01763542

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https://annualmeeting.myt...nlineProgram/Details/15794

Bus routes are continuously adjusted in response to a city’s development and structural change. This study focuses on relatively frequent route adjustments in a corridor level rather than restricting the whole system in a city. The effects of route adjustment can be measured by changes in both operator and passenger costs. This paper provides a method to predict transit travel choice reflecting transfer penalties based on trip-chain smart card data and stated preference (SP) survey data. In particular, scheduling elements are collected from trip-chain data and transfer penalties are obtained via SP survey. Based on a bus route adjustment model, an incremental multinomial logit model is used to forecast travel. As a case study, a route separation case in Seoul, Korea, is analyzed. Combining empirical data with the result of survey data, all scheduling elements are obtained. Following the steps suggested in the study with those transfer-penalty-related parameters, bus route adjustment in a city can easily be analyzed by practitioners.

This paper was sponsored by TRB committee AP010 Standing Committee on Transit Management and Performance.

TRBAM-21-00102

English

19p

2021

Transportation Research Board 100th Annual Meeting

Digital/other

Figures; References (31) ; Tables

Bus routes; Bus transit operations; Costs; Mode choice; Routes and routing; Schedules and scheduling; Trip chaining

Seoul (Korea)

Operations and Traffic Management; Public Transportation

Transportation Research Board Annual Meeting 2021 Paper #TRBAM-21-00102

TRIS, TRB, ATRI

Dec 23 2020 11:04AM