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Objective and subjective predictors of perceived cleanliness in train stations

机译:火车站清洁度的客观和主观预测指标

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Cleanliness is one of the key determinants of overall customer satisfaction in train stations. Customers’ perception of cleanliness is not limited to cleaning only but depends on multiple predictors. A better understanding of these predictors may contribute to the optimisation of perceived cleanliness in train stations. The current study was designed to examine how objective predictors (measures of cleaning quality), subjective predictors (e.g., customers’ perception of lighting, scent, staff), and demographic variables relate to perceived cleanliness in train stations. Data on cleaning quality were gathered by trained cleaning inspectors and data on subjective predictors of cleanliness were obtained through surveys collected at 25 train stations in the Netherlands (N= 19.206). Data were examined using correlation and regression analysis. Positive and significant correlates of perceived cleanliness in train stations were found, including: perception of scent, lighting, colour, and staff. In regression analysis, customers’ perception of scent and lighting appeared to be powerful predictors of perceived cleanliness. These findings underline that customers’ perception of cleanliness is not only influenced by cleaning quality, but also by other predictors, such as scent, lighting, colour, and staff behaviour.
机译:清洁度是火车站整体客户满意度的关键因素之一。客户对清洁度的认识不仅限于清洁,还取决于多个预测因素。对这些预测因素的更好理解可能有助于优化火车站的清洁度。当前的研究旨在检查客观预测因素(清洁质量的度量),主观预测因素(例如,客户对照明,气味,工作人员的感知)以及人口统计学变量与火车站的清洁度之间的关系。有关清洁质量的数据是由训练有素的清洁检查员收集的,有关清洁度的主观预测指标的数据是通过在荷兰的25个火车站收集的调查获得的(N = 19.206)。使用相关和回归分析检查数据。发现在火车站的清洁度与正相关和显着性相关,包括:对气味,灯光,颜色和人员的感知。在回归分析中,客户对气味和光线的感知似乎是感知清洁度的有力预测指标。这些发现表明,客户对清洁度的看法不仅受清洁质量的影响,还受其他预测因素的影响,例如气味,光线,颜色和员工行为。

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