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Combining GPS and space syntax analysis to improve understanding of visitor temporal–spatial behaviour: a case study of the Lion Grove in China

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  • Tiantian Zhang
  • Zefeng Lian
  • Yannan Xu

Abstract

Visitor tracking combined with space analysis has recently emerged as a method for understanding the relationship between visitor temporal–spatial behaviour and spatial features. In this study, 353 visitors were tracked using handheld GPS data loggers to enable calculation of visiting proportion, average time, and average speed in each space within the Lion Grove. Using ArcGIS to superimpose tracks and conduct a kernel density analysis, the popular and less-popular spaces were determined. The characteristics of the different spatial features were then analysed using Depthmap. The Spearman correlation was then employed to analyse the relationship between visitor temporal–spatial behaviour and the characteristic values of different spaces. The results demonstrate that walking accessibility decides the probability of a first-time visit, while the main factors attracting visitors to stay depends on the visual characteristics of the space, such as visual accessibility and visual permeability.

Suggested Citation

  • Tiantian Zhang & Zefeng Lian & Yannan Xu, 2020. "Combining GPS and space syntax analysis to improve understanding of visitor temporal–spatial behaviour: a case study of the Lion Grove in China," Landscape Research, Taylor & Francis Journals, vol. 45(4), pages 534-546, May.
    • Handle: RePEc:taf:clarxx:v:45:y:2020:i:4:p:534-546
    DOI: 10.1080/01426397.2020.1730775
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    Cited by:

    1. Dahao Zhang & Chunshan Zhou & Dongqi Sun & Ying Qian, 2022. "The influence of the spatial pattern of urban road networks on the quality of business environments: the case of Dalian City," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(7), pages 9429-9446, July.
    2. Zhi Yue & Jon Bryan Burley & Zhouxiao Cui & Houping Lei & Jing Zhou, 2021. "Visitor Capacity Considering Social Distancing in Urban Parks with Agent-Based Modeling," IJERPH, MDPI, vol. 18(13), pages 1-24, June.

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