Integrated Agent-based and System Dynamics Modelling for Simulation of Sustainable Mobility

被引:58
作者
Shafiei, Ehsan [1 ,2 ]
Stefansson, Hlynur [1 ]
Asgeirsson, Eyjolfur Ingi [1 ]
Davidsdottir, Brynhildur [2 ]
Raberto, Marco [3 ]
机构
[1] Reykjavik Univ, Sch Sci & Engn, IS-101 Reykjavik, Iceland
[2] Univ Iceland, Sch Engn & Nat Sci, Reykjavik, Iceland
[3] Univ Genoa, Fac Engn, Genoa, Italy
关键词
sustainable mobility; alternative fuel vehicles; dynamic simulation; agent-based model; system dynamics; hybrid modelling; FUEL-CELL VEHICLES; MARKET PENETRATION; ELECTRIC VEHICLES; DIFFUSION; INFRASTRUCTURE; TRANSITION; IMPACT; DECISIONS;
D O I
10.1080/01441647.2012.745632
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
In this article, a conceptual framework for a comprehensive evaluation of the diffusion process of alternative fuel vehicles is introduced. The framework takes into account the most influencing stakeholders, including car manufacturers, car dealers, consumers, energy supply system, fuel stations and government. The underlying mathematical models of different stakeholders are then integrated in one model of the whole energy and transport system. The hybrid modelling framework links the two powerful dynamic simulation approaches of system dynamics (SD) and agent-based (AB) modelling. Integrated modelling structure gives the potential of building more accurate and computationally efficient models for simulating the transition to sustainable mobility. We specify the integration process and the most important linking variables between various energy and transport components. Then the application of the integrated model is explained through a test case and, finally, the applicability of the hybrid AB and SD approach and its potential contribution to the models of transition to sustainable mobility will be concluded.
引用
收藏
页码:44 / 70
页数:27
相关论文
共 75 条
[1]  
[Anonymous], 462506 MIT
[2]   The impact of demographics, built environment attributes, vehicle characteristics, and gasoline prices on household vehicle holdings and use [J].
Bhat, Chandra R. ;
Sen, Sudeshna ;
Eluru, Naveen .
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL, 2009, 43 (01) :1-18
[3]  
Bosshardt M., 2007, P 25 INT C SYST DYN
[4]   Diffusion dynamics in small-world networks with heterogeneous consumers [J].
Delre S.A. ;
Jager W. ;
Janssen M.A. .
Computational and Mathematical Organization Theory, 2007, 13 (2) :185-202
[5]   Targeting and timing promotional activities: An agent-based model for the takeoff of new products [J].
Delre, S. A. ;
Jager, W. ;
Bijmolt, T. H. A. ;
Janssen, M. A. .
JOURNAL OF BUSINESS RESEARCH, 2007, 60 (08) :826-835
[6]   Will It Spread or Not? The Effects of Social Influences and Network Topology on Innovation Diffusion [J].
Delre, Sebastiano A. ;
Jager, Wander ;
Bijmolt, Tammo H. A. ;
Janssen, Marco A. .
JOURNAL OF PRODUCT INNOVATION MANAGEMENT, 2010, 27 (02) :267-282
[7]   An agent-based model to study market penetration of plug-in hybrid electric vehicles [J].
Eppstein, Margaret J. ;
Grover, David K. ;
Marshall, Jeffrey S. ;
Rizzo, Donna M. .
ENERGY POLICY, 2011, 39 (06) :3789-3802
[8]   Uses of agent-based modeling in innovation/new product development research [J].
Garcia, R .
JOURNAL OF PRODUCT INNOVATION MANAGEMENT, 2005, 22 (05) :380-398
[9]  
Grossler A., 2003, 21 INT C SYST DYN SO
[10]   An agent-based simulation approach for the new product diffusion of a novel biomass fuel [J].
Guenther, M. ;
Stummer, C. ;
Wakolbinger, L. M. ;
Wildpaner, M. .
JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY, 2011, 62 (01) :12-20