Initial infrastructure development strategies for the transition to sustainable mobility

被引:56
作者
Huetink, Floris J. [1 ]
van der Vooren, Alexander [1 ]
Alkemade, Floortje [1 ]
机构
[1] Univ Utrecht, Dept Innovat Studies, Copernicus Inst Sustainable Dev, Innovat Studies Grp Utrecht, NL-3508 TC Utrecht, Netherlands
关键词
Infrastructure development; Technological change; Hydrogen; Agent-based modeling; INNOVATION DIFFUSION; VEHICLES; FUEL; MODEL;
D O I
10.1016/j.techfore.2010.03.012
中图分类号
F [经济];
学科分类号
02 ;
摘要
Within the Dutch transition policy framework, the transition to hydrogen-based transport is seen as a promising option towards a sustainable transport system. One aspect of such transition processes that is emphasized in transition management is learning about user behaviour and preferences. However, while earlier research on sustainable mobility acknowledges the importance of refuelling infrastructure, the question of how to unroll such an infrastructure and the role of user practices and user behaviour largely remains unanswered. In this paper we present an agent-based model to study the process of development from niche to market for hydrogen vehicles. We thereby focus on the role of users in this process and support our model by empirical data. Within this model the effects of different strategies for hydrogen infrastructure development on hydrogen vehicle fleet penetration are studied. More specifically, diffusion patterns for hydrogen vehicles are created through the interactions of consumers, refuelling stations and technological learning. The main result is that social network effects do influence the technological trajectory of hydrogen vehicles and thus should be taken into account by infrastructure developers and policymakers. (C) 2010 Elsevier Inc. All rights reserved.
引用
收藏
页码:1270 / 1281
页数:12
相关论文
共 38 条
[1]   Social network effects on the extent of innovation diffusion: A computer simulation [J].
Abrahamson, E ;
Rosenkopf, L .
ORGANIZATION SCIENCE, 1997, 8 (03) :289-309
[2]   Forecasting technology costs via the experience curve - Myth or magic? [J].
Alberth, Stephan .
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2008, 75 (07) :952-983
[3]  
ALKEMADE F, 2009, 0908 ISU
[4]   A complex systems methodology to transition management [J].
Alkemade, Floortje ;
Frenken, Koen ;
Hekkert, Marko P. ;
Schwoon, Malte .
JOURNAL OF EVOLUTIONARY ECONOMICS, 2009, 19 (04) :527-543
[5]  
[Anonymous], 2003, Diffusion of Innovations
[6]   THE ECONOMIC-IMPLICATIONS OF LEARNING BY DOING [J].
ARROW, KJ .
REVIEW OF ECONOMIC STUDIES, 1962, 29 (80) :155-173
[7]  
ARTHUR WB, 1989, ECON J, V99, P106
[8]  
*BOVAG RAI, 2007, MOB CIJF 2007 AUT
[9]   DEMAND FOR CLEAN-FUEL VEHICLES IN CALIFORNIA - A DISCRETE-CHOICE STATED PREFERENCE PILOT PROJECT [J].
BUNCH, DS ;
BRADLEY, M ;
GOLOB, TF ;
KITAMURA, R ;
OCCHIUZZO, GP .
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE, 1993, 27 (03) :237-253
[10]   A percolation model of eco-innovation diffusion: The relationship between diffusion, learning economies and subsidies [J].
Cantono, Simona ;
Silverberg, Gerald .
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2009, 76 (04) :487-496