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Lixin Miao
Division of Logistics and Transportation, Graduate School at Shenzhen, Tsinghua University, Shenzhen 518055, China

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Journal article
Published: 02 May 2020 in Sustainability
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In this study, the tour planning problem for electric vehicles is investigated. We aim to derive the optimal route and thus, to maximize profitability and minimize range anxiety within the time horizon. To solve this problem, a bi-objective mixed integer model is proposed. Specifically, we first introduced the reliability of route planning and quantified it as a cost with specific functions. The nonlinear model was then converted into a bi-objective mixed integer linear program, and an interactive branch and bound algorithm was adopted. Numerical experiments conducted on different networks have shown that the model that considers range anxiety offers more effective solutions. This means that our model is able to plan the routes with high reliability and low risk of profit loss and accidents.

ACS Style

Rui Chen; Xinglu Liu; Lixin Miao; Peng Yang. Electric Vehicle Tour Planning Considering Range Anxiety. Sustainability 2020, 12, 3685 .

AMA Style

Rui Chen, Xinglu Liu, Lixin Miao, Peng Yang. Electric Vehicle Tour Planning Considering Range Anxiety. Sustainability. 2020; 12 (9):3685.

Chicago/Turabian Style

Rui Chen; Xinglu Liu; Lixin Miao; Peng Yang. 2020. "Electric Vehicle Tour Planning Considering Range Anxiety." Sustainability 12, no. 9: 3685.

Journal article
Published: 21 October 2019 in Sustainability
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This study researches the dynamical location optimization problem of a mobile charging station (MCS) powered by a LiFePO 4 battery to meet charging demand of electric vehicles (EVs). In city suburbs, a large public charging tower is deployed to provide recharging services for MCS. The EV’s driver can reserve a real-time off-street charging service on the MCS through a vehicular communication network. This study formulates a multi-period nonlinear flow-refueling location model (MNFRLM) to optimize the location of the MCS based on a network designed by Nguyen and Dupuis (1984). The study transforms the MNFRLM model into a linear integer programming model using a linearization algorithm, and obtains global solution via the NEOS cloud CPLEX solver. Numerical experiments are presented to demonstrate the model and its solution algorithm.

ACS Style

Faping Wang; Rui Chen; Lixin Miao; Peng Yang; Bin Ye. Location Optimization of Electric Vehicle Mobile Charging Stations Considering Multi-Period Stochastic User Equilibrium. Sustainability 2019, 11, 5841 .

AMA Style

Faping Wang, Rui Chen, Lixin Miao, Peng Yang, Bin Ye. Location Optimization of Electric Vehicle Mobile Charging Stations Considering Multi-Period Stochastic User Equilibrium. Sustainability. 2019; 11 (20):5841.

Chicago/Turabian Style

Faping Wang; Rui Chen; Lixin Miao; Peng Yang; Bin Ye. 2019. "Location Optimization of Electric Vehicle Mobile Charging Stations Considering Multi-Period Stochastic User Equilibrium." Sustainability 11, no. 20: 5841.

Journal article
Published: 29 August 2019 in Sustainability
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In 2017, Shenzhen replaced all its buses with battery e-buses (electric buses) and has become the first all-e-bus city in the world. Systematic planning of the supporting charging infrastructure for the electrified bus transportation system is required. Considering the number of city e-buses and the land scarcity, large-scale bus charging stations were preferred and adopted by the city. Compared with other EVs (electric vehicles), e-buses have operational tasks and different charging behavior. Since large-scale electricity-consuming stations will result in an intense burden on the power grid, it is necessary to consider both the transportation network and the power grid when planning the charging infrastructure. A cost-minimization model to jointly determine the deployment of bus charging stations and a grid connection scheme was put forward, which is essentially a three-fold assignment model. The problem was formulated as a mixed-integer second-order cone programming model, and a “No R” algorithm was proposed to improve the computational speed further. Computational studies, including a case study of Shenzhen, were implemented and the impacts of EV technology advancements on the cost and the infrastructure layout were also investigated.

ACS Style

Yuping Lin; Kai Zhang; Zuo-Jun Max Shen; Lixin Miao. Charging Network Planning for Electric Bus Cities: A Case Study of Shenzhen, China. Sustainability 2019, 11, 4713 .

AMA Style

Yuping Lin, Kai Zhang, Zuo-Jun Max Shen, Lixin Miao. Charging Network Planning for Electric Bus Cities: A Case Study of Shenzhen, China. Sustainability. 2019; 11 (17):4713.

Chicago/Turabian Style

Yuping Lin; Kai Zhang; Zuo-Jun Max Shen; Lixin Miao. 2019. "Charging Network Planning for Electric Bus Cities: A Case Study of Shenzhen, China." Sustainability 11, no. 17: 4713.

Journal article
Published: 28 August 2019 in Transportation Research Part C: Emerging Technologies
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With the applications of electric buses (e-buses), potential solutions to problems related to infrastructures for charging e-buses are emerging. This study particularly focused on large-scale fast charging-station planning for e-buses in the public transportation electrification process, according to the characteristics of e-bus operation and plug-in fast charging mode. We conducted an interdisciplinary study to optimize planning jointly under the transportation system and power grid. In addition to capturing the spatiality of the e-bus charging service network, we further considered temporality in order to conduct long-term planning in view of the continuously growing e-bus charging demand. A spatial-temporal model, which determines the sites and sizes of e-bus charging stations, was proposed and the strategies for multistage infrastructure planning were put forward. The model was equivalently transformed into a mixed-integer second-order cone programming with high computational efficiency. The model and the multistage planning strategies were justified through a series of numerical experiments. A case study of Shenzhen, China was implemented and the robustness of the model to plan changes was studied.

ACS Style

Yuping Lin; Kai Zhang; Zuo-Jun Max Shen; Bin Ye; Lixin Miao. Multistage large-scale charging station planning for electric buses considering transportation network and power grid. Transportation Research Part C: Emerging Technologies 2019, 107, 423 -443.

AMA Style

Yuping Lin, Kai Zhang, Zuo-Jun Max Shen, Bin Ye, Lixin Miao. Multistage large-scale charging station planning for electric buses considering transportation network and power grid. Transportation Research Part C: Emerging Technologies. 2019; 107 ():423-443.

Chicago/Turabian Style

Yuping Lin; Kai Zhang; Zuo-Jun Max Shen; Bin Ye; Lixin Miao. 2019. "Multistage large-scale charging station planning for electric buses considering transportation network and power grid." Transportation Research Part C: Emerging Technologies 107, no. : 423-443.

Journal article
Published: 23 September 2018 in Sustainability
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China has been one of the most aggressive countries in electric vehicle (EV) promotion. However, private EV sales fail to achieve the government’s target. In particular, cutting purchase subsidies poses great uncertainty in relation to EV diffusion. In this research, a system dynamics model aims to investigate the influence of government policies, infrastructure development plans, the duration of policies, and the phase out strategy of policies. Parameters relating to consumers’ preferences are drawn from a questionnaire survey, which is conducted in Shenzhen, the pioneer city in China’s EV promotion. The result of a scenario analysis shows that purchase subsidies, purchase restrictions and driving restrictions are the most effective policies for EV promotion. Driving restrictions are more effective but less easy to enforce than purchase restrictions. The number and location of charging piles are much more important than large charging stations. Moreover, EV diffusion can be self-sufficient after current policies have been maintained for 11 years. We find that the gradual removal of subsidies will cause a four-year delay in EV sales entering rapid growth in Shenzhen. However, cutting subsidies in cities without purchase restrictions will cause the failure of EV promotion.

ACS Style

Jiali Yu; Peng Yang; Kai Zhang; Faping Wang; Lixin Miao. Evaluating the Effect of Policies and the Development of Charging Infrastructure on Electric Vehicle Diffusion in China. Sustainability 2018, 10, 3394 .

AMA Style

Jiali Yu, Peng Yang, Kai Zhang, Faping Wang, Lixin Miao. Evaluating the Effect of Policies and the Development of Charging Infrastructure on Electric Vehicle Diffusion in China. Sustainability. 2018; 10 (10):3394.

Chicago/Turabian Style

Jiali Yu; Peng Yang; Kai Zhang; Faping Wang; Lixin Miao. 2018. "Evaluating the Effect of Policies and the Development of Charging Infrastructure on Electric Vehicle Diffusion in China." Sustainability 10, no. 10: 3394.

Journal article
Published: 20 September 2018 in Computers & Industrial Engineering
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This study examines the simultaneous allocation of berths and quay cranes under discrete berth situations with uncertainty at container terminals. First, a mixed-integer programming model that considers practical constraints with the objective of minimizing the baseline cost is formulated to obtain a baseline schedule. However, in reality, different disruptions, i.e., deviation of vessels’ arrival times, deviation of vessels’ loading and unloading operation times, calling of unscheduled vessels, and breakdown of quay cranes, will occur when executing the baseline schedule. Thereby, a reactive strategy, which takes the baseline schedule as a reference and aims to minimize the recovery cost, is proposed. Given that the cost value cannot simulate the choices of decision makers in reality, a behavior perception-based disruption model is proposed to effectively simulate a practical situation. A rolling horizon heuristic is presented to derive good feasible solutions. Computational tests are reported to show (i) the effectiveness of the proposed approach to solve a set of real instances to optimality; and (ii) the performance of proposed reactive strategy to conduct different disruptions; (iii) the comparisons between the proposed reactive strategy and proactive strategy.

ACS Style

Xi Xiang; Changchun Liu; Lixin Miao. Reactive strategy for discrete berth allocation and quay crane assignment problems under uncertainty. Computers & Industrial Engineering 2018, 126, 196 -216.

AMA Style

Xi Xiang, Changchun Liu, Lixin Miao. Reactive strategy for discrete berth allocation and quay crane assignment problems under uncertainty. Computers & Industrial Engineering. 2018; 126 ():196-216.

Chicago/Turabian Style

Xi Xiang; Changchun Liu; Lixin Miao. 2018. "Reactive strategy for discrete berth allocation and quay crane assignment problems under uncertainty." Computers & Industrial Engineering 126, no. : 196-216.

Journal article
Published: 30 March 2017 in Sustainability
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China promoted the large-scale adoption of Electric Vehicles (EVs) in its 13th five-year plan; however, this target faces many obstacles. This paper analyzes the main barriers to widespread adoption of EVs through a survey in Shenzhen, which has the biggest EVs market share out of China’s major cities. Based on previous research, this paper conducted a new study using 406 approved questionnaires among 500 participants. Our study proposed five hypotheses to examine the main barriers to widespread adoption of EVs. The analysis was conducted using statistical method that included two-way frequency tables, chi-square test, and factor analysis. The results indicated that perception of advantages of EVs and access to recharging EVs remained the main barriers in large-scale penetration. Furthermore, our study revealed that a drop in financial incentives would not cause a significant decline in the future adoption of EVs. The study provides suggestions to car manufacturers and government policy advisors based on our analysis and discussion.

ACS Style

Fa-Ping Wang; Jia-Li Yu; Peng Yang; Li-Xin Miao; Bin Ye. Analysis of the Barriers to Widespread Adoption of Electric Vehicles in Shenzhen China. Sustainability 2017, 9, 522 .

AMA Style

Fa-Ping Wang, Jia-Li Yu, Peng Yang, Li-Xin Miao, Bin Ye. Analysis of the Barriers to Widespread Adoption of Electric Vehicles in Shenzhen China. Sustainability. 2017; 9 (4):522.

Chicago/Turabian Style

Fa-Ping Wang; Jia-Li Yu; Peng Yang; Li-Xin Miao; Bin Ye. 2017. "Analysis of the Barriers to Widespread Adoption of Electric Vehicles in Shenzhen China." Sustainability 9, no. 4: 522.

Conference paper
Published: 13 January 2016 in Communications in Computer and Information Science
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Emission trading and market mechanism have increasingly become crucial policy measures to promote sustainable development. Coupled with carbon emission reduction credit trading, carbon emission allowance trading under the cap-and-trade scheme is also steadily developing in China. To learn from the EU ETS’s experience, the paper applied the IRF-DCC model to explore the dynamic nonlinear relations between EUA and CER markets. Empirical results indicate that EUA and CER are dynamically and conditionally correlated both in the spot and future markets. Correlations of spot volatilities are highly instable and market dependent while correlations of future volatilities are relatively stable and independent.

ACS Style

Jingjing Jiang; Bin Ye; Dejun Xie; Lixin Miao. Dynamic Nonlinear Relationships between Carbon Emission Allowance and Reduction Credit Markets-Based on the IRF-DCC Model. Communications in Computer and Information Science 2016, 569, 770 -777.

AMA Style

Jingjing Jiang, Bin Ye, Dejun Xie, Lixin Miao. Dynamic Nonlinear Relationships between Carbon Emission Allowance and Reduction Credit Markets-Based on the IRF-DCC Model. Communications in Computer and Information Science. 2016; 569 ():770-777.

Chicago/Turabian Style

Jingjing Jiang; Bin Ye; Dejun Xie; Lixin Miao. 2016. "Dynamic Nonlinear Relationships between Carbon Emission Allowance and Reduction Credit Markets-Based on the IRF-DCC Model." Communications in Computer and Information Science 569, no. : 770-777.

Journal article
Published: 22 December 2015 in Sustainability
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The initial allocation of tradable carbon emission allowances is among the most contentious issues in developing an emission trading scheme (ETS). China faces serious dilemmas of system complexity and information incompleteness and asymmetry in allocating carbon allowance among enterprises. As one of the pilot ETS regions, Shenzhen has launched the first regional cap-and-trade ETS (SZ ETS) in China. Adhering to the overall plan and classification analysis, SZ ETS intends to solve the aforementioned dilemmas by developing innovative allowance allocation policies. A fundamental principle is to allocate allowances based on carbon intensity and actual output, according to which a two-step allocation procedure is constructed. A competitive game mechanism is introduced for allowance allocation among manufacturing enterprises. Empirical results indicate the following: (1) Carbon allowance allocation based on carbon intensity and actual output can mitigate carbon emission growth by reducing CO2 emitted per unit output, and, thus, buffer the shocks of unexpected economic fluctuations to ETS stability; (2) Competitive game allocation may contribute to improving the use of scattered information to enhance the efficiency of information and emission resource allocation. Exploring SZ ETS may provide a reference for formulating future national carbon allowance allocation policies in China and other developing regions.

ACS Style

Bin Ye; Jingjing Jiang; Lixin Miao; Ji Li; Yang Peng. Innovative Carbon Allowance Allocation Policy for the Shenzhen Emission Trading Scheme in China. Sustainability 2015, 8, 3 .

AMA Style

Bin Ye, Jingjing Jiang, Lixin Miao, Ji Li, Yang Peng. Innovative Carbon Allowance Allocation Policy for the Shenzhen Emission Trading Scheme in China. Sustainability. 2015; 8 (1):3.

Chicago/Turabian Style

Bin Ye; Jingjing Jiang; Lixin Miao; Ji Li; Yang Peng. 2015. "Innovative Carbon Allowance Allocation Policy for the Shenzhen Emission Trading Scheme in China." Sustainability 8, no. 1: 3.

Journal article
Published: 23 November 2015 in Energies
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In China, the power sector is currently the largest carbon emitter and the transportation sector is the fastest-growing carbon emitter. This paper proposes a model of solar-powered charging stations for electric vehicles to mitigate problems encountered in China’s renewable energy utilization processes and to cope with the increasing power demand by electric vehicles for the near future. This study applies the proposed model to Shenzhen City to verify its technical and economic feasibility. Modeling results showed that the total net present value of a photovoltaic power charging station that meets the daily electricity demand of 4500 kWh is $3,579,236 and that the cost of energy of the combined energy system is $0.098/kWh. In addition, the photovoltaic powered electric vehicle model has pollutant reduction potentials of 99.8%, 99.7% and 100% for carbon dioxide, sulfur dioxide, and nitrogen oxides, respectively, compared with a traditional gasoline-fueled car. Sensitivity analysis results indicated that interest rate has a relatively strong influence on COE (Cost of Energy). An increase in the interest rate from 0% to 6% increases COE from $0.027/kWh to $0.097/kWh. This analysis also suggests that carbon pricing promotes renewable energy only when the price of carbon is above $20/t.

ACS Style

Bin Ye; Jingjing Jiang; Lixin Miao; Peng Yang; Ji Li; Bo Shen. Feasibility Study of a Solar-Powered Electric Vehicle Charging Station Model. Energies 2015, 8, 13265 -13283.

AMA Style

Bin Ye, Jingjing Jiang, Lixin Miao, Peng Yang, Ji Li, Bo Shen. Feasibility Study of a Solar-Powered Electric Vehicle Charging Station Model. Energies. 2015; 8 (11):13265-13283.

Chicago/Turabian Style

Bin Ye; Jingjing Jiang; Lixin Miao; Peng Yang; Ji Li; Bo Shen. 2015. "Feasibility Study of a Solar-Powered Electric Vehicle Charging Station Model." Energies 8, no. 11: 13265-13283.

Journal article
Published: 17 May 2015 in Transportation Research Part E: Logistics and Transportation Review
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This paper examines the joint optimization of storage location assignment and storage/retrieval scheduling in multi-shuttle automated storage/retrieval systems (AS/RSs) under shared storage, in which the reuse of empty location yielded by retrieval operation is allowed. From the view of analytical model, the advantage of operational mode under shared storage is verified. A variable neighborhood search (VNS) algorithm is developed to solve the large-sized problems. Various numerical experiments are conducted to evaluate the performance of the proposed algorithm and investigate the impact of different parameters on computational efficiency.

ACS Style

Peng Yang; Lixin Miao; Zhaojie Xue; Bin Ye. Variable neighborhood search heuristic for storage location assignment and storage/retrieval scheduling under shared storage in multi-shuttle automated storage/retrieval systems. Transportation Research Part E: Logistics and Transportation Review 2015, 79, 164 -177.

AMA Style

Peng Yang, Lixin Miao, Zhaojie Xue, Bin Ye. Variable neighborhood search heuristic for storage location assignment and storage/retrieval scheduling under shared storage in multi-shuttle automated storage/retrieval systems. Transportation Research Part E: Logistics and Transportation Review. 2015; 79 ():164-177.

Chicago/Turabian Style

Peng Yang; Lixin Miao; Zhaojie Xue; Bin Ye. 2015. "Variable neighborhood search heuristic for storage location assignment and storage/retrieval scheduling under shared storage in multi-shuttle automated storage/retrieval systems." Transportation Research Part E: Logistics and Transportation Review 79, no. : 164-177.

Journal article
Published: 29 January 2014 in Flexible Services and Manufacturing Journal
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In recent years, the Local Container Drayage Problem (LCDP) has received lots of studies in research as part of container transportation. This paper examines the LCDP under a special operation mode in which tractors and trailers can be separated, i.e., tractors can be assigned to a new task at another location while trailers are waiting for packing or unpacking. The problem is formulated as a vehicle routing and scheduling problem with temporal constraints. The resulting formulation can be used to solve small-scale problems. For large-scale problems, we develop a max–min Ant colony optimization algorithm to reduce the computation time. Numerical experiments with randomly generated instances are performed to demonstrate the performance of the algorithm.

ACS Style

Zhaojie Xue; Wei-Hua Lin; Lixin Miao; Canrong Zhang. Local container drayage problem with tractor and trailer operating in separable mode. Flexible Services and Manufacturing Journal 2014, 27, 431 -450.

AMA Style

Zhaojie Xue, Wei-Hua Lin, Lixin Miao, Canrong Zhang. Local container drayage problem with tractor and trailer operating in separable mode. Flexible Services and Manufacturing Journal. 2014; 27 (2-3):431-450.

Chicago/Turabian Style

Zhaojie Xue; Wei-Hua Lin; Lixin Miao; Canrong Zhang. 2014. "Local container drayage problem with tractor and trailer operating in separable mode." Flexible Services and Manufacturing Journal 27, no. 2-3: 431-450.

Journal article
Published: 09 January 2014 in Transportation Research Part E: Logistics and Transportation Review
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This paper examines the Local Container Drayage Problem (LCDP) under an operation mode in which a tractor can be detached from its companion trailer and assigned to a new task. We have incorporated a set of temporal constraints into the classical VRP to realize this operation by utilizing the idle time available to tractors and coordinating the empty containers moving between customers. A tabu search algorithm is proposed. Some numerical experiments are conducted to assess the performance of the proposed algorithm, quantify the benefit of the new operation mode, and identify the conditions under which the mode is effective.

ACS Style

Zhaojie Xue; Canrong Zhang; Wei-Hua Lin; Lixin Miao; Peng Yang. A tabu search heuristic for the local container drayage problem under a new operation mode. Transportation Research Part E: Logistics and Transportation Review 2014, 62, 136 -150.

AMA Style

Zhaojie Xue, Canrong Zhang, Wei-Hua Lin, Lixin Miao, Peng Yang. A tabu search heuristic for the local container drayage problem under a new operation mode. Transportation Research Part E: Logistics and Transportation Review. 2014; 62 ():136-150.

Chicago/Turabian Style

Zhaojie Xue; Canrong Zhang; Wei-Hua Lin; Lixin Miao; Peng Yang. 2014. "A tabu search heuristic for the local container drayage problem under a new operation mode." Transportation Research Part E: Logistics and Transportation Review 62, no. : 136-150.

Article
Published: 10 June 2013 in Journal of Systems Science and Systems Engineering
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This paper proposes a mixed integer programming model for the allocation of rail mounted gantry cranes for four basic yard activities with different priorities. The model pays special attention to the typical features of this kind of gantry cranes, such as a restricted traveling range and a limited number of adjustments during loading and discharging operations. In contrast to most of the literature dealing with these four yard activities individually, this paper models them into an integrated problem, whose computational complexity is proved to be NP-hard. We are therefore motivated to develop a Lagrangian relaxation-based heuristic to solve the problem. We compare the proposed heuristic with the branch-and-bound method that uses commercial software packages. Extensive computational results show that the proposed heuristic achieves competitive solution qualities for solving the tested problems.

ACS Style

Canrong Zhang; Tao Wu; Li Zheng; Lixin Miao. A Lagrangian relaxation-based algorithm for the allocation of yard cranes for yard activities with different priorities. Journal of Systems Science and Systems Engineering 2013, 22, 227 -252.

AMA Style

Canrong Zhang, Tao Wu, Li Zheng, Lixin Miao. A Lagrangian relaxation-based algorithm for the allocation of yard cranes for yard activities with different priorities. Journal of Systems Science and Systems Engineering. 2013; 22 (2):227-252.

Chicago/Turabian Style

Canrong Zhang; Tao Wu; Li Zheng; Lixin Miao. 2013. "A Lagrangian relaxation-based algorithm for the allocation of yard cranes for yard activities with different priorities." Journal of Systems Science and Systems Engineering 22, no. 2: 227-252.