Weighted Variables Using Best-Worst Scaling in Ordered Logit Models for Public Transit Satisfaction

Iván Manuel Mendoza-Arango, Eneko Echaniz, Luigi dell’Olio and Eduardo Gutiérrez-González
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Iván Manuel Mendoza-Arango: Instituto Politécnico Nacional, Sección de Estudios de Posgrado e Investigación, Av. Te 950 Alcaldía Iztacalco Col. Granjas Mexico, CDMX 08400, Mexico
Eneko Echaniz: Sustainable Mobility and Railways Engineering (SUM+LAB), Department of Transportation, University of Cantabria, Av. de Los Castros 44, 39005 Santander, Cantabria, Spain
Luigi dell’Olio: Sustainable Mobility and Railways Engineering (SUM+LAB), Department of Transportation, University of Cantabria, Av. de Los Castros 44, 39005 Santander, Cantabria, Spain
Eduardo Gutiérrez-González: Instituto Politécnico Nacional, Sección de Estudios de Posgrado e Investigación, Av. Te 950 Alcaldía Iztacalco Col. Granjas Mexico, CDMX 08400, Mexico

Sustainability, 2020, vol. 12, issue 13, 1-20

Abstract: 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.

Keywords: user satisfaction; public transport; best-worst scaling; ordered logit; discrete choice (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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