Modeling of passengers’ safety perception for buses on mountainous roads

Document Type

Journal Article

Publication Date

2018

Subject Area

mode - bus, ridership - perceptions, planning - safety/accidents, infrastructure - vehicle, technology - geographic information systems, ridership - drivers, ridership - behaviour

Keywords

Bus accident, Bayesian network, Traffic safety

Abstract

This study had developed a passenger safety perception model specifically for buses taking into consideration the various factors, namely driver characteristics, environmental conditions, and bus characteristics using Bayesian Network. The behaviour of bus driver is observed through the bus motion profile, measured in longitudinal, lateral, and vertical accelerations. The road geometry is recorded using GPS and is computed with the aid of the Google map while the perceived bus safety is rated by the passengers in the bus in real time. A total of 13 variables were derived and used in the model development. The developed Bayesian Network model shows that the type of bus and the experience of the driver on the investigated route could have an influence on passenger’s perception of their safety on buses. Road geometry is an indirect influencing factor through the driver’s behavior. The findings of this model are useful for the authorities to structure an effective strategy to improve the level of perceived bus safety. A high level of bus safety will definitely boost passenger usage confidence which will subsequently increase ridership.

Rights

Permission to publish the abstract has been given by Elsevier, copyright remains with them.

Comments

Accident Analysis and Prevention Home Page:

http://www.sciencedirect.com/science/journal/00014575

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