Analysis of the main service quality dimensions that affect the satisfaction of users of the metropolitan rail public transit services in Algiers
Abstract
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 analytical 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.Downloads
References
Alpu, O. (2015). A methodology for evaluating satisfaction with high-speed train services: A case study in Turkey. Transport Policy, 44, 151-157. https://doi.org/10.1016/j.tranpol.2015.08.004
Baouni, T. (2014). Rapport des enquêtes portant sur les pratiques de la mobilité à Alger. laboratoire VUDD, Epau-Alger.
Baouni, T. (2015). Impacts des nouveaux TCSP sur la mobilité des usagers à Alger. Proceedings from Conférence Internationale CODATU. Istanbul, Turkey: Technical University Istanbul.
Baouni, T. (2015). Les transports collectifs à Alger: une nouvelle stratégie face aux défis du développement durable. Proceedings from Séminaire National sur L’Urbanisme. Tlemcen, Algeria.
Baouni, T., Bakour, M., & Berchache, R. (2014). Les effets de la multi modalité sur la mobilité des usagers. Insaniyat, 62, 45-69. doi:10.4000/insaniyat.14298
Berchache, R. (2011). Les enjeux des transports collectifs face au développement urbain durable d’Alger. Mémoire de magister en urbanisme, Epau – Alger.
Berry, L., Zeitham, V. A., & Parasuraman, A. (1990). Five Imperatives for Improving Service Quality. Sloan Management Review, 31, 29-38.
BETUR, & CENEAP. (2005). Enquête ménages transport Alger 2004. Rapport final, Alger.
Charton, M. (2010). Le projet de réorganisation du réseau des transports urbains d’Alger: La pertinence de l’outil de modélisation. Mémoire de master, université de Bourgogne-France.
de Oña J., Baouni T., & de Oña, R. (2013). The metro in Algiers: user profile and quality of service. WIT Transactions on the Built Environment, 130, 11. doi:10.2495/UT130511
de Oña R., Machado J.L., & de Oña, J. (2015). Perceived Service Quality, Customer Satisfaction and Behavioral Intentions: A Structural Equation Model for the Metro of Seville, Spain. Transportation Research Record, 2671(2538). https://doi.org/10.3141/2538-09
de Oña, J., & de Oña. R, (2014). Quality of Service in Public Transport Based on Customer Satisfaction Surveys: A Review and Assessment of Methodological Approaches. Transportation Science, 49(3), 605-622. https://doi.org/10.1287/trsc.2014.0544
de Oña, J., de Oña, R., & Calvo, F.J. (2012). A classification tree approach to identify key factors of transit service quality. Expert Systems with Applications, 39(12), 11164-11171. https://doi.org/10.1016/j.eswa.2012.03.037
de Oña, J., de Oña, R., Eboli, L., Forciniti, C., & Mazzulla G. (2016). Key transit passengers’ behavioural intentions: the influence of service quality and customer satisfaction. Transportmetrica A, 12(5), 385-412. https://doi.org/10.1080/23249935.2016.1146365
Dell’Olio, L., Ibeas, A., & Cecin, P. (2011). The quality of service desired by public transport users. Transport Policy, 18, 217–227. https://doi.org/10.1016/j.tranpol.2010.08.005
Dessau-Soprin, & Thalles. (2006). Rapport de synthèse plan de transport d’Alger. Ministère des transports.
Diab, E., van Lierop, D., & El-Geneidy A. (2017). Recommending transit: Disentangling users’ willingness to recommend transit and their intended continued use. Travel Behaviour and Society, 6, 1-9. https://doi.org/10.1016/j.tbs.2016.03.001
Direction de l’Administration Locale d’Alger. (2016). Statistiques du fichier électoral de la wilaya d’Alger, Janvier 2016.
Entreprise des Transports Urbains Algérois (ETUSA). (2014). Rapport d’exploitation, Direction d’exploitation-Alger.
Entreprise du Métro d’Alger-RATP-El Djazair (2014). Document portant sur la satisfaction des usagers du métro. EMA/RATP-Alger.
Garrido, C., de Oña, R., & de Oña, J. (2014). Neural networks for analyzing service quality in public transportation. Expert Systems with Applications, 41(15), 6830-6838. https://doi.org/10.1016/j.eswa.2014.04.045
Guirao, G., García-Pastor, A., & López-Lambas, M. E. (2016) The importance of service quality attributes in public transportation: Narrowing the gap between scientific research and practitioners' needs. Transport Policy, 49, 68-77. https://doi.org/10.1016/j.tranpol.2016.04.003
Hadiuzzman, M., Das, T., Hasnat, M. M., Hossain, S. M., & Musabbir, S. R. (2017). Structural equation modeling of user satisfaction of bus transit service quality based on stated preferences and latent variables. Transportation Planning and Technology, 40(3), 257-277. https://doi.org/10.1080/03081060.2017.1283155
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate Data Analysis: A Global Perspective. New Jersey: Prentice Hall.
Hernandez, S., & Monzon, A. (2016). Key factors for defining an efficient urban transport interchange: Users' perceptions. Cities, 50, 158-167. https://doi.org/10.1016/j.cities.2015.09.009
Mckelvey, R. D., & Zavoina, W. (1975). A statistical model for the analysis of ordinal level dependent variables. Journal of Mathematical Sociology, 4, 103-120. https://doi.org/10.1080/0022250X.1975.9989847
Office National des Statistiques. (2010). Annuaires des Recensements Généraux de la Population et de l’Habitat 66, 77, 87 et 98.
Ojo, T. K., Nutsogbodo, R. Y., & Appiah-Mintah, R. (2014). Passenger's perspective of quality of intercity bus transport service Accra-Cape Coast route, Ghana. GE International Journal of Management Research, 267-287.
Park, J., Robertson, R., & Wu, C. L. (2004) The effect of airline service quality on passengers’ behavioural intentions: A Korean case study. Journal of Air Transport Management, 10(6), 435–439. https://doi.org/10.1016/j.jairtraman.2004.06.001
Román, C., Martín, J. C., & Espino, R. (2014). Using stated preferences to Analyze the Service Quality of Public Transport. International Journal of Sustainable Transportation, 8, 28-46. https://doi.org/10.1080/15568318.2012.758460
Talamali, A. (2018). Transports collectifs et métropolisation d’Alger (doctoral dissertation). USTHB, Algiers, Algeria.

Copyright (c) 2018 Tema. Journal of Land Use, Mobility and Environment

This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish in this journal agree to the following:
1. Authors retain the rights to their work and give in to the journal the right of first publication of the work simultaneously licensed under a Creative Commons License - Attribution that allows others to share the work indicating the authorship and the initial publication in this journal.
2. Authors can adhere to other agreements of non-exclusive license for the distribution of the published version of the work (ex. To deposit it in an institutional repository or to publish it in a monography), provided to indicate that the document was first published in this journal.
3. Authors can distribute their work online (ex. In institutional repositories or in their website) prior to and during the submission process, as it can lead to productive exchanges and it can increase the quotations of the published work (See The Effect of Open Access)