Beijing passenger car travel survey: implications for alternative fuel vehicle deployment

Mitigation and Adaptation Strategies for Global Change

Volumn 20, Issue 5, 2015, Pages 817-835

  Wang, Hewu ^a   Zhang, Xiaobin ^a   Wu, Lvwei ^a   Hou, Cong ^a   Gong, Huiming ^b   Zhang, Qian ^a   Ouyang, Minggao ^a  

^a TSINGHUA UNIVERSITY   (China)

^b The Energy Foundation   (China)

Author keywords

All electric range; Charging strategy; Daily driving distance; Electric vehicle; Fuel saving; GPS logger; Plug in hybrid electric vehicle; Private passenger car

Indexed keywords

EID: 84939989188     PISSN: 13812386     EISSN: 15731596     Source Type: Journal    
DOI: 10.1007/s11027-014-9609-9     Document Type: Article

References (38)

1. Al-alawi Baha M, Bradley TH (2013) Total cost of ownership, payback, and consumer preference modeling of plug-in hybrid electric vehicles. Appl Energy 103:488–506, Beijing Municipal Commission of Transport, Beijing Transportation Research Center
2. Bradley TH, Quinn CW (2010) Analysis of plug-in hybrid electric vehicle utility factors. J Power Sources 195(16):5399–5408
3. Dixon RK, Wang X, Wang MQ et al (2011) Development and demonstration of fuel cell vehicles and supporting infrastructure in China. Mitig Adapt Strateg Glob Chang 16(7):775–789
4. DNTS (Danish National Travel Survey) (2014) http://www.modelcenter.transport.dtu.dk/english/TU/Latest_dataset. Cited 18 February 2014.
5. Dong J, Liu C, Lin Z (2014) Charging infrastructure planning for promoting battery electric vehicles: an activity-based approach using multiday travel data. Transp Res Part C: Emerg Technol 38:44–55
6. Du J, Wang H, Ouyang M (2012a) Parameters optimization of PHEV based on cost-effectiveness from life cycle view in China. In: Proceedings of the FISITA 2012 world automotive congress, pp 697–704. FISITA 2012 World Automotive Congress, Beijing, China, 2012
7. Du J, Ouyang M, Wang H (2012b) Battery electric vehicle parameters design targeting to cost-benefit objective. In: Proceedings of vehicle power and propulsion conference (VPPC), 2012 IEEE, pp 1160–1164. 2012 I.E. Vehicle Power and Propulsion Conference, Seoul, Korea, 2012
8. Elgowainy A, Han J, Poch L, Wang M, Vyas A, Mahalik M, Rousseau A (2010) Well-to-wheels analysis of energy use and greenhouse gas emissions of plug-in hybrid electric vehicles, ANL/ESD/10-1. Argonne National Laboratory, Argonne
9. Elgowainy A, Zhou Y, Vyas AD et al (2012) Impacts of charging choices for plug-in hybrid electric vehicles in 2030 scenario. Transp Res Rec: J Transp Res Board 2287(1):9–17
10. Gonder J, Markel T, Thornton M et al (2007) Using global positioning system travel data to assess real-world energy use of plug-in hybrid electric vehicles. Transp Res Rec: J Transp Res Board 2017(1):26–32
11. Gong HM, Wang M, Wang HW (2013) New energy vehicles in China: policies, demonstration and progress. Mitig Adapt Strateg Glob Chang 18(2):207–228
12. Greene DL, Boudreaux PR, Dean DJ et al (2010) The importance of advancing technology to America’s energy goals. Energ Policy 38(8):3886–3890
13. Hao H, Wang HW, Yi R (2011a) Hybrid modeling of China’s vehicle ownership and projection through 2050. Energy 36(2):1351–1361
14. Hao H, Wang HW, Ouyang MG (2011b) Predictions of China’s passenger vehicle and commercial vehicle stocks. J Tsinghua Univ Sci Technol 51(6):868–872
15. Hao H, Wang HW, Ouyang MG (2011c) Comparison of policies on vehicle ownership and use between Beijing and Shanghai and their impacts on fuel consumption by passenger vehicles. Energ Policy 39:1016–1021
16. Hao H, Wang HW, Ouyang MG (2011d) Fuel conservation and GHG (greenhouse gas) emissions mitigation scenarios for China’s passenger vehicle fleet. Energy 36(11):6520–6528
17. Hao H, Wang HW, Ouyang MG (2012) Fuel consumption and life cycle GHG emissions by China’s on-road trucks: future trends through 2050 and evaluation of mitigation measures. Energ Policy 43:244–251
18. Hou Cong, Wang Hewu, Ouyang Minggao (2012) A comparison study on the evaluation methodologies of PHEV energy consumption between China and U.S. accepted by Automotive Engineering (in Chinese)
19. Hou Cong, Wang Hewu, Ouyang Minggao (2013) Survey of daily vehicle travel distance and impact factors in Beijing. In: Advances in Automotive Control, Vol. 7, Part 1, pp 35–40. 7th IFAC Symposium on Advances in Automotive Control, Tokyo, Japan, 2013. (DOI) 10.3182/20130904-4-JP-2042.00002
20. Huo H (2005) Study on links light-duty vehicle emissions based on traffic characteristics. Dissertation, Tsinghua University, Beijing, China
21. 2 emissions through 2050. Transp Res Rec: J Transp Res Board 2038:69–77
22. Huo H, Qiang Z, Kebin H, Zhiliang Y, Michael W (2012) Vehicle-use intensity in China: current status and future trend. Energ Policy 43:6–16
23. Karabasoglu O, Michalek J (2013) Influence of driving patterns on life cycle cost and emissions of hybrid and plug-in electric vehicle powertrains. Energ Policy 60:445–461
24. Lin Z, Dong J, Liu C et al. (2012) PHEV energy use estimation: validating the gamma distribution for representing the random daily driving distance. Transportation Research Board 2012 Annual Meeting. http://pubsindex.trb.org/view/2012/C/1129781 Washington, D.C., USA, 2012.
25. Michalek JJ, Chester M, Jaramillo P et al (2011) Valuation of plug-in vehicle life-cycle air emissions and oil displacement benefits. Proc Natl Acad Sci 108(40):16554–16558
26. MOST (Ministry of Science and Technology) (2013) (in Chinese) http://www.most.gov.cn/ztzl/kjzjbxsh/kjzjbxmt/201302/t20130204_99599.htm. Cited 18 February 2014.
27. Neubauer J, Aaron B, Wood E (2013) Sensitivity of plug-in hybrid electric vehicle economics to drive patterns, electric range, energy management, and charge strategies. J Power Sources 236(2013):357–364
28. NHTS (National Household Travel Survey) (2014) http://nhts.ornl.gov. Cited 18 February 2014.
29. NREL (National Renewable Energy Laboratory (2014) Transportation secure data center. http://www.nrel.gov/vehiclesandfuels/transportationdata. Cited 18 February 2014)
30. SAE (2009) Utility factor definitions for plug-in hybrid electric vehicles using 2001 U.S. DOT national household travel survey data, Hybrid Committee, J2841
31. SAE (Society of Automotive Engineers) (1999) Recommended practice for measuring the exhaust emissions and fuel economy of hybrid-electric vehicles, Hybrid Committee, J1711
32. Vilimek R, Keinath A, Schwalm M (2012) The MINI E field study—similarities and differences in international everyday EV driving. In: Stanton NA (ed) Advances in human aspects of road and rail transport, oca Raton, FL, pp 363–372
33. Wang HW, Ouyang MG (2007) Transition strategy of the transportation energy and powertrain in China. Energ Policy 35(4):2313–2319
34. Wang W, Xiang Q, Chang Y et al (2002) Analysis method of urban transport energy consumption and environmental Impact. Science Press, Beijing
35. 2 emissions through 2050. ANL/ESD/06-6. Argonne National Laboratory, Argonne, USA
36. Wang Y, Teter J, Sperling D (2011) China’s soaring vehicle population: even greater than forecasted? Energ Policy 39:3296–3306
37. Wang HW, Hao H, Ouyang MG (2013) Scenario analyses of China’s vehicle ownership and vehicle traffic services. In: sustainable automotive energy system in China, Springer Berlin, Heidelberg, pp 27–58
38. Wu Q, Nielsen AH, Østergaard J et al. (2010) Driving pattern analysis for electric vehicle (EV) grid integration study. In: Proceedings of innovative smart grid technologies conference Europe (ISGT Europe), 2010 I.E. PES. IEEE, pp 1–6. Gothenburg, Sweden, 2010.