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Title:

Commuter Arrival Time Value Function in Urban Rail Transit

Accession Number:

01664605

Record Type:

Component

Abstract:

The passenger distribution of urban mass transit network is influenced by two kinds of choice, route choice and departure time choice. However, the latter choice has been ignored for a long time. For commuters with specified destination arrival time, the departure time choice is actually a trade-off between the perceived crowdedness and arrival time value. To obtain a better understanding of the influencing factors and mechanism of commuter arrival time value, the paper tries to introduce the value function of prospect theory. Several reference point alternatives are discussed and parameters are estimated with the empirical data from Shanghai, China. Results show that commuters show asymmetrical response to gains and losses, being more sensitive to the latter one, which is consistent with prospect theory. The time when a commuter starts to consider departing later and work/school start time are two reference points of arrival time value function in urban mass transit, and commuters are reluctant to switch their departure time even when they arrive at reference points. The optimal simplified value function fits the data well and hits as much as 86.45% of the sample

Supplemental Notes:

This paper was sponsored by TRB committee AP065 Standing Committee on Rail Transit Systems.

Report/Paper Numbers:

18-02321

Language:

English

Authors:

Cheng, Yan
Ye, Xiafei
Wang, Zhi

Pagination:

14p

Publication Date:

2018

Conference:

Transportation Research Board 97th Annual Meeting

Location: Washington DC, United States
Date: 2018-1-7 to 2018-1-11
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References; Tables

Uncontrolled Terms:

Geographic Terms:

Subject Areas:

Passenger Transportation; Planning and Forecasting; Public Transportation

Source Data:

Transportation Research Board Annual Meeting 2018 Paper #18-02321

Files:

TRIS, TRB, ATRI

Created Date:

Jan 8 2018 10:34AM