Exploring critical factors influencing the diffusion of electric vehicles in China: A multi-stakeholder perspective

Research in Transportation Economics

Volumn 66, Issue , 2017, Pages 46-58

  Liu, Hu Chen ^a,b   You, Xiao Yue ^b,c   Xue, Yi Xi ^a   Luan, Xue ^a  

^a SHANGHAI UNIVERSITY   (China)

^b TONGJI UNIVERSITY   (China)

^c UNIVERSITY OF CAMBRIDGE   (United Kingdom)

Author keywords

2 Tuple linguistic method; Computing with words; Critical influencing factors; Decision making trial and evaluation laboratory (DEMATEL); Electric vehicles; Green transportation; Multi criteria decision making (MCDM)

Indexed keywords

EID: 85030792599     PISSN: 07398859     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.retrec.2017.10.001     Document Type: Article

References (61)

1. Barfod, M.B., Kaplan, S., Frenzel, I., Klauenberg, J., COPE-SMARTER - a decision support system for analysing the challenges, opportunities and policy initiatives: A case study of electric commercial vehicles market diffusion in Denmark. Research in Transportation Economics 55 (2016), 3–11.
2. Budde Christensen, T., Wells, P., Cipcigan, L., Can innovative business models overcome resistance to electric vehicles? Better place and battery electric cars in Denmark. Energy Policy 48 (2012), 498–505.
3. Burke, A., Zhu, L., The economics of the transition to fuel cell vehicles with natural gas, hybrid-electric vehicles as the bridge. Research in Transportation Economics 52 (2015), 65–71.
4. Estrella, F.J., Espinilla, M., Herrera, F., Martínez, L., FLINTSTONES: A fuzzy linguistic decision tools enhancement suite based on the 2-tuple linguistic model and extensions. Information Sciences 280 (2014), 152–170.
5. Gabus, A., Fontela, E., World problems, an invitation to further thought within the framework of DEMATEL. 1972, Battelle Geneva Research Centre, Geneva, Switzerland.
6. Geels, F.W., A socio-technical analysis of low-carbon transitions: Introducing the multi-level perspective into transport studies. Journal of Transport Geography 24 (2012), 471–482.
7. Herrera, F., Martínez, L., A 2-tuple fuzzy linguistic representation model for computing with words. IEEE Transactions on Fuzzy Systems 8:6 (2000), 746–752.
8. Huang, S., Hodge, B.M.S., Taheripour, F., Pekny, J.F., Reklaitis, G.V., Tyner, W.E., The effects of electricity pricing on PHEV competitiveness. Energy Policy 39:3 (2011), 1552–1561.
9. Huétink, F.J., der Vooren, A. v., Alkemade, F., Initial infrastructure development strategies for the transition to sustainable mobility. Technological Forecasting & Social Change 77:8 (2010), 1270–1281.
10. Huo, H., Cai, H., Zhang, Q., Liu, F., He, K., Life-cycle assessment of greenhouse gas and air emissions of electric vehicles: A comparison between China and the U.S. Atmospheric Environment 108 (2015), 107–116.
11. Junquera, B., Moreno, B., Álvarez, R., Analyzing consumer attitudes towards electric vehicle purchasing intentions in Spain: Technological limitations and vehicle confidence. Technological Forecasting and Social Change 109 (2016), 6–14.
12. Kaplan, S., Gruber, J., Reinthaler, M., Klauenberg, J., Intentions to introduce electric vehicles in the commercial sector: A model based on the theory of planned behaviour. Research in Transportation Economics 55 (2016), 12–19.
13. Langbroek, J.H.M., Franklin, J.P., Susilo, Y.O., The effect of policy incentives on electric vehicle adoption. Energy Policy 94 (2016), 94–103.
14. Lim, D.J., Jahromi, S.R., Anderson, T.R., Tudorie, A.A., Comparing technological advancement of hybrid electric vehicles (HEV) in different market segments. Technological Forecasting & Social Change 97 (2015), 140–153.
15. Lin, Z., Optimizing and diversifying electric vehicle driving range for U.S. drivers. Transportation Science 48:4 (2014), 635–650.
16. Liu, H.C., Lin, Q.L., Wu, J., Dependent interval 2-tuple linguistic aggregation operators and their application to multiple attribute group decision making. International Journal of Uncertainty, Fuzziness and Knowledge-based Systems 22:5 (2014), 717–735.
17. Liu, H.C., You, J.X., Chen, S., Chen, Y.Z., An integrated failure mode and effect analysis approach for accurate risk assessment under uncertainty. IIE Transactions 48:11 (2016), 1027–1042.
18. Liu, H.C., You, J.X., Ding, X.F., Su, Q., Improving risk evaluation in FMEA with a hybrid multiple criteria decision making method. International Journal of Quality & Reliability Management 32:7 (2015), 763–782.
19. Liu, H.C., You, J.X., Lu, C., Chen, Y.Z., Evaluating health-care waste treatment technologies using a hybrid multi-criteria decision making model. Renewable and Sustainable Energy Reviews 41 (2015), 932–942.
20. Li, Y., Zhan, C., de Jong, M., Lukszo, Z., Business innovation and government regulation for the promotion of electric vehicle use: Lessons from Shenzhen, China. Journal of Cleaner Production 134 (2016), 371–383.
21. Lu, C., Liu, H.-C., Tao, J., Rong, K., Hsieh, Y.-C., A key stakeholder-based financial subsidy stimulation for Chinese EV industrialization: A system dynamics simulation. Technological Forecasting and Social Change 118 (2017), 1–14.
22. Lu, M., Wei, G.W., Models for multiple attribute decision making with dual hesitant fuzzy uncertain linguistic information. International Journal of Knowledge-based and Intelligent Engineering Systems 20:4 (2016), 217–227.
23. Martínez, L., Herrera, F., An overview on the 2-tuple linguistic model for computing with words in decision making: Extensions, applications and challenges. Information Sciences 207 (2012), 1–18.
24. Mersky, A.C., Sprei, F., Samaras, C., Qian, Z.S., Effectiveness of incentives on electric vehicle adoption in Norway. Transportation Research D: Transport and Environment 46 (2016), 56–68.
25. Mohamed, M., Higgins, C., Ferguson, M., Kanaroglou, P., Identifying and characterizing potential electric vehicle adopters in Canada: A two-stage modelling approach. Transport Policy 52 (2016), 100–112.
26. Nie, R.X., Wang, J.Q., Li, L., A shareholder voting method for proxy advisory firm selection based on 2-tuple linguistic picture preference relation. Applied Soft Computing 60 (2017), 520–539.
27. Oliveira, G.D., Dias, L.M.C., Sarabando dos Santos, P.C., Modelling consumer preferences for electric vehicles in Portugal: An exploratory study. Management of Environmental Quality 26:6 (2015), 929–950.
28. Rezvani, Z., Jansson, J., Bodin, J., Advances in consumer electric vehicle adoption research: A review and research agenda. Transportation Research Part D: Transport and Environment 34 (2015), 122–136.
29. Riesz, J., Sotiriadis, C., Ambach, D., Donovan, S., Quantifying the costs of a rapid transition to electric vehicles. Applied Energy 180 (2016), 287–300.
30. Rodríguez, R.M., Labella, Á., Martínez, L., An overview on fuzzy modelling of complex linguistic preferences in decision making. International Journal of Computational Intelligence Systems 9:sup1 (2016), 81–94.
31. Rodríguez, R.M., Martínez, L., An analysis of symbolic linguistic computing models in decision making. International Journal of General Systems 42:1 (2013), 121–136.
32. Rotmans, J., Kemp, R., Asselt, M. v, More evolution than revolution: Transition management in public policy. Foresight 3:1 (2001), 15–31.
33. Sang, Y.N., Bekhet, H.A., Modelling electric vehicle usage intentions: An empirical study in Malaysia. Journal of Cleaner Production 92 (2015), 75–83.
34. Seixas, J., Simões, S., Dias, L., Kanudia, A., Fortes, P., Gargiulo, M., Assessing the cost-effectiveness of electric vehicles in European countries using integrated modeling. Energy Policy 80 (2015), 165–176.
35. Shi, X., Wang, X., Yang, J., Sun, Z., Electric vehicle transformation in Beijing and the comparative eco-environmental impacts: A case study of electric and gasoline powered taxis. Journal of Cleaner Production 137 (2016), 449–460.
36. Si, S.L., You, X.Y., Liu, H.C., Huang, J., Identifying key performance indicators for holistic hospital management with a modified DEMATEL approach. International Journal of Environmental Research and Public Health, 14(8), 2017, 934.
37. Sohnen, J., Fan, Y., Ogden, J., Yang, C., A network-based dispatch model for evaluating the spatial and temporal effects of plug-in electric vehicle charging on GHG emissions. Transportation Research Part D: Transport and Environment 38 (2015), 80–93.
38. Song, W., Ming, X., Liu, H.C., Identifying critical risk factors of sustainable supply chain management: A rough strength-relation analysis method. Journal of Cleaner Production 143 (2017), 100–115.
39. Steinhilber, S., Wells, P., Thankappan, S., Socio-technical inertia: Understanding the barriers to electric vehicles. Energy Policy 60 (2013), 531–539.
40. Taefi, T.T., Kreutzfeldt, J., Held, T., Fink, A., Supporting the adoption of electric vehicles in urban road freight transport – a multi-criteria analysis of policy measures in Germany. Transportation Research a: Policy and Practice 91 (2016), 61–79.
41. Tai, W.S., Chen, C.T., A new evaluation model for intellectual capital based on computing with linguistic variable. Expert Systems with Applications 36:2, Part 2 (2009), 3483–3488.
42. Tushman, M.L., Anderson, P., Technological discontinuities and organizational environments. Administrative Science Quarterly 31:3 (1986), 439–465.
43. Vergis, S., Chen, B., Comparison of plug-in electric vehicle adoption in the United States: A state by state approach. Research in Transportation Economics 52 (2015), 56–64.
44. Wang, S., Fan, J., Zhao, D., Yang, S., Fu, Y., Predicting consumers' intention to adopt hybrid electric vehicles: Using an extended version of the theory of planned behavior model. Transportation 43:1 (2016), 123–143.
45. Wang, N., Yan, R., Research on consumers' use willingness and opinions of electric vehicle sharing: An empirical study in Shanghai. Sustainability 8:1 (2016), 1–18.
46. Wan, Z., Sperling, D., Wang, Y., China's electric car frustrations. Transportation Research Part D: Transport and Environment 34 (2015), 116–121.
47. Wei, G., Interval valued hesitant fuzzy uncertain linguistic aggregation operators in multiple attribute decision making. International Journal of Machine Learning and Cybernetics 7:6 (2016), 1093–1114.
48. Wei, G., Alsaadi, F.E., Hayat, T., Alsaedi, A., Hesitant fuzzy linguistic arithmetic aggregation operators in multiple attribute decision making. Iranian Journal of Fuzzy Systems 13:4 (2016), 1–16.
49. Wei, G., Alsaadi, F.E., Hayat, T., Alsaedi, A., A linear assignment method for multiple criteria decision analysis with hesitant fuzzy sets based on fuzzy measure. International Journal of Fuzzy Systems 19:3 (2017), 607–614.
50. Wei, G.W., Xu, X.R., Deng, D.X., Interval-valued dual hesitant fuzzy linguistic geometric aggregation operators in multiple attribute decision making. International Journal of Knowledge-based and Intelligent Engineering Systems 20:4 (2016), 189–196.
51. Weldon, P., Morrissey, P., O'Mahony, M., Environmental impacts of varying electric vehicle user behaviours and comparisons to internal combustion engine vehicle usage - an Irish case study. Journal of Power Sources 319 (2016), 27–38.
52. Wells, P., Converging transport policy, industrial policy and environmental policy: The implications for localities and social equity. Local Economy 27:7 (2012), 749–763.
53. Wu, X., Freese, D., Cabrera, A., Kitch, W.A., Electric vehicles' energy consumption measurement and estimation. Transportation Research Part D: Transport and Environment 34 (2015), 52–67.
54. Xu, Z.S., An overview of methods for determining OWA weights. International Journal of Intelligent Systems 20:8 (2005), 843–865.
55. Xue, Y.X., You, J.X., Liang, X.K., Liu, H.C., Adopting strategic niche management to evaluate EV demonstration projects in China. Sustainability, 8(2), 2016, 142.
56. Xue, Y.X., You, J.X., Zhao, X., Liu, H.C., An integrated linguistic MCDM approach for robot evaluation and selection with incomplete weight information. International Journal of Production Research 54:18 (2016), 5452–5467.
57. Yager, R.R., On ordered weighted averaging aggregation operators in multicriteria decisionmaking. IEEE Transactions on Systems, Man and Cybernetics 18:1 (1988), 183–190.
58. Yong, J.Y., Ramachandaramurthy, V.K., Tan, K.M., Mithulananthan, N., A review on the state-of-the-art technologies of electric vehicle, its impacts and prospects. Renewable and Sustainable Energy Reviews 49 (2015), 365–385.
59. Yuan, X., Li, L., Gou, H., Dong, T., Energy and environmental impact of battery electric vehicle range in China. Applied Energy 157 (2015), 75–84.
60. Yu, Z., Li, S., Tong, L., Market dynamics and indirect network effects in electric vehicle diffusion. Transportation Research Part D: Transport and Environment 47 (2016), 336–356.
61. Zhao, X., Doering, O.C., Tyner, W.E., The economic competitiveness and emissions of battery electric vehicles in China. Applied Energy 156 (2015), 666–675.