This page has only limited features, please log in for full access.
Sustainable development of transport systems is a common topic of concern and effort in multiple countries, in which reducing carbon emissions is one of the core goals. Multimodal transport is an effective way to achieve carbon emission reduction and to efficiently utilize transport resources. The intercontinental transport system, represented by the Euro–China Expressway, is a prominent exploration that has recently received attention, which promotes the sustainable development of transport between countries and carbon emission reduction. In the intercontinental multimodal transport system, the reasonable connection of roads and railways, especially the optimization of consolidation, is an important link which affects the system's carbon emissions. This paper focuses on the consolidation of sustainable multimodal transport and summarizes the multimodal transport two-echelon location-routing problem with consolidation (MT-2E-LRP-C). We aim to solve multimodal consolidation optimization problem, especially locations of multimodal station, by routing of highway and railway. We propose a two-layer mixed integer linear problem (MILP) model, which highlights the consolidation of roads and railways, focuses on road and rail transport connections, and optimizes road routes and railway schemes. To validate the MT-2E-LRP-C model, we design a series of random instances for different quantities of nodes. In order to solve large-scale instances and realistic transport problems, we propose a hybrid differential evolution algorithm, which decomposes the problem into a railway layer and a highway layer for heuristic algorithm solving. Furthermore, the MILP model and algorithm are tested by small-scale random instances, and the hybrid differential evolution algorithm is solved for the large-scale random instances. Finally, we solve the realist instance from the Euro–China Expressway to develop instructive conclusions.
Yue Lu; Maoxiang Lang; Xueqiao Yu; Shiqi Li. A Sustainable Multimodal Transport System: The Two-Echelon Location-Routing Problem with Consolidation in the Euro–China Expressway. Sustainability 2019, 11, 5486 .
AMA StyleYue Lu, Maoxiang Lang, Xueqiao Yu, Shiqi Li. A Sustainable Multimodal Transport System: The Two-Echelon Location-Routing Problem with Consolidation in the Euro–China Expressway. Sustainability. 2019; 11 (19):5486.
Chicago/Turabian StyleYue Lu; Maoxiang Lang; Xueqiao Yu; Shiqi Li. 2019. "A Sustainable Multimodal Transport System: The Two-Echelon Location-Routing Problem with Consolidation in the Euro–China Expressway." Sustainability 11, no. 19: 5486.
The implementation of China’s Belt and Road Initiative macro strategy has promoted exchanges and cooperation between China and Europe and countries along the route. The operation of the China Railway Express provides a new transportation platform for China–Europe trade. The sustainable development of the China Railway Express has a great significance in terms of promoting the growth of China–Europe trade and meeting the demand for freight in Asia and Europe. Its time-saving advantage over shipping and its economic advantage over air transport cannot be ignored. This paper is based on the discrete selection model of stochastic utility theory. The paper constructs a multi-logit model based on generalized cost functions, including economics, timeliness, reliability, convenience, safety, and environmental protection. To calculate the market share of the China Railway Express and China–Europe Shipping, the paper conducts a quantitative analysis of the market competitiveness of the China Railway Express. Then, the sensitivity analysis and elastic analysis are carried out on the China Railway Express freight rate, the Chinese road freight rate, the China Railway Express service fee, the China Railway Express travelling speed, the China Railway Express sending operation time at the departure station, the China Railway Express transportation time error, the China Railway Express transportation frequency, and the China Railway Express carbon emissions per unit. Finally, based on the analysis results, suggestions for promoting the sustainable development of the China Railway Express are given.
Shiqi Li; Maoxiang Lang; Xueqiao Yu; Mingyue Zhang; Minghe Jiang; Sangbing Tsai; Cheng-Kuang Wang; Fang Bian. A Sustainable Transport Competitiveness Analysis of the China Railway Express in the Context of the Belt and Road Initiative. Sustainability 2019, 11, 2896 .
AMA StyleShiqi Li, Maoxiang Lang, Xueqiao Yu, Mingyue Zhang, Minghe Jiang, Sangbing Tsai, Cheng-Kuang Wang, Fang Bian. A Sustainable Transport Competitiveness Analysis of the China Railway Express in the Context of the Belt and Road Initiative. Sustainability. 2019; 11 (10):2896.
Chicago/Turabian StyleShiqi Li; Maoxiang Lang; Xueqiao Yu; Mingyue Zhang; Minghe Jiang; Sangbing Tsai; Cheng-Kuang Wang; Fang Bian. 2019. "A Sustainable Transport Competitiveness Analysis of the China Railway Express in the Context of the Belt and Road Initiative." Sustainability 11, no. 10: 2896.
The rapid and stable development of China’s economy has driven the increasing demand for express transportation. Based on network operation, China Railway Corporation of High-speed Railway launched high-speed rail products, which have attracted wide attention from all walks of life. With the application of high-speed express trains, the market structure of express transportation in China will change dramatically, from highways as the main mode of transportation to high-speed railway transportation relying on a high-speed railway network, which will effectively reduce the environmental pollution caused by express transportation and further improve the sustainable development of the economy and the logistics industry. At present, the freight Electric Multiple Units (EMU) has been successfully developed and has entered the final test stage. In the last paper, we have introduced the theory and method of the high-speed rail express train operation plan. In addition, a train diagram is an important foundation of railway transportation organization. In order to ensure the sustainable development of high-speed rail express trains after they are put into use, based on the operation plan of high-speed rail express trains, this paper establishes a comprehensive compilation model of a high-speed rail express train diagram, considering train running time, freight flow distribution scheme, and the operation plan of freight multiple units, and an exact solution algorithm based on the Lagrange relaxation algorithm is designed. The computational results are encouraging and demonstrate the effectiveness of the model and solution method.
Xueqiao Yu; Maoxiang Lang; Wenhui Zhang; Shiqi Li; Mingyue Zhang; Xiao Yu. An Empirical Study on the Comprehensive Optimization Method of a Train Diagram of the China High Speed Railway Express. Sustainability 2019, 11, 2141 .
AMA StyleXueqiao Yu, Maoxiang Lang, Wenhui Zhang, Shiqi Li, Mingyue Zhang, Xiao Yu. An Empirical Study on the Comprehensive Optimization Method of a Train Diagram of the China High Speed Railway Express. Sustainability. 2019; 11 (7):2141.
Chicago/Turabian StyleXueqiao Yu; Maoxiang Lang; Wenhui Zhang; Shiqi Li; Mingyue Zhang; Xiao Yu. 2019. "An Empirical Study on the Comprehensive Optimization Method of a Train Diagram of the China High Speed Railway Express." Sustainability 11, no. 7: 2141.
The sustained and steady development of China’s economy has led to the rapid improvement of the logistics. At the same time, the rise of the e-commerce mode has given rise to a huge demand for express delivery and the express industry has entered a period of boom. Fortunately, China’s high-speed rail network has been networked, and the development of a high-speed rail express train has entered the test stage. After the high-speed rail express train is put into use, it could effectively relieve the pressure of highway transportation and significantly reduce transport pollution. To make better use of high-speed rail transport resources and give full play to its green and efficient advantages, this study established a two-stage model of a high-speed rail express train operation plan. In the first stage, a train candidate set generation model aiming for the minimum total cost of train operation was established that considered the high-speed line carrying capacity, section flow capacity, and OD requirement satisfaction constraints, which reduces the scale of train spare parts and improves the efficiency of solution. In addition, a column generation algorithm was designed to solve the model. In the second stage, an accurate flow distribution model aiming for the optimal economic efficiency was established, and then the high-speed express train operation plan was designed completely. The computational results are encouraging and demonstrate the effectiveness of the model and solution method.
Xueqiao Yu; Maoxiang Lang; Yang Gao; Kai Wang; Ching-Hsia Su; Sang-Bing Tsai; Mingkun Huo; Xiao Yu; Shiqi Li. An Empirical Study on the Design of China High-Speed Rail Express Train Operation Plan—From a Sustainable Transport Perspective. Sustainability 2018, 10, 2478 .
AMA StyleXueqiao Yu, Maoxiang Lang, Yang Gao, Kai Wang, Ching-Hsia Su, Sang-Bing Tsai, Mingkun Huo, Xiao Yu, Shiqi Li. An Empirical Study on the Design of China High-Speed Rail Express Train Operation Plan—From a Sustainable Transport Perspective. Sustainability. 2018; 10 (7):2478.
Chicago/Turabian StyleXueqiao Yu; Maoxiang Lang; Yang Gao; Kai Wang; Ching-Hsia Su; Sang-Bing Tsai; Mingkun Huo; Xiao Yu; Shiqi Li. 2018. "An Empirical Study on the Design of China High-Speed Rail Express Train Operation Plan—From a Sustainable Transport Perspective." Sustainability 10, no. 7: 2478.
This study explores a multi-objective optimization for loading containers on double-stack cars that considers safety issues including lowering the center-of-gravity height and balancing the wheelsets’ load of the loaded cars. To effectively solve this problem, a Tabu Search algorithm with 2-opt and Tabu list techniques is designed to obtain the close-to-optimal solutions to the problem. In this study, two experimental cases are presented to demonstrate the efficiency of the proposed algorithm and its computational accuracy by comparing with the exact solution strategy proposed in our previous study. The experimental results indicate that the Tabu Search algorithm can obtain the optimal solutions to the double-stack car loading problem more efficiently.
Zepeng Wang; Maoxiang Lang; Xuesong Zhou; Jay Przybyla; Yan Sun. A Tabu Search Algorithm for Loading Containers on Double-Stack Cars. Advances in Intelligent Systems and Computing 2017, 49 -56.
AMA StyleZepeng Wang, Maoxiang Lang, Xuesong Zhou, Jay Przybyla, Yan Sun. A Tabu Search Algorithm for Loading Containers on Double-Stack Cars. Advances in Intelligent Systems and Computing. 2017; ():49-56.
Chicago/Turabian StyleZepeng Wang; Maoxiang Lang; Xuesong Zhou; Jay Przybyla; Yan Sun. 2017. "A Tabu Search Algorithm for Loading Containers on Double-Stack Cars." Advances in Intelligent Systems and Computing , no. : 49-56.
The remarkable development of the logistics industry motivates the optimization researches on the logistics park planning. After the construction period of the logistics parks when the relative location and layout problems are highlighted by the scholars, the performance evaluation on the logistics parks during their operation period is of great significance. On one hand, the well-performed logistics parks can be determined and stand out from their peers through performance evaluation, and can hence provide a benchmark for others to learn and further make progress. On the other hand, logistics parks can analyze their SWOT based on such evaluation and realize their sustainable development. Consequently, the performance evaluation on the logistics parks has been attached great importance in recent years. In this study, we present a systematical review on the logistics park performance evaluation problem from two aspects, including evaluation index system and quantitative evaluation methods (e.g., AHP, TOPSIS and DEA, etc.). We wish this review can help the readers clearly understand the research progress of this problem and also draw more colleagues to this research field.
Yingxiu Qi; Yan Sun; Maoxiang Lang. Evaluating the Performance of the Logistics Parks: A State-of-the-Art Review. Advances in Intelligent Systems and Computing 2017, 42 -48.
AMA StyleYingxiu Qi, Yan Sun, Maoxiang Lang. Evaluating the Performance of the Logistics Parks: A State-of-the-Art Review. Advances in Intelligent Systems and Computing. 2017; ():42-48.
Chicago/Turabian StyleYingxiu Qi; Yan Sun; Maoxiang Lang. 2017. "Evaluating the Performance of the Logistics Parks: A State-of-the-Art Review." Advances in Intelligent Systems and Computing , no. : 42-48.
Note: In lieu of an abstract, this is an excerpt from the first page.Excerpt Bi-Objective Modelling for Hazardous Materials Road–Rail Multimodal Routing Problem with Railway Schedule-Based Space–Time Constraints.
Yan Sun; Maoxiang Lang; Danzhu Wang. Correction: Sun, Y.; et al. Bi-Objective Modelling for Hazardous Materials Road–Rail Multimodal Routing Problem with Railway Schedule-Based Space–Time Constraints. Int. J. Environ. Res. Public Health 2016, 13, 762. International Journal of Environmental Research and Public Health 2016, 13, 984 .
AMA StyleYan Sun, Maoxiang Lang, Danzhu Wang. Correction: Sun, Y.; et al. Bi-Objective Modelling for Hazardous Materials Road–Rail Multimodal Routing Problem with Railway Schedule-Based Space–Time Constraints. Int. J. Environ. Res. Public Health 2016, 13, 762. International Journal of Environmental Research and Public Health. 2016; 13 (10):984.
Chicago/Turabian StyleYan Sun; Maoxiang Lang; Danzhu Wang. 2016. "Correction: Sun, Y.; et al. Bi-Objective Modelling for Hazardous Materials Road–Rail Multimodal Routing Problem with Railway Schedule-Based Space–Time Constraints. Int. J. Environ. Res. Public Health 2016, 13, 762." International Journal of Environmental Research and Public Health 13, no. 10: 984.
The transportation of hazardous materials is always accompanied by considerable risk that will impact public and environment security. As an efficient and reliable transportation organization, a multimodal service should participate in the transportation of hazardous materials. In this study, we focus on transporting hazardous materials through the multimodal service network and explore the hazardous materials multimodal routing problem from the operational level of network planning. To formulate this problem more practicably, minimizing the total generalized costs of transporting the hazardous materials and the social risk along the planned routes are set as the optimization objectives. Meanwhile, the following formulation characteristics will be comprehensively modelled: (1) specific customer demands; (2) multiple hazardous material flows; (3) capacitated schedule-based rail service and uncapacitated time-flexible road service; and (4) environmental risk constraint. A bi-objective mixed integer nonlinear programming model is first built to formulate the routing problem that combines the formulation characteristics above. Then linear reformations are developed to linearize and improve the initial model so that it can be effectively solved by exact solution algorithms on standard mathematical programming software. By utilizing the normalized weighted sum method, we can generate the Pareto solutions to the bi-objective optimization problem for a specific case. Finally, a large-scale empirical case study from the Beijing–Tianjin–Hebei Region in China is presented to demonstrate the feasibility of the proposed methods in dealing with the practical problem. Various scenarios are also discussed in the case study.
Yan Sun; Maoxiang Lang; Danzhu Wang. Bi-Objective Modelling for Hazardous Materials Road–Rail Multimodal Routing Problem with Railway Schedule-Based Space–Time Constraints. International Journal of Environmental Research and Public Health 2016, 13, 762 .
AMA StyleYan Sun, Maoxiang Lang, Danzhu Wang. Bi-Objective Modelling for Hazardous Materials Road–Rail Multimodal Routing Problem with Railway Schedule-Based Space–Time Constraints. International Journal of Environmental Research and Public Health. 2016; 13 (8):762.
Chicago/Turabian StyleYan Sun; Maoxiang Lang; Danzhu Wang. 2016. "Bi-Objective Modelling for Hazardous Materials Road–Rail Multimodal Routing Problem with Railway Schedule-Based Space–Time Constraints." International Journal of Environmental Research and Public Health 13, no. 8: 762.
In this study, we combine the fuzzy customer information problem with the multicommodity multimodal routing with schedule-based services which was explored in our previous study [1]. The fuzzy characteristics of the customer information are embodied in the demanded volumes of the multiple commodities and the time windows of their due dates. When the schedule-based services are considered in the routing, schedule constraints emerge because the operations of block container trains should follow their predetermined schedules. This will restrict the routes selection from space-time feasibility. To solve this combinatorial optimization problem, we first build a fuzzy chance-constrained nonlinear programming model based on fuzzy possibility theory. We then use a crisp equivalent method and a linearization method to transform the proposed model into the classical linear programming model that can be effectively solved by the standard mathematical programming software. Finally, a numerical case is presented to demonstrate the feasibility of the proposed method. The sensitivity of the best solution with respect to the values of the confidence levels is also examined.
Yan Sun; Maoxiang Lang; Jiaxi Wang. On Solving the Fuzzy Customer Information Problem in Multicommodity Multimodal Routing with Schedule-Based Services. Information 2016, 7, 13 .
AMA StyleYan Sun, Maoxiang Lang, Jiaxi Wang. On Solving the Fuzzy Customer Information Problem in Multicommodity Multimodal Routing with Schedule-Based Services. Information. 2016; 7 (1):13.
Chicago/Turabian StyleYan Sun; Maoxiang Lang; Jiaxi Wang. 2016. "On Solving the Fuzzy Customer Information Problem in Multicommodity Multimodal Routing with Schedule-Based Services." Information 7, no. 1: 13.
Purpose: The purpose of study is to solve the multi-modal transportation routing planning problem that aims to select an optimal route to move a consignment of goods from its origin to its destination through the multi-modal transportation network. And the optimization is from two viewpoints including cost and time. Design/methodology/approach: In this study, a bi-objective mixed integer linear programming model is proposed to optimize the multi-modal transportation routing planning problem. Minimizing the total transportation cost and the total transportation time are set as the optimization objectives of the model. In order to balance the benefit between the two objectives, Pareto optimality is utilized to solve the model by gaining its Pareto frontier. The Pareto frontier of the model can provide the multi-modal transportation operator (MTO) and customers with better decision support and it is gained by the normalized normal constraint method. Then, an experimental case study is designed to verify the feasibility of the model and Pareto optimality by using the mathematical programming software Lingo. Finally, the sensitivity analysis of the demand and supply in the multi-modal transportation organization is performed based on the designed case. Findings: The calculation results indicate that the proposed model and Pareto optimality have good performance in dealing with the bi-objective optimization. The sensitivity analysis also shows the influence of the variation of the demand and supply on the multi-modal transportation organization clearly. Therefore, this method can be further promoted to the practice. Originality/value: A bi-objective mixed integer linear programming model is proposed to optimize the multi-modal transportation routing planning problem. The Pareto frontier based sensitivity analysis of the demand and supply in the multi-modal transportation organization is performed based on the designed case.
Yan Sun; Maoxiang Lang. Bi-objective optimization for multi-modal transportation routing planning problem based on Pareto optimality. Journal of Industrial Engineering and Management 2015, 8, 1 .
AMA StyleYan Sun, Maoxiang Lang. Bi-objective optimization for multi-modal transportation routing planning problem based on Pareto optimality. Journal of Industrial Engineering and Management. 2015; 8 (4):1.
Chicago/Turabian StyleYan Sun; Maoxiang Lang. 2015. "Bi-objective optimization for multi-modal transportation routing planning problem based on Pareto optimality." Journal of Industrial Engineering and Management 8, no. 4: 1.
The support vector machine, NARX neural network and combination prediction method are used to predict the railway freight volume in this paper. The impact factors of the railway freight volume are analyzed. Two single prediction models: support vector machine model and NARX neural network model are built to predict railway freight volume. Based on it, the linear combination prediction method is adopted to predict the railway freight volume and get better predicted results compared to the single prediction method. The linear combination prediction method is able to adapt to the railway freight volume prediction problem better, and could provide some references for the railway planning and the decision-making departments.
Xuefei Li; Maoxiang Lang. Combination Prediction of Railway Freight Volume Based on Support Vector Machine and NARX Neural Network. LISS 2013 2013, 865 -870.
AMA StyleXuefei Li, Maoxiang Lang. Combination Prediction of Railway Freight Volume Based on Support Vector Machine and NARX Neural Network. LISS 2013. 2013; ():865-870.
Chicago/Turabian StyleXuefei Li; Maoxiang Lang. 2013. "Combination Prediction of Railway Freight Volume Based on Support Vector Machine and NARX Neural Network." LISS 2013 , no. : 865-870.