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Investigating car users' attitudes to climate change using multiple correspondence analysis

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  • Ali, Fazilatulaili
  • Dissanayake, Dilum
  • Bell, Margaret
  • Farrow, Malcolm

Abstract

In recent years climate change and environmental issues have attracted worldwide attention and local, regional and national authorities, as well as policy makers, have accelerated their efforts to identify suitable emission reduction policies and measures. According to the UK Department for Transport, around a quarter of domestic carbon dioxide and other greenhouse gas emissions can be attributed to transport. Therefore, the UK Government has mandated reductions of 67% by 2050 over 2010 levels. This paper investigates car users' attitudes to and awareness of climate change to gain further understanding of how those attitudes relate to their travel behaviour. A comprehensive analysis of the British Social Attitude Survey (BSA) datasets of 2011 and 2014 was achieved by using a multi-faceted analytical approach which included Exploratory Factor Analysis (EFA), Multiple Correspondence Analysis (MCA), Hierarchical Cluster analysis (HCA) and Multinomial Logistic Regression (MLR). The dimension reduction process by means of the EFA has resulted in three main factors: “traffic awareness”, “perceptions and actions, and “environmentally sensitive”. The HCA and MCA resulted in seven clusters that were based on car users socio–demographic and travel behaviour variables. The outcomes from the EFA, MCA and HCA were analysed further using MLR methods to investigate respondents' perceptions in greater depth and to relate them to their travel behaviour. These were used as main variables in the MLR analysis. Although 81% of respondents agreed that human actions are partly responsible for climate change impact as per the initial descriptive analysis, the MLR analysis revealed that the group described as ‘middle-aged males and females in full time employment’ and ‘older-aged males in retirement’ in 2014 exhibited an increased likelihood of holding a positive attitude towards “perceptions and actions” regarding climate change than the similarly described cohort in 2011. Intervention mechanisms to encourage mode shift to sustainable modes would be more likely to achieve success if tailored to this group.

Suggested Citation

  • Ali, Fazilatulaili & Dissanayake, Dilum & Bell, Margaret & Farrow, Malcolm, 2018. "Investigating car users' attitudes to climate change using multiple correspondence analysis," Journal of Transport Geography, Elsevier, vol. 72(C), pages 237-247.
    • Handle: RePEc:eee:jotrge:v:72:y:2018:i:c:p:237-247
    DOI: 10.1016/j.jtrangeo.2018.09.007
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    2. Jaroslav Mazanec, 2022. "Corporate Volunteering as a Current Phenomenon in Corporate Social Responsibility to Support the Career Development and Professional Skills of Employees during the COVID-19 Pandemic: A Case Study of t," Sustainability, MDPI, vol. 14(7), pages 1-16, April.
    3. Jakučionytė-Skodienė, Miglė & Krikštolaitis, Ričardas & Liobikienė, Genovaitė, 2022. "The contribution of changes in climate-friendly behaviour, climate change concern and personal responsibility to household greenhouse gas emissions: Heating/cooling and transport activities in the Eur," Energy, Elsevier, vol. 246(C).
    4. Veronika Harantová & Alica Kalašová & Simona Skřivánek Kubíková & Jaroslav Mazanec & Radomíra Jordová, 2022. "The Impact of Mobility on Shopping Preferences during the COVID-19 Pandemic: The Evidence from the Slovak Republic," Mathematics, MDPI, vol. 10(9), pages 1-27, April.
    5. Assuntina Cembalo & Rosaria Lombardo & Eric J. Beh & Gianpaolo Romano & Michele Ferrucci & Francesca M. Pisano, 2021. "Assessment of Climate Change in Italy by Variants of Ordered Correspondence Analysis," Stats, MDPI, vol. 4(1), pages 1-16, March.
    6. Song, Yan & Zhang, Lu & Zhang, Ming, 2022. "Research on the impact of public climate policy cognition on low-carbon travel based on SOR theory—Evidence from China," Energy, Elsevier, vol. 261(PA).

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