中国安全科学学报 ›› 2022, Vol. 32 ›› Issue (6): 151-156.doi: 10.16265/j.cnki.issn1003-3033.2022.06.2787

• 公共安全 • 上一篇    下一篇

无障碍出行轨道交通环境使用后评价

王建光()   

  1. 长春大学 特殊教育学院,吉林 长春 130022
  • 收稿日期:2022-01-08 修回日期:2022-04-12 出版日期:2022-06-28 发布日期:2022-12-28
  • 作者简介:

    王建光 (1978—),男,吉林长春人,硕士,副教授,主要从事高等特殊教育、残障人无障碍安全出行等方面的研究。E-mail:

  • 基金资助:
    吉林省教育厅社会科学研究规划项目(JJKH20220574SK)

POE assessment on rail traffic environment for barrier-free travels

WANG Jianguang()   

  1. School of Special Education, Changchun University, Changchun Jilin 130022,China
  • Received:2022-01-08 Revised:2022-04-12 Online:2022-06-28 Published:2022-12-28

摘要:

为满足人们无障碍出行需求,从安全视角评价无障碍出行轨道交通环境,构建无障碍出行轨道交通环境的评价指标体系,应用熵权法(EWM)确定指标体系的权重,通过使用后评价(POE)视角,选取长春市907份数据样本,应用灰色关联分析(GRA)评价长春市无障碍出行轨道交通环境,采用多元归模型分析影响无障碍出行轨道交通环境建设的因素。结果表明:在无障碍出行的轨道交通环境建设中,最重要的指标包括无障碍设施引导性、工具的安全性、语音播报或提示牌、购票便利性、周围人对求助提供帮助的意愿等。影响无障碍出行满意度的因素包括无障碍设施的维护与保养、信息技术在无障碍设施中的应用等。

关键词: 无障碍出行, 轨道交通环境, 熵权法(EWM), 使用后评价(POE), 灰色关联分析(GRA)

Abstract:

In order to meet people's needs for barrier-free travels and evaluate barrier-free rail transit environment from safety perspective, an evaluation index system was established, and its weight was determined by using EWM. Then, with data of 907 citizens from Changchun as samples, the city's barrier-free rail travel environment was assessed by using GRA from the aspect of POE. Finally, factors influencing construction of such an environment were analyzed by adopting multiple linear regression model. The results show that while building rail transit environment for barrier-free travels, the most important indicators include guidance of such facilities, safety of tools, voice broadcast or notice boards, convenience of ticket purchase, willingness of surrounding people to help, etc. It also indicates that the influencing factors of satisfaction include maintenance and repair of the facilities, and application of information technology, etc.

Key words: barrier-free travel, rail traffic environment, entropy weight method (EWM), post occupancy evaluation (POE), grey relational analysis (GRA)