地理研究 ›› 2020, Vol. 39 ›› Issue (8): 1822-1835.doi: 10.11821/dlyj020190697

• 研究论文 • 上一篇    下一篇

“轮毂”模型:城市自驾旅游者的出游空间结构——以北京、西安、武汉为例

张甜歌1(), 吴晋峰1,2(), 石晓腾1, 吴宝清1, 邓纯纯1, 吴珊珊1   

  1. 1.陕西师范大学地理科学与旅游学院,西安 710119
    2.陕西省旅游信息科学重点实验室,西安 710119
  • 收稿日期:2019-08-15 修回日期:2020-01-22 出版日期:2020-08-20 发布日期:2020-10-20
  • 通讯作者: 吴晋峰
  • 作者简介:张甜歌(1995-),女,安徽灵璧人,硕士研究生,研究方向为旅游开发与市场分析。E-mail: 1179215093@qq.com
  • 基金资助:
    国家自然科学基金项目(41671135)

“Wheel hub” model: The tourism space structure of urban self-driving tourists: Taking Beijing, Xi'an and Wuhan cities as examples

ZHANG Tiange1(), WU Jinfeng1,2(), SHI Xiaoteng1, WU Baoqing1, DENG Chunchun1, WU Shanshan1   

  1. 1. School of Geography and Tourism, Shaanxi Normal University, Xi'an 710119, China
    2. Shaanxi Key Laboratory of Tourism Information Science, Xi'an 710119, China
  • Received:2019-08-15 Revised:2020-01-22 Online:2020-08-20 Published:2020-10-20
  • Contact: WU Jinfeng

摘要:

自驾游市场是国内旅游市场的重要组成部分。研究自驾旅游者的出游空间大小和结构对于目的地开发和优化自驾游线路产品、有针对性地开展市场营销工作具有重要意义。以北京、西安和武汉为案例地,基于4000多份调查问卷,应用数理统计法、地图法和空间分析法,对自驾旅游者的出游空间结构进行了定量研究,结果发现:① 自驾到访率随出游距离的增加呈指数衰减,在交通距离400 km范围内衰减最快。② 自驾游空间可划分为轴心区、辐射区和边缘区三种不同类型区。其中,轴心区和辐射区是有旅游市场价值的空间。③ 不同城市自驾游空间大小不同。以交通距离衡量,北京自驾游空间半径为1665 km,西安为1196 km,武汉为1176 km,轴心区半径均在交通距离400 km左右。④ 自驾游空间可划分为舒适空间(4 h以内)和疲惫空间(超过4 h),其中疲惫空间可进一步划分为轻度疲惫空间(4~6 h)和重度疲惫空间(超过6 h)。舒适空间对应轴心区,疲惫空间对应辐射区,轻度疲惫空间对应轴心区与辐射区之间的过渡带。本研究提出的城市自驾旅游者出游空间结构“轮毂”模型为研究自驾游空间结构提供了认知框架。

关键词: 自驾游空间, “轮毂”模型, 自驾到访率, 空间结构

Abstract:

Self-driving tour market has become an important part of China's domestic tourism market. It is of great theoretical significance to study the spatial extent and structure of urban self-driving tourists' tourism space for enriching and deepening the research on the spatial structure of self-driving tourism. Besides, it has practical value to the tourism destination management organizations' (DMOs) works of marketing, development of self-driving tourism products and implementation of self-driving tourism development strategies. This paper explores the characteristics of tourism space structure of Chinese urban self-driving tourists by analyzing their visits to target scenic spots, based on data of more than 4000 questionnaires obtained from three representative case cities of Beijing, Xi'an and Wuhan, and methods of mathematical statistics, mapping and spatial analysis. The results showed that: (1) The self-driving visiting rate decreases exponentially with the increase of travel distance, and it decreases fast within a range of 400 km. (2) Self-driving tourism space centered on origin city can be divided into three types of zones from the nearby to the distance, which are center zone, diffusion zone and edge zone. Among them, center and diffusion zones are self-driving tourism space with important tourism market value. (3) The size of self-driving tourism space varies in different origin cities. Self-driving tourism space radiuses of Beijing, Xi'an and Wuhan measured by travel distance are respectively 1665 km, 1196 km, and 1176 km. The radius of self-driving tourism center zone in all the three cities is about 400 km. (4) With 4 h and 6 h as the time threshold, self-driving tourism space can be divided into comfort space (within 4 h) and fatigue space (over 4 h), which can be further divided into mild fatigue space (4-6 h) and severe fatigue space (over 6 h). The comfort space corresponds to the center zone while the fatigue space corresponds to the diffusion zone, and the mild fatigue space corresponds to the transitional belt between the center and the diffusion zones. In this study, the tourism space structure of urban self-driving tourists is summarized as a “wheel hub” model, which provides a cognitive framework for studying the spatial structure of self-driving tourism.

Key words: self-driving tourism space, “wheel hub” model, self-driving visiting rate, spatial structure