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Open AccessArticle

Comparing Transport Quality Perception among Different Travellers in European Cities through Co-Cluster Analysis

1
DIATI, Politecnico di Torino, C.so Duca degli Abruzzi 24, 10129 Torino, Italy
2
Department of Computer Science, University of Torino, C.so Svizzera 185, 10149 Torino, Italy
*
Author to whom correspondence should be addressed.
Sustainability 2019, 11(24), 7159; https://doi.org/10.3390/su11247159
Received: 20 October 2019 / Revised: 10 December 2019 / Accepted: 11 December 2019 / Published: 13 December 2019
(This article belongs to the Section Sustainable Transportation)
The quality of the transport system offered at city level constitutes an important and challenging goal for society, for local authorities, and transport operators. Therefore, appropriate evaluation of travellers’ satisfaction is required to support service performance monitoring, benchmarking, and market analysis. This aspect implies the collection of satisfaction levels for different passengers’ groups, as it could provide interesting suggestions for identifying priority areas of action. To this end, an original study aimed at understanding the main aspects affecting the common view of satisfaction among different kinds of travellers at European level is presented in this paper. A specific survey investigating how travellers perceive the quality of their journey is proposed to people living in cities characterised by different sizes. Data are then analysed through a multi-view co-clustering algorithm, an innovative machine learning technique that highlights clusters of respondents grouped according to various categories of features. Such results could be used by local authorities and transport providers to understand the specific actions to be operated to improve the quality of transport service offered in a market segmentation dimension. View Full-Text
Keywords: users’ perception; machine learning; transport quality; urban mobility; passenger satisfaction; clustering users’ perception; machine learning; transport quality; urban mobility; passenger satisfaction; clustering
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Pirra, M.; Pensa, R.G. Comparing Transport Quality Perception among Different Travellers in European Cities through Co-Cluster Analysis. Sustainability 2019, 11, 7159.

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