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Article

Towards Sustainable Mobility through a Change in Values. Evidence in 12 European Countries

by
Carlos Javier de las Heras-Rosas
* and
Juan Herrera
Department of Economics and Business Administration, Universidad de Málaga, 29071 Málaga, Spain
*
Author to whom correspondence should be addressed.
Sustainability 2019, 11(16), 4274; https://doi.org/10.3390/su11164274
Submission received: 30 June 2019 / Revised: 31 July 2019 / Accepted: 5 August 2019 / Published: 7 August 2019
(This article belongs to the Special Issue Sustainable Mobility: Social, Technological and Environmental Issues)

Abstract

:
The research carried out, as well as the measures taken to promote the use of sustainable transport in our cities, do not fully achieve their purpose. The Wertraitionalirat concept introduced by Max Weber in 1922 stated: “The use of public transport arises more from a system of values with which the person identifies than from the quality of the transport offered”. This assertion made at the beginning of the 20th century is still valid, where the means, infrastructure and advances achieved do not obtain a proportional response from citizens. The aim of this work is, through this approach, to find variables that complement research on urban mobility habits. For this purpose, data from the International Social Survey Program (ISSP) and the European Social Survey (ESS) are used to analyse postmodern values and citizens’ environmental awareness, linking these to sustainable mobility habits in 12 European countries. The results suggest that a higher index of postmodern values implies greater environmental awareness, which would lead to a greater use of sustainable transport, although there are variables related to environmental knowledge and risk which indicate that greater environmental education and awareness is needed.

1. Introduction

The World Urbanization Outlook Review published by the United Nations [1] indicates that 55% of the world’s population lives in urban areas; by 2050 the United Nations projection is that this value will reach 68%. In the European Union about 75% of its population lives in urban areas, a figure that rises to 80% in Organization for Economic Cooperation and Development (OECD) members. In this scenario of growing urban concentration, understanding the key trends in the urbanization of our cities, and particularly the urban mobility habits of citizens, is essential to achieve sustainable and successful development.
Planning for sustainable urban mobility has become an international concern (Sustainable Development Goal [2] The New Urban Agenda [3]), and the urgency of the necessary change has been widely discussed among academics, reflected in a high and growing body of research. However, there does not seem to be a general agreement on the best ways to achieve that change [4]. Therefore, it is a challenge that is far from simple, due to the large number of actors and determinants involved. The following paragraphs briefly contextualize the role played by the most important components in sustainable mobility and take also highlights from the lines of research that address this issue.
The urban environment has a series of characteristics that define the advantages and disadvantages that city dwellers must face. It is impossible to bring together in a single compact space the resources, activities and people that a social life requires. Today’s societies are characterized by a complete specialization of space. This means that, in most cases, a large part of the daily desires and needs are not distributed in the environment close to the individual, but rather that mechanical accessibility tools are necessary to achieve them [5]. These instruments of mechanical accessibility are represented by the different modes of transport, among which private vehicles play a major role.
In the 1950s and 1960s, the problem of traffic in large cities was already evident. Since the first studies of urban mobility carried out in the 1950s, [6] noticed how social values, historical memories and other aspects of the individual also influenced his or her modal choice. The individual is not totally rational, he or she also possesses emotion, creativity and imagination, and these will be used by the productive market to create false needs in citizens, tying them to the system of production and consumption.
The private automobile has evolved from being a luxury article to an indispensable good, and not only due to its usefulness for what it is designed for, transporting people and goods; it also becomes a symbol of status, prestige and rational aspiration as it is considered a superior model of transport [7]. It is a common element in our life plan. The rationality of its indiscriminate use, the environmental, economic, social costs and the efficiency of the global energy system is what society in general is now concerned with, designing sustainable mobility plans for cities. It seems clear that the problem is latent. The current use of private transport far exceeds the present and future capacity of our cities. The greatest problems occur in recurrent journeys, which include all those that are repeated and routine, also called functional, because through this type of movement the functioning of a community is carried out [6].
Mobility plans drawn up and implemented by governments have focused mainly on improving and expanding the infrastructures and services available in a given population. Better modal equipment is assimilated to an improvement in the quality of life, but everything has a limit, the city becomes congested and almost paralyses its internal mobility during peak hours. The problems resulting from traffic congestion are varied. Air pollution produced by vehicles that use fossil fuels is one of the fundamental problems for a sustainable environment. To solve it we talk about the use of electric vehicles, although this proposal is not sufficient for a fully sustainable solution [8,9]. The problems of space, parking, noise pollution and lack of road infrastructure are not solved by the use of electric vehicles. In addition, we must add the growing number of injuries and accidents in urban environments, reflected in rising medical and economic costs [10].

1.1. The City and the Car

The city is articulated according to motorised mobility and the geographical distribution of the population, where citizens share spaces and housing buildings at a greater or lesser distance from their work or study centres. This leads to an exponential increase in urban travel. The effects of transport networks on urban environments, as well as on their social and economic structure, were already studied by Cooley [11] in The Theory of Transportation. However, in the old urban centres (especially in Europe) the original design of the city conditioned the networks and transport models that would arrive later. The accelerated and disorderly growth of the population made necessary a series of notable changes in the form of widening avenues and walks open to traffic, and cities began to be structured with mobility in mind [12]. The modern city acquires a series of characteristics linked to economic progress and the incessant advance of motorised journeys. The American model is based on grid-shaped cities with large avenues ready for traffic. In Europe and in many cases as a result of medieval heritage, the starting point is different, although the same end is pursued. Paris became a model to follow in the old continent, with wide boulevards and roundabouts designed for road traffic, trams and vehicles taking over the city. Halbawchs [13], the Haussmann Plan in Paris [14], Cerdá in Barcelona [15], Howard and the concept of the Garden City [16,17], represent examples of the growth and planning of cities that has taken place since the beginning of the 20th century.
The city needs “automobility” [18], as it requires a spatial structure so that it can circulate, to park and to move around. The current urban environment has been built in most cases during the second half of the twentieth century to adapt to the use of the car. Workplaces have been separated from residences and vice versa, pedestrians and cyclists have been moved from the road, and leisure and commercial places have been generated where it is only possible to go by motorised means.
Freud and Martin [19] articulate how modern urban spaces were constructed to facilitate the automobility defined by Urry, to the detriment of other forms of personal movement, filling the world with dead spaces designed for cars. In London, a quarter of the space occupied by the city is intended for the automobile, rising to half in the case of the city of Los Angeles. Parking lots, roads, bridges and other infrastructures have been designed to accommodate the automobile, which is also a symptom of progress in modern societies.
The arrival of the automobile in the city implied changes that society assumed. In the second decade of the twentieth century, the inhabitants of cities called citizens became pedestrians, the car seized the center of the roadway, the pedestrian could no longer walk where he wanted, and could not cross anywhere. The car has displaced the bicycle and the citizens [20]. The eruption of bicycle lanes and pedestrianization of the center in some cities are timidly reversing the situation in certain areas, but much remains to be done.

1.2. Sustainable Urban Mobility

The degree of remoteness from the dwelling to the city centre, or from the main activity of the citizen, is composed of a conjunction of variables such as distance and time, the cost of transport and the income of that subject [21]. This study by Alonso, would be validated in the 1970s by Yacob Zahavi, who exposes how the time that the population devotes to its displacements tends to be constant; the better and faster the means available to move, the further we will move and the further we will locate our place of residence [22]. The geographical location of dwellings, work centres, places of study and family dwellings, among others, configures the complex and extensive metropolitan order, where punctuality, calculability and accuracy are demanded [23]. In this regard, Banister [24] adds how the increase in individual well-being could lead to an increase in the number of kilometres travelled. For the author, the conventional paradigm of minimizing travel time by increasing speed is unsustainable, considering that action could be taken to somehow reduce the need to travel.
Urban spaces, collective transport offers, the built environment, lifestyles, demographics, energy systems and other conditioning factors make up each city. The transport policies that are carried out and the approach to routes and itineraries have shown that the old model based on supply and demand is insufficient, where the choice made by each individual does not correspond sufficiently with the approaches made from higher levels. The need for a shift towards sustainable mobility and optimisation of available resources has generated a significant number of research and scientific projects in this area. The problem addressed is not a simple one, as there are many agents involved and the necessary conditions for the change sought are complex [25,26,27,28]
In research on planning for sustainable urban mobility and accessibility, several main themes arise: urban form, modes of transport and their combination, planning for accessibility and the local context. On the importance of urban form and in the search for traditional urban planning, Cervero and Kockelman define three main dimensions. density, diversity and design [29], high density, diversity of land use and city design will make motorised travel more or less favourable. Subsequently, in 2002, Cervero added four more dimensions to the original three: accessibility to the destination, distance to travel, demand management and demography [30]. The importance of the local context in the planning of sustainable urban mobility is beginning to be addressed in some way.
Kenworthy [31] and Banister’s subsequent works go one step further by arriving at the principles of the sustainable mobility paradigm; where four principles are identified: making better use of technology, regulating and pricing, developing the distribution of spaces and clearly oriented personal information [25] (pp. 78–79).
Another of the most prolific authors in the search for sustainable solutions for urban transport is Bertolini [32], who advocates multimodality, combining different modes of transport and including among them the private vehicle and others not previously foreseen. The author argues that the correct distribution of available space in cities for the different modes of transport, the education of citizens and appropriate policies represent a further step in the sustainable planning sought. Examples such as the integration of bicycles into a city’s transport offer, as has happened in the United Kingdom and some Spanish cities (Malaga, Madrid, Barcelona), point to the importance of this approach.
In 2011, Banister [33] further develops the concept of sustainable urban mobility, stressing the importance and urgency of change, adding the role of governments as a fundamental tool in the intended purpose. This coincides with the works of Vergragt and Brown in 2007 [34] and Zhao in 2010 [35] which point out that governments must play a transcendental role in the search for sustainable mobility: stimulating and applying technological innovation, encouraging research, investing in infrastructures, providing leadership and organizing and leading a debate with a global approach to the problem, serving as a visible head in the measures and development of sustainable mobility. Along these lines, Hull [36] suggests that an agreement is needed between all the public sectors involved, aligning strategies that encourage the general public to use sustainable transport, providing legal and financial support for the achievement of joint projects between the parties involved and the authorities. Case studies carried out by Hysing in a Swedish population [37], or by Buehler and Pucher [38] in Germany, confirmed the importance of policy decisions to achieve change towards sustainable mobility.
Transport systems are complex and cannot be isolated from the city’s infrastructure, energy systems and urbanization, even from the city’s climate. Several studies have suggested methodologies for modelling transport systems with respect to their environment [39,40,41,42,43], however no single methodology has been achieved that is accepted by all [4]. Globalization brings shared technology and knowledge, from the European Union and international organizations are promoted projects and policies in post of a sustainable mobility, the problem lies in the transfer of these policies at the local level. The influence of the local environment makes it difficult to design transport policies that are applicable to different regions [44,45].

1.3. Objectives and Hypotheses of the Research

The study of transport models, spatial planning and organisation of cities should not be approached only from the usual economic and technical approaches, which although they represent a considerable advance with the help of powerful computer tools and the new connectivity, do not fully explain the phenomenon. To achieve change towards sustainable mobility, institutional, financial, legislative, political, technical and cultural barriers must be overcome [46]. Other points of view more related to the individual who makes the decisions should also be taken into account [47,48,49].
This document provides a complementary approach to studies on sustainable mobility in urban areas, focusing on the influence of the individual’s values and environmental awareness regarding the choice of mode of transport. The research and policies carried out to improve the mobility of our cities start from different disciplines that complement each other and pursue a common objective: to achieve sustainable, safe, energy-efficient and environmentally friendly mobility.
The research and projects that are being carried out have an impact on this problem, and sustainable mobility is an issue that is on the table in most transport policies in developed countries. Citizens’ lifestyles are settling over time, just as technological changes and new mobility solutions are entering more or less quickly people’s habits, but not everything is instantaneous. Intelligent mobility is presented as one of the main options for more sustainable transport [50]; real-time management of car parks, means of transport, vehicle management for sharing include other options [51], and even the irruption of new vehicles with alternative and/or electric fuels [52], need adaptation and public awareness: a change of values. The population must be re-educated in this respect. The key question has already been asked: how can we get more people to travel by public transport in a region where most people prefer to travel by car? [53].
This research delves into other variables that influence the modal choice of the individual. The analysis focuses on the influence of a society’s modern/postmodern values of a society have on the consciousness and pro-environmental behavior of individuals, and thus its involvement in urban mobility habits.
It is not the objective of this article to go into the stages and passage from modernism to postmodernism in some societies, but to point out that a significant change of values has been generated more strongly in some countries with respect to others since the middle of the 20th century [54,55,56]. For more than four centuries, modernity represented the power of reason and logic, as opposed to traditional values or those imposed by authority. It is a stage where reason imposes itself on religion and through legislation the freedoms and rights of citizens are protected. Productive processes are industrialized and society emerges with new, more prosperous social classes. It is a stage of unstoppable progress and permanent change, but after several revolutions and two world wars in the twentieth century, the world is segmented and pessimism takes over much of society, the ideal model had failed. Modernity has been languishing since the middle of the last century [57].
In the 1970s, Ronald Inglehart, among other authors, deepened and developed the concept of postmodernity. After two world wars, the segmentation of the world, pessimism and the clash of cultures, the paradigm of modernity has languished since the middle of the 20th century [58]. Postmodernism is the birth of new values and lifestyles, and implies greater tolerance for ethnic, cultural and sexual diversity, as well as individual choices concerning the type of life one wants to lead. Among other changes, and those most related to the article presented, postmodern values correspond to a more secure society from the political and economic point of view and are no longer associated with a past of scarcity. This fact has led to a disproportionate consumption of resources in postmaterialist society, which has produced severe environmental degradation, which is worse in the poorest countries. The citizen has more information and is more aware of the protection of the environment [59]. Quality of life is the highest priority, involvement in ecological problems, the defence of a sustainable way of life, and the search for well-being are characteristic aspects of this paradigm [58].
The advance of societies from modernism to postmodernism is inevitable in the globalized world, although some do so before others. If postmodern societies maintain a greater concern for the environment, and this translates into a more pronounced environmental attitude and behaviour, one might think that this relationship would lead to a greater use of sustainable transport. The two main hypotheses presented in this research are the following:
H1. 
A more postmodern society implies a greater environmental awareness of its citizens.
H2. 
Greater environmental awareness and behaviour implies greater use of sustainable transport.
In order to examine the incidence of these postmodern value variables on environmental awareness and sustainable transport, the unit of analysis must be the country. Both postmodern values and environmental awareness are indicators that can vary little within a state, but if they can vary significantly from one state to another, in this way one chooses to compare data from different countries at a given time.
Through two surveys carried out in 12 European countries in the same period of time, the possible correspondence between postmaterialistic values and environmental awareness [60] and the possible relationship between environmental awareness and sustainable mobility habits will be analysed. Comparison in 12 European states allows these variables to be related to the modal choice of their citizens. In this way, environmental and postmodern values provide an approach that complements the complex analysis of the conditioning factors for achieving sustainable mobility within cities. The aim of this document is to highlight the direct influence that social values relating to modernism/postmodernism and environmental awareness have on mobility habits, where it will be demonstrated that more postmodern societies with more developed environmental awareness and attitude are to a greater extent consumers of sustainable transport options, although with some nuances that will be developed later.

2. Materials and Methods

Europe becomes the ideal setting for this research. The European Union has repeatedly indicated the need to adapt cities, the economy and lifestyles to a culture of sustainable mobility. The European Union’s Transport White Paper, both in its 1995, 2001 and 2011 editions, proclaims the need for transport policies that are sustainable and competitive. The countries chosen for this research belong to the European Union. The sharing of laws, guidelines and regulations related to the subject matter of this research makes the results comparable and conclusive in a more accurate way.
The data used in this research come from two statistical studies of international prestige: the International Social Survey Programme ISSP 2010 “Environment III”; and the Special Eurobarometer 406-79.4. There are other options with available data, such as the World Values Survey (WVS), which also includes questions on the environment and modernism/postmodernism but has not been used because of the low representation of European Union countries it contains. Other available surveys from the European Union, such as the Eurobarometer or the European Values Study, include data referring to urban mobility or the environment, but do not coincide in the same survey, so they did not meet one of the parameters sought in this project.
The complete methodology used in conducting the surveys is available in the links that can be found in the bibliography of this manuscript [61,62]. The two methods are based on random sampling in several stages, starting with primary sampling units (PSU) subdividing each country into different zones; in the second stage a group of addresses is selected for each PSU sampled, proportional to the size of each population.
With the data extracted from the surveys, a total of 24 variables will be obtained, 13 from ISSP Environment III (M1 and A1 to A12) and 11 from Eurobarometer 406-79.4 (H1 to H5 and P1 to P6). Two indicators will be obtained from these variables, the percentage difference index (PDI) to measure modernism/postmodernism and the sustainable transport index (STI) to measure the use of sustainable transport. The rest of the variables are independent and will be used for the bivariate correlations with the indices obtained (PDI and STI).
Therefore, once each variable and index is weighted, countries are scored by a percentage per variable according to what their citizens have answered. The methods used are described in more detail in the following paragraphs.
The use of the two surveys chosen allows us to analyse the three key aspects for this research: modern/postmodern values, environmental awareness and urban mobility habits in as many European countries as possible. Ideally, each respondent would have answered all the questions needed in this analysis, but no surveys have been found that link the three aspects commented on in the same questionnaire. What is available is a survey linking modern/postmodern values with environmental awareness (ISSP: Environment III) and another survey linking urban mobility habits with environmental awareness (Eurobarometer 406-79.4). In this way and in two simple steps we will obtain the necessary information for the analysis we are looking for. The choice of countries analyzed has depended on the databases chosen for the purposes of this research. The two surveys and their relationship to the hypotheses are as follows (Figure 1):
  • For hypothesis H1: data available from the International Social Survey Program (ISSP) Environment III will be used [61]
  • For hypothesis H2: the data available in the European Social Survey (ESS) Eurobarometer 406-79.4 will be used [62]
At the time of this research, the ISSP Environment III included 32 countries from all over the world, of which 16 were European. The ESS Eurobarometer 406-79.4 includes the 28 countries of the European Union. In order to compare the same companies, the 16 countries available in the ISSP Environment III are used. The 16 countries initially available are: Austria (AT), Belgium (BE), Bulgaria (BU), Croatia (HR), Czech Republic (CZ), Denmark (DK), Finland (FI), France (FR), Germany (DE), Lithuania (LT), Latvia (LV), Slovak Republic (SK), Slovenia (SI), Spain (ES), Sweden (SE) and Great Britain (GB). The nations of Lithuania, Latvia and Slovenia have much smaller population sizes than the rest and are discarded for this reason. Austria is also discarded because of its cultural proximity to neighbouring countries that are included. In future studies, provided that comparable data exist, it would be appropriate to add to the elected societies the rest of the European Union countries and even nations from other continents.
In the sample of the 12 countries chosen, a geographical continuity is maintained between north-south, east-west, at the same time as societies with greater and lesser degrees of development are included, as well as old and new democracies. Thus, the results obtained should show a more varied range of values, a fact that is always advisable in social studies. The countries chosen are: Belgium (BE), Bulgaria (BU), Croatia (HR), Czech Republic (CZ), Denmark (DK), Finland (FI), France (FR), Germany (DE), Slovak Republic (SK), Spain (ES), Sweden (SE) and Great Britain (GB) Figure 2.

2.1. Postmodern Values and Environmental Awareness. Materials for Hypothesis H1

For the analysis of the relationship between a society’s postmodern values and its environmental consciousness, the survey conducted by the International Social Survey Programme (ISSP) in 2010, called ISSP 2010: Environment III, will be used [61].
The ISSP Environment III dedicates its 2010 wave of study to Attitudes to Environmental Protection. This survey is conducted in 32 countries around the world, where people over 18 years of age are interviewed (in Finland over 15 years of age). The main blocks of this survey are:
  • Most important issues for your country;
  • Those responsible for economic problems;
  • Inglehart postmaterialism Scale (4 items);
  • Materialistic and postmaterialistic attitudes;
  • Concern and habits regarding environmental problems;
  • Responsible for environmental problems;
  • Energy sources;
  • Demographic data;
  • Activity, policy orientation and others.
Table 1 shows the number of surveys conducted in each chosen country.
The Inglehart Postmaterialism Scale developed in the 70s of the 20th century is included within the thematic blocks contained in the ISSP Environment III. This scale is the most valid and best documented indicator to measure the dimension of modernization/postmodernization in a society. This indicator has been used by numerous authors and organizations since its creation. Inglehart in 1971, 1976 and 1977 through the then European Economic Community, and the European Social Survey (EVS), the World Values Surveys (WVS) among others have been making this assessment of countries, which in their last waves covered 75% of the world population [63]. The scale is made up of two consecutive questions where respondents are told to choose which should be the first priority for their country and the second, choosing from four available items. The choices are as follows:
  • Maintain the order of the nation;
  • Increasing citizens’ participation in important government decisions;
  • Combat the rise in prices;
  • Protect freedom of expression.
If the respondent chooses the first and third option (1 and 3, or 3 and 1, the order does not matter) it would represent a materialistic orientation, or in other words, less postmodern. On the other hand, if you choose the second and fourth option (2 and 4, or 4 and 2, the order does not matter), it would represent a postmaterialistic orientation, which resembles postmodern values. In cases where their choice is crossed (1 and 2, 1and 4, 2 and 1, 2 and 3, 3 and 2, 3 and 4, 4 and 1, 4 and 3), we speak of a mixed orientation. The scale has lasted without significant criticism that has forced changes in the composition or disposition of the answers. The choice of citizens as to what they consider to be the most important priorities for their country, choosing them from among four possibilities, allows us to obtain the PDI for each country, which is explained below.
The survey conducted by ISSP 2010: Environment III, consists of more than 50 questions, although the number of questions varies slightly depending on the country where the survey has been conducted, the questions drawn from the questionnaire conducted in ISSP 2010 are common in all selected countries. The questions used for this study of the ISSP Environment III survey are shown in Table 2, together with the name of the variable, the question number of the questionnaire and the statement of the question.
The variables extracted from this survey are: M1 (Postmaterialism-PDI); A1, A2, A3, A4 and A5 (Environmental awareness); A6, A7 and A8 (Environmental knowledge); A9, A10, A11 and A12 (Pro-environmental behaviour). In total there are 16,787 valid cases.

2.2. Environmental Awareness and Sustainable Mobility Habits. Materials for Hypothesis H2

The second source used comes from Eurobarometer 79.4, which in 2013 [62], during the months of May and June, carried out a survey in which, among other thematic blocks, it dedicated a large part to public transport and environmental aspects. The 79.4 wave of Eurobarometer 406 was called Social Climate, Development Aid, Cyber Security, Public Transport, Anti-microbial Resistance and Space technology. The survey is carried out in 29 countries, for a total of 27,680 cases. For this part of the research, the same 12 countries used previously were chosen. Table 3 shows the number of surveys per country and the entity that conducted the survey in each case.
The Eurobarometer 406-79.4 survey is structured in 6 thematic blocks (A, B, C, D, E and F). The fourth block (D), the most important for this research, deals with urban mobility habits and the environment through 8 multiple questions. The interview closes with the sociodemographic aspects of the interviewee. Supplementary Materials of this document reproduce the questionnaire relating to urban mobility and other questions of interest. The interest of this survey for the research is that in the same questionnaire it will be possible to relate sustainable mobility habits and environmental awareness. The variables extracted from this survey are reflected in Table 4.
The variables extracted from the Eurobarometer 406-79.4 survey are composed of two groups. On the one hand: H1, H2, H3, H4 and H5, from which the STI explained in the following paragraphs will be extracted, and on the other hand, the variables P1, P2, P3, P4, P5 and P6 are obtained to evaluate environmental awareness.

2.3. Methods

2.3.1. Weighting of Variables

All the responses obtained through the surveys carried out in the 12 companies studied have been subjected to a weighting process based on 100, thus achieving homogeneity in the results of the available data. For example, in question 12a of ISSP2010, variable A3, this would be the case: Question 12a (variable A3).
How willing would you be to pay much higher prices in order to protect the environment?
The possible answers are:
  • Very willing
  • Fairly willing
  • Neither willing nor unwilling
  • Fairly unwilling
  • Very unwilling
  • Can’t choose
Table 5 details the process.
Thus, it could be said that 26.8% of those surveyed in Spain would be very much in favour or quite a lot in favour of paying higher prices for environmental protection. It is not intended to imply that respondents are fully representative of the country specified, but does provide useful information in comparison with the other countries chosen.
The set of responses obtained in each country in the sample has been previously weighted with respect to the age variable, since in the study of modernist/postmodernist values, as well as in aspects related to environmental awareness and urban mobility habits, the age of the respondent has a greater or lesser impact on the values obtained [54,58,64,65]. The age weighting (Appendix A) has been carried out directly on the page where the survey resides, by means of tools provided for this purpose.

2.3.2. Postmaterialism Index (Percentage Difference Index, PDI)

The post-materialism index in the 12 European countries is obtained by operating the data obtained from the ISSP 2010 Environment III survey. The so-called PDI [54,66] will be used. It is the most recommended and accepted for the analysis of several societies in comparison, is obtained by subtracting the percentage of post-materialists reached, the percentage obtained from materialists. This indicator is equivalent to an average score ranging from −100 (totally materialistic) to 100 (completely postmaterialistic). The case of Germany is shown in Table 6.

2.3.3. Sustainable Transport Index (STI)

In order to construct the sustainable transport index by country, we use Eurobarometer 406-79.4, which is the reference survey for this part of the research. For sustainable transport, we count those journeys made by public transport, bicycle or on foot. Those that are not sustainable are those made in private vehicles of the individual, car or motorbike (those journeys made in non-fossil fuel vehicles, which although sustainable for the environment, do not improve traffic congestion problems in cities and have not been included due to a lack of information). The index will be constructed by default, i.e., it will calculate what percentage of respondents use their car or motorbike infrequently so that countries with a higher calculated index will mean that their citizens have more sustainable mobility habits.
To construct the STI is as follows: it will calculate how many respondents have answered that they use the car in the options shown in italics;
  • Several times a day
  • Once a day
  • Two or three times a week
  • Once a week
  • Two or three times a month
  • Less frequently
  • Never
It is understood that as daily mobility, there would be options: several times a day, once a day, or even two or three times a week. Therefore, the answers are chosen for the index: once a week, two or three times a month, less frequently or never. In this way we are selecting all the citizens who do not use the car (neither as their own vehicle, nor as accompanied), or who in the case of using it, only use it once a week as the most frequent mode. The selected individuals practice sustainable mobility, but there remains another vehicle that is catalogued as unsustainable: the motorcycle.
From the group of citizens previously chosen from the car question, and in each category of the four available in italics, those will also be selected who, in relation to motorcycle travel, choose once a week, two or three times a month, less frequently or never. As an example, Belgium, Table 7 gives:

2.3.4. Correlation Analysis between Variables

In addition to the descriptive statistics of each country, to analyze the possible relationship between postmodern values and environmental consciousness, as well as the possible relationship between mobility habits and environmental consciousness, bivariate correlations, based on Pearson’s linear correlation coefficient, will be used. Two surveys (ISSP 2010: Environment and Eurobarometer 406-79.4) have been used. The PDI has been extracted from ISSP2010 to measure modernism/postmodernism, and the STI has been constructed from Eurobarometer 406-79.4. Each of these indices will be associated by means of a two-dimensional statistical analysis with the rest of the variables of its own survey. In other words, the PDI is paired with variables A1 to A12, and the STI with variables P1 to P6. From the bivariate correlation, the variance and the covariance will be extracted, from which the Pearson correlation coefficient will be obtained (it takes values between −1 and 1, where values close to 1 or −1 indicate a possible correlation between the variables): The covariance and the Pearson linear correlation coefficient between variables. If the value obtained in the pairings for bilateral Significance (Bilateral Sig.) is less than 0.05 or even less than 0.01, it can be affirmed with a risk of error of 0.05 or 0.01 that both chosen variables are related and there is significant correlation. The statistical calculations have been carried out with the SPSS computer application.
The grouping carried out in the variables of the two surveys will allow us to deduce whether environmental awareness and attitude are related to the postmodern values of a society, and if so, whether those postmodern values imply a greater use of sustainable transport. As discussed in this paper, the shift in values towards postmodernism leads to a greater concern for the environment and ecology, a greater interest in the common welfare and the community, which leads us to think about more sustainable transport practices. The summary of variables and groupings is shown in Table 8 below.

3. Results

The 15,402 valid cases recorded in the 12 countries, 31.1% of respondents demonstrate materialistic values, while 9.6% do so with post-materialistic values; 57.3% are mixed. The chosen sample of 12 European societies offers the possibility of contrasting how different cultures and societies present different values. The results are shown in Table 9.
At the head of postmaterialistic values is Germany (DE) with an PDI of 12.8%, followed by the Nordic countries, Denmark with 4.3%, Finland (FI) with 2% and Sweden (SE) with −1.9%. At the other end of the scale is Bulgaria (BU) with −40.7%, Slovakia (SK) with −35.4%, Czech Republic (RZ) with −29.7% and Belgium with −27.4%. Eastern countries show the most extreme values towards materialism, confirming the hypotheses developed by Inglehart of scarcity and socialization that align with the shift from materialism to post-materialism.

3.1. Hypothesis H1

The correlation of the postmaterialism index (PDI) with the other variables of the ISSP2010: Environment with respect to environmental awareness and attitude is shown in Table 10.
In the analysis of results between variable M1 (PDI) and the other variables extracted from the ISSP2010: Environment III, it is necessary to highlight some issues.
Environmental awareness (A1, A2, A3, A4 and A5). It is established that there is a significant and direct correlation between the PDI and the following variables: A3 (0.660 **, willingness to pay higher prices for environmental protection), A4 (0.610*, willingness to pay more taxes for environmental protection) and A5 (0.786 **, willingness to lower the standard of living for environmental protection). For the less specific questions in this block, A1 (0.345, level of environmental concern) and A2 (−0.417, greater concern for the environment and not for prices or employment) the correlation is weak and not significant (>0.05). Three of the five variables obtain significant results of direct (positive) and significant correlation with the PDI. The two variables that are not sufficiently significant correspond to two more general questions, and in the case of variable A2, which compares environmental protection with employment and price increases, it should be noted that the survey was conducted between 2010 and 2011, where the effects of the crisis were very present. The H1 hypothesis is not rejected, a more postmodern society presents a greater environmental conscience. However, other interesting conclusions can be drawn from this same table.
In a more detailed analysis, the Nordic countries and Germany, which show the highest PDIs, clearly indicate a greater concern for the environment, are more willing to pay higher prices to protect the environment (A3), pay more taxes (A4) and even lower their standard of living after the environment (A5). The higher postmaterialistic values in these countries corroborate Inglehart’s hypotheses on the theory of scarcity and the theory of socialization. Does it mean that this greater concern for the environment would encourage them to use more sustainable transport? In order to be able to answer this question, we must investigate a little further using the second hypothesis.
Regarding the variables A6, A7 and A8, where citizens are asked about air pollution produced by the automobile (A6), industries (A7) and agriculture (A8), there is no significant correlation with the postmaterialism index (PDI).
If we analyze the data shown in Table 11, a more modern vehicle fleet, with more efficient technologies and a greater penetration of alternative fuels, may cause the population to begin not to worry about this type of pollution with respect to less ecological countries in this regard, although this cannot be affirmed with the data used in this study.
Something that does surprise with respect to these variables on pollutants (A6, A7 and A8) is the appreciated difference between what the Europeans of these 12 countries think about the most polluting practices and what actually happens. For 72% of the Europeans surveyed, the pollution produced by industry is extremely dangerous or very dangerous, followed by agriculture with 66.3% and thirdly cars with 50%. The European Environment Agency (EEA) details in its Environmental Indicator Report (2014) which are the most harmful substances and which agents are the generators of pollution. Contamination by CO and NOX has its most polluting agent in transport. In relation to PM10 and PM2.5 particles, industry is responsible for most of the pollution that occurs, as is the case with SOx pollution. As can be seen, the perception of Europeans does not coincide with reality. Measures of environmental awareness and knowledge are necessary to promote sustainable transport.
The last group of variables corresponding to ISSP2010, A9, (frequency of recycling in the home), A10 (purchase of ecological products), A11 (do not use the car for environmental reasons) and A12 (belong to an ecological group), form the pro-environmental behaviour module. In general it can be affirmed that post-materialistic values incline towards pro-environmental behaviour, although in this case it should be noted that questions about the frequency of recycling or the purchase of ecological products will depend very much on the infrastructures and opportunities that surround the individual. Both the frequency of recycling in the home and the membership of an environmental organisation have a positive correlation and bilateral significance with respect to the PDI, with the most post-material countries showing a more marked pro-environmental behaviour.

3.2. Hypothesis H2

With regards to the results taken from the second survey used, Eurobarometer 406-79.4, a sustainable transport index has been constructed, grouping together the percentage of all journeys made by sustainable means, that is, excluding the private car or motorcycle. In order to adapt to the survey used in the 12 societies, sustainable behaviour is understood as that individual who, although using his own car or motorcycle, does so at most once a week, in such a way that functional trips (work, study) in the daily life of the individual are excluded. The STI ranges from 0 to 100, with higher indicating greater use of sustainable transport. See Figure 3 below.
Respondents in Bulgaria, the Czech Republic, Slovakia, and Spain have the highest STI values. As already mentioned, it is risky to draw firm conclusions regarding the use of collective transport without knowing whether the individual has the possibility to use sustainable transport, or only has the choice of his own vehicle for his daily tasks; it is also possible that the respondent does not have the financial capacity to purchase a car, so that when travelling by motorised means he needs collective transport (captive user). Even so, it is necessary to comment how the post-materialist countries, which also have a greater environmental awareness, detailed above, do not stand out for their sustainable mobility, development does not necessarily bring better dwellings [54,67].
Table 12 showing the correlation between STI and environmental awareness, extracted from Eurobarometer 409-79.4, indicates in a first exploration how the bilateral correlation is not significant in most cases between STI and the rest of the variables. There are even cases such as the one between STI and P1 (climate change as a priority for the EU) that comes out negative, this would mean that increased use of sustainable transport does not correspond to users’ feelings that climate change should be a priority for the EU.
The H2 hypothesis is rejected; greater environmental awareness and behaviour does not imply greater use of sustainable transport. The correlation sought between variables P1 to P6 (environmental awareness) and the sustainable mobility habits obtained with the IST is not significant. There are many more conditioning factors that influence the modal choice of the citizen, and although societies are moving towards postmodern values and towards greater concern for the environment, it cannot be said that greater environmental concern is sufficient to change transport habits towards a more sustainable mode.
In any case, interesting results are obtained from this table. Countries with a higher STI (more walking, cycling or collective transport and less use of private vehicle) are those that appreciate urban traffic as a problem. Where urban traffic is not seen as a problem correspond to those with a lower STI. Figure 4 details the values found.
Concern regarding traffic, acoustic pollution and air pollution of the Europeans of the 12 countries surveyed, reflected in the variables P3, P4 and P5, shows some harmony in the results between the majority of countries. Finland, Denmark and Sweden appear to be far less concerned about these three aspects of the city, which leads one to think that traffic jams in these populations are not as frequent as in the big cities of France, Spain or the United Kingdom, so the population does not see traffic as a problem. From there it can be extracted that noise and air quality in cities are also not major problems for these citizens.
With regard to variable P6 (responsible for reducing traffic in cities), all the countries surveyed except France point to the city authorities where they live as the maximum responsible for reducing traffic (P6), with values from 67% of Danes and Finns to 42% of Spaniards. Secondly, citizens themselves appear to be responsible for reducing traffic in cities.

4. Conclusions

The advance of society towards postmodern values implies a greater environmental awareness, a growing concern for the environment and a clear concern about the habitat that surrounds us and the influence we have on it. The protection of the environment is a global issue, with the inhabitants of large cities being one of the groups most adversely affected by environmental problems. Does this situation lead the citizen to be more aware of the importance of sustainable mobility?
The values of environmental awareness are high in the countries surveyed but must be differentiated between environmental awareness from a pro-environmental attitude. This is the case of countries such as Spain and Bulgaria, which although presenting high levels of environmental awareness, do not stand out from the rest of the countries by pro-environmental practices, presenting even the lowest levels; therefore, the fact that a nation presents high indices of environmental awareness, does not imply pro-environmental behaviour.
The less developed countries in the sample present less environmentally healthy attitudes than the more developed ones. In questions about economic efforts to protect the environment, countries such as Croatia, Bulgaria, the Czech Republic and Slovakia present themselves as unwilling. The Nordic countries in the sample, such as Finland, Sweden and Denmark, together with Germany, present the most collaborative attitudes in these assumptions.
The citizens’ perception of the most polluting agents in the air does not coincide with the objective data on this phenomenon. It should be noted that in more developed countries the motor energy and age of the vehicle fleet is much more efficient in terms of pollutants than in other countries, hence the perception of vehicle pollution in Bulgaria or Slovakia offers much higher data than that of Nordic countries, which have demonstrated greater awareness and pro-environmental attitude towards sustainable transport. In countries such as Sweden and Denmark the use of hybrid, electric and other ecological systems is much more widespread than elsewhere.
Respondents living in places with higher traffic problems use sustainable transport more. This statement, which can be banal, is not so banal if the results are analysed. The countries most concerned about the environment, with more post-materialistic values and greater economic development have yielded somewhat surprising data. Finland is a clear example, its citizens do not consider traffic in cities to be a problem, nor do they consider noise or air pollution to be problematic in their cities. This is because they do not suffer from this kind of inconvenience, Nordic cities are at the tail end of urban pollution, so their inhabitants who do not have major traffic or pollution problems do not hesitate to use the car for everyday travel. On the other hand, they have a high degree of global environmental awareness, in values such as climate change and concern for the environment in general.
The personal development of citizens continues to be closely linked to the private vehicle, with which, if there are no barriers that hinder its use, they will continue to use it for their routine journeys instead of sustainable transport. It is important to note that countries with higher postmodern values are at the forefront in the use and development of alternative fuel vehicles, where local and state policies strongly support such measures. But pollution is not the only problem of cities, and future road traffic, even if considered to be zero emission, would still congest the city unless traffic in urban centres is limited and collective transport is promoted in the same way.
On the part of governments and the European Union, aggressive campaigns must be carried out to make citizens aware of the importance of sustainable transport. The cities of the most developed countries are full of containers to facilitate recycling, the citizen, has at home means to separate waste according to their nature and does so naturally, having assimilated the importance of recycling, although this takes some effort. On the other hand, the negative effects of unsustainable mobility on the city are still not clearly accepted. In this study it has been reflected how the most advanced countries are more aware of the environment, making use of recycling, belonging to environmental organizations and other pro-environmental behaviors; instead the private car is extracted from the pro-environmental equation, and it is necessary to change values towards sustainable transport.
Postmodern societies integrate the environment in their vital priorities, and the organization and citizen awareness will help to shape much more livable and healthy cities. Collective transport should be seen as a tool to improve our health, just as we take care of our diet or do physical exercise.

Supplementary Materials

The following are available online at https://www.mdpi.com/2071-1050/11/16/4274/s1: Questionnaires ISSP 2010 “Environment III” and Eurobarometer 406-79.4.

Author Contributions

Conceptualization, C.J.d.l.H.-R.; Methodology, C.J.d.l.H.-R., J.H.; Validation, J.H., C.J.d.l.H.-R.; Formal analysis, C.J.d.l.H.-R.; Investigation and Resources, C.J.d.l.H.-R., J.H.; Writing—original draft preparation, C.J.d.l.H.-R., J.H.; Writing—review and editing, C.J.d.l.H.-R., J.H.; Supervision, C.J.d.l.H.-R.; all authors read and approved the final manuscript.

Funding

This research received no external funding.

Acknowledgments

The authors are grateful to de anonymous reviewers for their valuable comments and suggestions.

Conflicts of Interest

The authors declare no conflict of interest.

Appendix A. Methodological Note Weighting Age

Suppose we would like to distinguish the age of respondents between those over 50 and those under 50 by asking whether they use public or private transport. If 400 surveys are conducted in that country, and 300 respondents are over 50 years old (75%), and 100 are under 50 (25%), so that the result of a question is not affected by the age of the respondents, the number of respondents over 50 who use public transport should be multiplied by 0.67, while the number of respondents under 50 who use public transport should be multiplied by 2. Thus the influence of age on the result of this question would be nullified. Another issue would be to carry out a demographic analysis to see what type of population resides in each city and to see which mode of transport is the most appropriate.

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Figure 1. From postmodern values to sustainable mobility. Source: Own preparation.
Figure 1. From postmodern values to sustainable mobility. Source: Own preparation.
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Figure 2. Countries chosen in the research. Source: Own preparation.
Figure 2. Countries chosen in the research. Source: Own preparation.
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Figure 3. Sustainable transport index in 12 European countries. Source: own elaboration through Eurobarometer 406-79.4 (2013) Belgium (BE), Bulgaria (BG), Croatia (HR), Czech Republic (CZ), Denmark (DK), Finland (FI), France (FR), Germany (DE), Slovakia (SK), Spain (ES), Sweden (SE) and United Kingdom (GB).
Figure 3. Sustainable transport index in 12 European countries. Source: own elaboration through Eurobarometer 406-79.4 (2013) Belgium (BE), Bulgaria (BG), Croatia (HR), Czech Republic (CZ), Denmark (DK), Finland (FI), France (FR), Germany (DE), Slovakia (SK), Spain (ES), Sweden (SE) and United Kingdom (GB).
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Figure 4. Opinion on the problems of cities. Source: Own elaboration through Eurobarometer 406-79.4 (2013).
Figure 4. Opinion on the problems of cities. Source: Own elaboration through Eurobarometer 406-79.4 (2013).
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Table 1. Characteristics of the International Social Survey Programme (ISSP) 2010 sample of 12 selected countries.
Table 1. Characteristics of the International Social Survey Programme (ISSP) 2010 sample of 12 selected countries.
CountryNo. of SurveysCountryNo. of Surveys
Belgium1142France2253
Bulgaria1003Germany1407
Croatia1210Slovakia1159
Czech Republic1428Spain2560
Denmark1305Sweden1181
Finland1211United Kingdom928
Total16,787
Source: Own elaboration through ISSP 2010 “Environment III” ISSP Research Group.
Table 2. Classification of variables ISSP 2010: Environment III.
Table 2. Classification of variables ISSP 2010: Environment III.
ModelVariableNo.Question
Postomdernist ValuesM13a
3b
Postmaterialism Scale Inglehart (4 Ítems)
Environmental AwarenessA1
A2
A3
A4
A5
6
10a
12a
12b
12c
Level of environmental concern
Concern for the environment and not for prices and employment
Willingness to pay high prices
Willingness to pay more taxes
Willingness to lower standard of living
Environmental KnowledgeA6
A7
A8
14a
14b
14c
Environmental hazard perception by car
Perception of environmental hazard by industries
Perception of environmental hazard by agricultural chemistry
Pro-environmental behavior A9
A10
A11
A12
20a
20b
20c
21
Recycling frequency in the home
Frequency of purchase of organic products
Frequency of not using the car for environmental reasons
Belonging to an environmental group or organization
Source: Own preparation.
Table 3. Sample characteristics from 12 selected countries Eurobarometer 406-79.4.
Table 3. Sample characteristics from 12 selected countries Eurobarometer 406-79.4.
CountryNo. of SurveysCountryNo. of Surveys
Belgium1006France1053
Bulgaria1025Germany1003
Croatia1000Slovakia1000
Czech Republic1026Spain1008
Denmark1010Sweden1000
Finland1003United Kingdom1006
Total12,140
Source: Own elaboration through Eurobarometer 406-79.4.
Table 4. Classification of variables Eurobarometer 406-79.4.
Table 4. Classification of variables Eurobarometer 406-79.4.
ModelVariableNo.Question
Mobility HabitsH1QD15Frequency of walking
H2QD11Frequency of going by car
H3QD13Frequency of riding a motorcycle
H4QD12Frequency of going on public transport
H5QD14Frequency of cycling
Environmental AwarenessP1QA5EU priority on climate change
P2QB6EU priority on the environment
P3QD4Perception of traffic jams as an urban problem
P4QD4Perception of noise pollution as an urban problem
P5QD4Perception of air pollution as an urban problem
P6QD8Citizens as Responsible Reduce Traffic in Cities
Source: Own elaboration.
Table 5. Variable weighting (variable A3: Pay higher prices in order to protect the environment).
Table 5. Variable weighting (variable A3: Pay higher prices in order to protect the environment).
CountryVery WillingFairly WillingNeither Willingnor UnwillingFairly UnwillingVery UnwillingCan’t ChooseTotal Cases
España7659564173544802495
España (weighting in base 100)3%23.8%25.7%29.5%18%0%100%
Source: Own elaboration through ISSP 2010.
Table 6. Calculation of the postmaterialism index variable M1 (Ej. Germany).
Table 6. Calculation of the postmaterialism index variable M1 (Ej. Germany).
Highest Priority in Your CountryNext Highest Priority in Your CountryGermany
1 Maintain order in the nation1 Maintain order in the nation2.3
2 Give people more say in government decisions10.7
3 Fight rising prices6.8
4 Protect freedom of speech8.6
2 Give people more say in government decisions1 Maintain order in the nation12.3
2 Give people more say in government decisions4.4
3 Fight rising prices11.1
4 Protect freedom of speech14.6
3 Fight rising prices1 Maintain order in the nation4.1
2 Give people more say in government decisions4.2
3 Fight rising prices1.1
4 Protect freedom of speech2.5
4 Protect freedom of speech1 Maintain order in the nation5.7
2 Give people more say in government decisions9.1
3 Fight rising prices1.2
4 Protect freedom of speech1.4
Materialists: (1 and 3) + (3 and 1)10.9
Postmaterialists: (2 and 4) + (4 and 2)23.7
Mixed: (1 and 2) + (1 and 4) + (2 and 1) + (2 and 3) + (3 and 2) + (3 and 4) + (4 and 1) + (4 and 3)56.3
Percentage Difference Index (PDI)12.8
Source: Own elaboration through ISSP 2010.
Table 7. Elaboration of sustainable transport index (STI), Belgium.
Table 7. Elaboration of sustainable transport index (STI), Belgium.
Frequency of Use of CarFrequency of Use of MotorbikeIndex Partial Sustainable Transport
Once a week6.9%Once a week0.0%6.5%
Two or three times a month0.0%
Less frequently0.1%
Never6.4%
Two or three times a month4.4%Once a week0.0%4.1%
Two or three times a month0.0%
Less frequently0.1%
Never4.0%
Less frequently3.7%Once a week0.0%3.6%
Two or three times a month0.0%
Less frequently0.1%
Never3.5%
Never8.4%Once a week0.0%8.0%
Two or three times a month0.1%
Less frequently0.0%
Never7.9%
Total that they don’t use the car much23.8%Sustainable Transport Index (STI)22.2%
Source: Own elaboration through Eurobarometer 406-79.4 (2013).
Table 8. List of research variables.
Table 8. List of research variables.
SourceVariableIndicator
ISSP 2010 “ENVIRONMENT III”M1: Postmaterialism index (PDI) Inglehart 4 itemsPDI Postmaterialism
A1: Level of environmental concernEnvironmental awareness
A2: Greater concern for the environment rather than prices or employment
A3: Willingness to pay higher prices for protecting the environment
A4: Willingness to pay more taxes for environmental protection
A5: Willingness to lower the standard of living for the protection of the environment
A6: Environmental hazard perception by carEnvironmental knowledge
A7: Perception of environmental hazard by industry
A8: Perception of danger to the environment from agricultural chemicals
A9: Recycling frequency in the homePro-environmental behaviour
A10: Frequency buy ecological products
A11: Frequency do not use car for environmental reasons
A12: Belonging to an environmental group
EUROBAROMETER 406 - 79.4H1: Walking frequencySustainable Transport Index (STI)
H2: Frequency of going by car
H3: Frequency of riding on motorcycle
H4: Frequency of going on public transport
H5: Frequency of cycling
P1: EU priority climate changeEnvironmental awareness
P2: EU environment priority
P3: Perception of traffic jams as an urban problem
P4: Perception of noise pollution as an urban problem
P5: Perception of air pollution as an urban problem
P6: Responsible for reducing traffic in cities
Source: Own elaboration through ISSP 2010: Environment III and Eurobarometer 406-79.4 (2013).
Table 9. Materialistic and post-materialistic values in 12 European countries.
Table 9. Materialistic and post-materialistic values in 12 European countries.
Variable M1. Question 3aVariable M1. Question 3bCountries
Highest Priority in Your CountryNext Highest Priority in Your CountryBEBUHRCZDKFIFRDESKESSEGBTotal
1 Maintain order in the nation1 Maintain order in the nation0.700.2010.40.92.30.502.300.7
2 Give people more say in gov. decisions8.811.78.6916.311.45.510.713.17.918.815.810.9
3 Fight rising prices18.717.714.517.78.29.816.86.821.717.912.31417.2
4 Protect freedom of speech7.72.726.127.27.54.18.666.9217.97.3
2 Give people more say in government decisions1 Maintain order in the nation6.29.55.75.711.7146.312.386.610.711.48.6
2 Give people more say in gov. decisions0.600.200.70,20.24.40.300.800.7
3 Fight rising prices9.610.117.39.32.815.314.111.19.911.52.81210.7
4 Protect freedom of speech3.62.15.13.58.713.59.714.62.78.38.58.16.1
3 Fight rising prices1 Maintain order in the nation15.826.515.619.22.36.916.24.118.714.23.58.213.9
2 Give people more say in gov. decisions12.413.620.911.71.78.611.64.210.79.228.49.9
3 Fight rising prices0.200.300.10.20.41.10.30.20.100.3
4 Protect freedom of speech4.427.150.91.642.52.76.11.43.44.1
4 Protect freedom of speech1 Maintain order in the nation4.91.60.76.210.83.52.15.71.94.49.64.23.8
2 Give people more say in gov. decisions3.51.41.33.76.15.24.79.12.33.85.43.83.5
3 Fight rising prices310.531.21.93.21.21.32.80.82.72
4 Protect freedom of speech000.100.200.31.400000.1
Total (%)100100100100100100100100100100100100100
(N)104894711771366116710672031131010392411106577015402
Materialists: (1 and 3) + (3 and 1)34.544.230.136.910.516.733.010.940.432.115.822.231.1
Postmaterialists: (2 and 4) + (4 and 2)7.13.56.47.214.818.714.423.75.012.113.911.99.6
Mixed: (1 and 2) + (1 and 4) + (2 and 1) + (2 and 3) + (3 and 2) + (3 and 4) + (4 and 1) + (4 and 3)57.052.262.856.072.663.850.956.353.655.467.165.857.3
PDI−27.4−40.7−23.7−29.74.32.0−18.612.8−35.4−20.0−1.9−10.3
Source: Own elaboration through ISSP 2010.
Table 10. Correlation index of postmaterialism and environmental variables. ISSP 2010: Environment III.
Table 10. Correlation index of postmaterialism and environmental variables. ISSP 2010: Environment III.
StatisticsM1A1A2A3A4A5A6A7A8A9A10A11A12
M1Pearson C.10.345−0.4170.660 *0.610 *0.786 **−0.516−0.344−0.4120.644 *0.3850.5480.638 *
Bilateral Sig 0.2730.1770.0190.0350.0020.0860.2730.1830.0240.2160.0650.026
A1Pearson C.0.34510.3730.4920.3010.458−0.442−0.233−0.2460.4020.0960.3610.354
Bilateral Sig0.273 0.2330.1040.3420.1350.1500.4660.4420.1950.7660.2480.260
A2Pearson C.−0.4170.3731−0.407−0.463−0.467−0.136−0.0100.019−0.157−0.2810,010−0.273
Bilateral Sig0.1770.233 0.1890.1300.1260.6730.9750.9540.6270.3760,9740.391
A3Pearson C.0.660 *0.492−0,40710.909 **0.767 **−0.444−0.453−0.3210.612 *0.3450.3690.827 **
Bilateral Sig0.0190.1040.189 0.0000.0040.1480.1390.3090.0350.2730.2370.001
A4Pearson C.0.610 *0.301−0.4630.909 **10.619 *−0.370−0.579 *−0.4040.4230.2230.0540.759 **
Bilateral Sig0.0350.3420.1300.000 0.0320.2370.0490.1930.1710.4850.8680.004
A5Pearson C.0.786 **0.458−0.4670.767 **0.619 *1−0.419−0.253−0.2990.777 **0.1080.5100.670 *
Bilateral Sig0.0020.1350.1260.0040.032 0.1750.4270.3460.0030.7390.0900.017
A6Pearson C.−0.516−0.442−0.136−0.444−0.370−0.41910.835 **0.807 **−0.667 *−0.129−0.523−0.710 **
Bilateral Sig0.0860.1500.6730.1480.2370.175 0.0010.0020.0180.6890,0810.010
A7Pearson C.−0.344−0.233−0.010−0.453−0.579 *−0.2530.835 **10.849 **−0.428−0.026−0.092−0.660 *
Bilateral Sig0.2730.4660.9750.1390.0490.4270.001 0.0000.1660.9360.7760.019
A8Pearson C.−0.412−0.2460.019−0.321−0.404−0.2990.807 **0.849 **1−0.5740.141−0.258−0.549
Bilateral Sig0.1830.4420.9540.3090.1930.3460.0020.000 0.0510,6620.4180.064
A9Pearson C.0.644 *0.402−0.1570.612 *0.4230.777 **−0.667 *−0.428−0.5741−0.0240.791 **0.745 **
Bilateral Sig0.0240.1950.6270.0350.1710.0030.0180.1660.051 0.9420.0020.005
A10Pearson C.0.3850.096−0.2810.3450.2230.108−0.129−0.0260.141−0.02410.3700.311
Bilateral Sig0.2160.7660.3760.2730.4850.7390.6890.9360.6620.942 0.2360.326
A11Pearson C.0.5480.3610.0100.3690.0540.510−0.523−0.092−0.2580.791 **0.37010.544
Bilateral Sig0.0650.2480.9740.2370.8680.0900.0810.7760.4180.0020.236 0.068
A12Pearson C.0.638 *0.354−0.2730.827 **0.759 **0.670 *−0.710 **−0.660 *−0.5490.745 **0.3110.5441
Bilateral Sig0.0260.2600.3910.0010.0040.0170.0100.0190.0640.0050.3260.068
Note: * Correlation is significant at level 0.05 (bilateral). ** Correlation is significant at level 0.01 (bilateral). Source: Own elaboration through ISSP 2010.
Table 11. Europeans’ perception of air pollution from cars.
Table 11. Europeans’ perception of air pollution from cars.
VARIABLE A6: In General, do You Think That Air Pollution Caused by Cars is …? Values in (%)
CountriesExtremely DangerousVery DangerousSomewhat DangerousNot Very DangerousNot DangerousTotal(N)
Belgium8.026.152.012.81.11001083
Bulgaria25.837.629.85.90.9100984
Croatia22.537.732.86.80.21001203
Czech Republic13.141.334.89.81.11001401
Denmark10.129.950.19.70.21001240
Finland3.423.754.317.61.11001184
France10.925.951.810.70.71002192
Germany11.941.039.17.50.51001341
Slovakia24.648.323.03.90.21001144
Spain13.954.627.93.30.41002531
Sweden9.434.646.89.10.21001157
United Kingdom8.421.253.315.91.2100892
Total countries13.336.640.68.90.610016,352
Standard desviation7.110.311.34.40.4
Source: Own elaboration through ISSP 2010.
Table 12. Correlation between environmental awareness and sustainable transport.
Table 12. Correlation between environmental awareness and sustainable transport.
STIP1P2P3P4P5P6
STIPearson Correlation1−0.594 *−0.0290.4190.628 *0.571−0.562
Bilateral Sig 0.0420.9280.1750.0290.0520.057
P1Pearson Correlation−0.594 *10.382−0.602 *−0.618 *−0.4650.139
Bilateral Sig0.042 0.2210.0380.0320.1280.666
P2Pearson Correlation−0.0290.3821−0.0050.0430.071−0.031
Bilateral Sig0.9280.221 0.9880.8930.8250.924
P3Pearson Correlation0.419−0.602 *−0.00510.885 **0.893 **−0.332
Bilateral Sig0.1750.0380.988 0.0000.0000.292
P4Pearson Correlation0.628 *−0.618 *0.0430.885 **10.950 **−0.441
Bilateral Sig0.0290.0320.8930.000 0.0000.151
P5Pearson Correlation0.571−0.4650.0710.893 **0.950 **1−0.418
Bilateral Sig0.0520.1280.8250.0000.000 0.176
P6Pearson Correlation−0.5620.139−0.031−0.332−0.441−0.4181
Bilateral Sig0.0570.6660.9240.2920.1510.176
Note: * Correlation is significant at level 0.05 (bilateral). ** Correlation is significant at level 0.01 (bilateral). Source: Own elaboration through Eurobarometer 406-79.4 (2013).

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de las Heras-Rosas, C.J.; Herrera, J. Towards Sustainable Mobility through a Change in Values. Evidence in 12 European Countries. Sustainability 2019, 11, 4274. https://doi.org/10.3390/su11164274

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de las Heras-Rosas CJ, Herrera J. Towards Sustainable Mobility through a Change in Values. Evidence in 12 European Countries. Sustainability. 2019; 11(16):4274. https://doi.org/10.3390/su11164274

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de las Heras-Rosas, Carlos Javier, and Juan Herrera. 2019. "Towards Sustainable Mobility through a Change in Values. Evidence in 12 European Countries" Sustainability 11, no. 16: 4274. https://doi.org/10.3390/su11164274

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