Aside from providing services and infrastructure for the mobility of people and goods, sustainable transport is a cross-cutting accelerator that can fasttrack progress towards other crucial goals such as SDGs 1, 4, 5, and 13; as such, it is imperative in achieving the 2030 Agenda for Sustainable Development. This, therefore, serves as the impetus for this study. This study administered about two hundred and forty (240) questionnaires to railway transportation passengers and was analyzed to compare the performance of the Railway Stations along the North-South Axis of the Addis Ababa Light Rail Transit (AA-LRT). Six (6) out of seventeen (17) stations along this axis were considered for this study, not only because they comprise terminal stations but also, because they are situated in highly populated areas with high demand potential. The stations were categorized and the comparison was based on the passengers’ perspectives on the selected performance indicators. Also, because the data are dichotomous, Binary Logistic Regression Model was used to model a relationship equation between the dependent variable (level of performance) and the performance indicators (predictors). The selected stations were ranked according to their performances while conclusions and recommendations were suggested to further enhance their performance for customers’ satisfaction. Finally, adopting the methodology in this study for investigating the performance of railway stations elsewhere in the world is recommended.
 

Keywords: Light Rail Transit, Logistic Regression Model, Performance Indicators, Railway Stations, Sustainable Development Goals, Sustainable Cities

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