旅游扶贫重点村空间可达性分布特征及影响因素研究

doi:10.18306/dlkxjz.2019.12.004

Abstract

Abstract:

In the context of rural revitalization and poverty alleviation through tourism proposed by the state, in order to give play to the driving role of tourism transportation in regional development, it is important to provide a theoretical basis for the construction of key villages for poverty alleviation through tourism and the acceleration of regional poverty alleviation. Taking 258 tourism poverty alleviation key villages of in the Wuling Mountain area of Hubei Province as research samples, this study used the raster cost-weighted distance algorithm and the geographically weighted regression (GWR) model to explore the spatial differences in the accessibility of tourism transportation and the influence degree and direction of the influencing factors. The results show that: In the Wuling Mountain area, the average time to reach the tourism poverty alleviation key villages is 1.82 hours, the overall regional accessibility is relatively poor, and the travel cost is high. Factors affecting the accessibility of tourism poverty alleviation key villages in both the natural and social dimensions were extracted. The order of the impact of each influencing factor in the region is as follows: shortest path from the nearest county and city > elevation > tourism resource endowment in the surrounding area > shortest distance from a river > shortest distance from the surrounding scenic spot > slope. The shortest distance from a river and surrounding tourism resource endowment are negatively correlated with the cost of access, while other factors are positively correlated with the cost of access. The unit change of the shortest distance from the surrounding scenic spot and the slope value has relatively insignificant influence on the spatial difference of access cost.

Key words: tourism poverty alleviation key villages, accessibility, geographical weighted regression (GWR), Wuling Mountain area in Hubei Province

YIN Jiaojiao, WANG Xiaofang, JIA Yaoyan, LI Chunming, WANG Juan. Spatial accessibility distribution characteristics and influencing factors of the tourism poverty alleviation key villages in Wuling Mountain area, Hubei Province[J].PROGRESS IN GEOGRAPHY, 2019, 38(12): 1865-1876.

Figures/Tables 8

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References 31

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分类依据	影响因素	变量表示	量化标准	最小值	最大值	平均值	标准差	预期符号
自然因素	地形	D_hei	高程/m	92	1809	986.25	186.16	+
	地势	D_slo	坡度/(°)	1.31	46.43	15.77	9.26	+
	河流	D_riv	距河流最短距离/m	0	711.26	108.77	108.43	-
人文因素	城镇发展	D_city	距最邻近县市最短路径/km	3.3	131.4	52.44	28.12	+
	景区建设	D_sce	距周边景区最短距离/m	258.72	30789.61	8925.71	6194.78	+
	资源禀赋	D_res	周边旅游资源禀赋	0	28.5	4.86	5.07	-

模型类型	R²	调整R²	AIC_c
Global OLS回归	0.3222524	0.303555	649.435744
GWR回归	0.859022	0.780391	431.296964
GWR回归改进效果	0.5367696	0.476836	218.13878

变量	极小值	25%分位值	中位数	75%分位值	极大值	均值	标准差
D_hei^*	-0.754	0.059	0.113	0.218	0.501	0.121	0.188
D_slo	-0.393	-0.053	0.014	0.113	0.342	0.016	0.116
D_riv^*	-0.983	-0.103	-0.055	0.031	0.251	-0.060	0.164
D_city^**	-0.185	0.267	0.524	0.627	0.825	0.439	0.241
D_sce	-0.546	-0.122	0.004	0.079	0.194	-0.026	0.145
D_res^*	-0.952	-0.147	-0.051	0.038	0.593	-0.069	0.219
条件数	1.995	2.973	3.556	4.361	10.776	3.975	1.574
局部R²	0.055	0.295	0.541	0.669	0.958	0.495	0.222
残差	-1.083	-0.170	0.021	0.211	1.738	0.021	0.375

Spatial accessibility distribution characteristics and influencing factors of the tourism poverty alleviation key villages in Wuling Mountain area, Hubei Province

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