|本期目录/Table of Contents|

[1]易彤,陈坚,刘涛,等.基于心理感知的铁路综合客运枢纽客流疏解预警研究*[J].中国安全生产科学技术,2022,18(12):183-189.[doi:10.11731/j.issn.1673-193x.2022.12.026]
　YI Tong,CHEN Jian,LIU Tao,et al.Study on passenger flow relief early-warning of integrated railway passenger transport hub based on psychological perception[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2022,18(12):183-189.[doi:10.11731/j.issn.1673-193x.2022.12.026]
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基于心理感知的铁路综合客运枢纽客流疏解预警研究*
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《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
18
期数:
2022年12期
页码:
183-189
栏目:
职业安全卫生管理与技术
出版日期:
2022-12-31

文章信息/Info

Title:
Study on passenger flow relief early-warning of integrated railway passenger transport hub based on psychological perception
文章编号:
1673-193X(2022)-12-0183-07
作者:
易彤; 陈坚; 刘涛; 马新露
（1.重庆交通大学 交通运输学院，重庆 400074；
2.重庆城市综合交通枢纽（集团）有限公司，重庆 401121）
Author(s):
YI Tong;  CHEN Jian;  LIU Tao;  MA Xinlu
(1.School of Traffic & Transportation,Chongqing Jiaotong University,Chongqing 400074,China;
2.Chongqing City Integrated Transportation Hub (Group) Co.,Ltd.,Chongqing 401121,China)
关键词:
铁路综合客运枢纽; 状态焦虑问卷; 客流疏解过程; 感知疏解时间
Keywords:
integrated railway passenger transport hub;  state anxiety inventory;  passenger flow relief process;  perceived relief time
分类号:
X951
DOI:
10.11731/j.issn.1673-193x.2022.12.026
文献标志码:
A
摘要:
为解决铁路综合客运枢纽客流疏解预警忽略旅客心理感知与焦虑问题，基于状态焦虑问卷，定量描述旅客焦虑状态，通过引入心理测量学中积极率划分客流疏解等级阈值，确定枢纽客流疏解预警等级，构建以旅客感知疏解时间为预警指标的回归预测模型。研究结果表明：模型可定量预测枢纽站各种交通接驳方式客流的感知疏解时间，准确描述枢纽站预警等级，研究结果可为管理人员选择相应疏解措施提供依据。
Abstract:
In order to solve the problem of passengers’ psychological perception and anxiety being ignored in the passenger flow relief early-warning of the integrated railway passenger transport hub,the state anxiety inventory was used to quantitatively describe the anxiety state of passengers,and the positive rate in psychometrics was introduced to divide the thresholds of passenger flow relief level.The hub passenger flow relief early-warning levels were determined,and a regression prediction model with the perceived relief time of passengers as the early-warning index was constructed.The results showed that the model could quantitatively predict the perceived relief time of the passenger flow with various transportation connection methods at the hub station,and accurately describe the early-warning level of the hub station.The research results can provide basis for the managers to select the corresponding relief measures.

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备注/Memo

备注/Memo:
收稿日期： 2022-05-18；网络首发日期： 2022-10-17
* 基金项目： 重庆市社会科学规划重点项目（2020ZDZX04）；重庆市教委“成渝地区双城经济圈建设”科技创新项目（KJCXZD2020029）
作者简介： 易彤，硕士研究生，主要研究方向为交通运输规划与管理。
通信作者： 陈坚，博士，教授，主要研究方向为交通行为理论与实证。
更新日期/Last Update: 2023-01-16