Greenhouse gas emissions and Australian commuters' attitudes and behavior concerning abatement policies and personal involvement

Golob, Hensher, 1998, in Transportation Research Part D: Transport and Environment

doi:10.1016/S1361-9209(97)00006-0
Location Australia
Population General
Sample size 963
Factor analysis type confirmatory factor analysis, nan rotation
Stepwise regression no
Removal of insignificant variables no
Reviewed by LCM

Abstract

Public interest in the environment is building as we gain information about the deterioration in air quality and the potential threat of global warming. This research addresses the dichotomy between an individual's behavior and his or her attitudinal support for policies which are promoted as benefiting the environment. We study how responses to attitudinal survey questions are interrelated, and how such responses are related to actual travel behavior using data from a survey undertaken in six capital cities in Australia in 1994. A measurement model is used to establish a set of latent attitudinal factors, and these factors are related in a structural equations model to a set of behavioral variables representing commuters' mode choice and choice of compressed work schedules, conditioned by a set of exogenous variables. Individuals with a strong environmental commitment are more likely to be female, from smaller households with fewer cars, be either under 30 years old or over 50 years old, have high household income and be highly educated. However, women are likely to view the car as a status symbol, and this attitude is conducive to choice of solo driving. Commuters who use public transport are more likely to support policies aimed at reducing greenhouse gas emissions. Switching commuters away from solo driving can have effects that transcend the benefit obtained from reduced vehicle use for the journey to work alone. © 1998 Elsevier Science Ltd. All rights reserved.

Factors

Variable Pattern loading
Working compressed work hours (Lifestyle) 1

Models

Source variable Target variable Effect p-value Effect type
GGE is a serious threat Am willing to reduce the number of kms I drive 0.45 0.0 direct_effect
GGE abatement is possible Working compressed work hours -0.34 0.066 direct_effect
Car is a status symbol Traffic congestion is not as bad as made out to be 0.37 0.002 direct_effect
Traffic congestion is not as bad as made out to be Commute mode choice = solo-driving 0.53 0.0 direct_effect
Am willing to reduce the number of kms I drive GGE abatement is possible 0.35 0.0 direct_effect
Am willing to reduce the number of kms I drive Car is a status symbol -0.72 0.003 direct_effect
Am willing to reduce the number of kms I drive Working compressed work hours 0.4 0.041 direct_effect
Commute mode choice = solo-driving Am willing to reduce the number of kms I drive -0.12 0.0 direct_effect
Commute mode choice = solo-driving Working compressed work hours 0.4 0.03 direct_effect
Commute mode choice = public transport Am willing to reduce the number of kms I drive 0.07 0.0 direct_effect
Commute mode choice = public transport Working compressed work hours 0.05 0.0 direct_effect
Gender = female GGE is a serious threat 2.04 0.0 direct_effect
Gender = female GGE abatement is possible 0.655 0.0 direct_effect
Gender = female Car is a status symbol 1.04 0.0 direct_effect
Gender = female Traffic congestion is not as bad as made out to be 0.412 0.0 direct_effect
Gender = female Commute mode choice = public transport 0.317 0.0 direct_effect
Household size Working compressed work hours 0.028 0.014 direct_effect
Household size Commute mode choice = solo-driving -0.161 0.0 direct_effect
Household size Commute mode choice = public transport 0.059 0.0 direct_effect
No. of vehicles in household Working compressed work hours 0.045 0.001 direct_effect
No. of vehicles in household Commute mode choice = solo-driving 0.471 0.0 direct_effect
No. of vehicles in household Commute mode choice = public transport -0.511 0.0 direct_effect
Age < 30 years old GGE abatement is possible 0.059 0.003 direct_effect
Age < 30 years old Car is a status symbol 0.08 0.03 direct_effect
Age < 30 years old Working compressed work hours 0.076 0.0 direct_effect
Age < 30 years old Commute mode choice = solo-driving -0.127 0.0 direct_effect
Age < 30 years old Commute mode choice = public transport 0.066 0.0 direct_effect
Age >/= 50 years old Traffic congestion is not as bad as made out to be 0.115 0.0 direct_effect
Age >/= 50 years old Am willing to reduce the number of kms I drive 0.049 0.008 direct_effect
Age >/= 50 years old Working compressed work hours -0.037 0.001 direct_effect
Age >/= 50 years old Commute mode choice = solo-driving 0.039 0.0 direct_effect
Age >/= 50 years old Commute mode choice = public transport 0.039 0.0 direct_effect
Household income $20-30,000 Working compressed work hours 0.106 0.0 direct_effect
Household income $20-30,000 Commute mode choice = solo-driving 0.042 0.004 direct_effect
Household income $20-30,000 Commute mode choice = public transport -0.135 0.0 direct_effect
Household income $60-80,000 Car is a status symbol 0.07 0.024 direct_effect
Household income $60-80,000 Commute mode choice = solo-driving -0.063 0.0 direct_effect
Household income > $80,000 Car is a status symbol 0.085 0.003 direct_effect
Household income > $80,000 Commute mode choice = solo-driving -0.057 0.0 direct_effect
Household income > $80,000 Commute mode choice = public transport 0.038 0.0 direct_effect
Education up to secondary school Commute mode choice = solo-driving -0.053 0.001 direct_effect
Education up to secondary school Commute mode choice = public transport 0.088 0.0 direct_effect
Education university GGE is a serious threat -0.367 0.0 direct_effect
Education university GGE abatement is possible -0.132 0.0 direct_effect
Education university Car is a status symbol -0.351 0.0 direct_effect
Education university Traffic congestion is not as bad as made out to be -0.119 0.001 direct_effect
Education university Working compressed work hours -0.066 0.0 direct_effect
Education university Commute mode choice = public transport -0.081 0.0 direct_effect
Location: Sydney Metropolitan area Am willing to reduce the number of kms I drive -0.063 0.003 direct_effect
Location: Sydney Metropolitan area Commute mode choice = public transport 0.089 0.0 direct_effect
Location: Melbourne area Working compressed work hours -0.072 0.0 direct_effect
Location: Melbourne area Commute mode choice = solo-driving 0.095 0.0 direct_effect
Adelaide, Perth, or Canberra areas Traffic congestion is not as bad as made out to be 0.174 0.0 direct_effect
Adelaide, Perth, or Canberra areas Working compressed work hours -0.119 0.0 direct_effect
Adelaide, Perth, or Canberra areas Commute mode choice = public transport -0.024 0.029 direct_effect

The Attitudes and Travel Database is produced with support from the Center for Teaching Old Models New Tricks at Arizona State University, a University Transportation Center sponsored by the US Department of Transportation through Grant No. 69A3551747116.

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