Assessing the effect of a light rail transit system on road traffic travel time reliability

2020 ◽  
Vol 12 (2) ◽  
pp. 313-333 ◽  
Author(s):  
Sonu Mathew ◽  
Srinivas S. Pulugurtha
Keyword(s):  
Travel Time ◽  
Road Traffic ◽  
Light Rail ◽  
Rail Transit ◽  
Travel Time Reliability ◽  
Light Rail Transit ◽  
Transit System

Identifying the Determinants of Light Rail Mode Choice for Medium- and Long-Distance Trips

2012 ◽  
Vol 2275 (1) ◽  
pp. 30-38 ◽  
Author(s):  
Lieve Creemers ◽  
Mario Cools ◽  
Hans Tormans ◽  
Pieter-Jan Lateur ◽  
Davy Janssens ◽  
...  
Keyword(s):  
Travel Time ◽  
Transport System ◽  
Public Transport ◽  
Mode Choice ◽  
Light Rail ◽  
Rail Transit ◽  
Light Rail Transit ◽  
Long Distance ◽  
Specific Factors ◽  
Vehicle Travel Time

The introduction of new public transport systems can influence society in a multitude of ways ranging from modal choices and the environment to economic growth. This paper examines the determinants of light rail mode choice for medium- and long-distance trips (10 to 40 km) for a new light rail system in Flanders, Belgium. To investigate these choices, the effects of various transport system–specific factors (i.e., travel cost, in-vehicle travel time, transit punctuality, waiting time, access and egress time, transfers, and availability of seats) as well as the travelers' personal traits were analyzed by using an alternating logistic regression model, which explicitly takes into account the correlated responses for binary data. The data used for the analysis stem from a stated preference survey conducted in Flanders. The modeling results are in line with literature: most transport system–specific factors as well as socioeconomic variables, attitudinal factors, perceptions, and the frequency of using public transport contribute significantly to the preference for light rail transit. In particular, the results indicate that the use of light rail is strongly influenced by travel cost and in-vehicle travel time and to a lesser extent by waiting and access–egress time. Seat availability appeared to play a more important role than did transfers in deciding to choose light rail transit. The findings of this paper can be used by policy makers as a frame of reference to make light rail transit more successful.

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.

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