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

^*Autor correspondente para este trabalho

Resultado de pesquisa › revisão de pares

1 Citação (Scopus)

Resumo

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.

Idioma original	English
Título da publicação do anfitrião	Intelligent transport systems – from research and development to the market uptake
Subtítulo da publicação do anfitrião	1st International Conference, INTSYS 2017, Proceedings
Editores	Tatiana Kovacikova, Ľubos Buzna, Ghadir Pourhashem, Giuseppe Lugano, Yannick Cornet, Nathalie Lugano
Editora	Springer Verlag
Páginas	31-39
Número de páginas	9
ISBN (eletrónico)	97833199337106
ISBN (impresso)	9783319937090
DOIs	https://doi.org/10.1007/978-3-319-93710-6_4
Estado da publicação	Publicado - 2018
Publicado externamente	Sim
Evento	1st International Conference on Intelligent Transport Systems, INTSYS 2017 - Hyvinkaa Duração: 29 nov. 2017 → 30 nov. 2017

Série de publicação

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

Conferência

Conferência	1st International Conference on Intelligent Transport Systems, INTSYS 2017
País/Território	Finland
Cidade	Hyvinkaa
Período	29/11/17 → 30/11/17

ODS da ONU

Este resultado contribui para o(s) seguinte(s) Objetivo(s) de Desenvolvimento Sustentável

ODS 9 Indústria, inovação e infraestrutura
ODS 11 Cidades e comunidades sustentáveis

Acesso ao documento

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

Outros arquivos e links

Link to publication in Scopus

Citação

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. Em 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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title = "Assessing driving behavior in Macau public transportation through mobile crowd sensing: a study of the Macau bus passenger profile",

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. em 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).

Resultado de pesquisa › revisão de pares

TY - GEN

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.

KW - Advanced public transportation systems

KW - Bus passenger profile

KW - Crowdsourcing

KW - Driving behavior

KW - Mobile crowd sensing

KW - Risk perception

KW - Smart city

UR - https://www.scopus.com/pages/publications/85049962779

U2 - 10.1007/978-3-319-93710-6_4

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

M3 - Conference contribution

AN - SCOPUS:85049962779

SN - 9783319937090

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

SP - 31

EP - 39

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. Em Kovacikova T, Buzna Ľ, Pourhashem G, Lugano G, Cornet Y, Lugano N, editores, 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

Resumo

Série de publicação

Conferência

ODS da ONU

Acesso ao documento

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