Exploring the motivation-behavior gap in urban residents' green travel behavior: A theoretical and empirical study

被引:90
|
作者
Geng, Jichao [1 ]
Long, Ruyin [1 ]
Chen, Hong [1 ]
Li, Wenbo [1 ]
机构
[1] China Univ Min & Technol, Sch Management, Xuzhou 221116, Jiangsu, Peoples R China
关键词
Urban resident; Travel behavior; Motivation; Motivation-behavior gap; Exploratory factor analysis; Multinomial logistic regression; MODE CHOICE; CAR USE; PSYCHOLOGICAL-FACTORS; PLANNED BEHAVIOR; GOAL FRAMES; TRANSPORT; HABIT; ATTITUDES; CONTEXT; INTERVENTIONS;
D O I
10.1016/j.resconrec.2017.06.025
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The inconsistency between motivation and environmental behavior has been a critical issue troubling many researchers. From the two-dimensional perspectives of motivation and behavior, this study proposes a theoretical model with three colors (four types) of travel behavior: green, red, forced grey, and susceptible grey travel behavior. Based on 1244 questionnaires, the multinomial logistic regression was used to evaluate the effects of different types of travel behaviors in terms of motivations, government measures, and demographic characteristics. The results indicate that the green environmental motivation is a necessary but not sufficient condition for ensuring stable green travel behavior. These motives of economics, convenience, and comfort would adjust, disturb, or even change residents' travel behaviors, resulting in the motivation-behavior gap. The theoretical model is reasonable and effective for distinguishing urban residents' multiple motivations and explaining the motivation-behavior gap. In addition, the effects of gender, age, income, vehicle ownership, travel distance, and government measures show significant differences among different types of travel behavior. This study provides some.countermeasure proposals targeted to specific colors of travel behavior to modify the motivation-kehavior gap and to encourage urban residents to travel in a green way.
引用
收藏
页码:282 / 292
页数:11
相关论文
共 50 条
  • [21] AN EMPIRICAL-STUDY OF TRAVEL TIME VARIABILITY AND TRAVEL CHOICE BEHAVIOR
    JACKSON, WB
    JUCKER, JV
    [J]. TRANSPORTATION SCIENCE, 1982, 16 (04) : 460 - 475
  • [22] The Impact of Gamification Motivation on Green Consumption Behavior-An Empirical Study Based on Ant Forest
    Sun, Yongbo
    Xing, Jiayuan
    [J]. SUSTAINABILITY, 2023, 15 (01)
  • [23] An empirical study on influencing factors of residents' environmental behavior
    Sun Yan
    Wu Chun-you
    [J]. Proceedings of the 2006 International Conference on Management Science & Engineering (13th), Vols 1-3, 2006, : 2197 - 2202
  • [24] Individual Income Level Inference Method Based on Travel Behavior of Urban Residents
    Li Q.
    Liu Y.
    Gong S.
    Zhou S.
    Zhuo L.
    Tao H.
    Luan X.
    [J]. Wuhan Daxue Xuebao (Xinxi Kexue Ban)/Geomatics and Information Science of Wuhan University, 2019, 44 (10): : 1575 - 1580
  • [25] An Empirical Analysis of the Influence of Urban Form on Travel Behavior in Different Urban Neighborhoods of Shiraz
    Abbasi, Heidar
    Hajipour, Khalil
    [J]. BAGH-E NAZAR, 2014, 11 (29): : 51 - 60
  • [26] COLLECTIVE BEHAVIOR - THEORETICAL AND EMPIRICAL-STUDY
    MCPHAIL, C
    MILLER, D
    [J]. GRUPPENDYNAMIK FORSCHUNG UND PRAXIS, 1976, 7 (04): : 264 - 283
  • [27] Impact of the consciousness factor on the green travel behavior of urban residents: An analysis based on interaction and regulating effects in Chinese cultural context
    Yang, Ranran
    Li, Lanlan
    Zhu, Junhong
    [J]. JOURNAL OF CLEANER PRODUCTION, 2020, 274
  • [28] An Empirical Study of Sustainable Consumption Behavior Among Residents in Changsha
    Hu Biling
    Dong Xuebing
    Yang Zhi
    [J]. MARKETING SCIENCE INNOVATIONS AND ECONOMIC DEVELOPMENT, 2010, : 574 - 579
  • [29] Effects of the COVID-19 pandemic on urban residents' consumption behavior of forest food-an empirical study of 6,946 urban residents
    Liu, Shiyu
    He, Dan
    Chen, Ke
    [J]. FRONTIERS IN SUSTAINABLE FOOD SYSTEMS, 2023, 7
  • [30] Holiday travel behavior analysis and empirical study with Integrated Travel Reservation Information usage
    Han, Yan
    Zhang, Tiantian
    Wang, Meng
    [J]. TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE, 2020, 134 : 130 - 151