RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN >> 2020, Vol. 29 >> Issue (11): 2384-2395.doi: 10.11870/cjlyzyyhj202011006

Previous Articles     Next Articles

Classification and Temporal-Spatial Distribution Characteristics of Rural Tourism Destinations in Suburb of Wuhan City

FENG Juan 1,2,TAN Hui-li 1,2,LV Jiang-rong 1,2  ,CHENG Shao-wen 1,2   

  1. (1.  College of Urban and Environmental Science,Central China Normal University,Wuhan 430079, China;2. Wuhan Branch of China Tourism Academy,Wuhan 430079,China)
  • Online:2020-11-20 Published:2020-12-17

Abstract: Exploring the temporal-spatial evolution of suburban rural tourism destinations and its determinants of spatial distribution is conducive to guiding orderly rural tourism development in suburban area,the hot area of rural tourism development; and it is helpful for guiding suburban rural tourism development practice and rural-revitalization-strategy policy making. 534 rural tourism destinations within Wuhan City’s rural urban fringe were analyzed and classified, and the mathematical statistics and spatial analysis methods including the nearest neighbor index, kernel density estimation and Hotspot analysis were fully applied to study the temporal-spatial distribution features and its influencing factors. The conclusions are as follows: (1) Rural tourism development in suburban Wuhan has experienced four distinct development periods; and the distribution of rural destination hot spots and cold spots in Wuhan has been changing dynamically; now, three tourism agglomeration areas have been formed in the northwest, west and south of Wuhan. (2) The types of rural tourism destinations in Wuhan are increasingly diversified, from the original two types (sightseeing tourism destinations and cultural tourism destinations) to current five types (sightseeing tourism destinations, farming tourism destinations, agricultural technology tourism destinations, cultural tourism destinations, and special village and town), and there are differences in the development speed, scale and agglomeration of different types of rural tourist destinations. Thereinto, sightseeing tourism destinations have the largest development scale, with a significant trend of concentrated development, forming a multi-core development distribution pattern; and farming tourism destinations started later, but with the fastest development speed and the highest degree of concentration;meanwhile, special villages and towns also experience some agglomeration distribution with indistinct agglomeration evolution trend, and the radiation range of the polar core are always small;cultural tourism destinations gradually evolved from scattered distribution to a spatial pattern combining "great dispersion" and "small agglomeration";agricultural technology tourism destinations have been in the state of dispersion rather than agglomeration.(3) Distance from the central urban area, policies factor, traffic conditions, the hydrological factors and quality of rural tourism attractions, all are determinants of the spatial and temporal distribution characteristics of rural tourist destinations with different impacts on the spatial and temporal distribution of different types of tourist destinations. This research ended with some suburban rural tourism development references and suggestions.

No related articles found!
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
[1] LI Jian-Bao, HUANG Xian-Jin, MENG Hao, ZHOU Yan, XU Guo-Liang, WU Chang-Yan. Analysis of Cumulative Target Completion Rate of Carbon Intensity in China During the Period of “Twelfth Five-Year”[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2018, 27(08): 1655 .
[2] XIONG Hong-bin, ZHOU Ling-yan. Using PSR-grey Target Model to Assess Ecological and Environmental Impact of Flood Regulation Project At Riparian Zone Around Lake Chaohu[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2018, 27(09): 1977 -1987 .
[3] LI Jia-yi, KUANG Hong-hai, TAN Chao, WANG Pei-pei.  

Spatio-Temporal Characteristics and Ecological Response of Urban Expansion in the Yangtze River Economic Zone [J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2018, 27(10): 2153 -2161 .

[4] TANG Zijun, CHEN Long, QIN Jun, ZHENG Xiang . Numerical Simulation of the Local Flow Field and the Boundary Layer Structure in the Pollution Process in Wuhan[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2018, 27(11): 2540 -2547 .
[5] WANG Dongxiang, ZHANG Yiming, WANG Ruicheng, ZHAO Bingyan, ZHANG Zhiqi, HUANG Xianyu, . Characteristics of Dissolved Organic Matter in Pore Water from the Dajiuhu Peatland, Central China[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2018, 27(11): 2568 -2577 .
[6] WANG Hai-li, HAN Guang-zhong, XIE Xian-jian. Spatiotemporal Pattern Evolvement Based on the DEA Model and Its Driving Factors of Arable Land Utilization Efficiency of the Southwest Region in China[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2018, 27(12): 2784 -2795 .
[7] WANG Cong-cong, WANG Yi-cheng, MA Ren-feng, WANG Jing-min. Impact of Economic Agglomeration on Pollution of Smog Based on Spatial Econometric Model:The Case Study of Yangtze River Delta[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2019, 28(01): 1 -11 .
[8] ZHAO Shu-cheng, ZHANG Zhan-yu, XIA Ji-hong, YANG Jie, SHENG Li-ting, TANG Dan, CHEN Xiao-an, . Phosphorus Adsorption Characteristics of Riparian Soils Surrounding Poyang Lake[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2019, 28(01): 166 -174 .
[9] RUAN Tian, ZHA Qian-yu, YANG Ru, GAO Chao. Effects on Runoff Above the Cuntan Station Area in the Yangtze River Basin Under the 1.5℃ and 2.0℃ Global Warming[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2019, 28(02): 407 -415 .
[10] SHAO Yi-ting, HE Yi, MU Xing-min, GAO Peng, ZHAO Guang-ju, SUN Wen-yi, . Spatiotemporal Variation of Rainfall Erosivity in Qin-Ba Mountains Region[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2019, 28(02): 416 -425 .