Spatial multi-criteria assessment of potential lead markets for electrified vehicles in Europe

被引:38
作者
Zubaryeva, Alyona [1 ,2 ]
Thiel, Christian [1 ]
Zaccarelli, Nicola [2 ]
Barbone, Enrico [2 ,3 ]
Mercier, Arnaud [1 ]
机构
[1] European Commiss, Joint Res Ctr, Inst Energy & Transport, NL-1755 LE Petten, Netherlands
[2] Univ Salento, Dept Biol & Environm Sci & Technol Ecotekne, I-73100 Lecce, Italy
[3] Agcy Prevent & Protect Environm Puglia Reg, I-70126 Bari, Italy
关键词
Electric vehicles; AHP; Multi-criteria analysis; Lead markets; GIS; DECISION-ANALYSIS; ENERGY; SYSTEMS;
D O I
10.1016/j.tra.2012.05.018
中图分类号
F [经济];
学科分类号
02 ;
摘要
This study presents a modeling approach that focuses on the identification of potential lead markets for electric-drive vehicles (EDVs) in Europe. It is based on a combination of several selected economic, social, environmental, and transport-related factors. The modeling approach is implemented in a GIS-based multi-criteria decision support process with fuzzy measures, enabling an assessment at different spatial and temporal scales under different EDV market penetration scenarios for Europe. The decision support system embeds a multi-criteria analysis based on selected expert-weighted market penetration drivers. The spatial scale chosen for the application of the decision support process are NUTS2 regions and cities within EU27 member states. Three scenarios are investigated, a business as usual, a moderate change, and an accelerated innovation scenario. Across the scenario horizon, it is shown how lead regions for EDVs will be changing in time between first early-adopter areas towards other long-term potential lead regions, depending on the evolution of the market drivers. The European regions and cities which will have a higher lead market potential score in 2020 and 2030 are identified. Our model solution suggests that with the business-as-usual scenario there will be a few insular lead market areas in 2020 and a relatively limited number of more connected lead regions in 2030. The other two scenarios explored suggest a more positive picture leading for the case of the 2030 accelerated scenario to a wide distribution of EDVs across most of Germany, the Netherlands. France, the UK. Ireland, and Italy. The cities of London, Madrid, Berlin and Rome would show high EDV sales under this scenario. (C) 2012 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1477 / 1489
页数:13
相关论文
共 35 条
  • [1] [Anonymous], 2006, R LANG ENV STAT COMP
  • [2] [Anonymous], 2010, TECHN ROADM EL PLUG
  • [3] A GIS-based decision support system for planning urban transportation policies
    Arampatzis, G
    Kiranoudis, CT
    Scaloubacas, P
    Assimacopoulos, D
    [J]. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2004, 152 (02) : 465 - 475
  • [4] Aronoff S., 1989, Geographyc Information Systems: a management perpective, P294
  • [5] Lead markets and regulation: a framework for analyzing the international diffusion of environmental innovations
    Beise, M
    Rennings, K
    [J]. ECOLOGICAL ECONOMICS, 2005, 52 (01) : 5 - 17
  • [6] Implementing an extension of the analytical hierarchy process using ordered weighted averaging operators with fuzzy quantifiers in ArcGIS
    Boroushaki, Sohell
    Malczewski, Jacek
    [J]. COMPUTERS & GEOSCIENCES, 2008, 34 (04) : 399 - 410
  • [7] STEEDS: A strategic transport-energy-environment decision support
    Brand, C
    Mattarelli, M
    Moon, D
    Calvo, RW
    [J]. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2002, 139 (02) : 416 - 435
  • [8] Brown A. L., 2002, Computers, Environment and Urban Systems, V26, P577, DOI 10.1016/S0198-9715(01)00016-3
  • [9] A participatory systems approach to modeling social, economic, and ecological components of bioenergy
    Buchholz, Thomas S.
    Volk, Timothy A.
    Luzadis, Valerie A.
    [J]. ENERGY POLICY, 2007, 35 (12) : 6084 - 6094
  • [10] Globalization: Modeling technology adoption timing across countries
    Dekimpe, MG
    Parker, PM
    Sarvary, M
    [J]. TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2000, 63 (01) : 25 - 42