Probability Model of Upstream Passenger who Select Escalator in High-Speed Rail Hub

Yu Long Pei; Kan Zhou; Ting Peng

doi:10.4028/www.scientific.net/AMR.694-697.3366

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Application of Internet of Things in Rail Cars Management
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Probability Model of Upstream Passenger who Select Escalator in High-Speed Rail Hub
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 694-697Probability Model of Upstream Passenger who Select...

Probability Model of Upstream Passenger who Select Escalator in High-Speed Rail Hub

Abstract:

In order to explore the characteristics of upstream passengers select between stair and escalator in high-speed rail hub, this paper analyzed the influencing factors of passenger choice behavior, based on observing the behavior of upstream passengers in high-speed rail hub. Probability choice model of upstream passenger was established according to regression analysis using logistic function, the parameters of the model were calibrated and the validity was verified using survey data. The results show that, five factors—the height of the stair, the number of luggage, gender and age of passenger, and queuing number at the entrance to the escalator can affect the choice behavior of upstream passengers, and the forecast accuracy is up to 92.3% using the proposed probability model of upstream passenger who select escalator in high-speed rail hub.

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Periodical:

Advanced Materials Research (Volumes 694-697)

Pages:

3366-3369

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.694-697.3366

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Online since:

May 2013

Authors:

Yu Long Pei, Kan Zhou, Ting Peng

Keywords:

Escalator, High-Speed Rail Hub, Selection, Stair, Traffic Engineering

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