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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Vicente, P., Suleman, A. & Reis, E. (2020). Index of satisfaction with public transport: a fuzzy clustering approach. Sustainability. 12 (22), 1-19
Exportar Referência (IEEE) 
P. A. Duarte et al.,  "Index of satisfaction with public transport: a fuzzy clustering approach", in Sustainability, vol. 12, no. 22, pp. 1-19, 2020
Exportar BibTeX 
@article{duarte2020_1731979838289,
	author = "Vicente, P. and Suleman, A. and Reis, E.",
	title = "Index of satisfaction with public transport: a fuzzy clustering approach",
	journal = "Sustainability",
	year = "2020",
	volume = "12",
	number = "22",
	doi = "10.3390/su12229759",
	pages = "1-19",
	url = "https://www.mdpi.com/journal/sustainability"
}
Exportar RIS 
TY  - JOUR
TI  - Index of satisfaction with public transport: a fuzzy clustering approach
T2  - Sustainability
VL  - 12
IS  - 22
AU  - Vicente, P.
AU  - Suleman, A.
AU  - Reis, E.
PY  - 2020
SP  - 1-19
SN  - 2071-1050
DO  - 10.3390/su12229759
UR  - https://www.mdpi.com/journal/sustainability
AB  - 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.
ER  -