Open AccessAnalysis of the departure time choices of metro passengers during peak hours
Author(s) -
Cheng Qian,
Deng Wei,
Ammar Raza Muhammad
Publication year - 2020
Publication title -
iet intelligent transport systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.579
H-Index - 45
eISSN - 1751-9578
pISSN - 1751-956X
DOI - 10.1049/iet-its.2019.0442
Subject(s) - overcrowding , transport engineering , logit , travel time , binary logit model , computer science , operations research , econometrics , engineering , economics , statistics , mathematics , economic growth
In this study, a stated preference (SP) survey based on a D‐efficient experimental design was conducted for the Nanjing Metro to examine the passenger flow and elaborate the heterogeneity of the departure time choice behaviour of metro passengers during peak hours. A latent class logit model was applied to calibrate the data, and the attribute variables were studied using an elasticity analysis. The survey identified four classes of metro passengers in peak hours who have different preferences for the departure time choice. The results show that fixed working hours and arrival time constraints are the major attributes that determine the classification of the passengers, while travel costs and overcrowding are the key factors that affect the departure time choice. However, passengers are more sensitive to metro fares than crowdedness. By reducing travel costs and mitigating overcrowding, passengers’ choice of departure time, especially when deciding whether to depart earlier than usual, was significantly affected. This study aims to provide theoretical support and a basis for decision‐making for metro operation departments to enact passenger flow control strategies.