地理研究 ›› 2020, Vol. 39 ›› Issue (2): 232-242.doi: 10.11821/dlyj020181342

• 观点与争鸣 • 上一篇    下一篇

旅游地三元空间交互理论模型建构

张郴, 黄震方   

  1. 南京师范大学地理科学学院,江苏省地理信息资源开发与利用协同创新中心,南京 210023
  • 收稿日期:2018-12-10 修回日期:2019-01-23 出版日期:2020-02-20 发布日期:2020-05-20
  • 作者简介:张郴(1982- ),女,江苏南京人,博士,副教授,硕士生导师,研究方向为旅游地理与旅游规划。Email: zhangc@njnu.edu.cn
  • 基金资助:
    国家自然科学基金项目(41871141);国家自然科学基金项目(41671137);国家自然科学基金项目(41301145)

Constructing the theoretical model of "tri-space" interaction in the tourism context

ZHANG Chen, HUANG Zhenfang   

  1. School of Geographical Science, Nanjing Normal University, Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China
  • Received:2018-12-10 Revised:2019-01-23 Online:2020-02-20 Published:2020-05-20

摘要:

信息化时代下,网络信息的强势介入为旅游人地关系赋予了新的内涵、特征和形式。基于此,提出旅游地理学视域下的三元空间概念。该三元空间由人、地、信息组合而成,各子空间相互关联、相互作用、动态响应,由此形成一个庞大的动态复合系统。在对三元空间概念框架、交互作用及协同响应模式系统阐释的基础上,旅游地三元空间交互理论模型建构而成。由此,二维视角下的旅游人地关系被延展到了立体的三元空间,一种信息要素介入下的新型人地链接关系和交互形态得以有效揭示。三元空间交互理论的提出为探究信息时代下的旅游人地关系提供了一种新的、系统化的思维模式,研究结果可为协调旅游人地关系,实现旅游人地融合、共生、可持续发展提供可行途径。

关键词: 三元空间, 旅游地, 旅游者, 网络信息, 人地关系, 空间交互

Abstract:

In the information era, both the tourists and destinations are greatly affected by the information over the internet. Referring to tourists, they usually record their needs, hobbies, experiences as well as social relationships through internet; besides, a tourist would make a decision to travel to a particular place largely due to someone else's microblog or online travel note. Referring to destinations, information platforms, such as online social media, are gradually becoming important channels for destination image projection and communication; on the other hand, based on the reception and utilization of multi-source information on the internet, the managers and practitioners of destinations would make or change their decisions referring to the operation and management of the destination, and accordingly change the status of destination in the real world. To a great extent, the arrival of the information age has endowed human-environment relationship with new connotations, characteristics and forms. A new pattern of interaction between tourists and destinations with the intervention of network information has been formed. To understand this new relationship, finding the ways to promote the integration and sustainable development of this relationship based on it, is gradually becoming an important and urgent new proposition given by tourism geography research. In view of this, this study proposes a novel framework of human-environment relationship in "tri-space". Tri-space consists of three different spaces called geographic space, humanistic space and information pace (or cyberspace). Among them, geographic space is the physical space carrying tourism resources, facilities and activities within a specific region; humanistic space is the space constructed by tourists themselves referring to a specific region, which can be viewed as an explicit or implicit space; information space is a virtual space constructed by mass network information related to the tourism of a specific region. The concept of tri-space combines human, place and information together into an organic whole, with each sub-space interacting with each other. Machine learning techniques, the core techniques of artificial intelligence (AI), can be used to construct the metrics and measures of tri-space, discover the interaction mechanism in tri-space, and further build the co-reaction patterns of tri-space. Tri-space and its interaction view extend the traditional 'flat' human-environment relationship into a 'cubic' one, and further disclose a link between virtual/actual tourists and destinations, which provides a novel, systematic view of research on human-environment interaction.

Key words: tri-space, tourism destination, tourist, network information, human-environment interaction, space interaction