Research on the Spatial Structure of A-Level Tourist Attractions in Inner Mongolia

基于截至2024年2月26日内蒙古457家A级旅游景区的数据,通过采用最邻近指数、核密度分析等手段,对内蒙古A级旅游景区的资源类型分布以及空间结构分布特性展开了剖析。结果表明:(1) 全区A级景区中,人文旅游资源与自然旅游资源的景区数量比例约为3:1,显示出内蒙古A级景区以人文旅游资源为主导,自然旅游资源为补充。(2) 乌兰察布市的A级景区分布接近随机分布;通辽市和乌海市的A级景区分布呈现弱集聚型特征;兴安盟、赤峰市、呼和浩特市和阿拉善盟的A级景区分布属于强集聚型;呼伦贝尔市、包头市、鄂尔多斯市、锡林郭勒盟和巴彦淖尔市呈现出中间程度的集聚分布。(3) 内蒙古A级景区的分布呈现双核分布,一个是以呼和浩特市作为核心,涵盖包头市、鄂尔多斯市、乌兰察布市的旅游圈,其密度处于极高水平。另一个是以鄂尔多斯市西北部为核心,覆盖巴彦淖尔市、乌海市的密度适中型旅游圈。Based on data from 457 A-level tourist attractions in Inner Mongolia as of February 26, 2024, employs methods such as the nearest neighbor index, kernel density analysis to examine the resource type distribution and spatial structure features of A-level tourist attractions in Inner Mongolia. The results indicate that: (1) In terms of the composition of A-level attractions across the region, the number of attractions related to cultural and natural tourism resources is approximately 3:1. (2) The distribution of A-level attractions in Ulanqab City is close to random; that in Tongliao City and Wuhai City exhibits weak agglomeration characteristics; in Xing’an Prefecture, Chifeng City, Hohhot City, and Alashan Prefecture is strongly agglomerated; and the distribution in Hulunbuir City, Baotou City, Erdos City, Xilin Gol Prefecture, and Bayannaoer City shows an intermediate degree of agglomeration. (3) The distribution of A-level attractions in Inner Mongolia presents a two-core pattern. One core is centered in Hohhot City, covering Baotou City, Erdos City, and Ulanqab City, forming a highly dense tourism circle. The other core is centered in the northwest of Erdos City, covering Bayannaoer City and Wuhai City, forming a moderately dense tourism circle.

Authors

Publication Details

Journal
Geographical Science Research
Published
2025-01-01
DOI
https://doi.org/10.12677/gser.2025.143054
Primary Topic
Diverse Aspects of Tourism Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Research on the Spatial Structure of A-Level Tourist Attractions in Inner Mongolia

达嘎 钱
1 links
Geographical Science Research
Diverse Aspects of Tourism Research
article

Research on the Spatial Structure of A-Level Tourist Attractions in Inner Mongolia

达嘎 钱
article en

Abstract

基于截至2024年2月26日内蒙古457家A级旅游景区的数据,通过采用最邻近指数、核密度分析等手段,对内蒙古A级旅游景区的资源类型分布以及空间结构分布特性展开了剖析。结果表明:(1) 全区A级景区中,人文旅游资源与自然旅游资源的景区数量比例约为3:1,显示出内蒙古A级景区以人文旅游资源为主导,自然旅游资源为补充。(2) 乌兰察布市的A级景区分布接近随机分布;通辽市和乌海市的A级景区分布呈现弱集聚型特征;兴安盟、赤峰市、呼和浩特市和阿拉善盟的A级景区分布属于强集聚型;呼伦贝尔市、包头市、鄂尔多斯市、锡林郭勒盟和巴彦淖尔市呈现出中间程度的集聚分布。(3) 内蒙古A级景区的分布呈现双核分布,一个是以呼和浩特市作为核心,涵盖包头市、鄂尔多斯市、乌兰察布市的旅游圈,其密度处于极高水平。另一个是以鄂尔多斯市西北部为核心,覆盖巴彦淖尔市、乌海市的密度适中型旅游圈。Based on data from 457 A-level tourist attractions in Inner Mongolia as of February 26, 2024, employs methods such as the nearest neighbor index, kernel density analysis to examine the resource type distribution and spatial structure features of A-level tourist attractions in Inner Mongolia. The results indicate that: (1) In terms of the composition of A-level attractions across the region, the number of attractions related to cultural and natural tourism resources is approximately 3:1. (2) The distribution of A-level attractions in Ulanqab City is close to random; that in Tongliao City and Wuhai City exhibits weak agglomeration characteristics; in Xing’an Prefecture, Chifeng City, Hohhot City, and Alashan Prefecture is strongly agglomerated; and the distribution in Hulunbuir City, Baotou City, Erdos City, Xilin Gol Prefecture, and Bayannaoer City shows an intermediate degree of agglomeration. (3) The distribution of A-level attractions in Inner Mongolia presents a two-core pattern. One core is centered in Hohhot City, covering Baotou City, Erdos City, and Ulanqab City, forming a highly dense tourism circle. The other core is centered in the northwest of Erdos City, covering Bayannaoer City and Wuhai City, forming a moderately dense tourism circle.

Geographical Science ResearchVol. 14(03)
Openalex Percentile: Top 81%
Diverse Aspects of Tourism Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Research on the Spatial Structure of A-Level Tourist Attractions in Inner Mongolia — 达嘎 钱 · Geographical Science Research (2025) | TGRS Research Map | TGRS