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A Logit Type of Public Transit Trip Assignment Model Considering Stepwise Transfer Coefficients
Author(s) -
Seongil Shin,
Nam-Cheol Baik
Publication year - 2016
Publication title -
journal of korean society of transportation
Language(s) - English
Resource type - Journals
eISSN - 2234-4217
pISSN - 1229-1366
DOI - 10.7470/jkst.2016.34.6.570
Subject(s) - public transport , logit , enumeration , transfer (computing) , computer science , transit (satellite) , path (computing) , logistic regression , transport engineering , process (computing) , mathematical optimization , mixed logit , operations research , mathematics , engineering , computer network , machine learning , combinatorics , parallel computing , operating system
This study proposes a concept of Stepwise Transfer Coefficient(STC) which implies greater transfer cost with increasing the number of transfers. Thus, the public transport information system provides the choice sets of travel routes by the consideration of not only transportation time but also the optimum number of transfers. However, path choice problems that involve STC are found to include non additive cost, which requires additional route enumeration works. Discussions on route enumeration in actual transportation networks is very complicated, thereby warranting a theoretical examination of route search considering STC. From these points of view, this study results in a probability based transit trip assignment model including STC. This research also uses incoming link based entire route deletion method. The entire route deletion method proposed herein simplifies construction of an aggregation of possible routes by theoretically supporting the process of enumeration of the different routes from origin to destination. Conclusively, the STC reflected route based logit model is proposed as a public transportation transit trip assignment model.

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