内蒙古红色旅游资源空间分布及可达性分析

doi:10.12118/j.issn.1000-6060.2022.423

摘要/Abstract

摘要：

厘清红色旅游资源空间分布特征，明晰其空间可达性是旅游规划制定精品红色旅游线路的前提基础。利用核密度、地理集中指数等方法揭示了内蒙古红色旅游景点空间分布特征，基于高德地图路径规划功能实时获取道路交通状况，构建了红色景点空间可达性测度模型，采用地理探测器阐明了可达性差异影响因素。结果表明：（1）内蒙古红色旅游景点空间分布呈“大分散、小集聚”现象，以呼和浩特市和兴安盟为核心区域核密度值较高，尤以呼和浩特市周边显著。各盟市红色旅游资源类型特色鲜明，呼和浩特市和包头市类型较为齐全，但分布均衡性较差。（2）内蒙古红色旅游景点间通行时间成本较高，平均通行时间256.229 min，可达性较差，且内部差异较大，极差值约274.1 min。可达性系数值域范围为0.752~1.816，其空间格局呈“中心-外围”圈层状逐渐递减特征，呼伦贝尔市和阿拉善盟地区成为可达性“边缘洼地”。（3）景点区域位置、景点核密度因子对可达性差异解释力最强，且两因子交互作用解释力最大。任意两因子对可达性分异的交互作用均为双因子增强或非线性增强关系，不存在独立或减弱关系。

关键词: 红色旅游, 空间分布, 路径规划, 可达性, 内蒙古

Abstract:

Clarifying the spatial distribution characteristics of red tourism resources and mastering their spatial accessibility are the prerequisite basis for tourism planning to formulate the red tourism routes. The red tourism resources in Inner Mongolia of China are rich and varied, having a great ethnic regional characteristics and playing an irreplaceable role in promoting ethnic identity and forging the Chinese national community. However, the limited cognition of the spatial distribution and accessibility of red tourism resources in Inner Mongolia has seriously hindered the high-quality development of red tourism. In this study, the kernel density and geographical concentration index were used to reveal the spatial distribution characteristics of red tourism resources in Inner Mongolia. The spatial accessibility measurement model of red scenic spots was constructed based on real-time road traffic conditions obtained from the path planning function of the Amap. Geographical detectors reveal the differences in accessibility for the red tourism spots. The following results were obtained: (1) The spatial distribution of red tourism spots in Inner Mongolia has obvious regional differences, with characteristics of “large dispersion and small agglomeration”. The largest kernel density values are observed in Hohhot City and Xing’an League, especially in Hohhot City. Obvious differences are found in the types of red tourism spots in each city. Hohhot City and Baotou City have relatively complete types, but the spatial distribution equilibrium is poor. (2) The cost of travel time between red tourism spots in Inner Mongolia is high, with an average travel time of 256.229 min. The accessibility of red tourism spots in Inner Mongolia is poor, and the internal difference is significant. The range of accessibility coefficient is 0.752-1.816. The spatial distribution of accessibility of red tourism spots shows the “center-periphery” circle gradually decreasing structure. The accessibility of red scenic spots in the Hulun Buir City and Alagxa League is low. (3) The spot regional location and regional spot density had the strongest explanatory power for the difference in accessibility, and the interaction of these two factors had the greatest explanatory power. The interaction of any two factors on accessibility differentiation is a two-factor enhancement or a nonlinear enhancement relationship, and no independent or weakening relationship is observed.

Key words: red tourism, space distribution, route planning, accessibility, Inner Mongolia

周海涛, 马钰松, 樊亚宇, 宁小莉. 内蒙古红色旅游资源空间分布及可达性分析[J]. 干旱区地理, 2023, 46(5): 814-822.

ZHOU Haitao, MA Yusong, FAN Yayu, NING Xiaoli. Spatial distribution and accessibility analysis of red tourism resources in Inner Mongolia[J]. Arid Land Geography, 2023, 46(5): 814-822.

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交互作用类型	q值关系
非线性减弱	q(X₁∩X₂)<Min[q(X₁), q(X₂)]
单因子非线性减弱	Min[q(X₁), q(X₂)]<q(X₁∩X₂)<Max[q(X₁), q(X₂)]
双因子增强	q(X₁∩X₂)>Max[q(X₁), q(X₂)]
独立	q(X₁∩X₂)=q(X₁)+q(X₂)
非线性增强	q(X₁∩X₂)>q(X₁)+q(X₂)

红色旅游资源类型	呼和浩特市	包头市	鄂尔多斯市	呼伦贝尔市	兴安盟	巴彦淖尔市	乌海市	乌兰察布市	赤峰市	通辽市	阿拉善盟	锡林郭勒盟
革命机构办公地	4	3	2	2	8	0	1	0	0	0	0	4
重大事件发生地	4	2	4	5	3	1	0	2	4	3	1	3
革命人物故居/纪念馆	5	3	1	3	0	1	1	1	1	3	0	0
革命烈士陵园	6	1	2	4	5	1	0	4	8	3	1	2
各类革命博物馆/纪念馆	4	5	4	5	2	3	3	0	1	2	0	2
其他	2	4	0	0	2	2	1	0	0	0	1	2

因子	DEM	景点核密度	地理集中指数	路网密度	地形起伏度	景点区域位置	县域GDP
DEM	0.228
景点核密度	0.659^a	0.472
地理集中指数	0.555^b	0.655^b	0.150
路网密度	0.405^b	0.652^b	0.350^b	0.080
地形起伏度	0.288^b	0.538^b	0.263^b	0.192^b	0.037
景点区域位置	0.755^a	0.863^b	0.847^b	0.703^b	0.636^b	0.612
县域GDP	0.772^b	0.781^b	0.481^b	0.381^b	0.349^b	0.718^b	0.271