2022
Yuan, Yalong; Yang, Min; Feng, Tao; Ma, Yafeng; Ren, Yifeng; Ruan, Xinpei
Heterogeneity in the transfer time of air-rail intermodal passengers based on ticket booking data Journal Article
In: Transportation Research Part A: Policy and Practice, vol. 165, pp. 533-552, 2022, ISSN: 0965-8564.
Abstract | Links | BibTeX | Tags: Air-rail integrated service (ARIS), Air-rail passenger, Passenger heterogeneity, Ticket booking data, Transfer time
@article{YUAN2022533,
title = {Heterogeneity in the transfer time of air-rail intermodal passengers based on ticket booking data},
author = {Yalong Yuan and Min Yang and Tao Feng and Yafeng Ma and Yifeng Ren and Xinpei Ruan},
url = {https://www.sciencedirect.com/science/article/pii/S0965856422002580},
doi = {https://doi.org/10.1016/j.tra.2022.09.022},
issn = {0965-8564},
year = {2022},
date = {2022-01-01},
journal = {Transportation Research Part A: Policy and Practice},
volume = {165},
pages = {533-552},
abstract = {Transfer constitutes the weakest link in air-rail integrated services (ARISs). Air-rail passengers face problems such as long transfer times, complex transfer processes and poor transfer experiences, which seriously reduces ARIS competitiveness. The transfer time, as the most direct and objective measurement of transfer behavior, is important in ARIS planning, construction and operation. This paper aims to analyze the influence of transfer time on the use of ARIS using ticket booking data. The air-rail intermodal passengers are classified into three groups according to the social demographical attributes and trip characteristics using a latent class clustering model, namely passengers departing on weekdays for medium- or long-distance trips, passengers departing on weekdays for medium- or short-distance trips and passengers departing during weekends for medium- or long-distance trips. After that, a generalized ordered logistic regression (GOL) model is employed to identify the key factors influencing the transfer behavior of these three passenger groups. The results indicate that ticket-related attributes have the greatest impact on passenger transfer behavior, followed by transfer-related attributes, and operation-related attributes have the least impact. The effects of operation- and transfer-related attributes on transfer behavior among the different passenger groups are similar, but the ticket price, travel distance and travel time impose distinct effects on transfer behavior in the different passenger groups. Finally, some relevant recommendations to improve the ARIS are discussed.},
keywords = {Air-rail integrated service (ARIS), Air-rail passenger, Passenger heterogeneity, Ticket booking data, Transfer time},
pubstate = {published},
tppubtype = {article}
}
Transfer constitutes the weakest link in air-rail integrated services (ARISs). Air-rail passengers face problems such as long transfer times, complex transfer processes and poor transfer experiences, which seriously reduces ARIS competitiveness. The transfer time, as the most direct and objective measurement of transfer behavior, is important in ARIS planning, construction and operation. This paper aims to analyze the influence of transfer time on the use of ARIS using ticket booking data. The air-rail intermodal passengers are classified into three groups according to the social demographical attributes and trip characteristics using a latent class clustering model, namely passengers departing on weekdays for medium- or long-distance trips, passengers departing on weekdays for medium- or short-distance trips and passengers departing during weekends for medium- or long-distance trips. After that, a generalized ordered logistic regression (GOL) model is employed to identify the key factors influencing the transfer behavior of these three passenger groups. The results indicate that ticket-related attributes have the greatest impact on passenger transfer behavior, followed by transfer-related attributes, and operation-related attributes have the least impact. The effects of operation- and transfer-related attributes on transfer behavior among the different passenger groups are similar, but the ticket price, travel distance and travel time impose distinct effects on transfer behavior in the different passenger groups. Finally, some relevant recommendations to improve the ARIS are discussed.
2021
Jiang, Y.; Yu, S.; Guan, W.; Gao, S.; Feng, T.
Ground access behaviour of air-rail passengers: A case study of Dalian ARIS Journal Article
In: Travel Behaviour and Society, vol. 24, 2021, ISSN: 2214367X.
Abstract | Links | BibTeX | Tags: Air-rail integrated service (ARIS), Dalian Zhoushuizi International Airport, Ground access behaviour, Unbalanced panel data mixed multinomial logit mode
@article{Jiang2021,
title = {Ground access behaviour of air-rail passengers: A case study of Dalian ARIS},
author = {Y. Jiang and S. Yu and W. Guan and S. Gao and T. Feng},
doi = {10.1016/j.tbs.2021.03.006},
issn = {2214367X},
year = {2021},
date = {2021-01-01},
journal = {Travel Behaviour and Society},
volume = {24},
abstract = {Passenger ground access behaviour greatly impacts the promotion and development of air-rail integrated service (ARIS). However, little is known about people's actual choice behaviours with combined ARIS alternatives. To further understand the decision mechanisms of air-rail passengers, this paper specifically analyses the ground access behaviour of ARIS passengers and identifies key influential factors at the fostering stage when the air and rail services are not integrated. We first introduce the development of ARIS in China, including types of air-rail network synchronization, their development stages and the structure of the total ground access time. Using revealed preference panel data from ARIS passengers at Dalian Airport, a mixed multinomial logit model with unbalanced panel data was estimated while considering group characteristics and the random distribution of the total local dwelling time. It is found that passengers tend to make choices about ARIS alternatives from the perspective of ground access time and not from a perspective of high-speed scheduling. Passengers generally prefer to maintain a longer safety margin time when choosing ARIS alternatives.},
keywords = {Air-rail integrated service (ARIS), Dalian Zhoushuizi International Airport, Ground access behaviour, Unbalanced panel data mixed multinomial logit mode},
pubstate = {published},
tppubtype = {article}
}
Passenger ground access behaviour greatly impacts the promotion and development of air-rail integrated service (ARIS). However, little is known about people’s actual choice behaviours with combined ARIS alternatives. To further understand the decision mechanisms of air-rail passengers, this paper specifically analyses the ground access behaviour of ARIS passengers and identifies key influential factors at the fostering stage when the air and rail services are not integrated. We first introduce the development of ARIS in China, including types of air-rail network synchronization, their development stages and the structure of the total ground access time. Using revealed preference panel data from ARIS passengers at Dalian Airport, a mixed multinomial logit model with unbalanced panel data was estimated while considering group characteristics and the random distribution of the total local dwelling time. It is found that passengers tend to make choices about ARIS alternatives from the perspective of ground access time and not from a perspective of high-speed scheduling. Passengers generally prefer to maintain a longer safety margin time when choosing ARIS alternatives.