An Agent-Based Model of Eurasia and Simulation of Consequences of Large Infrastructure Projects

被引:3
|
作者
Makarov, V. L. [1 ]
Bakhtizin, A. R. [1 ]
Sushko, E. D. [1 ]
Ageeva, A. F. [1 ]
机构
[1] RAS, Cent Econ Math Inst, 47 Nakhimovsky Ave, Moscow 117418, Russia
来源
EKONOMIKA REGIONA-ECONOMY OF REGION | 2018年 / 14卷 / 04期
基金
俄罗斯科学基金会;
关键词
digital simulation of systems; agent-based modelling; artificial society; demography; types of population reproduction; international migration; labour migration; analysis of migration processes in Eurasia; the impact of large infrastructure projects on population migration; software; a study of an object behaviour based on its digital model;
D O I
10.17059/2018-4-4
中图分类号
K9 [地理];
学科分类号
0705 ;
摘要
The implementation of large infrastructure projects has a significant impact on the spatial location of production and change of trade flows. It causes the changes in migration flows and influences the socio-economic development of territories involved in the project. Preliminary assessment of the consequences of the implementation of similar projects requires the use of models. One of the modern directions of simulating is the agent-based approach. It allows to recreate a structure and behaviour of real socioeconomic systems in an artificial environment and to imitate their behaviour if external conditions change. The realism of the simulation of the main socio-economic processes determines the success of pursuing agent-based models to meet the challenges of forecasting. The article describes the construction of the agent-based model of the countries of Eurasia, imitating the basic processes of population movement in these countries, as well as the consequences of implementing large infrastructure projects as a result of the actions of many independent agents. There are two types of agents in the model: a) countries that are capable of lobbying for the implementation of profitable projects, and b) people who live in these countries, who create families, give birth to children and choose the type of activity and place of residence. In agents behaviour's algorithm, we consider factors, revealed as a result of the research of actual migration processes in the countries of Eurasia. This has allowed to recreate in the model the imitation of people's behaviour close to reality. The model construction was tested for two routes of New Silk Road. During the experiments, we monitored the changes of economic and demographic indicators for each participating country. Thus, for Russia the growth of total trade turnover (9.6%) and net export (1.5 %) was observed. Participation in the project gave to China the growth 3.8 % and 7.7%, respectively. The small countries (Georgia, Bulgaria) showed the reduction of migration outflow and improvement of age structure of the population. The model can be used for preliminary assessment of the consequences of the large infrastructure projects implementation.
引用
收藏
页码:1102 / 1116
页数:15
相关论文
共 50 条
  • [31] An agent-based grid computing infrastructure
    Tang, J
    Zhang, MJ
    PARALLEL AND DISTRIBUTED PROCESSING AND APPLICATIONS, 2005, 3758 : 630 - 644
  • [32] Agent-Based Wiki Page Simulation: A Conceptual Model
    McHaney, Roger W.
    Mossberg, Jonathan
    SIMULATION AND MODELING METHODOLOGIES, TECHNOLOGIES AND APPLICATIONS (SIMULTECH 2015), 2016, 442 : 137 - 155
  • [33] An Agent-Based Simulation Model for Pedestrian Unidirectional Movement
    Franca, Robson dos S.
    Marietto, Maria das Gracas B.
    de Santana, Wallace R.
    Kobayashi, Guiou
    2009 SECOND INTERNATIONAL CONFERENCE ON THE APPLICATIONS OF DIGITAL INFORMATION AND WEB TECHNOLOGIES (ICADIWT 2009), 2009, : 375 - 379
  • [34] Agent-based enterprise strategy performance simulation model
    Feng, Yan-Jie
    Wang, Huan-Chen
    Xitong Fangzhen Xuebao / Journal of System Simulation, 2003, 15 (07):
  • [35] Mesoscopic Traffic Flow Model for Agent-Based Simulation
    de Souza, Felipe
    Verbas, Omer
    Auld, Joshua
    10TH INTERNATIONAL CONFERENCE ON AMBIENT SYSTEMS, NETWORKS AND TECHNOLOGIES (ANT 2019) / THE 2ND INTERNATIONAL CONFERENCE ON EMERGING DATA AND INDUSTRY 4.0 (EDI40 2019) / AFFILIATED WORKSHOPS, 2019, 151 : 858 - 863
  • [36] An agent-based environment for simulation-model composition
    Moradi, Farshad
    Ayani, Rassul
    PADS 2008: 22ND INTERNATIONAL WORKSHOP ON PRINCIPLES OF ADVANCED AND DISTRIBUTED SIMULATION, PROCEEDINGS, 2008, : 175 - +
  • [37] Towards an Multilevel Agent-based Model for Traffic Simulation
    Haman, Igor Tchappi
    Kamla, Vivient Corneille
    Galland, Stephane
    Kamgang, Jean Claude
    8TH INTERNATIONAL CONFERENCE ON AMBIENT SYSTEMS, NETWORKS AND TECHNOLOGIES (ANT-2017) AND THE 7TH INTERNATIONAL CONFERENCE ON SUSTAINABLE ENERGY INFORMATION TECHNOLOGY (SEIT 2017), 2017, 109 : 887 - 892
  • [38] Enhancing health care infrastructure resiliency through an agent-based simulation methodology
    Carraminana, David
    Bernardos, Ana M.
    Besada, Juan A.
    Casar, Jose R.
    2023 INTERNATIONAL CONFERENCE ON INFORMATION AND COMMUNICATION TECHNOLOGIES FOR DISASTER MANAGEMENT, ICT-DM, 2023, : 75 - 78
  • [39] Residential development simulation based on learning by agent-based model
    Mirzahossein, Hamid
    Noferesti, Vahid
    Jin, Xia
    TEMA-JOURNAL OF LAND USE MOBILITY AND ENVIRONMENT, 2022, 15 (02) : 193 - 207
  • [40] Negotiation and Coordination in Carpooling: Agent-Based Simulation Model
    Hussain, Iftikhar
    Knapen, Luk
    Yasar, Ansar-UI-Haque
    Bellemans, Tom
    Janssens, Davy
    Wets, Geert
    TRANSPORTATION RESEARCH RECORD, 2016, (2542) : 92 - 101