首页> 外文期刊>Urban Rail Transit >Service Quality of Addis Ababa Light Rail Transit: Passengers’ Views and Perspectives
【24h】

Service Quality of Addis Ababa Light Rail Transit: Passengers’ Views and Perspectives

机译:Addis Ababa Light Rail Transit的服务质量:乘客的观点和观点

获取原文
       

摘要

Understanding the service quality of public transportation based on users’ perception is an important input for local governments and transit service providers in their planning efforts to improve system performance. Using the Addis Ababa Light Rail Transit (AALRT) as a case, this study aims to examine service users' views and perspectives by using 18 quality attributes. Factor analysis and ordered logit model were employed for this study. Factor analysis with principal components was used to extract the most important factors of satisfaction from the 18 attributes. The results showed that safety and security, ticketing system, travel information, crowdedness, frequency, cleanliness, and comfort are the most important factors influencing user satisfaction. The level of importance of these factors varies depending on different socioeconomic and travel characteristics of AALRT users. Riders who use the light rail at afternoon peak hours, have high household income and short travel duration, and use LRT for shopping purposes have a negative perception regarding the crowdedness, frequency, ticketing, and information system of the AALRT. Passengers with longer travel distance, those who use the AALRT frequently, and full- or part-time workers and students have a positive perception towards several attributes of the system.
机译:了解基于用户的知情的公共交通服务质量是当地政府和过境服务提供商在计划努力提高系统性能方面的重要投入。使用Addis Ababa Light Rail Transit(AALRT)作为一种情况,本研究旨在通过使用18个质量属性来检查服务用户的视图和视角。对本研究采用因子分析和有序的Logit模型。主要成分的因子分析用于提取来自18个属性的最重要因素。结果表明,安全和安全,票务系统,旅游信息,拥挤,频率,清洁和舒适性是影响用户满意度的最重要因素。这些因素的重要性程度因AALRT用户的不同社会经济和旅行特征而异。在午后高峰时段使用轻轨的车手,具有高家庭收入和短期行程持续时间,并使用LRT用于购物目的对AALRT的拥挤,频率,票务和信息系统具有负面看法。旅行距离更长的乘客,那些经常使用AALRT的人,以及全职或兼职工人和学生对系统的几个属性具有积极的感知。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号