SCIENTIA GEOGRAPHICA SINICA ›› 2023, Vol. 43 ›› Issue (8): 1360-1370.doi: 10.13249/j.cnki.sgs.2023.08.005

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Simulation of the spatial pattern of human travel activity intensity based on geodetector and maximum entropy model: A case study of Yunnan Province

Qin Shujie1(), Qian Tianlu2, Wu Zhaoning1, Li Yunhao1, Wang Jiechen1,3,*()   

  1. 1. School of Geography and Ocean Science, Nanjing University/Key Laboratory for Land Satellite Remote Sensing Applications of Ministry of Natural Resources/Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Nanjing 210023, Jiangsu, China
    2. School of Geographic and Biologic Information, Nanjing University of Posts and Telecommunications, Nanjing 210023, Jiangsu, China
    3. Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, Jiangsu, China
  • Received:2022-01-28 Revised:2022-10-03 Online:2023-08-20 Published:2023-08-30
  • Contact: Wang Jiechen;
  • Supported by:
    National Natural Science Foundation of China(41871294)


Quantitative evaluation of the human travel activity intensity (hereinafter referred to as "human travel intensity") is a fundamental element of human disturbance research, which is of utmost importance for the preservation of biodiversity. Taking the difference between urban areas and non-urban areas into account, in order to improve the response of human travel intensity to each type of environmental variable, this paper focuses on the non-urban areas of Yunnan Province, based on the Tencent location big data, using the geodetector and maximum entropy model to investigate the impact of environmental variables on human travel intensity. The results of the paper reveal that the environmental variables affecting the human travel intensity in the non-urban areas of Yunnan Province present a nonlinear enhancement or bivariate enhancement type under the interaction, and the combination of the distance to residences and the land cover type has the largest explanatory power for the human travel intensity. The prediction accuracy of the maximum entropy model meets the "good" criterion according to the standard (Area Under Curve, AUC= 0.855), and the human travel intensity in the non-urban areas of Yunnan Province shows a general pattern of "high in the east and low in the west". Among all the environmental variables, distance to residences, land cover type, distance to roads, and slope are the main influencing variables, and the cumulative contribution of these four environmental variables exceeds 90%. As a whole, human travel intensity in the non-urban areas of Yunnan Province is concentrated near residences that have gentle topography, a mild climate, moderate precipitation, and easily accessible transportation. The findings of the paper can be utilized to gain an understanding of the factors that are influencing the heterogeneity of human travel and can be a source of guidance for species protection and development in Yunnan Province.

Key words: Yunnan Province, human travel activity intensity, geodetector, maximum entropy model

CLC Number: 

  • P942