对 KAI 在线订票应用访问的分析

Ririn Agus Triani, Femmy Sofie Schouten
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引用次数: 0

摘要

本研究旨在根据车票销售数据,分析在线订票应用程序的实施对火车乘客数量的影响。随着技术的发展,包括火车在内的交通运输行业也引入了在线订票应用程序,从而带来了巨大的变化。分析方法采用非参数统计检验,以衡量应用程序与乘客人数之间的关系。分析中使用了该应用程序实施前后几年的火车票销售数据。分析结果表明,在线订票应用程序的实施与火车乘客人数的增加之间存在正相关关系。研究结果支持这样的观点,即通过应用程序订票的便捷性鼓励了更多人使用铁路服务。虽然研究结果表明了实施网上订票应用程序的积极影响,但还有其他一些因素会影响乘客人数,如经济因素、促销活动和列车运营商提供的附加服务等。因此,本研究在考虑所有这些因素时存在局限性。基于这些研究结果,建议火车运营商继续开发和改进在线订票应用程序,将其作为市场营销和客户服务战略的一部分。本研究有助于了解技术如何影响运输行业的消费者行为,以及技术对火车乘客人数的影响程度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ANALYSIS OF THE APPLICATION OF ONLINE TICKET BOOKING APPLICATION ACCESS BY KAI
This study aims to analyze the impact of the implementation of online ticket booking applications on the number of train passengers based on ticket sales data. The development of technology has brought significant changes in the transportation industry, including trains, with the introduction of online ticket booking applications. The analysis method used is a non-parametric statistical test to measure the relationship between the application and the number of passengers. Train ticket sales data for several years before and after the implementation of the application were used in the analysis. The results of the analysis showed a positive relationship between the implementation of online ticket booking applications and an increase in the number of train passengers. The findings support the view that the ease of access and convenience in booking tickets through the app has encouraged more people to use rail services. Although the results of this study indicate the positive impact of implementing online ticket booking applications, there are several other factors that can affect the number of passengers, such as economic factors, promotions, and additional services offered by train operators. Therefore, this study has limitations in considering all these factors. Based on these findings, it is recommended that train operators continue to develop and improve online ticket booking applications as part of their marketing and customer service strategies. This research contributes to understanding how technology can shape consumer behavior in the transportation industry and the extent of its impact on train passenger numbers.
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