影响马来西亚吉隆坡公共交通乘客满意度的因素

Hoo, W.C., Waheeda, A., Reesha, A.
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引用次数: 0

摘要

本研究的目的是识别和分析影响马来西亚吉隆坡公共交通乘客满意度的因素。尽管努力提高城市公共交通系统的质量和可达性,乘客满意度仍然是一个问题。了解影响乘客满意度的关键因素,对政策制定者和交通部门提高公共交通服务的整体质量至关重要。因此,本研究旨在探讨影响吉隆坡公共交通系统乘客满意度的各种因素。通过分析服务质量、及时性、物有所值和环保态度等因素及其对满意度的影响,本研究旨在为改善乘客体验和促进公共交通的使用提供有价值的见解和建议。这最终将有助于可持续的城市交通和增强城市的交通基础设施。本研究从已开发的服务质量模型中获得支持。数据是从大吉隆坡地区收集的,使用非概率抽样方法,利用谷歌表格问卷供受访者独立完成。受访者自己管理问卷,收集了400个样本。通过在SPSS程序中进行的线性回归,对假设进行了评估和检验。研究结果表明,乘客满意度与服务质量、及时性、物有所值和环保态度等关键因素之间存在很强的相关性。通过调查这些因素,本研究旨在为改善吉隆坡的公共交通系统提供见解和建议,以提高乘客满意度,满足人口不断变化的需求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Factors Influencing the Passenger Satisfaction at Public Transport in Kuala Lumpur, Malaysia
The aim of this study is to identify and analyse the factors influencing passenger satisfaction on public transport in Kuala Lumpur, Malaysia. Despite efforts to improve the quality and accessibility of public transportation systems in the city, passenger satisfaction levels remain a concern. Understanding the key factors that contribute to passenger satisfaction is crucial for policymakers and transportation authorities to enhance the overall quality of public transport services. Therefore, this study seeks to investigate the various factors that significantly influence passenger satisfaction in Kuala Lumpur's public transport system. By addressing such factors as service quality, timeliness, value for money, and environmental attitude and their impact on the level of satisfaction, the study intends to provide valuable insights and recommendations to improve the passenger experience and promote the usage of public transportation. This will ultimately contribute to sustainable urban mobility and enhanced transportation infrastructure in the city. The research draws support from a developed service quality model. Data was collected from the Greater Kuala Lumpur area using non-probability sampling methods, utilising a Google Form questionnaire for respondents to complete independently. The respondents themselves administered the questionnaire, with 400 samples collected. Through linear regressions conducted within the SPSS programme, the hypotheses were evaluated and tested. The findings indicate a strong correlation between passenger satisfaction and key factors such as service quality, timeliness, value for money, and environmental attitude. By investigating these factors, the research seeks to provide insights and recommendations for improving the public transportation system in Kuala Lumpur to enhance passenger satisfaction and meet the evolving needs of the population.
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