SlideShare a Scribd company logo
1 of 25
TRAVEL MODE CHOICE AMONG
ITALIAN COSTUMERS
A moral extension of the Theory of Planned Behaviour




                          Degree thesis of Daniel Colm
                          Supervisor: Prof. Dr. Bosnjak
Contents


           • Starting point
           • Model
           • Survey
           • Results
           • Discussion
Starting point


                 In Italy:
                 • 73% of commuters are by car
                   • environment, noise, traffic

                 • >30 licences for passenger trains since
                  2000
Model
                          Moral
                        obligation


                        Attitudes
                                      Intention   Behaviour
                       Social norms

                        Perceived
                       behavioural
                         control

Links:
 Original model
 Morality & Ecology
Survey


           • Online survey
           • Direct + indir. measures per construct
           • 506 responded −−> 359 completed
           • Socio-demographical data




Links:
 Sample
Results        • Low correlation between attitudes and
                moral obligation
                 • (r = 0,41)

               • Orig. model is significant
                 • (R2adj= 0,37)

               • Ext. model is improved
                  • (R2adj= 0,46)

               • Moral obligation is significant
                 • (ßMO = 0,33)

               • Social norms is significant
                  • (ßSN = 0,22)

Links:
 Hypothesis
Discussion

             • Environment-oriented adv. campaigns
                • Let the consumer be part of the process

             • Integrate online social services
                • Communicate connected social advantages

             • Improve attitude related limits
                • SWOT-Analysis
THANKS FOR YOUR ATTENTION
I am now glad to answer to your questions.
Sample                 • Marital status
description &            • Singles: 82% (41%)
limits                   • Married: 10% (50%)
                       • Job:
                         • Students: 43% (8%)




   Back to “Survey”
Behavioural
              beliefs
                          Attitudes
Attitudes    Outcome
            evaluation




             Alpha = 0,903
Normative
               beliefs
Subjective                   Social norms
norms        Motivation to
               comply




               Alpha = 0,717
Perceived     Control beliefs
behavioural                     PBC
control
                Frequency




                Alpha = 0,319
Attitudes
| alpha
            Frequency   Cronbach’s Alpha   Valid cases


            0-10             0,001            225


            11-30            0,477             73


            >30              0,629             85
Behavioural
                     beliefs
                                 Moral obligation
Moral obligation    Outcome
                   evaluation




                    Alpha = 0,801
Why the moral
dimension?
                   Morality


                Environmentalism


                     TMC
The Theory of
Planned
Behaviour

                 Attitudes


                Social norms   Intention   Behaviour

                 Perceived
                behavioural
                  control
Moral norms
The extension
of the ToPB
                        ?      ?
                 Attitudes


                Social norms       Intention   Behaviour

                 Perceived
                behavioural
                  control
The extension
of the ToPB
                         Moral
                       obligation


                       Attitudes
                                     Intention   Behaviour
                      Social norms

                       Perceived
                      behavioural
                        control




   Back to “Model”
Hypothesis


                        • H1: low correlation between attitudes
                          and moral obligation
                        • H2: classical model significant
                        • H3: moral extension significant
                        • H4: moral obligation alone is important




   Back to “Results”
Subj.
                                   Intention   Attitudes           PBC
                                                           norms
Results
                      Attitudes     0,453         1



                      Social
                                    0,497       0,289       1
                      norms



                      PBC           0,334       0,248      0,265    1
☐   Hypothesis   1
☐   Hypothesis   2
☐   Hypothesis   3
☐   Hypothesis   4    Moral
                                    0,533       0,415      0,352   0,131
                      obligation
 Back to “Results”
Subj.
                                   Intention   Attitudes           PBC
Results 1:                                                 norms
Correlation r
                      Attitudes     0,453         1



                      Social
                                    0,497       0,289       1
                      norms



                      PBC           0,334       0,248      0,265    1
 Hypothesis 1
☐ Hypothesis 2
☐ Hypothesis 3
☐ Hypothesis 4        Moral
                                    0,533       0,415      0,352   0,131
                      obligation
 Back to “Results”
Results 2:                            Variable    ß      R       R2     R2adj
Linear
regression                       At              0,31

                      Original
                                 SN              0,37   0,614   0,377   0,372
                      model

                                 PBC             0,16


                                 At              0,20


                                 SN              0,28
 Hypothesis 1        Extended
                                                        0,679   0,462   0,456
☐ Hypothesis 2        model
☐ Hypothesis 3                   PBC             0,17
☐ Hypothesis 4
                                 MO              0,33
 Back to “Results”
Results 2:                            Variable    ß      R       R2     R2adj
Linear
regression                       At              0,31

                      Original
                                 SN              0,37   0,614   0,377   0,372
                      model

                                 PBC             0,16


                                 At              0,20


                                 SN              0,28
 Hypothesis 1        Extended
 Hypothesis 2                                          0,679   0,462   0,456
                      model
☐ Hypothesis 3                   PBC             0,17
☐ Hypothesis 4
                                 MO              0,33
 Back to “Results”
Results 2:                            Variable    ß      R       R2     R2adj
Linear
regression                       At              0,31

                      Original
                                 SN              0,37   0,614   0,377   0,372
                      model

                                 PBC             0,16


                                 At              0,20


                                 SN              0,28
 Hypothesis 1        Extended
 Hypothesis 2                                          0,679   0,462   0,456
                      model
 Hypothesis 3                   PBC             0,17
☐ Hypothesis 4                                                          +8,4
                                 MO              0,33
 Back to “Results”
Results 2:                        Variable    ß      R       R2     R2adj
Linear
regression                       At          0,31

                      Original
                                 SN          0,37   0,614   0,377   0,372
                      model

                                 PBC         0,16


                                 At          0,20


                                 SN          0,28
   Hypothesis   1    Extended
   Hypothesis   2                                  0,679   0,462   0,456
                      model
   Hypothesis   3               PBC         0,17
   Hypothesis   4
                                 MO          0,33
 Back to “Results”

More Related Content

Viewers also liked

PresentacióN.Ppt
PresentacióN.PptPresentacióN.Ppt
PresentacióN.Ppt
guest772b1f
 
EU directive about Landfill waste
EU directive about Landfill wasteEU directive about Landfill waste
EU directive about Landfill waste
Daniel Colm
 
Twitter101forjobsearchers
Twitter101forjobsearchersTwitter101forjobsearchers
Twitter101forjobsearchers
zanjonz
 
Consumer behavior models
Consumer behavior modelsConsumer behavior models
Consumer behavior models
Yohitha Desai
 

Viewers also liked (13)

Environmental Management Systems through Furniture industry
Environmental Management Systems through Furniture industryEnvironmental Management Systems through Furniture industry
Environmental Management Systems through Furniture industry
 
מצגת - נדב אלון על כלכלה ושוק ההון
מצגת - נדב אלון על כלכלה ושוק ההוןמצגת - נדב אלון על כלכלה ושוק ההון
מצגת - נדב אלון על כלכלה ושוק ההון
 
[素材圖庫推薦] AZ 平面化設計行銷圖庫 – 以平面化設計風格的行銷素材讓你的轉化率直飆 105% 以上!
[素材圖庫推薦] AZ 平面化設計行銷圖庫 – 以平面化設計風格的行銷素材讓你的轉化率直飆 105% 以上![素材圖庫推薦] AZ 平面化設計行銷圖庫 – 以平面化設計風格的行銷素材讓你的轉化率直飆 105% 以上!
[素材圖庫推薦] AZ 平面化設計行銷圖庫 – 以平面化設計風格的行銷素材讓你的轉化率直飆 105% 以上!
 
כלכלוג - תמונות בלוג
כלכלוג - תמונות בלוגכלכלוג - תמונות בלוג
כלכלוג - תמונות בלוג
 
PresentacióN.Ppt
PresentacióN.PptPresentacióN.Ppt
PresentacióN.Ppt
 
EU directive about Landfill waste
EU directive about Landfill wasteEU directive about Landfill waste
EU directive about Landfill waste
 
CV
CVCV
CV
 
Discrete Choice Analysis Class Final Paper
Discrete Choice Analysis Class Final PaperDiscrete Choice Analysis Class Final Paper
Discrete Choice Analysis Class Final Paper
 
Balanceo de ecuaaciones por tanteo y redox.
Balanceo de ecuaaciones por tanteo y redox.Balanceo de ecuaaciones por tanteo y redox.
Balanceo de ecuaaciones por tanteo y redox.
 
Twitter101forjobsearchers
Twitter101forjobsearchersTwitter101forjobsearchers
Twitter101forjobsearchers
 
Discrete Choice SPSS Power Model
Discrete Choice SPSS Power ModelDiscrete Choice SPSS Power Model
Discrete Choice SPSS Power Model
 
Communiquez professionnellement sur Facebook
Communiquez professionnellement sur FacebookCommuniquez professionnellement sur Facebook
Communiquez professionnellement sur Facebook
 
Consumer behavior models
Consumer behavior modelsConsumer behavior models
Consumer behavior models
 

Recently uploaded

FULL ENJOY Call Girls In Majnu Ka Tilla, Delhi Contact Us 8377877756
FULL ENJOY Call Girls In Majnu Ka Tilla, Delhi Contact Us 8377877756FULL ENJOY Call Girls In Majnu Ka Tilla, Delhi Contact Us 8377877756
FULL ENJOY Call Girls In Majnu Ka Tilla, Delhi Contact Us 8377877756
dollysharma2066
 
Call Girls Jp Nagar Just Call 👗 7737669865 👗 Top Class Call Girl Service Bang...
Call Girls Jp Nagar Just Call 👗 7737669865 👗 Top Class Call Girl Service Bang...Call Girls Jp Nagar Just Call 👗 7737669865 👗 Top Class Call Girl Service Bang...
Call Girls Jp Nagar Just Call 👗 7737669865 👗 Top Class Call Girl Service Bang...
amitlee9823
 
Call Girls Hebbal Just Call 👗 7737669865 👗 Top Class Call Girl Service Bangalore
Call Girls Hebbal Just Call 👗 7737669865 👗 Top Class Call Girl Service BangaloreCall Girls Hebbal Just Call 👗 7737669865 👗 Top Class Call Girl Service Bangalore
Call Girls Hebbal Just Call 👗 7737669865 👗 Top Class Call Girl Service Bangalore
amitlee9823
 
Al Mizhar Dubai Escorts +971561403006 Escorts Service In Al Mizhar
Al Mizhar Dubai Escorts +971561403006 Escorts Service In Al MizharAl Mizhar Dubai Escorts +971561403006 Escorts Service In Al Mizhar
Al Mizhar Dubai Escorts +971561403006 Escorts Service In Al Mizhar
allensay1
 
Nelamangala Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore...
Nelamangala Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore...Nelamangala Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore...
Nelamangala Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore...
amitlee9823
 
Call Girls In Noida 959961⊹3876 Independent Escort Service Noida
Call Girls In Noida 959961⊹3876 Independent Escort Service NoidaCall Girls In Noida 959961⊹3876 Independent Escort Service Noida
Call Girls In Noida 959961⊹3876 Independent Escort Service Noida
dlhescort
 
FULL ENJOY Call Girls In Mahipalpur Delhi Contact Us 8377877756
FULL ENJOY Call Girls In Mahipalpur Delhi Contact Us 8377877756FULL ENJOY Call Girls In Mahipalpur Delhi Contact Us 8377877756
FULL ENJOY Call Girls In Mahipalpur Delhi Contact Us 8377877756
dollysharma2066
 
Call Girls In Nangloi Rly Metro ꧂…….95996 … 13876 Enjoy ꧂Escort
Call Girls In Nangloi Rly Metro ꧂…….95996 … 13876 Enjoy ꧂EscortCall Girls In Nangloi Rly Metro ꧂…….95996 … 13876 Enjoy ꧂Escort
Call Girls In Nangloi Rly Metro ꧂…….95996 … 13876 Enjoy ꧂Escort
dlhescort
 
Call Girls From Raj Nagar Extension Ghaziabad❤️8448577510 ⊹Best Escorts Servi...
Call Girls From Raj Nagar Extension Ghaziabad❤️8448577510 ⊹Best Escorts Servi...Call Girls From Raj Nagar Extension Ghaziabad❤️8448577510 ⊹Best Escorts Servi...
Call Girls From Raj Nagar Extension Ghaziabad❤️8448577510 ⊹Best Escorts Servi...
lizamodels9
 

Recently uploaded (20)

Falcon Invoice Discounting: Unlock Your Business Potential
Falcon Invoice Discounting: Unlock Your Business PotentialFalcon Invoice Discounting: Unlock Your Business Potential
Falcon Invoice Discounting: Unlock Your Business Potential
 
FULL ENJOY Call Girls In Majnu Ka Tilla, Delhi Contact Us 8377877756
FULL ENJOY Call Girls In Majnu Ka Tilla, Delhi Contact Us 8377877756FULL ENJOY Call Girls In Majnu Ka Tilla, Delhi Contact Us 8377877756
FULL ENJOY Call Girls In Majnu Ka Tilla, Delhi Contact Us 8377877756
 
Value Proposition canvas- Customer needs and pains
Value Proposition canvas- Customer needs and painsValue Proposition canvas- Customer needs and pains
Value Proposition canvas- Customer needs and pains
 
Falcon Invoice Discounting: The best investment platform in india for investors
Falcon Invoice Discounting: The best investment platform in india for investorsFalcon Invoice Discounting: The best investment platform in india for investors
Falcon Invoice Discounting: The best investment platform in india for investors
 
Call Girls Jp Nagar Just Call 👗 7737669865 👗 Top Class Call Girl Service Bang...
Call Girls Jp Nagar Just Call 👗 7737669865 👗 Top Class Call Girl Service Bang...Call Girls Jp Nagar Just Call 👗 7737669865 👗 Top Class Call Girl Service Bang...
Call Girls Jp Nagar Just Call 👗 7737669865 👗 Top Class Call Girl Service Bang...
 
Call Girls Service In Old Town Dubai ((0551707352)) Old Town Dubai Call Girl ...
Call Girls Service In Old Town Dubai ((0551707352)) Old Town Dubai Call Girl ...Call Girls Service In Old Town Dubai ((0551707352)) Old Town Dubai Call Girl ...
Call Girls Service In Old Town Dubai ((0551707352)) Old Town Dubai Call Girl ...
 
Malegaon Call Girls Service ☎ ️82500–77686 ☎️ Enjoy 24/7 Escort Service
Malegaon Call Girls Service ☎ ️82500–77686 ☎️ Enjoy 24/7 Escort ServiceMalegaon Call Girls Service ☎ ️82500–77686 ☎️ Enjoy 24/7 Escort Service
Malegaon Call Girls Service ☎ ️82500–77686 ☎️ Enjoy 24/7 Escort Service
 
Falcon Invoice Discounting: Empowering Your Business Growth
Falcon Invoice Discounting: Empowering Your Business GrowthFalcon Invoice Discounting: Empowering Your Business Growth
Falcon Invoice Discounting: Empowering Your Business Growth
 
Call Girls Hebbal Just Call 👗 7737669865 👗 Top Class Call Girl Service Bangalore
Call Girls Hebbal Just Call 👗 7737669865 👗 Top Class Call Girl Service BangaloreCall Girls Hebbal Just Call 👗 7737669865 👗 Top Class Call Girl Service Bangalore
Call Girls Hebbal Just Call 👗 7737669865 👗 Top Class Call Girl Service Bangalore
 
Al Mizhar Dubai Escorts +971561403006 Escorts Service In Al Mizhar
Al Mizhar Dubai Escorts +971561403006 Escorts Service In Al MizharAl Mizhar Dubai Escorts +971561403006 Escorts Service In Al Mizhar
Al Mizhar Dubai Escorts +971561403006 Escorts Service In Al Mizhar
 
Falcon Invoice Discounting platform in india
Falcon Invoice Discounting platform in indiaFalcon Invoice Discounting platform in india
Falcon Invoice Discounting platform in india
 
Organizational Transformation Lead with Culture
Organizational Transformation Lead with CultureOrganizational Transformation Lead with Culture
Organizational Transformation Lead with Culture
 
Nelamangala Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore...
Nelamangala Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore...Nelamangala Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore...
Nelamangala Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore...
 
Call Girls Ludhiana Just Call 98765-12871 Top Class Call Girl Service Available
Call Girls Ludhiana Just Call 98765-12871 Top Class Call Girl Service AvailableCall Girls Ludhiana Just Call 98765-12871 Top Class Call Girl Service Available
Call Girls Ludhiana Just Call 98765-12871 Top Class Call Girl Service Available
 
Call Girls In Noida 959961⊹3876 Independent Escort Service Noida
Call Girls In Noida 959961⊹3876 Independent Escort Service NoidaCall Girls In Noida 959961⊹3876 Independent Escort Service Noida
Call Girls In Noida 959961⊹3876 Independent Escort Service Noida
 
Dr. Admir Softic_ presentation_Green Club_ENG.pdf
Dr. Admir Softic_ presentation_Green Club_ENG.pdfDr. Admir Softic_ presentation_Green Club_ENG.pdf
Dr. Admir Softic_ presentation_Green Club_ENG.pdf
 
How to Get Started in Social Media for Art League City
How to Get Started in Social Media for Art League CityHow to Get Started in Social Media for Art League City
How to Get Started in Social Media for Art League City
 
FULL ENJOY Call Girls In Mahipalpur Delhi Contact Us 8377877756
FULL ENJOY Call Girls In Mahipalpur Delhi Contact Us 8377877756FULL ENJOY Call Girls In Mahipalpur Delhi Contact Us 8377877756
FULL ENJOY Call Girls In Mahipalpur Delhi Contact Us 8377877756
 
Call Girls In Nangloi Rly Metro ꧂…….95996 … 13876 Enjoy ꧂Escort
Call Girls In Nangloi Rly Metro ꧂…….95996 … 13876 Enjoy ꧂EscortCall Girls In Nangloi Rly Metro ꧂…….95996 … 13876 Enjoy ꧂Escort
Call Girls In Nangloi Rly Metro ꧂…….95996 … 13876 Enjoy ꧂Escort
 
Call Girls From Raj Nagar Extension Ghaziabad❤️8448577510 ⊹Best Escorts Servi...
Call Girls From Raj Nagar Extension Ghaziabad❤️8448577510 ⊹Best Escorts Servi...Call Girls From Raj Nagar Extension Ghaziabad❤️8448577510 ⊹Best Escorts Servi...
Call Girls From Raj Nagar Extension Ghaziabad❤️8448577510 ⊹Best Escorts Servi...
 

Travel mode choice among Italian customers

  • 1. TRAVEL MODE CHOICE AMONG ITALIAN COSTUMERS A moral extension of the Theory of Planned Behaviour Degree thesis of Daniel Colm Supervisor: Prof. Dr. Bosnjak
  • 2. Contents • Starting point • Model • Survey • Results • Discussion
  • 3. Starting point In Italy: • 73% of commuters are by car • environment, noise, traffic • >30 licences for passenger trains since 2000
  • 4. Model Moral obligation Attitudes Intention Behaviour Social norms Perceived behavioural control Links:  Original model  Morality & Ecology
  • 5. Survey • Online survey • Direct + indir. measures per construct • 506 responded −−> 359 completed • Socio-demographical data Links:  Sample
  • 6. Results • Low correlation between attitudes and moral obligation • (r = 0,41) • Orig. model is significant • (R2adj= 0,37) • Ext. model is improved • (R2adj= 0,46) • Moral obligation is significant • (ßMO = 0,33) • Social norms is significant • (ßSN = 0,22) Links:  Hypothesis
  • 7. Discussion • Environment-oriented adv. campaigns • Let the consumer be part of the process • Integrate online social services • Communicate connected social advantages • Improve attitude related limits • SWOT-Analysis
  • 8. THANKS FOR YOUR ATTENTION I am now glad to answer to your questions.
  • 9. Sample • Marital status description & • Singles: 82% (41%) limits • Married: 10% (50%) • Job: • Students: 43% (8%)  Back to “Survey”
  • 10. Behavioural beliefs Attitudes Attitudes Outcome evaluation Alpha = 0,903
  • 11. Normative beliefs Subjective Social norms norms Motivation to comply Alpha = 0,717
  • 12. Perceived Control beliefs behavioural PBC control Frequency Alpha = 0,319
  • 13. Attitudes | alpha Frequency Cronbach’s Alpha Valid cases 0-10 0,001 225 11-30 0,477 73 >30 0,629 85
  • 14. Behavioural beliefs Moral obligation Moral obligation Outcome evaluation Alpha = 0,801
  • 15. Why the moral dimension? Morality Environmentalism TMC
  • 16. The Theory of Planned Behaviour Attitudes Social norms Intention Behaviour Perceived behavioural control
  • 17. Moral norms The extension of the ToPB ? ? Attitudes Social norms Intention Behaviour Perceived behavioural control
  • 18. The extension of the ToPB Moral obligation Attitudes Intention Behaviour Social norms Perceived behavioural control  Back to “Model”
  • 19. Hypothesis • H1: low correlation between attitudes and moral obligation • H2: classical model significant • H3: moral extension significant • H4: moral obligation alone is important  Back to “Results”
  • 20. Subj. Intention Attitudes PBC norms Results Attitudes 0,453 1 Social 0,497 0,289 1 norms PBC 0,334 0,248 0,265 1 ☐ Hypothesis 1 ☐ Hypothesis 2 ☐ Hypothesis 3 ☐ Hypothesis 4 Moral 0,533 0,415 0,352 0,131 obligation  Back to “Results”
  • 21. Subj. Intention Attitudes PBC Results 1: norms Correlation r Attitudes 0,453 1 Social 0,497 0,289 1 norms PBC 0,334 0,248 0,265 1  Hypothesis 1 ☐ Hypothesis 2 ☐ Hypothesis 3 ☐ Hypothesis 4 Moral 0,533 0,415 0,352 0,131 obligation  Back to “Results”
  • 22. Results 2: Variable ß R R2 R2adj Linear regression At 0,31 Original SN 0,37 0,614 0,377 0,372 model PBC 0,16 At 0,20 SN 0,28  Hypothesis 1 Extended 0,679 0,462 0,456 ☐ Hypothesis 2 model ☐ Hypothesis 3 PBC 0,17 ☐ Hypothesis 4 MO 0,33  Back to “Results”
  • 23. Results 2: Variable ß R R2 R2adj Linear regression At 0,31 Original SN 0,37 0,614 0,377 0,372 model PBC 0,16 At 0,20 SN 0,28  Hypothesis 1 Extended  Hypothesis 2 0,679 0,462 0,456 model ☐ Hypothesis 3 PBC 0,17 ☐ Hypothesis 4 MO 0,33  Back to “Results”
  • 24. Results 2: Variable ß R R2 R2adj Linear regression At 0,31 Original SN 0,37 0,614 0,377 0,372 model PBC 0,16 At 0,20 SN 0,28  Hypothesis 1 Extended  Hypothesis 2 0,679 0,462 0,456 model  Hypothesis 3 PBC 0,17 ☐ Hypothesis 4 +8,4 MO 0,33  Back to “Results”
  • 25. Results 2: Variable ß R R2 R2adj Linear regression At 0,31 Original SN 0,37 0,614 0,377 0,372 model PBC 0,16 At 0,20 SN 0,28  Hypothesis 1 Extended  Hypothesis 2 0,679 0,462 0,456 model  Hypothesis 3 PBC 0,17  Hypothesis 4 MO 0,33  Back to “Results”

Editor's Notes

  1. Dear blablaThis study is concerned with the elements influencing the travel mode choice in Italy. To investigate the reasons behind the choice of the car instead of the train in commutation from home to the working but also studying and shopping place we applied the theory of planned behaviour expanding it with the addition of moral obligation.
  2. In Italy 73% of the commuting for professional and other reasons happened by private car with obvious consequences for traffic, noise and environment.A the same time the Italian Government has issued more than 30 licences all over the country for passenger trains since 2000.The study starts from here to understand how travel mode choice is determined in the country.
  3. The ToPB has been employed to assess the reasons that determine the choice of the train with respect to other means of transportation. The model analyses how behavioural intention is formed, starting from the four determinants we can see listed on the left. Its significance in the field of travel mode choice has been proved by many studies in the past, especially with the moral extension, that was not initially included in the original model formulated by Ajzen.
  4. The various constructs have been measured by a standard set of questions, adapted to our needs. The survey has been conducted online and reached in 5 days 646 for people of which 78% responded and 56% completed it.
  5. This was my thesis described in its essential parts. I’m now glad to answer to your questions.
  6. Morality applies to travel mode choice in various manners. Morality in general is usually perceived to be an interpersonal construct, that works in relation to other human beings. In the choice of the transportation mean we perceive instead more the non human dimension, when moral behaviour happens with concern towards the environment.
  7. Generally this model has shown to have a significant explanatory power on the influence of these three elements on behavioural intention, the precursor of volitional behaviour. Attitudes reflect the perceived advantages of performing an action, social norms are the perceived judgement of others on our behaviour and the pbc is our confidence in being able to control and perform the behaviour.
  8. What we wanted to test is if moral norms determine intention indirectly influencing first attitudes or if the act on intentions directly in a parallel manner to the classical three constructs. We found theory sustaining both positions. On the one hand attitudes were originally based on the direct benefits one expects to get in return of a particular behaviour. On the other, a strong correlation has been measured between these two constructs in researches that already applied this model.
  9. After a deeper insight questions of the surveys that employed moral obligation on the same level of attitudes, we noticed some degree of ambivalence in the questions address to assess the scoring of attitudes. Question were mainly constructed as “Doing xy is in my opinion… good/bad, tolerable/untolerable etc.”.The Likert scales used, ranged between attributes that bring the surveyed person to answer in a generic way, mixing personal norms and utilitarian attitudes.In our survey we paid much attention on the dimension to use, and significantly reduced the overlap between these two elements.
  10. Here you can see the hypothesis that drove the research. In the first place it was necessary to control that moral obligation was not just a rephrasing of attitudes, like some researchers have sustained. Then a measure of the model without the the addition of moral obligation was needed to measure if the moral dimension had any sense at all. Finally I had to check that moral obligation taken alone was influent on intentions. Time and budget limits made it impossible to control also the influence on effective behaviour.
  11. For the first hypothesis