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Publication Detailed Description
Journal Title
Sustainability
Year (definitive publication)
2020
Language
English
Country
Switzerland
More Information
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Abstract
Increasing public transport use is recognized by many countries as crucial to the pursuit of a global strategy for environmental sustainability and improving urban mobility. Understanding what users value in a public transport service is essential to carry out this strategy. Using fuzzy clustering, we developed an index that measures individual user satisfaction with the public transport service in the metropolitan area of Lisbon and subsequently identified the possible determinants of satisfaction by means of a regression tree model. The results achieved unveil a hierarchical partition of the data, highlighting the diversified level of satisfaction among public transport users that is reflected in the distribution of the index. The managerial implications of the findings for the public transport service are addressed.
Acknowledgements
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Keywords
Fuzzy clustering,Public transport,Regression trees,Service quality attributes
Fields of Science and Technology Classification
- Chemical Sciences - Natural Sciences
- Earth and related Environmental Sciences - Natural Sciences
- Other Natural Sciences - Natural Sciences
- Environmental Engineering - Engineering and Technology
- Social and Economic Geography - Social Sciences
Funding Records
| Funding Reference | Funding Entity |
|---|---|
| UIDB/00315/2020 | Fundação para a Ciência e a Tecnologia |
Contributions to the Sustainable Development Goals of the United Nations
With the objective to increase the research activity directed towards the achievement of the United Nations 2030 Sustainable Development Goals, the possibility of associating scientific publications with the Sustainable Development Goals is now available in Ciência-IUL. These are the Sustainable Development Goals identified by the author(s) for this publication. For more detailed information on the Sustainable Development Goals, click here.
