addition, the method of multi-objective mixed integer programming is used to comprehensively consider the different emphasis and differences of customers on cargo transportation. Then we use planning tools of Microsoft Excel to solve path selection and to determine whether the chosen path is economical and reliable. Finally, a relatively complex road network is built as an example to verify the accuracy of this planning method.

China Multimodal Transport Waits to ＂Speed Up＂

Seamless transportation of goods seems to be the inevitable trend for the modern logistics industry. Logistics is currently making a transition to multimodal transport from the single-mode.

A quantitative and systematic methodology to investigate energy consumption issues in multimodal intercity transportation systems

Energy issues in transportation systems have garnered increasing attention recently.This study proposes a systematic methodology for policy-makers to minimize energy consumption in multimodal intercity transportation systems considering suppliers’operational constraints and travelers’mobility requirements.A bi-level optimization model is developed for this purpose and considers the air,rail,private auto,and transit modes.The upper-level model is a mixed integer nonlinear program aiming to minimize energy consumption subject to transportation suppliers’operational constraints and traffic demand distribution to paths resulting from the lower-level model.The lower-level model is a linear program seeking to maximize the trip utilities of travelers.The interactions between the multimodal transportation suppliers and intercity traffic demand are considered under the goal of minimizing system energy consumption.The proposed bi-level mixed integer model is relaxed and transformed into a mathematical program with complementarity constraints,and solved using a customized branch-and-bound algorithm.Numerical experiments,conducted using multimodal travel options between Lafayette,Indiana and Washington,D.C.reiterate that shifting traffic demand from private cars to the transit and rail modes significantly reduce energy consumption.Moreover,the proposed methodology provides tools to quantitatively analyze system energy consumption and traffic demand distribution among transportation modes under specific policy instruments.The results illustrate the need to systematically incorporate the interactions among traveler preferences,network structure,and supplier operational schemes to provide policy-makers insights for developing traffic demand shift mechanisms to minimize system energy consumption.Hence,the proposed methodology provide policy-makers the capability to analyze energy consumption in the transportation sector by a holistic approach.

The Role of Short Sea Shipping Concept in Black SeaRegion as a Connection between Eurasian TransportSystems

Despite of fluctuations in world trade as a result of economic cycles,the evolution of the political processes remains the trend of sustained growth of trade flows.This ends up in a rise in both the demand for logistics services and the requirements for them.In this sense,the critically important is the strategic development of the transport systems as a support for the improvement of competitive logistics.An important aspect is the promotion of multimodal transport,which in search of the best transport solutions will reduce the use of relatively expensive and environmentally unfriendly road transportation.This will be at the expense of the efficient combination of different modes in which the concept of short sea shipping(SSS)occupies a central place.Although this concept is widely applied in many places in the Black Sea,it still has significant potential.It was prompted by stagnation in economic relations as a result of political and economic crises in the region since the late twentieth and early twenty-first century.To evaluate the potential of the concept in the development of transport is done research on intermodal logistics network in the logistics corridor Central Asia-Central Europe.To optimize intermodal transport links a comparative analysis of the various transport alternatives on the route Tehran-Budapest is done.On this basis it is made optimization assessment on three main criteria cost,delivery time and environmental protection and basic recommendations on strategic planning development of the Bulgarian transport infrastructure are given.An essential aspect is the encouragement of multimodal transportation,which in looking for the best transport solutions can cut back the utilization of comparatively costly and environmentally harmful road transportation.This would be at the expense of the adequate combination of different modes of transportation in which the concept of SSS has a fundamental area.Despite this concept is widely applied in various regions,in the Black Sea it still has an important future due to stagnation in economic relations as a result of political confrontations and economic crises within the region since the late twentieth and early twenty-first century.To assess the capability of the concept in the development of transport is done research on intermodal logistics network in the logistics corridor Central Asia-Central Europe.To improve intermodal transport links a comparative analysis of the various transport options on the routes Astana-Budapest and Tehran-Budapest are made.On this basis it is proposed an optimization assessment on three main criteria cost,delivery time and environmental protection,and fundamental suggestions on strategic development of the Bulgarian transport infrastructure are proposed.

Development of Freight Transport in Indonesia: Towards Sustainability Transport

Indonesia as the largest archipelagic country has potential market for freight transport.Unfortunately according to Logistics Performance Index(LPI)by the World Bank in 2012,Indonesia National Logistics System performance still have not optimal.Congestion become one of problem issue which caused the cost of logistics in Indonesia is more expensive for the similar routes in other Asia country.Besides,the use of road transport for freight is still dominating in Indonesia.In order to accelerate the Indonesia economy development and solve out the transport modal split issue,the government has declared the Master Plan for the Acceleration and Expansion of Indonesian Economic Development(MP3EI).In which through this policy the government is trying to improve and develop all the infrastructure of the transport sector including multimodal transport and greenhouse gas emissions(GHG)reduction.This paper tries to give explanation toward logistics transport and its problem,current condition on freight transport and the government policies in Indonesia.The method is usingdescriptive analyse with qualitative data and interview method to gain the detail information from the stakeholder.

国内外陆港研究进展与我国研究前景展望——基于CiteSpace知识图谱分析

基于WOS及CNKI数据库,依托CiteSpace可视化文献计量工具,构建陆港研究进展知识图谱,在分析我国陆港发展演化阶段基础上,对陆港研究进展进行评述与展望。研究发现:近年来,国内外陆港研究发展较快,研究发文量日益丰富,研究热点不断更新。当前研究的重点和热点主要体现在陆港的内涵与外延、陆港建设背景下的集装箱多式联运网络、港产城联动机理等方面,以面向陆港规划和建设阶段研究为主。但在陆港概念上结合我国陆港发展的集群化、产业化特征的研究还不够;在陆港多式联运网络方面,还缺乏对陆港选址、多式联运通道等的点、线、面协同优化的研究;在港产城联动机理方面主要以经济互动实证研究为主,缺乏对港产城联动模式的研究。未来研究应重点关注丰富陆港概念新内涵、构建陆港联运网络、拓展港产城共生演化等方面新问题的研究,使陆港研究伴随实践的发展不断深入。

考虑互补效应的城市群多模式客运网络鲁棒性

为了分析城市群客运网络对突发事件的应对能力,从多种交通模式互补视角,基于复杂网络理论构建城市群多模式客运网络模型,应用引力模型建立节点失效后网络性能计算的规则,对城市群多模式客运网络的鲁棒性进行测度.引入基于鲁棒性的动态互补强度指标,对客运网络间的互补效应(CE)进行量化.对是否考虑CE时的鲁棒性进行对比,分析CE对鲁棒性的提升程度.以关中平原城市群为例进行实例研究,结果表明,在城市群多模式客运网络中,普铁网应对突发事件时的鲁棒性最强,公路网最弱.无论在何种攻击策略下,考虑CE时,城市群多模式客运网络的鲁棒性均有明显的提升,高铁网、普铁网和公路网的敏感度分别下降了19.1%、29.3%和22.0%.

新发展格局下江苏物流一体化发展研究

当前世界发展环境发生了重大的变化,在新的发展格局下促进江苏省物流一体化发展对于江苏自身和其他区域的发展都具有重要的意义。文中从新发展格局下江苏物流一体化发展的意义、面临的挑战入手,进一步探讨了新发展格局下江苏物流一体化发展的战略构想、层次设计、平台建设等内容,以期促进江苏物流一体化的蓬勃发展。

多船型多种类应急物资水陆联运调度算例分析

建立多品类应急物资在跨城综合运输路径的优化模型,并根据货船在港口之间的往返运输情形设计港口货船调度模块,在此基础上,融合粒子群算法解决物资在各运输阶段对中转节点选择的问题。通过设置两种不同型号货船的仿真计算对比试验,优化结果分析,验证本文所提出算法的有效性,为应急灾害的运输决策问题提供行之有效的解决方案。

依托湘桂运河的湖南省工程机械出口运费分析

运输费用分析是工程机械选择何种运输方式的重要决策依据。文章以三一重工的产品和运输需求为例,从运输方式的角度对工程机械进行分类,总结了公路运输和水路运输2种方式下工程机械运费的计算方法,根据湖南省货物运输市场的有关调研数据,对典型工程机械产品的运输费用进行了计算,对依托湘桂运河的新物流通道和现有物流通道2种物流通道的运费成本进行了比较分析。在此基础上,验证了水路滚装运输方式的可行性。研究为湖南省工程机械开展水路滚装运输提供了经济性分析参考,同时为湖南省内河航运绿色发展提供了新思路。

低碳驱动下粮食转运枢纽选址及路径优化研究

为降低粮食运输的碳排放量,提高粮食运输效率,保障粮食运输安全,从定量分析的角度,构建低碳驱动下粮食转运枢纽选址-路径优化模型,并设计改进遗传算法对该模型求解,对中国现有粮食运输网络布局进行改进和优化,并选取粮食物流重点线路上的部分省会城市进行分析验证。结果表明:研究构建的轴辐式多式联运网络枢纽节点选址-路径优化模型及算法,可使粮食运输总成本降低13.87%,碳排放量降低11.70%,枢纽的平均转运饱和度提升9.66%。该方法适用于实际粮食运输过程,可实现粮食低碳高效运输,为低碳驱动下中国粮食转运枢纽选址及路径规划提供参考。

考虑新机场投运的多式联运组织演化博弈——以北京大兴国际机场为例

为迎合市场需求,激发北京市新机场及周边企业运输潜力,发展多式联运并合理调动运输供给资源成为关键。通过建立航空运输企业、公路运输企业及多式联运经营人三方演化博弈模型,对各参与方组建多式联运组织的策略、选择演化路径及合作机制进行研究。各参与方在成本投入与可获得的额外收益之间权衡,决策是否选择组成联运组织。研究过程中设置合作意愿,对多式联运组织各参与方策略选择的演化路径进行仿真分析,并分别改变业务规模系数、运输收益系数及新市场损失系数,就各参与方行为对其策略选择的演化结果进行分析。结果表明:各参与主体初始意愿的变化对多式联运组织的建立和有效运营产生直接影响,即运输企业对合作策略的初始意愿是多式联运组织形成的关键;经营人企业的行为策略选择也将影响航空运输企业和公路运输企业的成本付出与新市场带来的额外收益获得,组织内部因素(例如合理收益分配)有助于促进多式联运组织有效形成;组织业务规模、市场发展状况变化等外部环境因素也对多式联运组织成员的意愿值有所影响,即不同运输企业行为会影响经营人企业的经营态度,也将作用于组织的演化方向及到达均衡状态的演化时间。

多式联运运行机制、发展模式及演化趋势——基于SCI、北大核心和CSSCI来源期刊的分析(2013—2023)

为了更好地支撑我国多式联运高质量发展,促进实现《交通强国建设纲要》中提出的2035年发展目标,亟需厘清多式联运的内涵、特征及发展机理。基于CNKI数据库和WOS核心数据库,聚焦2013—2023年,梳理多式联运国内外研究成果,并与行业发展相结合,可以帮助厘清多式联运起因、演化过程、运行机制及发展模式。研究发现:多式联运研究与行业发展相互促进,且与时俱进。文献研究主题经历了从关注“运输组合和体系构建”,转向“经济与环境关系平衡”,再到聚焦“技术革新”的变化。行业发展经历了集装箱推动下的被动发展和追求多样化、经济性和稳定性的主动探索发展。未来我国多式联运发展应以区域经济发展为着力点、以货物集散枢纽为中心、以协调运输方式为重点,在培育联运主体和布局枢纽点的基础上,建设多式联运标准化体系,完善大数据平台和深化“一单制”。

高铁枢纽与城市轨道交通换乘流线仿真与优化

针对高铁枢纽与城市轨道交通换乘流线优化问题,以南京南站作为研究对象,建立全过程仿真模型,识别换乘瓶颈,采用梯度提升决策树法(Gradient Boosting Decision Tree,GBDT)确定参数重要度,提出改善方案.首先,分解换乘过程的行人与设施流线,分析高速铁路到达客流与城市轨道交通客流的分布特征.其次,使用AnyLogic软件建立高铁枢纽换乘城市轨道交通的全过程仿真模型,分析现状仿真结果,识别空间瓶颈.然后,设计不同优化类型下的措施参数及调整范围,形成不同参数组合方案.采取梯度提升决策树算法,识别不同措施参数的相对重要度,并据此确定改善措施的优先级.最后,依据措施的优先级,确定不同类型下的优化组合方案,选择机器学习全局可解释性方法对其进行优化效果分析,为不同场景下的服务改善提出建议.研究结果表明:换乘瓶颈主要集中于楼/扶梯通道设施以及闸机、售检票机等服务设施处;乘客换乘城轨的购票比例对平均换乘时间和单位时间最大换乘人数均起到重要影响,对于平均换乘时间,城轨自动售票机数量、购票时间、城轨进站服务时间、城轨进站闸机数量的影响相对较大,对于单位时间最大换乘人数,购票时间与城轨进站闸机服务时间的影响相对较大.为提高高铁枢纽换乘效率,建议推广电子客票和多种支付方式,优化购票及检票设施.

不确定运价下长江集装箱多式联运路径优化

为充分贴合长江集装箱多式联运场景,在分析长江多式联运组织特点的基础上,考虑不确定运价及不同航段航道通航条件影响,以包含运输周转成本、碳排放成本和时间成本在内的总成本最小化为目标,构建不确定条件下长江集装箱多式联运路径优化模型,并设计蒙特卡洛仿真与改进的狼群算法实现模型求解,最后通过算例分析验证改进的狼群算法的有效性。算例分析结果表明,公路运输能有效控制运输的时间成本,铁路与水路运输在运输经济性与绿色性方面更具优势。在长江航道通航能力与最大中转次数限制下,运输任务将选择较高成本运输方案以满足航道与托运人要求。

智能交通场景下的交互导识设计原则

目的探索智能交通场景下交互导识设计的原则,研究如何灵活应用多模态技术和交互设计方法,提升导识系统的效率和适应性,进而改善用户的出行体验。方法通过文献综述和案例分析,详细梳理和总结了交互导识设计在实际应用中的主要发展趋势、存在问题及设计师面临的挑战。结果研究显示,目前的交互导识出现了多通道应用、多终端融合,以及多样化的模式,这些变化使导识设计超越了传统静态和分散的形式,呈现出由多种维度支持的复合形态,进而要求设计师重新审视这一复杂的设计对象,调整设计原则以适应新的需求。结论提出了适用于智能交通环境下的交互导识设计原则和设计建议,包括建立更系统化的导识信息、打造一致性的用户体验和提供丰富的信息形态。