TY - JOUR
T1 - Commuter value perceptions in peak avoidance behavior
T2 - An empirical study in the Beijing subway system
AU - Wang, Yu
AU - Wang, Yacan
AU - Ettema, Dick
AU - Mao, Zidan
AU - Charlton, Samuel G.
AU - Zhou, Huiyu
N1 - Funding Information:
This study is supported by the joint project of the National Natural Science Foundation of China and the Joint Programming Initiative Urban Europe (NSFC – JPI UE), China part [grant number ‘U-PASS’ 71961137005 ], a major project of the Social Science Foundation of Beijing [grant number 16JDYJA008 ], the National Natural Science Foundation of China, China [grant number 61602028 ] and the Fundamental Research Funds for the Central Universities, China [grant number 2018JBWB003 ]. Finally, we would like to express our gratitude to the editor in chief and three reviewers for their constructive and professional comments.
Publisher Copyright:
© 2020 Elsevier Ltd
PY - 2020/9
Y1 - 2020/9
N2 - Peak-avoidance has been suggested as a strategy to ease congestion and improve the travel experience in the road traffic system. However, commuters’ trade-offs when choosing whether to avoid the peak in the context of subway use have not yet been explored. In highly concentrated megacities, high demand during peak hours in the subway leads to long queues waiting to enter stations or platforms, as well as crowded trains, which yields highly negative externalities. This paper contextualizes and incorporates commuters’ perceived value as a theoretical basis to explain how perceived benefits and perceived sacrifices affect commuters’ intentions to avoid the peak in subway systems. A hybrid model was constructed to incorporate the perceived benefits and perceived sacrifices as latent variables to understand peak-avoidance behavior. Social norms, previous habits, and personal subjective feelings have significant impacts on subway commuters’ peak-avoidance decisions. In addition, our combined model improved the explanatory power compared to a traditional ordered logit model. The framework can be used as a theoretical basis for further development of behavioral research into commuters’ decision-making. Finally, these findings provide meaningful guidance for the government and subway companies to encourage travelers to avoid rush hours effectively.
AB - Peak-avoidance has been suggested as a strategy to ease congestion and improve the travel experience in the road traffic system. However, commuters’ trade-offs when choosing whether to avoid the peak in the context of subway use have not yet been explored. In highly concentrated megacities, high demand during peak hours in the subway leads to long queues waiting to enter stations or platforms, as well as crowded trains, which yields highly negative externalities. This paper contextualizes and incorporates commuters’ perceived value as a theoretical basis to explain how perceived benefits and perceived sacrifices affect commuters’ intentions to avoid the peak in subway systems. A hybrid model was constructed to incorporate the perceived benefits and perceived sacrifices as latent variables to understand peak-avoidance behavior. Social norms, previous habits, and personal subjective feelings have significant impacts on subway commuters’ peak-avoidance decisions. In addition, our combined model improved the explanatory power compared to a traditional ordered logit model. The framework can be used as a theoretical basis for further development of behavioral research into commuters’ decision-making. Finally, these findings provide meaningful guidance for the government and subway companies to encourage travelers to avoid rush hours effectively.
KW - Beijing subway
KW - Peak-avoidance
KW - Perceived value
UR - http://www.scopus.com/inward/record.url?scp=85087959329&partnerID=8YFLogxK
U2 - 10.1016/j.tra.2020.07.001
DO - 10.1016/j.tra.2020.07.001
M3 - Article
AN - SCOPUS:85087959329
SN - 0965-8564
VL - 139
SP - 70
EP - 84
JO - Transportation Research Part A: Policy and Practice
JF - Transportation Research Part A: Policy and Practice
ER -