里加国际机场为满足乘客的创新

I. Āboliņa
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引用次数: 0

摘要

国际机场都没有做好应对新冠肺炎疫情影响的准备。幸运的是,国际机场,包括里加国际机场(以下简称RIX),并没有对这场危机毫无准备。多年来,航空业一直在大力投资非接触式技术。多年来,创新一直是航空工业实力和发展的支柱。研究的问题是由于COVID-19导致RIX服务的乘客需求减少。它强调了建立创新解决方案和发展非接触式机场的必要性,这可能会提高乘客满意度和更新机场服务。技术,加上对自动化的高度关注,定义了RIX机场的乘客体验。乘客和工作人员的安全是RIX机场的首要任务。创新不仅提高了运营效率和安全性,而且还使旅客的机场体验更快捷、更舒适。虽然数字化、自动化和非接触式机场解决方案正在塑造RIX机场的未来,但人力资源仍然发挥着至关重要的作用,特别是在提供友好的服务和确保乘客享受体验方面。在方法上,本研究通过调查、专家访谈、知识转移等方法,运用统计和观察数据对乘客满意度进行实证测量。为了观察当地和国际机场专家的意见,我们进行了半结构化访谈,并使用定性数据处理方法NVivo 12进行了分析。©2022拉脱维亚生命科学与技术大学。版权所有。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Innovations for satisfied passengers at riga international airport
None of international airports were prepared for the impact of COVID-19 global pandemic. Fortunately, international airports, also Riga International Airport (hereinafter - RIX), were not caught entirely unprepared for the crisis. Aviation industry has been deeply invested in contactless technology for years. Innovation has been a pillar of strength and growth of aviation industry over the past years. The research problem lies in decreased passenger demand of RIX services due to COVID-19. It strengthens a necessity to establishment of innovative solutions and development of touchless airport which might increase passenger satisfaction and renew airport services. Technology, coupled with heightened focus on automation defines passenger experience at RIX airport. Safety and security of passengers and staff are top priorities for RIX airport. Innovations not only enhance operational efficiency and security, but they also make the airport experience quicker and comfortable for passengers. Although digitalization, automation and touchless airport solutions are shaping the future of RIX airport, human recourses still have a crucial role, particularly in terms of providing friendly service and ensuring passengers enjoying the experience. Methodologically, this study interprets results from a survey, expert interviews, knowledge transfer to empirically measure passenger satisfaction with statistical and observational data. In order to observe local and international airport expert opinions, semi-structured interviews are conducted and analysed with the qualitative data processing method NVivo 12. © 2022 Latvia University of Life Sciences and Technologies. All rights reserved.
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