TY - GEN
T1 - Modeling the Travel Mode Choice for Outpatient Trips before and after Bike-Sharing in Beijing
AU - Zhou, Yuyang
AU - Tang, Songtao
AU - Zhao, Minhe
AU - Lam, William H.K.
AU - Sze, Tony N.N.
AU - Chen, Yanyan
PY - 2018/12/7
Y1 - 2018/12/7
N2 - Both of the transportation and the public hospital outpatient services are the key public services provided by the government, which guarantee the safe, healthy and worthwhile life for daily living in metropolitan cities such as Beijing and Hong Kong. Since the citizens usually have to see their medical doctors at the appointed time, they should arrive punctually as scheduled for their outpatient services in public hospitals. In order to find out how people travel to the public hospitals for their scheduled outpatient appointments particularly before and after the bike-sharing system in Beijing, two interview surveys with a total of 1,047 valid samples were conducted at the Beijing Friendship Hospital in October 2016 and 2017. One was before the launch of the floating bike-sharing system in November 2016 while the other one was conducted in October 2017 after this new system has been implemented in Beijing for about one year. Compared to the other non-motorized travel modes, the bike-sharing mode could provide the best trip experience with the highest evaluation scores on the satisfaction, the comfort, the convenience and the punctuality of the outpatient trips. Multinomial Logit (MNL) model is calibrated to investigate the factors to influence the travel mode choice for outpatient trips. The results show that the outpatient travelers are likely to choose the bike-sharing mode for their return outpatient visits at public hospitals in Beijing. Other factors like online map-usage, the acceptable maximum walking time and cycling time, the weekend appointment for outpatient services and the household income have positive impacts on the choice of the bike-sharing mode.
AB - Both of the transportation and the public hospital outpatient services are the key public services provided by the government, which guarantee the safe, healthy and worthwhile life for daily living in metropolitan cities such as Beijing and Hong Kong. Since the citizens usually have to see their medical doctors at the appointed time, they should arrive punctually as scheduled for their outpatient services in public hospitals. In order to find out how people travel to the public hospitals for their scheduled outpatient appointments particularly before and after the bike-sharing system in Beijing, two interview surveys with a total of 1,047 valid samples were conducted at the Beijing Friendship Hospital in October 2016 and 2017. One was before the launch of the floating bike-sharing system in November 2016 while the other one was conducted in October 2017 after this new system has been implemented in Beijing for about one year. Compared to the other non-motorized travel modes, the bike-sharing mode could provide the best trip experience with the highest evaluation scores on the satisfaction, the comfort, the convenience and the punctuality of the outpatient trips. Multinomial Logit (MNL) model is calibrated to investigate the factors to influence the travel mode choice for outpatient trips. The results show that the outpatient travelers are likely to choose the bike-sharing mode for their return outpatient visits at public hospitals in Beijing. Other factors like online map-usage, the acceptable maximum walking time and cycling time, the weekend appointment for outpatient services and the household income have positive impacts on the choice of the bike-sharing mode.
KW - bike-sharing
KW - Multinomial Logit Model
KW - outpatient trip
KW - survey
UR - http://www.scopus.com/inward/record.url?scp=85060472263&partnerID=8YFLogxK
U2 - 10.1109/ITSC.2018.8569248
DO - 10.1109/ITSC.2018.8569248
M3 - Conference article published in proceeding or book
AN - SCOPUS:85060472263
T3 - IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
SP - 242
EP - 247
BT - 2018 IEEE Intelligent Transportation Systems Conference, ITSC 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 21st IEEE International Conference on Intelligent Transportation Systems, ITSC 2018
Y2 - 4 November 2018 through 7 November 2018
ER -
