A spatial analysis of the ownership of alternative fuel and hybrid vehicles

被引:22
|
作者
Liu, Jun [1 ]
Khattak, Asad J. [2 ]
Li, Xiaobing [3 ]
Fu, Xing [1 ]
机构
[1] Univ Alabama, Dept Civil Construct & Environm Engn, Tuscaloosa, AL 35487 USA
[2] Univ Tennessee, Dept Civil & Environm Engn, Knoxville, TN 37996 USA
[3] Univ Alabama, Alabama Transportat Inst, Tuscaloosa, AL 35487 USA
关键词
2017 NHTS data; Spatial modeling; Alternative fuel and hybrid vehicle; Vehicle ownership; GEOGRAPHICALLY WEIGHTED REGRESSION; MODELING CAR OWNERSHIP; AUTOMOBILE OWNERSHIP; ELECTRIC VEHICLES; CHOICE; PREFERENCES; ADOPTION; INCENTIVES; DECISIONS; CRASHES;
D O I
10.1016/j.trd.2019.10.018
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Understanding the ownership of alternative fuel vehicles (AFVs) and advanced powertrain vehicle technologies is critical for transitioning to low Carbon. This study explores the choices made by early adopters of AFVs. To identify the ownership behavior of early adopters and their attributes, this study uses the 2017 National Household Travel Survey (NHTS) data. This study contributes by providing new evidence about spatial heterogeneity in consumer preferences for AFVs in space using the most recent travel behavior data. The Geographically Weighted Regression (GWR) is used to explore the spatially varying correlates of AFV ownership. Results reveal significant spatial variations in the associations of AFV ownership and key factors across the United States. For example, high-income households in Southeastern or Northwestern states are more likely to own an AFV. Seniors are with a greater likelihood of owning an AFV relative to young adults, especially in Northeastern and Northwestern states. The effectiveness of incentives is uneven across different states. The incentives are more effective in Florida than in other parts of the country. The number of alternative fuel stations is positively related to AFV ownership. Other spatially varying correlates are related to household size, education, daily trip distance, and online shopping behavior. The spatial modeling applied in this study is a rigorous analytic technique that researchers and practitioners can use to identify local correlates of AFV ownership. The intended outcome of the study is to provide information about consumer preferences regarding owning AFVs, which can potentially impact our transition to a low Carbon economy.
引用
收藏
页码:106 / 119
页数:14
相关论文
共 50 条
  • [41] HYBRID CHOICE MODEL FOR ALTERNATIVE FUELLED VEHICLES
    Soto, Jose J.
    Cantillo, Victor
    Arellana, Julian
    INTERCIENCIA, 2014, 39 (09) : 666 - 672
  • [42] Portfolio analysis of alternative fuel vehicles considering technological advancement, energy security and policy
    Romejko, Kamila
    Nakano, Masaru
    JOURNAL OF CLEANER PRODUCTION, 2017, 142 : 39 - 49
  • [43] Consumer preferences towards alternative fuel vehicles. Results from the conjoint analysis
    Kowalska-Pyzalska, Anna
    Michalski, Rafal
    Kott, Marek
    Skowronska-Szmer, Anna
    Kott, Joanna
    RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2022, 155
  • [44] Materials for fuel cells and batteries in hybrid vehicles
    Lopes, Pietro Papa
    Strmcnik, Dusan
    Markovic, Nenad
    Stamenkovic, Vojislav
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2019, 258
  • [45] Modeling and simulation of fuel cell hybrid vehicles
    Yun, H.
    Zhao, Y.
    Wang, J.
    INTERNATIONAL JOURNAL OF AUTOMOTIVE TECHNOLOGY, 2010, 11 (02) : 223 - 228
  • [46] Develop of a fuel consumption model for hybrid vehicles
    Zhang, Yan-Tao
    Claudel, Christian G.
    Hu, Mao-Bin
    Yu, Yu-Hang
    Shi, Cong-Ling
    ENERGY CONVERSION AND MANAGEMENT, 2020, 207
  • [47] Optimal Design of Hybrid Fuel Cell Vehicles
    Han, Jeongwoo
    Kokkolaras, Michael
    Papalambros, Panas Y.
    JOURNAL OF FUEL CELL SCIENCE AND TECHNOLOGY, 2008, 5 (04):
  • [48] Fuel reduction of parallel hybrid electric vehicles
    Koot, M
    Kessels, JTBA
    de Jager, B
    2005 IEEE Vehicle Power and Propulsion Conference (VPPC), 2005, : 26 - 31
  • [49] Modeling and simulation of fuel cell hybrid vehicles
    H. Yun
    Y. Zhao
    J. Wang
    International Journal of Automotive Technology, 2010, 11 : 223 - 228
  • [50] Fuel efficiency research shifts to hybrid vehicles
    Gwynne, P
    R&D MAGAZINE, 1998, 40 (04): : 26 - +