| 11. |
- Kim, Junghwa, et al.
(author)
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The influence of personality on acceptability of sustainable transport policies
- 2014
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In: Transportation. - : Springer London. - 0049-4488 .- 1572-9435. ; 41:4, s. 855-872
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Journal article (peer-reviewed)abstract
- Previous research has shown that fairness, infringement on freedom, and perceived effectiveness are determinants of transport pricing acceptability. In the present study we investigate determinants of acceptability of environmental (carbon) taxation for which trust in government and environmental concern are additional determinants. Carbon taxation is an extension of fuel taxes and may thus be viewed as transport pricing. Our main focus is on the role played by personality traits. Structural equation modeling reveals that acceptability is related to the personality traits extraversion, agreeableness, and conscientiousness. Extraverted individuals have higher levels of trust in government which leads to higher acceptability. Also correlations between agreeableness and conscientiousness as well as environmental problem awareness and personal norm are observed. We discuss strategies for effective marketing of transportation policies considering how acceptability is related to personality traits.
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| 12. |
- Köhler, Jana, et al.
(author)
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Does climate change media reporting lead to action against climate change?
- 2021
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In: International Conference of Environmental Psychology 2021, At: Siracuse.
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Conference paper (other academic/artistic)abstract
- One-time indirect exposure to climate change consequences does not evoke climate anxiety or increased intentions to act, but increased motivated reasoning for people with low prior worry.
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| 13. |
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| 14. |
- Martins Silva Ramos, Érika, 1991, et al.
(author)
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An empirical investigation of attitudes towards daily commuting transportation: the impacts of travel satisfaction, driving habits and social desirability.
- 2018
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In: The 29th International Congress of Applied Psychology, June 26-30, Montréal, Canada.
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Conference paper (other academic/artistic)abstract
- Background/Rational Every day people decide how to travel to their out-of-home activities. What is important for them when choosing the mode of transportation? Are those things predictors of attitudes towards modes of transportation along with driving habits and satisfaction with daily travel? Does being more or less satisfied affect people’s attitudes? Method A survey was mailed to a sample of 3,000 Swedish residents in rural, semi-rural and urban areas. The questionnaire consisted of four sections: driving habits, satisfaction, important aspects when choosing mode of daily commuting and socio-demographics measurements. Results Factor analysis was conducted regarding “satisfaction with daily commuting”, “important aspects for mode choice of commuting” and “driving habits” (KMO = .74; .76; 79, respectively). The retained factors were used in multiple regressions analyses as predictors of attitudes towards car, public transport and bike (R2 = .32; .11; .16, respectively). Conclusions “Driving habits” was the main predictor for attitudes towards car while “socially desirable aspects” was the most important factor to predict attitudes towards public transport and bike. Living in big cities negatively affected attitudes toward car and satisfaction with daily commuting was a minor predictor for all modes of transportation. Action/Impact Attitudes towards modes of commuting are predicted by people’s habits and what they value as important when commuting. Knowing what they value when choosing modes of transportation gives support to implement accurate and effective interventions, policies and new services that promote sustainability in transportation.
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| 17. |
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| 18. |
- Martins Silva Ramos, Érika, 1991, et al.
(author)
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Car Sharing in Sweden: Perceptions and acceptance of current users and potential users.
- 2018
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In: The National Conference in Transport Research, Gothenburg, Sweden..
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Conference paper (other academic/artistic)abstract
- Overview and research questions Carsharing has in a near future the potential to contribute to be a truly disruptive shared mobility, going beyond the boundaries of services niches (Sprei, 2017). However, even with the increase of the carsharing fleet around urban and metropolitan areas, carsharing operators are still facing challenges in terms of regulation and profitability (de Luca & Di Pace, 2015). Despite the fixed costs of the service, the misunderstandings of consumer’s behaviour have compromised the estimation of revenues. Thus, there is a demand for empirical investigation of sociodemographic and behavioural variables to predict individual choices regarding carsharing use (Prieto, Baltas, & Stan, 2017). Despite the motives of value-seeking and convenience, we need to consider lifestyle motives and altruistic environmental concerns as factors influencing consumer’s acceptance and usage of carsharing (Schaefers, 2013). The aim of this study is two folded: firstly, to present and compare the sociodemographic profiles of users and non-users of carsharing in Sweden. Secondly, to predict behaviour intentions by assessing behavioural and attitudinal aspects of carsharing acceptance and use. Who are the users of carsharing in the Swedish cities? What are their perceptions regarding acceptance and self-efficacy to use carsharing? What are the behavioural predictors of intention to use carsharing? This study follows the rationale proposed by the Technology Acceptance Model (TAM), which has foundations on the psychological Theory of Reasoned Action (TRA) (Ajzen, 2012). Adaptations of TAM to investigate acceptance of vehicle automation and similar technologies have shown as a satisfactory framework across times and settings, indication strong validity (Madigan, Louw, Wilbrink, Schieben, & Merat, 2017; Yousafzai, Foxall, & Pallister, 2007a, 2007b). This is the first time that carsharing use is largely investigated through TAM in Sweden. The model is adapted to the context of carsharing use in which the latent variables are measured as predictors of behavioural intention to use carsharing in the near future. Performance Expectancy, Effort Expectancy, Social Influence, Facilitating Condition, Trust and Price perception are the latent variables of the model followed by gender, age, frequency of use of carsharing and group (user or non-user of carsharing). Method Data were collected by an online survey distributed by the Laboratory of Opinion Research at the University of Gothenburg. It targeted carsharing users and non-users of Swedish cities (Stockholm, Gothenburg and Malmö metro areas and other municipalities) and the response rate was 84%. In order to assess the latent variables for the model, a set of questions were made to the respondents and indexes were estimated by statistical analysis. The validity of those variables was estimated conjunctly with the statistics procedures. Sample The sample consist of 2818 valid respondents. They are users (n = 1065) and non-users (n = 1752) of carsharing services. Around 65% of the sample are between 30 and 69 years old and around 50% of the sample have monthly income between 30000 to 54999 kroners (before taxes). Around 75% have some kind of university degree. Analysis and Results The results will be presented in two subsections. The first subsection will be a detailed profile for each Swedish city considering age, gender, number of cars in the household, work, income, quality of income management, education and political identification. The second subsection will be the TAM analysis and results to predict Behavioural Intention to use carsharing in a near future. The number of persons living in the household was MUsers = 2.41(SD = 1.19) and MNon-users = 2.29 (SD = 1.17) in Stockholm; MUsers = 2.58 (SD = 1.17) and MNon-users = 2.29 (SD = 1.13) in Gothenburg; MUsers = 2.47 (SD = 1.14) and MNon-users = 2.18 (SD = 1.14) in Malmö; MUsers = 2.4 (SD = 1.2) and MNon-users = 2.43 (SD = 1.17) on the other municipalities. The median for the question “My support for implementation of car sharing in society is…” to be answered based on a Likert scale “1- very weak to 7 – very strong” were 5 for non-users and 6 for users in all cities, except for non-users from Gothenburg which median was 4. The model explained 39% of the variance in Behavioural Intention to use car sharing within the next six months. The independent variables were entered on the model in two steps: (1) the relevant sociodemographic variables, gender, age, frequency of carsharing use and usage category (user or non-user of carsharing services); (2) the latent variables, Performance Expectancy, Social Influence, Effort Expectancy, Trust, Facilitating Conditions (home), Facilitating Conditions (out of home) and Price perception. On the first step, Frequency of CS use (b = -.125, p = .000) and Usage (b = .112, p = .000) were predictors of Behavioural Intention while Gender (b = -.002, p = .944) and Age (b = .015, p = .543) were not. On the second step, the main predictor was Performance Expectancy (b = .38, p = .000), followed by Social Influence (b = .23, p =.000), Trust (b = -.066, p = .009) and Facilitating Conditions (home) (b = .066, p = .016). However, Facilitating Conditions (out of home) (b = .066, p = .016) and Price perception (b = .041, p = .103) did not predicted Behavioural Intention. The results of this study have accomplished with its two folded objectives. The sociodemographic variables were presented in order to visualize a profile of users and non-users of CS on the Swedish cities. The regression results gave evidence that TAM is a valuable model to predict behavioural intention and to give more understanding of consumer’s behaviour and acceptance of CS. The results will be discussed in light of those contributions, such as the relevance to better address consumer’s trust on carsharing services and the contributions to accomplish with the UN’s Sustainable Development Goals.
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| 19. |
- Martins Silva Ramos, Érika, 1991, et al.
(author)
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Experience and users preferences
- 2019
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In: Initiative seminar "Transportation in the Age of digitalization", Chalmers University of Technology, 26 September 2019.
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Conference paper (other academic/artistic)
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| 20. |
- Martins Silva Ramos, Érika, 1991, et al.
(author)
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Mobility styles and car sharing use in Europe: attitudes, behaviours, motives and sustainability
- 2020
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In: European Transport Research Review. - : Springer Science and Business Media LLC. - 1867-0717 .- 1866-8887. ; 12:1
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Journal article (peer-reviewed)abstract
- What are the profiles of both users and non-users of car sharing in European cities regarding their travel patterns and psychological aspects? Two subsamples (1519 users and 3695 non-users of car sharing) participated in a survey, translated into seven languages, with 36 questions regarding attitudes towards car sharing, the environment, political orientation, personal norms, frequency of use of different transport modes and transport mode choice for different travel purposes. Through a hierarchical cluster analysis, five distinct mobility styles were identified, with no a priori restriction of the number of clusters. The mobility styles were further characterised by sociodemographic variables and by the motives for making use of car sharing. This paper discusses the implications of research based decision-making and urban planning in a way that guarantees long-term human and environmental security.
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