Urban railway choice behavior model based on RP data and SP data

Hong Zhi Guan; Shan Chuan Wang; Li Ya Yao; Hong Yi

Urban railway choice behavior model based on RP data and SP data

Hong Zhi Guan^*, Shan Chuan Wang, Li Ya Yao, Hong Yi

^*Corresponding author for this work

Beijing University of Technology

Research output: Contribution to journal › Article › peer-review

4 Citations (Scopus)

Abstract

The inconsistence of SP data between behavior and behavior intention is a serious problem. The article introduces the method of revises the SP data using the RP data. Then take Beijing as the example, establishes the RP data models, the SP data model and the fusion data model, it carries on the analysis of model sensitivity. The results indicate: the mark of expense parameter is not logical in the RP data mode; The precision of SP data model is high, but the effects of some parameters are not remarkable; The fusion data model parameters' test are remarkable, the model elasticity is small, and its' sensitivity is deactivated.

Original language	English
Pages (from-to)	203-207
Number of pages	5
Journal	Beijing Gongye Daxue Xuebao / Journal of Beijing University of Technology
Volume	33
Issue number	2
Publication status	Published - Feb 2007
Externally published	Yes

Keywords

Disaggregate model
RP data
Rail traffic
SP data

Cite this

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title = "Urban railway choice behavior model based on RP data and SP data",

abstract = "The inconsistence of SP data between behavior and behavior intention is a serious problem. The article introduces the method of revises the SP data using the RP data. Then take Beijing as the example, establishes the RP data models, the SP data model and the fusion data model, it carries on the analysis of model sensitivity. The results indicate: the mark of expense parameter is not logical in the RP data mode; The precision of SP data model is high, but the effects of some parameters are not remarkable; The fusion data model parameters' test are remarkable, the model elasticity is small, and its' sensitivity is deactivated.",

keywords = "Disaggregate model, RP data, Rail traffic, SP data",

author = "Guan, \{Hong Zhi\} and Wang, \{Shan Chuan\} and Yao, \{Li Ya\} and Hong Yi",

year = "2007",

month = feb,

language = "English",

volume = "33",

pages = "203--207",

journal = "Beijing Gongye Daxue Xuebao / Journal of Beijing University of Technology",

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TY - JOUR

T1 - Urban railway choice behavior model based on RP data and SP data

AU - Guan, Hong Zhi

AU - Wang, Shan Chuan

AU - Yao, Li Ya

AU - Yi, Hong

PY - 2007/2

Y1 - 2007/2

N2 - The inconsistence of SP data between behavior and behavior intention is a serious problem. The article introduces the method of revises the SP data using the RP data. Then take Beijing as the example, establishes the RP data models, the SP data model and the fusion data model, it carries on the analysis of model sensitivity. The results indicate: the mark of expense parameter is not logical in the RP data mode; The precision of SP data model is high, but the effects of some parameters are not remarkable; The fusion data model parameters' test are remarkable, the model elasticity is small, and its' sensitivity is deactivated.

AB - The inconsistence of SP data between behavior and behavior intention is a serious problem. The article introduces the method of revises the SP data using the RP data. Then take Beijing as the example, establishes the RP data models, the SP data model and the fusion data model, it carries on the analysis of model sensitivity. The results indicate: the mark of expense parameter is not logical in the RP data mode; The precision of SP data model is high, but the effects of some parameters are not remarkable; The fusion data model parameters' test are remarkable, the model elasticity is small, and its' sensitivity is deactivated.

KW - Disaggregate model

KW - RP data

KW - Rail traffic

KW - SP data

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M3 - Article

AN - SCOPUS:34147207560

SN - 0254-0037

VL - 33

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JO - Beijing Gongye Daxue Xuebao / Journal of Beijing University of Technology

JF - Beijing Gongye Daxue Xuebao / Journal of Beijing University of Technology

IS - 2

ER -

Urban railway choice behavior model based on RP data and SP data

Abstract

Keywords

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