Abstract This paper is part of a long-term research project on Advanced Public Transportation System (APTS), taking place in Macau, a city ranked 8 in the list of the world’s most overcrowded cities as at September 2016 [1]. At this stage, a study of Macau’s bus passenger profile is presented, based on their mobility method and pattern, their view of bus services and bus drivers’ driving behavior and their own driving profile. Data was collected using a comprehensive online questionnaire survey with close-ended questions. The goal of this survey is to characterize the profile of the bus passengers in Macau, in particular their risk perception towards driving behavior. Statistical clustering analysis has demonstrated that risk perception is dependent on age, driving experience and other social factors.
Assessing Driving Behavior in Macau Public Transportation Through Mobile Crowd Sensing: A Study of the Macau Bus Passenger Profile
2018-01-01
9 pages
Article/Chapter (Book)
Electronic Resource
English
Bus passenger profile , Risk perception , Crowdsourcing , Driving behavior , Smart city , Mobile Crowd Sensing , Advanced Public Transportation System Software Engineering/Programming and Operating Systems , Computer Applications , Artificial Intelligence (incl. Robotics) , Computer Communication Networks , Computing Milieux , Computer Science , Computer Imaging, Vision, Pattern Recognition and Graphics
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