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WANG Jun, LI Bin, ZHANG Huanxue, XING Hanfa, CAO Duanguang. An Analysis of the Spatial-Temporal Accessibility and Change Intensity of Attraction-oriented Parks[J]. Journal of South China Normal University (Natural Science Edition), 2021, 53(6): 88-95. DOI: 10.6054/j.jscnun.2021097
Citation: WANG Jun, LI Bin, ZHANG Huanxue, XING Hanfa, CAO Duanguang. An Analysis of the Spatial-Temporal Accessibility and Change Intensity of Attraction-oriented Parks[J]. Journal of South China Normal University (Natural Science Edition), 2021, 53(6): 88-95. DOI: 10.6054/j.jscnun.2021097
shu

An Analysis of the Spatial-Temporal Accessibility and Change Intensity of Attraction-oriented Parks

  • 1.

    School of Geography and Environment, Shandong Normal University, Jinan 250300, China

  • 2.

    School of Geography, South China Normal University, Guangzhou 510631, China

  • 3.

    SCNU Qingyuan Institute of Science and Technology Innovation Co., Ltd., Qingyuan 511517, China

  • 4.

    Guangdong Normal University Weizhi Information Technology Co., Ltd., Qingyuan 511517, China

  • 5.

    College of Surveying and Geo-Informatics, Shandong Jianzhu University, Jinan 250101, China

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  • Received Date: February 03, 2021
  • Available Online: January 09, 2022
    Graphical Abstract
    • Abstract
  • Considering that the accessibility of urban parks is affected by many environmental factors and undergoes dynamic change in time, a research method for the spatial-temporal accessibility of attraction-oriented urban parks (STAAOP) is proposed by establishing a park attraction evaluation model and introducing time-based real-time navigation data. Firstly, based on the mass-source geographic information data, a park attraction evaluation model is constructed from multiple perspectives using the entropy weight method; then, based on the attraction evaluation results and the time-based real-time navigation data, an accessibility measurement model is constructed using the two-step mobile search method; finally, the standard deviation of accessibility change results is calculated and the clustering regions and the abnormal regions of accessibility change are identified using the local spatial autocorrelation analysis method. The intensity of accessibility change is analyzed from the overall and typical area perspective. Taking Jinan city for example, the results of this study show that the proposed STAAOP method can better capture the dynamic changes of the accessibility of urban parks and achieve better results both overall and regionally. This method provides a new idea and reference for more accurate and real evaluation of the accessibility of urban parks.
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    • References (25)
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