迈向新一代智慧旅游城市——基因智能航空娱乐

IF 6.6 1区 经济学 Q1 URBAN STUDIES
Lázaro Florido-Benítez , J. Andres Coca-Stefaniak
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引用次数: 0

摘要

本文采用基于未来的方法来探索智慧城市作为旅游目的地的营销,并特别关注生成式人工智能(GenAI)在这一过程中可以发挥的作用。本文以航空娱乐的新概念为基础,提出了一种综合机场、主题公园、区域旅游景点和旅游城市的城市目的地管理的整体方法,并批判性地讨论了GenAI对游客体验规划和管理的未来影响。本文提出并讨论了基于基因人工智能的智能旅游城市发展的新框架——城市旅游目的地金字塔,包括使用数字双胞胎和基因人工智能等工具来监测和预测未来的客户行为。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards a new generation of smart tourism cities–GenAI-enabled aerotainment
This article adopts a futures-based approach to explore the marketing of smart cities as tourism destinations with a specific focus on the role generative artificial intelligence (GenAI) can play in this process. Building on the novel concept of aerotainment, which advocates a holistic approach to urban destination management merging airports, theme parks, regional visitor attractions and tourism cities, the future impacts of GenAI on the planning and management of visitor experiences are discussed critically. A novel framework for the development of GenAI-enabled smart tourism cities - the urban tourism destination pyramid - is posited and discussed, including the use of tools such as digital twins and GenAI to monitor and predict future customer behaviour.
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来源期刊
Cities
Cities URBAN STUDIES-
CiteScore
11.20
自引率
9.00%
发文量
517
期刊介绍: Cities offers a comprehensive range of articles on all aspects of urban policy. It provides an international and interdisciplinary platform for the exchange of ideas and information between urban planners and policy makers from national and local government, non-government organizations, academia and consultancy. The primary aims of the journal are to analyse and assess past and present urban development and management as a reflection of effective, ineffective and non-existent planning policies; and the promotion of the implementation of appropriate urban policies in both the developed and the developing world.
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