PROGRESS IN GEOGRAPHY ›› 2019, Vol. 38 ›› Issue (12): 1865-1876.doi: 10.18306/dlkxjz.2019.12.004

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

YIN Jiaojiao1,2, WANG Xiaofang1,2,*(), JIA Yaoyan1,2, LI Chunming1, WANG Juan3   

  1. 1. Key Laboratory for Geographical Process Analysis & Simulation, Central China Normal University,Wuhan 430079, China
    2. Wuhan Branch of China Tourism Academy,Wuhan 430079, China
    3. Xinyang Normal University, Xinyang 464000, Henan, China
  • Received:2018-12-19 Revised:2019-04-16 Online:2019-12-28 Published:2019-12-28
  • Contact: WANG Xiaofang E-mail:wangxiaofang@mail.ccnu.edu.cn
  • Supported by:
    Fundamental Research Funds for the Central Universities(CCNU19QN053);Fundamental Research Funds for the Central Universities(CCNU19TD002)

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