Spatial and temporal variation of user satisfaction in public transport systems. (March 2022)

• Record Type: Journal Article
• Authors: Echaniz, Eneko; Cordera, Rubén; Rodriguez, Andrés; Nogués, Soledad; Coppola, Pierlugi; dell'Olio, Luigi
• Is Part Of: Transport policy. Volume 117(2022)
• Page Start: 88
• Page End: 97
• Publication Date: 2022-03
• Subjects: User satisfaction -- Perceived quality -- Public transport -- Best-worst analysis -- Spatial and temporal variation; Transportation and state -- Periodicals; Transportation -- Rates -- Periodicals; 388
• DOI: 10.1016/j.tranpol.2022.01.003
• Languages: English
• ISSNs: 0967-070X

Abstract

Abstract: Surveys are a commonly applied method to establish user satisfaction levels with a public transport system. Regardless of the type of survey carried out and the methodology used, the studies usually present a time specific image of the service, showing the results in aggregate form or differentiating by lines and socio-economic characteristics of the users. However, satisfaction is not usually analysed as a variable with temporal or spatial variation. This research presents a case study applied to the city of Santander (Cantabria, Spain) in which an analysis is made about the evolution of satisfaction with the service over a day on various lines that integrate the city's public transport system. At the same time, it analyses how this perception changes at different points in the city. The results show that overall user satisfaction with the service decreases at peak times of the day, experiences more variations in lines with lower frequencies and can depend on the direction and location of the trip. In addition, some attributes were more relevant than others, also showing significant differences in their importance at different time slots and bus lines. These results can help to improve transport services, showing the spatial-temporal differences that exist in the evaluations carried out by users. Highlights: An analysis is made about satisfaction with a public bus transport service. This analysis considers intraurban spatial and temporal variations in satisfaction. A customer satisfaction survey was carried out together with Best-Worst modelling. Peripheral areas and peak times showed the lowest levels of satisfaction. These results can be used to improve services in a more targeted way.