The influence of household heterogeneity factors on the green travel behavior of urban residents in the East China region

Sustainability (Switzerland)

Volumn 9, Issue 2, 2017, Pages

  Yang, Ranran ^a   Long, Ruyin ^b   Bai, Yu ^a   Li, Lanlan ^a  

^a HEFEI UNIVERSITY OF TECHNOLOGY   (China)

^b CHINA UNIVERSITY OF MINING AND TECHNOLOGY   (China)

Author keywords

Green travel behavior; Household heterogeneity factors; Urban residents

Indexed keywords

EDUCATION; HETEROGENEITY; HOMEOWNERSHIP; LOW INCOME POPULATION; QUESTIONNAIRE SURVEY; RENT SEEKING; TRAVEL BEHAVIOR; URBAN AREA;

CHINA;

EID: 85013471834     PISSN: None     EISSN: 20711050     Source Type: Journal    
DOI: 10.3390/su9020237     Document Type: Article

References (58)

1. Niu, W.Y. Chinese New-Type Urbanization Report 2012; Science Press: Beijing, China, 2012. (In Chinese)
2. ChinaIRN.com. DiDi Published Chinese Urban Transportation Report of 2016 First Half Year. 2016. Available online: http://www.chinairn.com/news/20160714/16425045.shtml (accessed on 14 July 2016). (In Chinese)
3. Li, X.; Zhang, G.H.; Huang, K.P. The green way to the development of Chinese urban transportation. Urban Plan. Forum 2008, 6, 51-56. (In Chinese)
4. People.com. What Is Green Travel? 2010. Available online: http://env.people.com.cn/GB/178688/180057/10798248.html (accessed on 19 January 2010). (In Chinese)
5. 2 Emissions from Fuel Combustion Highlights. 2015. Available online: http://www.iea.org/publications/freepublications/publication/CO2-emissions-fromfuel-combustion-highlights-2015.html (accessed on 24 March 2016).
6. Wang, Z.H.; Liu, W. The impacts of individual behavior on household daily travel carbon emissions in Beijing, China. Energy Procedia 2014, 61, 1318-1322.
7. SOHU.com. Motor Vehicle Exhaust Emission Is Exceeding, and Is Hazardous for Human Health. 2015. Available online: http://mt.sohu.com/20151016/n423438354.shtml (accessed on 16 October 2015).
8. China State Statistics Bureau. China Statistical Yearbook. Available online: http://www.stats.gov.cn/tjsj/ndsj/(accessed on 24 January 2017). (In Chinese)
9. China Big Data Industrial Observation. AMAP Published Analysis Reports of Urban Traffic in Major Chinese Cities of 2015. 2016. Available online: http://www.cbdio.com/BigData/2016-01/21/content_4524265.htm (accessed on 21 January 2016). (In Chinese)
10. 2.5 Spatial and Temporal Distribution. 2015. Available online: http://news.mydrivers.com/1/451/451740.htm (accessed on 15 October 2015). (In Chinese)
11. Hines, J.M.; Hungerford, H.R.; Tomera, A.N. Analysis and synthesis of research on responsible environmental behavior: A meta-analysis. J. Environ. Educ. 1986, 18, 1-8.
12. Hsu, S.J.; Roth, R.E. An assessment of environmental literacy and analysis of predictors of responsible environmental behavior held by secondary teachers in the Hualien area of Taiwan. Environ. Educ. Res. 1998, 4, 229-249.
13. Sia, A.P.; Hungerford, H.R.; Tomera, A.N. Selected predictors of responsible environmental behavior: An analysis. J. Environ. Educ. 1986, 17, 31-40.
14. Smith-Sebasto, N.J.; D'Costa, A. Designing a likert-type scale to predict environmentally responsible behavior in undergraduate students: A multistep process. J. Environ. Educ. 1995, 27, 14-21.
15. Stern, P.C. Toward a coherent theory of environmentally significant behavior. J. Soc. Issues 2000, 56, 407-424.
16. Gatersleben, B.; Steg, L.; Vlek, C. Measurement and determinants of environmentally significant consumer behavior. Environ. Behav. 2002, 34, 335-362.
17. Brounen, D.; Kok, N.; Quigley, J.M. Energy literacy, awareness, and conservation behavior of residential households. Energy Econ. 2013, 38, 42-50.
18. Han, Q.; Nieuwenhijsen, I.; Vries, B.; Blokhuis, E.; Schaefer, W. Intervention strategy to stimulate energy-saving behavior of local residents. Energy Policy 2013, 52, 706-715.
19. Huang, S.S.; Song, R.; Tao, Y. Behavior of urban residents travel mode choosing and influencing factors-Taking Beijing as an example. Commun. Stand. 2008, 9, 24-128. (In Chinese)
20. Xu, F.; Xiao, Q.; Xu, G.H. Factor analysis of urban residents' green travel modes choice based on SPSS. China Collectiv. Econ. 2011, 7, 104-105. (In Chinese)
21. Golob, T.F.; Hensher, D.A. Greenhouse gas emissions and Australian commuters' attitudes and behaviour concerning abatement policies and personal involvement. Transp. Res. D Transp. Environ. 1998, 3, 1-18.
22. Prillwitz, J.; Barr, S. Moving towards sustainability? Mobility styles, attitudes and individual travel behavior. J. Transp. Geogr. 2011, 19, 1590-1600.
23. Simma, A.; Axhausen, K.W. Structures of commitment in mode use: A comparison of Switzerland, Germany and Great Britain. Transp. Policy 2001, 8, 279-288.
24. Polk, M. The influence of gender on daily car use and on willingness to reduce car use in Sweden. J. Transp. Geogr. 2004, 12, 185-195.
25. Plaut, P.O. Non-motorized commuting in the US. Transp. Res. D Transp. Environ. 2005, 10, 347-356.
26. Klineberg, S.L.; McKeever, M.; Rothenbach, B. Demographic predictors of environmental concern: It does make a difference how it's measured. Soc. Sci. Q. 1998, 79, 734-753.
27. Singh, N. Exploring socially responsible behavior of Indian consumers: An empirical investigation. Soc. Responsib. J. 2009, 5, 200-211.
28. Liu, Q. Sustainable Consumption Which Support the Development of Low-Carbon Economy; Economic Science Press: Beijing, China, 2010. (In Chinese)
29. Wang, J.M. Empirical study on urban residents' resource-efficient consumption behavior. Economist 2007, 1, 38-44. (In Chinese)
30. Ma, J.H.; Liao, N. Investigation of urban residents' low-carbon travel in Xi'an. New West 2015, 16, 19. (In Chinese)
31. Böhler, S.; Grischkat, S.; Haustein, S.; Hunecke, M. Encouraging environmentally sustainable holiday travel. Transp. Res. A 2006, 40, 652-670.
32. Jackson, D.T. Household energy consumption in the UK: A highly geographically and socio-economically disaggregated model. Energy Policy 2008, 36, 3167-3182.
33. Franzen, A.; Meyer, R. Environmental attitudes in cross-national perspective: A multilevel analysis of the ISSP 1993 and 2000. Eur. Sociol. Rev. 2010, 26, 219-234.
34. Yue, T. Study on Influencing Factors and Guiding Policies of Urban Residents' Energy-Saving Behavior. Ph. D. Thesis, China University of Mining and Technology, Xuzhou, China, 2014. (In Chinese)
35. Liu, J.X.; Yan, H.W.; Liu, G.Y. Investigation of community residents' green consuming behavior and related message propagation. J. Taiwan Health Educ. 2000, 13, 189-212.
36. Black, J.S.; Sterm, P.; Elworth, J.T. Personal and contextual influences on household energy adaptions. J. Appl. Psychol. 1985, 70, 3-21.
37. Painter, J.; Semenik, R.; Belk, R. Is there a generalized conservation ethic? A comparison of the determinants of gasoline and home heating energy conservation. J. Econ. Psychol. 1983, 3, 317-331.
38. Aydinalp, M.; Ugursal, V.I.; Fung, A.S. Modeling of the appliance, lighting, and space-cooling energy consumptions in the residential sector using neural networks. Appl. Energy 2002, 71, 87-110.
39. Susilo, Y.O.;Williams, K.; Lindsay, M.; Dair, C. The influence of individuals' environmental attitudes and urban design features on their travel patterns in sustainable neighborhoods in the UK. Transp. Res. D Transp. Environ. 2012, 17, 190-200.
40. Vining, J.; Ebreo, A. What makes a recycler? A comparison of recyclers and non-recyclers. Environ. Behav. 1990, 22, 55-73.
41. Schultz, P.W.; Oskamp, S.; Mainieri, T. Who recycles and when: A review of personal and situational factors. J. Environ. Psychol. 1995, 15, 105-121.
42. Marcinkowski, T.J. An Analysis of Correlates and Predictors of Responsible Environmental Behavior. Ph. D. Thesis, Southern Lllionois University, Carbondale, IL, USA, 1988.
43. Scheiner, J. Does individualisation of travel behaviour exist? Determination of travel participation and mode choice in West Germany, 1976-2002. Die Erde 2006, 137, 355-377.
44. Hjorthol, R. Daily mobility of men and women-A barometer of gender equality? In Gendered Mobilities; Uteng, T.P., Cresswell, T., Eds.; Ashgate: Aldershot, UK, 2008; pp. 193-210.
45. Samdahl, D.M.; Robertson, R. Social determinants of environmental concern: Specification and test of the model. Environ. Behav. 1989, 21, 57-81.
46. Curtis, F.; Simpson-Housley, P.; Drever, S. Household energy conservation. Energy Policy 1984, 12, 452-456.
47. Wang, J.M.;Wang, J.H. The influencing elements of the public low-carbon consumption, and the governments' regulatory policies. Manag. World 2011, 4, 58-68. (In Chinese)
48. Sun, Y. Study on the influence of household heterogeneity factors on the energy use behavior of urban residents. J. Beijing Inst. Technol. (Soc. Sci. Ed.) 2013, 15, 23-28. (In Chinese)
49. Gao, X.L.; Hou, C.Z. Review of family functional theories. Sci. Soc. Psychol. 2008, 23, 29-33. (In Chinese)
50. Qu, Y.; Pan, J.Y. Empirical analysis of influencing factors of China urban residents' green travel behavior. Liaoning Urban Rural Environ. Sci. Technol. 2014, 6, 62-66. (In Chinese)
51. Pan, J.Y. Influencing Factors of Residents' Green Travel Behavior in Large-Medium Cities. Master's Thesis, Dalian University of Technology, Dalian, China, 2014. (In Chinese)
52. Wang, Y.Q. Analysis of Crows Characteristics and Behavior Change Countermeasure of Urban Residents' Green Travel. Master's Thesis, Dalian University of Technology, Dalian, China, 2014. (In Chinese)
53. Yang, R.R.; Long, R.Y. Affecting factors of theoretical model in urban residents' green travel behavior: Based on grounded theory. Wuhan Univ. J. (Philos. Soc. Sci.) 2014, 67, 13-19. (In Chinese)
54. Green Travel. Available online: http://www.china.com.cn/chinese/zhuanti/lscx/1220797.htm (accessed on 24 January 2017).
55. Green Commuting. Available online: http://www.cleanair.net.cn/(accessed on 24 January 2017).
56. Sun, Y. Study on Residents' Environmental Behavior and Its Influencing Factors. Ph. D. Thesis, Dalian University of Technology, Dalian, China, 2006. (In Chinese)
57. Schahn, J.; Holzer, E. Studies of individual environmental concern: The role of knowledge, Gender, and background variables. Environ. Behav. 1990, 22, 767-786.
58. Yang, R.R.; Long, R.Y. Analysis of the influencing factors of the public willingness to participate in public bicycle projects and intervention strategies-A case study of Jiangsu Province, China. Sustainability 2016, 8, 349