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Dmitri Muravev
Department of Logistics and Transportation Systems Management, Mining Engineering and Transport Institute, Nosov Magnitogorsk State Technical University, 455000 Magnitogorsk, Russia

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Journal article
Published: 05 June 2021 in International Journal of Environmental Research and Public Health
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In this paper, an eco-efficiency analysis is conducted using the epsilon-based measure data envelopment analysis (EBM-DEA) model for Russian cities along the Northern Sea Route (NSR). The EBM-DEA model includes five input variables: population, capital, public investment, water supply, and energy supply and four output variables: gross regional product (GRP), greenhouse gas (GHG) emissions, solid waste, and water pollution. The pattern of eco-efficiency of 28 Russian cities along the NSR is empirically analyzed based on the associated real data across the years from 2010 to 2019. The empirical results obtained from the analysis show that St. Petersburg, Provideniya, Nadym, N. Urengoy, and Noyabrsk are eco-efficient throughout the 10 years. The results also indicate that the cities along the central section of the NSR are generally more eco-efficient than those along other sections, and the cities with higher level of GRPs per capita have relatively higher eco-efficiency with a few exceptions. The study provides deeper insights into the causes of disparity in eco-efficiency, and gives further implications on eco-efficiency improvement strategies. The contributions of this study lie in the fact that new variables are taken into account and new modeling techniques are employed for the assessment of the eco-efficiency of the Russian cities.

ACS Style

Shuaiyu Yao; Mengmeng Chen; Dmitri Muravev; Wendi Ouyang. Eco-Efficiency Analysis for the Russian Cities along the Northern Sea Route: A Data Envelopment Analysis Approach Using an Epsilon-Based Measure Model. International Journal of Environmental Research and Public Health 2021, 18, 6097 .

AMA Style

Shuaiyu Yao, Mengmeng Chen, Dmitri Muravev, Wendi Ouyang. Eco-Efficiency Analysis for the Russian Cities along the Northern Sea Route: A Data Envelopment Analysis Approach Using an Epsilon-Based Measure Model. International Journal of Environmental Research and Public Health. 2021; 18 (11):6097.

Chicago/Turabian Style

Shuaiyu Yao; Mengmeng Chen; Dmitri Muravev; Wendi Ouyang. 2021. "Eco-Efficiency Analysis for the Russian Cities along the Northern Sea Route: A Data Envelopment Analysis Approach Using an Epsilon-Based Measure Model." International Journal of Environmental Research and Public Health 18, no. 11: 6097.

Journal article
Published: 27 May 2020 in International Journal of Information Management
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Due to numerous uncertainties such as bad weather conditions, frequent changes in the schedules of vessels, breakdowns of equipment, port managers are aiming at providing adaptive and flexible strategic planning of their facilities, especially intermodal terminals. In this research, we investigate a two-stage optimization of intermodal terminals main parameters via using AnyLogic simulation platform. We have developed a set of hybrid simulation models to optimize the main parameters of intermodal terminals which are also called dry ports. To make an express evaluation of the preliminary implementation of dry ports, we have developed an agent-based system dynamics simulation model to achieve the stable state of the main parameters of intermodal terminals. To clarify the obtained averaged benefits of the main dry ports parameters while the port managers make key decisions on the investments into implementation of intermodal terminals, we have developed an agent-based discrete-event simulation model of a seaport – a dry port system. We show that the combination of the agent-based modeling with other simulation approaches simplifies the process of designing simulation models and increases their visibility. The developed set of models allows us to compute the balanced values of the parameters, while an effective operation of a seaport – intermodal terminal system is achieved. On the basis of the provided case study on one of the busiest ports in China, we prove the adequacy and validity of the developed simulation models. Due to the lack of systematic approach to optimization of the main parameters of intermodal terminals in logistic industry, our findings set herein could improve the decision-making process related to the selection of strategic facility planning in the field of intermodal terminals.

ACS Style

Dmitri Muravev; Hao Hu; Aleksandr Rakhmangulov; Pavel Mishkurov. Multi-agent optimization of the intermodal terminal main parameters by using AnyLogic simulation platform: Case study on the Ningbo-Zhoushan Port. International Journal of Information Management 2020, 57, 102133 .

AMA Style

Dmitri Muravev, Hao Hu, Aleksandr Rakhmangulov, Pavel Mishkurov. Multi-agent optimization of the intermodal terminal main parameters by using AnyLogic simulation platform: Case study on the Ningbo-Zhoushan Port. International Journal of Information Management. 2020; 57 ():102133.

Chicago/Turabian Style

Dmitri Muravev; Hao Hu; Aleksandr Rakhmangulov; Pavel Mishkurov. 2020. "Multi-agent optimization of the intermodal terminal main parameters by using AnyLogic simulation platform: Case study on the Ningbo-Zhoushan Port." International Journal of Information Management 57, no. : 102133.

Journal article
Published: 10 January 2020 in Symmetry
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Currently, the trade volume between China and the European Union is experiencing rapid growth. However, there are many bottlenecks in the operation of the China Railway Express, such as imbalance in inbound and outbound transported containers in the Sino–European direction and a low profit margin. More than fifty-three rail routes in China provide rail transportation to European cities and have small traffic volumes. However, such a dramatic situation affects transportation costs, which are three times higher compared with maritime transportation, causing uncertainty related to the demand of Chinese customers. This study analyzes the shortcomings of previous research studies related to multicriteria decision-making (MCDM) models applied in the field of logistics and transportation. The study proposes a novel approach to determine the optimal locations of the CR Express international logistics centers. The proposed approach involves the application of a MCDM model using the DEMATEL-MAIRCA method. This technique finds the closest solution to the ideal one by identifying the value of the best alternative in line with the observed criterion, and by measuring the distances of other alternatives according to the observed criterion of the ideal value. Finally, we show the similarity of the proposed methodology to other MCMD methods, which is one of the key topics of the Symmetry Journal, to prove the validity of the applied DEMATEL-MAIRCA method. Preliminary results show that in view of increased container turnover between China and the European Union, the determination of optimal locations for CR Express international logistics centers should be carried out dynamically.

ACS Style

Dmitri Muravev; Hao Hu; Hengshuo Zhou; Dragan Pamucar. Location Optimization of CR Express International Logistics Centers. Symmetry 2020, 12, 143 .

AMA Style

Dmitri Muravev, Hao Hu, Hengshuo Zhou, Dragan Pamucar. Location Optimization of CR Express International Logistics Centers. Symmetry. 2020; 12 (1):143.

Chicago/Turabian Style

Dmitri Muravev; Hao Hu; Hengshuo Zhou; Dragan Pamucar. 2020. "Location Optimization of CR Express International Logistics Centers." Symmetry 12, no. 1: 143.

Journal article
Published: 23 April 2019 in Sustainability
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The continuous increase of trade between China and Europe brought congestion problems at major Chinese seaports. An effective way to solve this issue is to set up intermodal terminals often called dry ports. However, the dynamics of various influenced factors on dry port’s implementation calls for the adaptive and flexible planning of the terminal. This paper analyzes the shortcomings of previous research related to the dry port’s implementation from the perspective of the applied numerous parameters concerning evaluating its operational efficiency and sustainability. The operational efficiency and sustainability of a dry port are evaluated by the developed system of the main parameters. This system gives the understanding of how these parameters are interrelated between each other and fills the gap in studies of inverse interrelations between main parameters of a dry port. To fully understand the sustainability of the main parameters of a dry port, this paper puts forward the simulation models description of the developed system. The developed model is a practical tool to evaluate the reliability of hypotheses about the functional interrelations between the main parameters of the dry port, as well as to evaluate the sustainability of the system. Finally, in order to develop functional interrelations between main parameters, the data from several Chinese dry ports has been collected. Finally, the developed multi-agent system dynamics model has been validated in the case study of Yiwu dry port located in Zhejiang, China.

ACS Style

Dmitri Muravev; Aleksandr Rakhmangulov; Hao Hu; Hengshuo Zhou. The Introduction to System Dynamics Approach to Operational Efficiency and Sustainability of Dry Port’s Main Parameters. Sustainability 2019, 11, 2413 .

AMA Style

Dmitri Muravev, Aleksandr Rakhmangulov, Hao Hu, Hengshuo Zhou. The Introduction to System Dynamics Approach to Operational Efficiency and Sustainability of Dry Port’s Main Parameters. Sustainability. 2019; 11 (8):2413.

Chicago/Turabian Style

Dmitri Muravev; Aleksandr Rakhmangulov; Hao Hu; Hengshuo Zhou. 2019. "The Introduction to System Dynamics Approach to Operational Efficiency and Sustainability of Dry Port’s Main Parameters." Sustainability 11, no. 8: 2413.

Journal article
Published: 01 January 2018 in Modern Problems of Russian Transport Complex
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Развитие общественного транспорта является эффективным способом уменьшения заторов на улично-дорожной сети и повышения эффективности перевозок пассажиров в городах. Повышение качества городских автобусных перевозок способствует привлечению большего числа пассажиров. В случае, если момент времени прибытия автобусов на остановочные пункты не прогнозируется, автобусы движутся с нарушением графика, что вызывает беспокойство у пассажиров. Это является одним из факторов снижения качества пассажирских транспортных услуг. В настоящей статье представлен метод прогнозирования моментов времени прибытия автобусов на остановочные пункты на основе цепей Маркова, учитывающий пространственно-временные характеристики движения автобусов. Предлагаемый метод прогнозирования позволяет упростить планирование пассажирами маршрута их передвижения по УДС и сократить время ожидания на остановочных пунктах. Разработанный алгоритм прогнозирования прибытия автобусов на остановочные пункты апробирован на реальных данных автобусного маршрута №114 (г. Харбин, КНР). Преимуществами предлагаемого метода являются малая погрешность результатов прогнозирования, а также простота использования метода и алгоритма его реализации.

ACS Style

Yuan Tian; Aleksandr Rakhmangulov; Dmitri Muravev; Siqing Wang; Nosov Magnitogorsk State Technical University; Shanghai Jiao Tong University; Harbin Institute of Technology. Bus arrival time prediction algorithm based on Markov chain. Modern Problems of Russian Transport Complex 2018, 8, 29 -37.

AMA Style

Yuan Tian, Aleksandr Rakhmangulov, Dmitri Muravev, Siqing Wang, Nosov Magnitogorsk State Technical University, Shanghai Jiao Tong University, Harbin Institute of Technology. Bus arrival time prediction algorithm based on Markov chain. Modern Problems of Russian Transport Complex. 2018; 8 (2):29-37.

Chicago/Turabian Style

Yuan Tian; Aleksandr Rakhmangulov; Dmitri Muravev; Siqing Wang; Nosov Magnitogorsk State Technical University; Shanghai Jiao Tong University; Harbin Institute of Technology. 2018. "Bus arrival time prediction algorithm based on Markov chain." Modern Problems of Russian Transport Complex 8, no. 2: 29-37.

Journal article
Published: 01 October 2017 in Naše more
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Nowadays, the reduction of the harmful effect on the environment is one of the essential state-level and international challenges. The solution of this problem lies in a worldwide use of concepts and principles of sustainable development, but also in transport and logistics performance by principles and methods of green logistics. The first part of the paper presents the review of the most authoritative studies in the field of sustainable development and green logistics. The second part of the article reflects the original approach to achieving the goals of sustainable development in the operation of logistics and transport systems based on the harmonisation of economic purposes and principles of logistics with principles of sustainable development that are reached through the systematisation of reviewed methods and instruments of logistics.

ACS Style

Aleksandr Rakhmangulov; Aleksander Sladkowski; Nikita Osintsev; Dmitri Muravev. Zelena logistika: element koncepta održivog razvoja. Dio 1. Naše more 2017, 64, 120 -126.

AMA Style

Aleksandr Rakhmangulov, Aleksander Sladkowski, Nikita Osintsev, Dmitri Muravev. Zelena logistika: element koncepta održivog razvoja. Dio 1. Naše more. 2017; 64 (3):120-126.

Chicago/Turabian Style

Aleksandr Rakhmangulov; Aleksander Sladkowski; Nikita Osintsev; Dmitri Muravev. 2017. "Zelena logistika: element koncepta održivog razvoja. Dio 1." Naše more 64, no. 3: 120-126.