Railway Passengers Travel Time Research Based on Survival Analysis

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Abstract:

With the development of the economy, people have higher request for the time. Studying the choice of travel about rail passengers becomes more significant. Due to these problem above and using survival analysis method, this paper builds travel time survival model based on questionnaire and have a whole analysis of the travel time of the rail passenger. Then, it concludes that most of the rail passengers’ travel time is below five hours. At last, this paper builds COX proportional hazard rate model of travel time and study the factors about travel time. The result demonstrates that the factor about whether it is students or not, family income, whether it is travelling and the number of packages has a significant influence on the travel time.

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Advanced Materials Research (Volumes 962-965)

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2580-2583

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June 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] Bhat C R. Work travel mode choice and number of non-work commute stops [J]. Transportation Research B, 1997, 31: 41-54.

DOI: 10.1016/s0191-2615(96)00016-1

Google Scholar

[2] Ettema D, Burgers A Timmermans H. SMASH (simulation model of activity scheduling heuristics): empirical test and simulation issues[C]. Activity Based Approaches: Activity Scheduling and the Analysis of Activity Paaems, Eindhoven. The Netherlands, (1995).

DOI: 10.1080/713668591

Google Scholar

[3] Nam D, Mannering F. An exploratory hazard-based analysis of highway incident. Trans Res A, 2000, 34(2): 85–102.

Google Scholar

[4] Kharoufeh J P, Goulias K G. Nonparametric identification of daily activity durations using kernel density estimators[J]. Transportation Research Part B, 2007, 36(1): 59–82.

DOI: 10.1016/s0191-2615(00)00038-2

Google Scholar

[5] Wong J T, Tsai S C. A survival mode l for flight delay propagation[J]. Journal of Air Transport Management, 2012, 23: (5-11).

Google Scholar

[6] Sharma A, Bullock D, Peeta S. Estimating dilemma zone hazard function at high speed isolated intersection[J]. Transportation Research Part C, 2011, 19(3): 400-412.

DOI: 10.1016/j.trc.2010.05.002

Google Scholar