Psychological, sociodemographic, and infrastructural factors as determinants of ecological impact caused by mobility behavior

Hunecke, Marcel; Haustein, Sonja; Grischkat, Sylvie; Böhler, Susanne

doi:10.1016/j.jenvp.2007.08.001

Cited by 153 publications

(119 citation statements)

References 19 publications

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“…It is thus recommended that future studies also include the frequency of use for different modes as well as the relevant motives and attitudes in relation to all transport modes. Here, affective and symbolic motives should be considered in addition to the included instrumental motives, as they have been shown to be relevant determinants of mode choice (e.g., Anable & Gatersleben, 2005;Hunecke et al, 2007;Steg, 2005) and are also a part of the predominant mobility culture.…”

Section: Limitations and Future Research Perspectivementioning

confidence: 99%

European mobility cultures: A survey-based cluster analysis across 28 European countries

Haustein

Nielsen

2016

Journal of Transport Geography

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More targeted European policies promoting green travel patterns require better knowledge on differing mobility cultures across European regions. As a basis for this, we clustered the EU population into eight mobility styles based on Eurobarometer data. The mobility styles -including, for example, "green cyclists" and "convenience drivers" -differed not only in their travel-related variables but also in their socio-economic background, IT-affinity, and life satisfaction, with green cyclist showing the highest life satisfaction and two car-oriented styles having the highest socioeconomic resources. In a second step, the 28 EU member countries were clustered into six country • Based on Eurobarometer data, we clustered the EU population into eight mobility styles.• Mobility styles differed in travel-related choices, socio-economics, IT-affinity, and life satisfaction.• Based on their representation of mobility styles, EU countries were clustered into six country clusters. 2• The country clusters form identifiable sub-regions or spatial clusters within the EU.• Country clusters can be used for monitoring and targeting European transport policies.3

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Section: Limitations and Future Research Perspectivementioning

confidence: 99%

European mobility cultures: A survey-based cluster analysis across 28 European countries

Haustein

Nielsen

2016

Journal of Transport Geography

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“…Hunecke, Haustein, Grischkat and Böhler [114] used a hierarchical regression analysis to assess the effects of psychological variables when socio-demographic and infrastructures are controlled. They concluded that, in terms of ecological impact, the measured psychological variables were responsible for an additional 14% of explained variance (reaching 60% of total variance); this clearly shows that our understanding of the effect of psychological factors on travel behaviour is very low and we probably still miss key factors that could improve our understanding.…”

Section: Discussionmentioning

confidence: 99%

Engaging in Pro-Environment Travel Behaviour Research from a Psycho-Social Perspective: A Review of Behavioural Variables and Theories

Pronello

Gaborieau

2018

Sustainability

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This paper aims to review variables and behavioural theories originating from social and environmental psychology as applied to transport research, to better understand decision-making mechanisms, information processing and modal choice. The first section provides an overview of the main psycho-social variables which explain behaviour and, notably, pro-environment behaviour. The analysis shows the relations among variables, highlighting some potential cause-effect mechanism or, at least, the influence that such variables can have on behaviour. Furthermore, the strengths and weaknesses of using psycho-social variables to predict travel behaviour are discussed. Such analysis feeds the section related to the behavioural theories. These are reviewed with a focus on potential application to transport sector, showing the would-be added value of introducing a socio-psychological approach in the current vision, focused on stochastic models based on maximisation of personal utility. To this end, attention is paid to the data collection and analysis, basic for any models and even more challenging to collect when they deal with personal characteristics of individuals. Finally, the concept of attitude and intention is discussed, opening the doors between disciplines to overcome the attitude-behaviour gap.

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“…From an impact perspective mobility behavior was analyzed in two studies by Poortinga, Steg, and Vlek (2004) and Hunecke, Haustein, Grischkat, and Böhler (2007), which showed differing results. Poortinga et al (2004) demonstrated that the impact of environmental behavior is more strongly related to sociodemographic and household variables than to values and environmental beliefs, although these results must be interpreted considering the limitation that behavior-specific attitudes were not included in the analysis.…”

Section: Attitudinal Variables As Determinantsmentioning

confidence: 99%

Attitude-Based Target Groups to Reduce the Ecological Impact of Daily Mobility Behavior

Hunecke

Haustein

Böhler

et al. 2008

Environment and Behavior

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181

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This study analyzes the usefulness of an attitude-based target group approach in predicting the ecological impact of mobility behavior. Based on a survey of 1,991 inhabitants of three large German cities, constructs derived from an expanded version of the Theory of Planned Behavior were used to identify distinct attitude-based target groups. Five groups were identified, each representing a unique combination of attitudes, norms, and values. The groups differed significantly from each other with regard to travel-mode choice, distances traveled, and ecological impact. In comparison with segmentations based on sociodemographic and geographic factors, the predictive power of the attitude-based approach was higher, especially with regard to the use of private motorized modes of transportation. The opportunities and limits of reducing the ecological impact of mobility behavior on the basis of an attitudebased target group approach are discussed. Keywords: transportation; conservation-ecological-behavior; attitudes; ecological assessment; target groupsT he emissions resulting from mobility behavior decrease the quality of life in communities and are important driving forces of climate change. Although noise, particles and other pollutants are relevant at a local and

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Psychological, sociodemographic, and infrastructural factors as determinants of ecological impact caused by mobility behavior

Cited by 153 publications

References 19 publications

European mobility cultures: A survey-based cluster analysis across 28 European countries

European mobility cultures: A survey-based cluster analysis across 28 European countries

Engaging in Pro-Environment Travel Behaviour Research from a Psycho-Social Perspective: A Review of Behavioural Variables and Theories

Attitude-Based Target Groups to Reduce the Ecological Impact of Daily Mobility Behavior

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