旅游研究

河南省4A级及以上景区公路交通可达性研究

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  • 1.开封大学 财政经济学院,河南 开封 475000; 2.郑州大学 信息管理学院,郑州 450001
杨利峰(1986- ),女,河南许昌市人,讲师,硕士,主要从事区域经济研究,(E-mail)yanglifeng2012@126.com。

网络出版日期: 2024-06-25

基金资助

河南省高校人文社会科学研究一般项目(2023-ZZJH-192)

Research on Driveway Traffic Accessibility of 4A-level and above Scenic Spots in Henan Province

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  • 1.School of Finance and Economics, Kaifeng University, Kaifeng 475000, China;2.School of Information Management, Zhengzhou University, Zhengzhou 450001, China

Online published: 2024-06-25

摘要

“互联网+”时代的来临,为旅游业提供了新的发展机遇,在“互联网+旅游”背景下,旅游交通等方面需要进行创新与变革,从而提升景区的可达性,推动旅游业的发展。以河南208个4A级及以上景区、122个城镇为例,利用K密度估计、可达性模型和百度地图导航功能,对景区前往城镇的公路交通可达性进行研究。结果表明:(1)景区的空间分布存在区域差异,平均通行时间3 h以内的景区占38.94%,5 h以内的占97.60%,中短途观光旅游和周末度假游具有明显优势。(2)景区的可达性呈现“核心-外围”圈层结构,省内旅游便捷的景区位于郑州、开封、许昌、漯河等地,地理位置、交通条件和客源地市场对景区开发市场影响较大。(3)山区公路交通路网有待提升,省内公路交通连结性有待进一步增强。相比理论性的研究方法,利用互联网和大数据,通行时间更为真实。将人口数量作为影响交通可达性的重要因素,对于开发客源地市场、调配旅游交通负荷具有一定参考价值。 

本文引用格式

杨利峰, 高晓宁 . 河南省4A级及以上景区公路交通可达性研究[J]. 地域研究与开发, 2023 , 42(3) : 129 -134,141 . DOI: 10.3969/j.issn.1003-2363.2023.03.021

Abstract

The advent of the “Internet +” era provides new opportunities for the development of tourism. Under the background of “Internet + Tourism”, innovation and reform are needed in tourism transportation so as to improve the accessibility of scenic spots and promote the development of tourism. Taking 208 scenic spots above 4A-level and 122 towns in Henan Province as examples, this paper uses K density estimation, the accessibility model, and Baidu map navigation function to study the road traffic accessibility of scenic spots to towns. The results show that: (1) There are regional differences in the spatial distribution of scenic spots. 38.94% of the scenic spots have an average travel time of less than 3 hours, and 97.60% of the scenic spots are within 5 hours. The short- and medium-distance sightseeing tours and weekend vacation tours have obvious advantages. (2) The accessibility of the scenic spot presents a “core-peripheral” circle structure. The scenic spots with convenient tourism in Henan Province are located in Zhengzhou, Kaifeng, Xuchang and Luohe. Geographic location, transportation conditions, and customer source market have a greater impact on the market development of scenic spots.(3) The driveway traffic network in mountainous areas needs to be improved, and the connectivity of driveway traffic in Henan Province needs to be further enhanced. Compared with theoretical research methods, this paper uses the Internet and Big Data to make the travel time more realistic. Taking population as an important factor affecting traffic accessibility has certain reference value for developing tourist source market and allocating tourist traffic load.

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