Weighted Variables Using Best-Worst Scaling in Ordered Logit Models for Public Transit Satisfaction
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Instituto Politécnico Nacional, Sección de Estudios de Posgrado e Investigación, Av. Te 950 Alcaldía Iztacalco Col. Granjas Mexico, CDMX 08400, Mexico
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Sustainable Mobility and Railways Engineering (SUM+LAB), Department of Transportation, University of Cantabria, Av. de Los Castros 44, 39005 Santander, Cantabria, Spain
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Author to whom correspondence should be addressed.
Sustainability 2020, 12(13), 5318; https://doi.org/10.3390/su12135318
Received: 31 May 2020 / Revised: 26 June 2020 / Accepted: 26 June 2020 / Published: 1 July 2020
(This article belongs to the Special Issue Feature Papers in Sustainable Transportation Models and Applications)
Customer overall satisfaction regarding a public transport system is dependent on the satisfaction of the users with the attributes that make up the service, as well as the contribution that each of these attributes makes to explain the overall satisfaction. A common way of analysing the contribution of service attributes to explain overall satisfaction is through the use of ordered logit or probit models. This article presents an ordered logit model that considers the weighting of independent variables through the explicit importance calculated on the basis of a best-worst case 1 choice task. For the calculation of importance, a multinomial logit model has been estimated which considers the heterogeneity of the sample through systematic variations in user tastes. In this way, it is possible to establish a level of importance of each specific attribute for each type of user. The results show that the importance varies considerably depending on different socio-economic and mobility-base variables. On the other hand, the inclusion of the weighted variables in the ordered logit model improves its fit. Therefore, the results make possible to develop policies focused on improving satisfaction on specific user targets.
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MDPI and ACS Style
Mendoza-Arango, I.M.; Echaniz, E.; dell’Olio, L.; Gutiérrez-González, E. Weighted Variables Using Best-Worst Scaling in Ordered Logit Models for Public Transit Satisfaction. Sustainability 2020, 12, 5318. https://doi.org/10.3390/su12135318
AMA Style
Mendoza-Arango IM, Echaniz E, dell’Olio L, Gutiérrez-González E. Weighted Variables Using Best-Worst Scaling in Ordered Logit Models for Public Transit Satisfaction. Sustainability. 2020; 12(13):5318. https://doi.org/10.3390/su12135318
Chicago/Turabian StyleMendoza-Arango, Iván M., Eneko Echaniz, Luigi dell’Olio, and Eduardo Gutiérrez-González. 2020. "Weighted Variables Using Best-Worst Scaling in Ordered Logit Models for Public Transit Satisfaction" Sustainability 12, no. 13: 5318. https://doi.org/10.3390/su12135318
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