Research Article
Assessing Driving Behavior in Macau Public Transportation Through Mobile Crowd Sensing: A Study of the Macau Bus Passenger Profile
@INPROCEEDINGS{10.1007/978-3-319-93710-6_4, author={Fei Ma and Sok T\^{o}ng and Tak Cheang and Jo\"{a}o Cordeiro}, title={Assessing Driving Behavior in Macau Public Transportation Through Mobile Crowd Sensing: A Study of the Macau Bus Passenger Profile}, proceedings={Intelligent Transport Systems -- From Research and Development to the Market Uptake. First International Conference, INTSYS 2017, Hyvink\aa{}\aa{}, Finland, November 29-30, 2017, Proceedings}, proceedings_a={INTSYS}, year={2018}, month={7}, keywords={Driving behavior Risk perception Crowdsourcing Mobile Crowd Sensing Bus passenger profile Advanced Public Transportation System Smart city}, doi={10.1007/978-3-319-93710-6_4} }- Fei Ma
Sok Tóng
Tak Cheang
João Cordeiro
Year: 2018
Assessing Driving Behavior in Macau Public Transportation Through Mobile Crowd Sensing: A Study of the Macau Bus Passenger Profile
INTSYS
Springer
DOI: 10.1007/978-3-319-93710-6_4
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.