TY - JOUR
T1 - Personalized Multimodal Travel Service Design for sustainable intercity transport
AU - Xu, Gangyan
AU - Zhang, Ruibing
AU - Xu, Su Xiu
AU - Kou, Xiaofei
AU - Qiu, Xuan
N1 - Funding Information:
This work is supported by National Natural Science Foundation of China (71804034,72071093,91846301), the Science and Technology Innovation Committee of Shenzhen (JCYJ20180306171958907), the Pearl River Talent Recruitment Project of Guangdong (2017GC010445), the 2019 Guangdong Special Support Talent Program?Innovation and Entrepreneurship Leading Team (China) (2019BT02S593), the Startup Foundation for High-Level Talents of Harbin Institute of Technology, Shenzhen, and the Science and Technology Research Project of Henan Province (212102310059).
Funding Information:
This work is supported by National Natural Science Foundation of China ( 71804034 , 72071093 , 91846301 ), the Science and Technology Innovation Committee of Shenzhen ( JCYJ20180306171958907 ), the Pearl River Talent Recruitment Project of Guangdong ( 2017GC010445 ), the 2019 Guangdong Special Support Talent Program–Innovation and Entrepreneurship Leading Team (China) ( 2019BT02S593 ), the Startup Foundation for High-Level Talents of Harbin Institute of Technology , Shenzhen , and the Science and Technology Research Project of Henan Province ( 212102310059 ).
Publisher Copyright:
© 2021 Elsevier Ltd
PY - 2021/7/25
Y1 - 2021/7/25
N2 - Efficient multimodal public transport has been recognized as an effective solution for realizing sustainable intercity transport. However, it has not been well accepted by the general public due to the poor coordination among transport modes, inconvenience caused by transfers, difficulties on route plannings, etc. To address the problem and facilitate the popularity of multimodal intercity travel, this research proposed the design of personalized multimodal travel service based on SPSS (Smart Product Service System). It not only could provide multimodal route recommendations based on individual preferences, but also could improve its performance along usage. Meanwhile, the influencing factors of multimodal intercity travel is investigated, based on which the travel choice model is developed. Besides, a few-short learning method was proposed, which could mine the individual preference even from limited historical travel data. Finally, an experimental case study was conducted that demonstrates the effectiveness of the proposed solution.
AB - Efficient multimodal public transport has been recognized as an effective solution for realizing sustainable intercity transport. However, it has not been well accepted by the general public due to the poor coordination among transport modes, inconvenience caused by transfers, difficulties on route plannings, etc. To address the problem and facilitate the popularity of multimodal intercity travel, this research proposed the design of personalized multimodal travel service based on SPSS (Smart Product Service System). It not only could provide multimodal route recommendations based on individual preferences, but also could improve its performance along usage. Meanwhile, the influencing factors of multimodal intercity travel is investigated, based on which the travel choice model is developed. Besides, a few-short learning method was proposed, which could mine the individual preference even from limited historical travel data. Finally, an experimental case study was conducted that demonstrates the effectiveness of the proposed solution.
KW - Multimodal transport intercity transport personalized service design mobility as a service (MaaS) smart product service system (SPSS)
UR - http://www.scopus.com/inward/record.url?scp=85105567741&partnerID=8YFLogxK
U2 - 10.1016/j.jclepro.2021.127367
DO - 10.1016/j.jclepro.2021.127367
M3 - Journal article
AN - SCOPUS:85105567741
SN - 0959-6526
VL - 308
JO - Journal of Cleaner Production
JF - Journal of Cleaner Production
M1 - 127367
ER -
