[1]周竹萍,王炜,任刚,等.信号控制交叉口行人个体过街行为选择模型[J].东南大学学报(自然科学版),2013,43(3):664-668.[doi:10.3969/j.issn.1001-0505.2013.03.040]
 Zhou Zhuping,Wang Wei,Ren Gang,et al.Choice model of pedestrian crossing behavior at signalized intersections[J].Journal of Southeast University (Natural Science Edition),2013,43(3):664-668.[doi:10.3969/j.issn.1001-0505.2013.03.040]
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信号控制交叉口行人个体过街行为选择模型()
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《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
43
期数:
2013年第3期
页码:
664-668
栏目:
交通运输工程
出版日期:
2013-05-20

文章信息/Info

Title:
Choice model of pedestrian crossing behavior at signalized intersections
作者:
周竹萍1王炜2任刚2宫霞3
1南京理工大学交通工程系, 南京 210094; 2东南大学交通学院, 南京 210096; 3复旦大学附属华山医院, 上海200040
Author(s):
Zhou Zhuping1 Wang Wei2 Ren Gang2 Gong Xia3
1Department of Traffic Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
2School of Transportation, Southeast University, Nanjing 210096, China
3Huashan Hospital Affiliated to Fudan University, Shanghai 200040, China
关键词:
行人过街行为 相关性分析 隐性变量 多项logit模型
Keywords:
pedestrian crossing behavior correlation analysis latent variable multinomial logit model
分类号:
U491
DOI:
10.3969/j.issn.1001-0505.2013.03.040
摘要:
为减少行人违法过街现象,提高行人过街安全,对信号交叉口行人过街行为机理进行研究.首先,通过相关性分析找出个人属性、家庭属性、行人设施属性、交通状况属性中对行人过街行为有显著影响的因素.另外,除上述可见因素外,也存在一些观察不到的心理因素会对行人行为产生影响,如对交通安全的态度、对舒适性的要求、从众心理的强弱等.将这些心理层面的主观偏好定义为隐性变量,通过对解释变量和表征变量的结构方程建模获取.最后,将相关性分析得出的关键因素和隐性变量共同作为自变量,引入到logit模型中,建立行人个体违法过街行为的MNL模型.结果表明:到达时间对行人选择“先绿后红”行为影响最大;性别因素对行人“全红”行为影响最显著;年龄因素对行人“先红后绿”行为影响最为显著.
Abstract:
In order to reduce the occurrence of pedestrian violations and improve pedestrian safety, the mechanism of pedestrian crossing behavior at signalized intersections is studied. First, correlation analysis is performed to find out the significant factors affecting pedestrian crossing behavior from demographic characteristics, family characteristics, attributes of the facilities, and traffic condition factors. In spite of the visible factors, unobserved attributes may also influence pedestrian crossing behavior. These unobserved attributes are defined as latent factors, which represent the pedestrians subjective preferences in crossing behavior choice. Then, five latent variables including safety, conformity, comfort, flexibility and fastness are obtained by structure equation modeling(SEM)on explanatory variables and indicator variables. Finally, a multinomial logit(MNL)model with latent variables is developed to describe how the factors influence pedestrians behavior choices. The following conclusions are drawn from the model: Arrival time is the most significant factor when pedestrians choose to be late starters; gender has the most significant effects on the pedestrians to be sneakers; for the choice of being partial sneakers, age is the most important factor.

参考文献/References:

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备注/Memo

备注/Memo:
作者简介: 周竹萍(1985—),女,博士,讲师,jzp19850926@163.com.
基金项目: “十一五”国家科技支撑计划资助项目(2009BAG13A05).
引文格式: 周竹萍,王炜,任刚,等.信号控制交叉口行人个体过街行为选择模型[J].东南大学学报:自然科学版,2013,43(3):664-668. [doi:10.3969/j.issn.1001-0505.2013.03.040]
更新日期/Last Update: 2013-05-20