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Index of Satisfaction with Public Transport: A Fuzzy Clustering Approach

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  • Paula Vicente

    (Business Research Unit (BRU-IUL), Department of Quantitative Methods for Management and Economics, Instituto Universitário de Lisboa (ISCTE-IUL), 1649-026 Lisboa, Portugal)

  • Abdul Suleman

    (Business Research Unit (BRU-IUL), Department of Mathematics, Instituto Universitário de Lisboa (ISCTE-IUL), 1649-026 Lisboa, Portugal)

  • Elizabeth Reis

    (Business Research Unit (BRU-IUL), Department of Quantitative Methods for Management and Economics, Instituto Universitário de Lisboa (ISCTE-IUL), 1649-026 Lisboa, Portugal)

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.

Suggested Citation

  • Paula Vicente & Abdul Suleman & Elizabeth Reis, 2020. "Index of Satisfaction with Public Transport: A Fuzzy Clustering Approach," Sustainability, MDPI, vol. 12(22), pages 1-19, November.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:22:p:9759-:d:449528
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    References listed on IDEAS

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    Cited by:

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    3. Rafal Stachyra & Kamil Roman, 2021. "Analysis of Accessibility of Public Transport in Warsaw in the Opinion of Users," Postmodern Openings, Editura Lumen, Department of Economics, vol. 12(3), pages 384-403, August.

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