Assessing driving behavior in Macau public transportation through mobile crowd sensing: a study of the Macau bus passenger profile

Fei Chun Ma; Sok Hán Tóng; Tak Son Cheang; João Cordeiro

doi:10.1007/978-3-319-93710-6_4

Assessing driving behavior in Macau public transportation through mobile crowd sensing: a study of the Macau bus passenger profile

Fei Chun Ma^*, Sok Hán Tóng, Tak Son Cheang, João Cordeiro

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

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.

Original language	English
Title of host publication	Intelligent transport systems – from research and development to the market uptake
Subtitle of host publication	1st International Conference, INTSYS 2017, Proceedings
Editors	Tatiana Kovacikova, Ľubos Buzna, Ghadir Pourhashem, Giuseppe Lugano, Yannick Cornet, Nathalie Lugano
Publisher	Springer Verlag
Pages	31-39
Number of pages	9
ISBN (Electronic)	97833199337106
ISBN (Print)	9783319937090
DOIs	https://doi.org/10.1007/978-3-319-93710-6_4
Publication status	Published - 2018
Externally published	Yes
Event	1st International Conference on Intelligent Transport Systems, INTSYS 2017 - Hyvinkaa, Finland Duration: 29 Nov 2017 → 30 Nov 2017

Publication series

Name	Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume	222
ISSN (Print)	1867-8211

Conference

Conference	1st International Conference on Intelligent Transport Systems, INTSYS 2017
Country/Territory	Finland
City	Hyvinkaa
Period	29/11/17 → 30/11/17

Keywords

Advanced public transportation systems
Bus passenger profile
Crowdsourcing
Driving behavior
Mobile crowd sensing
Risk perception
Smart city

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-319-93710-6_4

Cite this

Ma, F. C., Tóng, S. H., Cheang, T. S., & Cordeiro, J. (2018). Assessing driving behavior in Macau public transportation through mobile crowd sensing: a study of the Macau bus passenger profile. In T. Kovacikova, Ľ. Buzna, G. Pourhashem, G. Lugano, Y. Cornet, & N. Lugano (Eds.), Intelligent transport systems – from research and development to the market uptake: 1st International Conference, INTSYS 2017, Proceedings (pp. 31-39). (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 222). Springer Verlag. https://doi.org/10.1007/978-3-319-93710-6_4

Ma, Fei Chun ; Tóng, Sok Hán ; Cheang, Tak Son et al. / Assessing driving behavior in Macau public transportation through mobile crowd sensing : a study of the Macau bus passenger profile. Intelligent transport systems – from research and development to the market uptake: 1st International Conference, INTSYS 2017, Proceedings. editor / Tatiana Kovacikova ; Ľubos Buzna ; Ghadir Pourhashem ; Giuseppe Lugano ; Yannick Cornet ; Nathalie Lugano. Springer Verlag, 2018. pp. 31-39 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST).

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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{\textquoteright}s most overcrowded cities as at September 2016 [1]. At this stage, a study of Macau{\textquoteright}s bus passenger profile is presented, based on their mobility method and pattern, their view of bus services and bus drivers{\textquoteright} 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.",

keywords = "Advanced public transportation systems, Bus passenger profile, Crowdsourcing, Driving behavior, Mobile crowd sensing, Risk perception, Smart city",

author = "Ma, {Fei Chun} and T{\'o}ng, {Sok H{\'a}n} and Cheang, {Tak Son} and Jo{\~a}o Cordeiro",

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editor = "Tatiana Kovacikova and {\v L}ubos Buzna and Ghadir Pourhashem and Giuseppe Lugano and Yannick Cornet and Nathalie Lugano",

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Ma, FC, Tóng, SH, Cheang, TS & Cordeiro, J 2018, Assessing driving behavior in Macau public transportation through mobile crowd sensing: a study of the Macau bus passenger profile. in T Kovacikova, Ľ Buzna, G Pourhashem, G Lugano, Y Cornet & N Lugano (eds), Intelligent transport systems – from research and development to the market uptake: 1st International Conference, INTSYS 2017, Proceedings. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, vol. 222, Springer Verlag, pp. 31-39, 1st International Conference on Intelligent Transport Systems, INTSYS 2017, Hyvinkaa, Finland, 29/11/17. https://doi.org/10.1007/978-3-319-93710-6_4

Assessing driving behavior in Macau public transportation through mobile crowd sensing: a study of the Macau bus passenger profile. / Ma, Fei Chun; Tóng, Sok Hán; Cheang, Tak Son et al.
Intelligent transport systems – from research and development to the market uptake: 1st International Conference, INTSYS 2017, Proceedings. ed. / Tatiana Kovacikova; Ľubos Buzna; Ghadir Pourhashem; Giuseppe Lugano; Yannick Cornet; Nathalie Lugano. Springer Verlag, 2018. p. 31-39 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 222).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Assessing driving behavior in Macau public transportation through mobile crowd sensing

T2 - 1st International Conference on Intelligent Transport Systems, INTSYS 2017

AU - Ma, Fei Chun

AU - Tóng, Sok Hán

AU - Cheang, Tak Son

AU - Cordeiro, João

N1 - Publisher Copyright: © ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2018.

PY - 2018

Y1 - 2018

N2 - 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.

AB - 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.

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AN - SCOPUS:85049962779

SN - 9783319937090

T3 - Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST

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BT - Intelligent transport systems – from research and development to the market uptake

A2 - Kovacikova, Tatiana

A2 - Buzna, Ľubos

A2 - Pourhashem, Ghadir

A2 - Lugano, Giuseppe

A2 - Cornet, Yannick

A2 - Lugano, Nathalie

PB - Springer Verlag

Y2 - 29 November 2017 through 30 November 2017

ER -

Ma FC, Tóng SH, Cheang TS, Cordeiro J. Assessing driving behavior in Macau public transportation through mobile crowd sensing: a study of the Macau bus passenger profile. In Kovacikova T, Buzna Ľ, Pourhashem G, Lugano G, Cornet Y, Lugano N, editors, Intelligent transport systems – from research and development to the market uptake: 1st International Conference, INTSYS 2017, Proceedings. Springer Verlag. 2018. p. 31-39. (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST). doi: 10.1007/978-3-319-93710-6_4

Assessing driving behavior in Macau public transportation through mobile crowd sensing: a study of the Macau bus passenger profile

Abstract

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Keywords

UN SDGs

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