A research on regenerative braking energy recovery: a case of Addis Ababa light rail transit

2021 ◽  
pp. 100117
Author(s):  
Asegid Belay Kebede ◽  
Getachew Biru Worku
Keyword(s):  
Energy Recovery ◽  
Addis Ababa ◽  
Regenerative Braking ◽  
Light Rail ◽  
Rail Transit ◽  
Light Rail Transit ◽  
Braking Energy Recovery

scholarly journals Safety Demonstration and Risk Management at Rail-Road Level Crossing at Addis Ababa Light Rail Transit Network

2019 ◽  
pp. 103-109
Author(s):  
Adoh Lucky Ugochukwu ◽  
Mutswatiwa Lovejoy ◽  
Akello fiona Mercy
Keyword(s):  
Road Traffic ◽  
Addis Ababa ◽  
Light Rail ◽  
Rail Transit ◽  
Light Rail Transit ◽  
Level Crossing ◽  
Effect Analysis ◽  
Road Traffic Injuries ◽  
Mode Effect ◽  
Failure Mode Effect Analysis

Safety and security are among the major basic needs for the public in daily life and transportation plays a crucial role in satisfying this need. According to the World Health Organization (WHO) data, estimates of 1.2 million people worldwide died as a result of road traffic injuries in 2013 and it is estimated that road traffic injuries will be the 6th leading cause of death by 2030. Among the various types of road traffic injuries, accidents between trains and road vehicles are the deadliest and are associated with high cost of accidents. As Railway transportation continues to be an important piece to the overall national transportation puzzle in Ethiopia and as congestion continues to increase on the nation’s roadways, commuters continue to flock to public transit as an alternative transportation mode. In Addis Ababa Light Rail Transit, there are over 20 level crossings, this represent a significant safety hazard to both road and rail users. In this paper, we used safety demonstration by complete system analysis to carry out safety demonstration for level crossing at Addis Ababa Light Rail Transit, and Failure mode effect analysis was used for identifying the potential hazards associated with the system and their root causes. Hazards associated with Addis Ababa Light Rail Transit level crossing are identified and classified, and results showed that 41% of the hazards are caused by Human errors, technical problems has 32%, non-compliance with standard operating procedures takes 18% and 9% are caused by other factors. Our Failure mode effect analysis result shows that safe redesign of the level crossing, management and operation of level crossings can reduce risks, and frequent orientation of road vehicle users to always give attention to traffic signal in level crossing can reduce the number of fatal and serious incidents and collisions.

scholarly journals The governance of Addis Ababa Light Rail Transit

2021 ◽  
Author(s):  
Meseret Kassahun
Keyword(s):  
Addis Ababa ◽  
Light Rail ◽  
Rail Transit ◽  
Light Rail Transit ◽  
African Cities

Chapter 11 in the book Refractions of the National, the Popular and the Global in African Cities.

scholarly journals Service Quality of Addis Ababa Light Rail Transit: Passengers’ Views and Perspectives

2020 ◽  
Vol 6 (4) ◽  
pp. 231-243
Author(s):  
Adane Obsie ◽  
Mintesnot Woldeamanuel ◽  
Berhanu Woldetensae
Keyword(s):  
Factor Analysis ◽  
Service Quality ◽  
User Satisfaction ◽  
Local Governments ◽  
Service Providers ◽  
Addis Ababa ◽  
Light Rail ◽  
Rail Transit ◽  
Light Rail Transit

AbstractUnderstanding the service quality of public transportation based on users’ perception is an important input for local governments and transit service providers in their planning efforts to improve system performance. Using the Addis Ababa Light Rail Transit (AALRT) as a case, this study aims to examine service users' views and perspectives by using 18 quality attributes. Factor analysis and ordered logit model were employed for this study. Factor analysis with principal components was used to extract the most important factors of satisfaction from the 18 attributes. The results showed that safety and security, ticketing system, travel information, crowdedness, frequency, cleanliness, and comfort are the most important factors influencing user satisfaction. The level of importance of these factors varies depending on different socioeconomic and travel characteristics of AALRT users. Riders who use the light rail at afternoon peak hours, have high household income and short travel duration, and use LRT for shopping purposes have a negative perception regarding the crowdedness, frequency, ticketing, and information system of the AALRT. Passengers with longer travel distance, those who use the AALRT frequently, and full- or part-time workers and students have a positive perception towards several attributes of the system.

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