Analysis of the main service quality dimensions affecting satisfaction of the metropolitan rail public transit users in Algiers
Metadatos
Mostrar el registro completo del ítemAutor
Baouni, Tahar; Oña López, Rocío de; Merad, Badra; Tahraoui, Lyes; Machado-León, José Luis; Oña López, Juan José DeEditorial
Università di Napoli Federico II
Materia
Public transport Users Mobility Service Quality Regression models Algiers
Fecha
2018Referencia bibliográfica
Baouni, T., De Ona, R., Merad, B., Tahraoui, L., Machado Leon, J.L., De Ona, J. (2018). Analysis of the main service quality dimensions affecting satisfaction of the metropolitan rail public transit Users in Algiers. Tema Journal of Land Use, Mobility and Environment .67-82. doi: [http://dx.doi.org/10.6092/1970-9870/5455]
Resumen
The improvement in public transit is one of the basic and essential pillars to promote sustainable urban and metropolitan mobility everywhere.
Algeria´s transportation system primarily relies on private vehicle, which causes innumerable problems such as congestion, emissions, traffic
accidents, social inequalities, gender inequalities, and deterioration of the environment. Given that, the Algerian Government has recently
carried out some transportation projects such as the Algiers metro and tramway service to promote collective public transportation in the
country. Therefore, it becomes essential to provide public administrations and technicians with relevant information and efficient analytical
tools to help enhance and develop this mass transit. In this line, the first Customer Satisfaction Survey was designed and implemented in
November 2014 at the three railways transit services of Algiers: the light rail, the underground heavy rail (both started into operation in 2011)
and the commuter rail. Thanks to this survey instrument, users’ profiles and travel patterns were found out. Moreover, an ana lytical
framework based on a principal component analysis and an ordered probit model identified service quality dimensions and their impact on
users’ overall satisfaction. In addition, the effect of socio-economic variables and travel patterns on the previously identified quality
dimensions was obtained through multiple linear regression models. The results presented in this paper could help Algerian transport
authorities towards elaborate specific proposals to increase transit ridership.