Modeling the impact of dock-less bike-sharing system on outpatient trips

Yuyang Zhou; Minhe Zhao; William H.K. Lam; Anthony Chen; N. N. Sze; Songtao Tang; Yanyan Chen; Tianhui Zhang

doi:10.1016/j.scs.2021.102853

Modeling the impact of dock-less bike-sharing system on outpatient trips

Yuyang Zhou
, Minhe Zhao
, William H.K. Lam
, Anthony Chen
, N. N. Sze
, Songtao Tang
, Yanyan Chen
, Tianhui Zhang

Research output: Journal article publication › Journal article › Academic research › peer-review

13 Citations (Scopus)

Abstract

Better transportation and medical service systems contribute to urban sustainable development. Dock-less bike-sharing system (DLBS) is an innovative, sustainable, and flexible travel mode that has been a worldwide spread. This paper addresses a pioneer research aims to explore the characteristics of DLBS usage in outpatient trips and its impacts on travelers’ mode choice behavior. The data sources include the survey at Beijing Friendship Hospital and the trip data from a DLBS company. The research results show that DLBS has evidently decreased the private bike usage by over one third and become a replacement. It is also an important feeder mode for public transport service to the medical service. Among 1,348 DLBS usage in outpatient trips, more than 40 % trip transactions are connecting the hospital and public transport stations. Over 70 % travelers ride DLBS only in a single trip while having other activity purpose after leaving the hospital. Multinomial logit (MNL) model is used to investigate the factors that influence the DLBS daily usage. Education and online payment have positive effects. This study can be extended to DLBS usage in other trips with similar characteristics such as appointment-based, short-duration, and multiple activities.

Original language	English
Article number	102853
Journal	Sustainable Cities and Society
Volume	69
DOIs	https://doi.org/10.1016/j.scs.2021.102853
Publication status	Published - Jun 2021

UN SDGs

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

SDG 7 Affordable and Clean Energy
SDG 11 Sustainable Cities and Communities

Keywords

Dock-less bike-sharing (DLBS)
Multinomial logit (MNL) model
Outpatient trip
Survey data
Trip data

ASJC Scopus subject areas

Geography, Planning and Development
Civil and Structural Engineering
Renewable Energy, Sustainability and the Environment
Transportation

More information

10.1016/j.scs.2021.102853

http://hdl.handle.net/10397/98024

Cite this

@article{5365fe2fedb34905a74a7c4af9a5e400,

title = "Modeling the impact of dock-less bike-sharing system on outpatient trips",

abstract = "Better transportation and medical service systems contribute to urban sustainable development. Dock-less bike-sharing system (DLBS) is an innovative, sustainable, and flexible travel mode that has been a worldwide spread. This paper addresses a pioneer research aims to explore the characteristics of DLBS usage in outpatient trips and its impacts on travelers{\textquoteright} mode choice behavior. The data sources include the survey at Beijing Friendship Hospital and the trip data from a DLBS company. The research results show that DLBS has evidently decreased the private bike usage by over one third and become a replacement. It is also an important feeder mode for public transport service to the medical service. Among 1,348 DLBS usage in outpatient trips, more than 40 \% trip transactions are connecting the hospital and public transport stations. Over 70 \% travelers ride DLBS only in a single trip while having other activity purpose after leaving the hospital. Multinomial logit (MNL) model is used to investigate the factors that influence the DLBS daily usage. Education and online payment have positive effects. This study can be extended to DLBS usage in other trips with similar characteristics such as appointment-based, short-duration, and multiple activities.",

keywords = "Dock-less bike-sharing (DLBS), Multinomial logit (MNL) model, Outpatient trip, Survey data, Trip data",

author = "Yuyang Zhou and Minhe Zhao and Lam, \{William H.K.\} and Anthony Chen and Sze, \{N. N.\} and Songtao Tang and Yanyan Chen and Tianhui Zhang",

note = "Funding Information: This work was supported in part by National Key Research and Development Program of China (No. 2018YFB1600900), Beijing Natural Science Foundation Program (No. L181002), Beijing Municipal Education Commission, the General Program of Science and Technology (No. KM201810005017), and the Research Committee of the Hong Kong Polytechnic University (4-ZZFY), for a joint research project with Beijing University of Technology. The authors appreciate the kind assistant from Beijing Friendship Hospital for the survey in two years. The authors sincerely thank Prof. Chandra Bhat for his valuable and detail suggestions on this paper, at the seminar and meetings at HK PolyU in the summer of 2018. The authors in BJUT thank our colleague Dr. Jie Xiong for the discussion on survey design in 2016. Funding Information: This work was supported in part by National Key Research and Development Program of China (No. 2018YFB1600900 ), Beijing Natural Science Foundation Program (No. L181002 ), Beijing Municipal Education Commission, the General Program of Science and Technology (No. KM201810005017 ), and the Research Committee of the Hong Kong Polytechnic University ( 4-ZZFY ), for a joint research project with Beijing University of Technology. The authors appreciate the kind assistant from Beijing Friendship Hospital for the survey in two years. The authors sincerely thank Prof. Chandra Bhat for his valuable and detail suggestions on this paper, at the seminar and meetings at HK PolyU in the summer of 2018. The authors in BJUT thank our colleague Dr. Jie Xiong for the discussion on survey design in 2016. Publisher Copyright: {\textcopyright} 2021 Elsevier Ltd",

year = "2021",

month = jun,

doi = "10.1016/j.scs.2021.102853",

language = "English",

volume = "69",

journal = "Sustainable Cities and Society",

issn = "2210-6707",

publisher = "Elsevier Ltd",

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T1 - Modeling the impact of dock-less bike-sharing system on outpatient trips

AU - Zhou, Yuyang

AU - Zhao, Minhe

AU - Lam, William H.K.

AU - Chen, Anthony

AU - Sze, N. N.

AU - Tang, Songtao

AU - Chen, Yanyan

AU - Zhang, Tianhui

N1 - Funding Information: This work was supported in part by National Key Research and Development Program of China (No. 2018YFB1600900), Beijing Natural Science Foundation Program (No. L181002), Beijing Municipal Education Commission, the General Program of Science and Technology (No. KM201810005017), and the Research Committee of the Hong Kong Polytechnic University (4-ZZFY), for a joint research project with Beijing University of Technology. The authors appreciate the kind assistant from Beijing Friendship Hospital for the survey in two years. The authors sincerely thank Prof. Chandra Bhat for his valuable and detail suggestions on this paper, at the seminar and meetings at HK PolyU in the summer of 2018. The authors in BJUT thank our colleague Dr. Jie Xiong for the discussion on survey design in 2016. Funding Information: This work was supported in part by National Key Research and Development Program of China (No. 2018YFB1600900 ), Beijing Natural Science Foundation Program (No. L181002 ), Beijing Municipal Education Commission, the General Program of Science and Technology (No. KM201810005017 ), and the Research Committee of the Hong Kong Polytechnic University ( 4-ZZFY ), for a joint research project with Beijing University of Technology. The authors appreciate the kind assistant from Beijing Friendship Hospital for the survey in two years. The authors sincerely thank Prof. Chandra Bhat for his valuable and detail suggestions on this paper, at the seminar and meetings at HK PolyU in the summer of 2018. The authors in BJUT thank our colleague Dr. Jie Xiong for the discussion on survey design in 2016. Publisher Copyright: © 2021 Elsevier Ltd

PY - 2021/6

Y1 - 2021/6

N2 - Better transportation and medical service systems contribute to urban sustainable development. Dock-less bike-sharing system (DLBS) is an innovative, sustainable, and flexible travel mode that has been a worldwide spread. This paper addresses a pioneer research aims to explore the characteristics of DLBS usage in outpatient trips and its impacts on travelers’ mode choice behavior. The data sources include the survey at Beijing Friendship Hospital and the trip data from a DLBS company. The research results show that DLBS has evidently decreased the private bike usage by over one third and become a replacement. It is also an important feeder mode for public transport service to the medical service. Among 1,348 DLBS usage in outpatient trips, more than 40 % trip transactions are connecting the hospital and public transport stations. Over 70 % travelers ride DLBS only in a single trip while having other activity purpose after leaving the hospital. Multinomial logit (MNL) model is used to investigate the factors that influence the DLBS daily usage. Education and online payment have positive effects. This study can be extended to DLBS usage in other trips with similar characteristics such as appointment-based, short-duration, and multiple activities.

AB - Better transportation and medical service systems contribute to urban sustainable development. Dock-less bike-sharing system (DLBS) is an innovative, sustainable, and flexible travel mode that has been a worldwide spread. This paper addresses a pioneer research aims to explore the characteristics of DLBS usage in outpatient trips and its impacts on travelers’ mode choice behavior. The data sources include the survey at Beijing Friendship Hospital and the trip data from a DLBS company. The research results show that DLBS has evidently decreased the private bike usage by over one third and become a replacement. It is also an important feeder mode for public transport service to the medical service. Among 1,348 DLBS usage in outpatient trips, more than 40 % trip transactions are connecting the hospital and public transport stations. Over 70 % travelers ride DLBS only in a single trip while having other activity purpose after leaving the hospital. Multinomial logit (MNL) model is used to investigate the factors that influence the DLBS daily usage. Education and online payment have positive effects. This study can be extended to DLBS usage in other trips with similar characteristics such as appointment-based, short-duration, and multiple activities.

KW - Dock-less bike-sharing (DLBS)

KW - Multinomial logit (MNL) model

KW - Outpatient trip

KW - Survey data

KW - Trip data

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DO - 10.1016/j.scs.2021.102853

M3 - Journal article

AN - SCOPUS:85103125110

SN - 2210-6707

VL - 69

JO - Sustainable Cities and Society

JF - Sustainable Cities and Society

M1 - 102853

ER -

Modeling the impact of dock-less bike-sharing system on outpatient trips

Abstract

UN SDGs

Keywords

ASJC Scopus subject areas

More information

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