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Abstract: Customer overall satisfaction towards a public transport system depends mainly on two factors: how satisfied they are with different aspects that make up the service and how important each of the service aspects is to the customer. Traditionally, researchers use revealed preference surveys and ordered probit/logit models to estimate the contribution of each service attribute towards the overall satisfaction. This paper aims to verify the possibility of replacing the traditional method with the more cost-effective best-worst case 1 method, using a customer survey recently conducted in Santander, Spain. The results show that the satisfaction level obtained from these alternative methods are remarkably similar. The relative importance of each attribute delivered by the two methods differ, with the Best-Worst approach showing more intuitive and consistent results with the literature on public transport customer satisfaction. A regression method is developed to derive customer satisfaction with each service attribute from Best-Worst modelling results.
Fuente: Transportation Research Part A: Policy and Practice Volume 130, December 2019, Pages 752-769
Publisher: Elsevier Ltd
Publication date: 31/10/2019
No. of pages: 18
Publication type: Article
DOI: 10.1016/j.tra.2019.10.012
ISSN: 0965-8564,1879-2375
Publication Url: https://doi.org/10.1016/j.tra.2019.10.012
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ENEKO ECHANIZ BENEITEZ
HO, CHINH Q.
ANDRES RODRIGUEZ GUTIERREZ
LUIGI DELL´OLIO
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