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Tourist Landscape Preferences in a Historic Block Based on Spatiotemporal Big Data—A Case Study of Fuzhou, China

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  • Fan Liu

    (College of Landscape Architecture and Art, Fujian Agriculture and Forestry University, Fuzhou 350100, China
    Engineering Research Center for Forest Park of National Forestry and Grassland Administration, Fuzhou 350002, China)

  • Danmei Sun

    (College of Landscape Architecture and Art, Fujian Agriculture and Forestry University, Fuzhou 350100, China)

  • Yanqin Zhang

    (College of Landscape Architecture and Art, Fujian Agriculture and Forestry University, Fuzhou 350100, China
    Engineering Research Center for Forest Park of National Forestry and Grassland Administration, Fuzhou 350002, China)

  • Shaoping Hong

    (College of Landscape Architecture and Art, Fujian Agriculture and Forestry University, Fuzhou 350100, China)

  • Minhua Wang

    (College of Landscape Architecture and Art, Fujian Agriculture and Forestry University, Fuzhou 350100, China
    Engineering Research Center for Forest Park of National Forestry and Grassland Administration, Fuzhou 350002, China)

  • Jianwen Dong

    (College of Landscape Architecture and Art, Fujian Agriculture and Forestry University, Fuzhou 350100, China
    Engineering Research Center for Forest Park of National Forestry and Grassland Administration, Fuzhou 350002, China)

  • Chen Yan

    (College of Landscape Architecture and Art, Fujian Agriculture and Forestry University, Fuzhou 350100, China
    Engineering Research Center for Forest Park of National Forestry and Grassland Administration, Fuzhou 350002, China)

  • Qin Yang

    (College of Landscape Architecture and Art, Fujian Agriculture and Forestry University, Fuzhou 350100, China
    Engineering Research Center for Forest Park of National Forestry and Grassland Administration, Fuzhou 350002, China)

Abstract

Historic blocks are valuable architectural and landscape heritage, and it is important to explore the distribution characteristics of tourists to historic blocks and their landscape preferences to realize the scientific construction and conservation of historic blocks and promote their sustainable development. At present, few studies combine the analysis of tourist distribution characteristics with landscape preferences. This study takes the historic block of Three Lanes and Seven Alleys in Fuzhou as an example, combines field research and questionnaires to construct a landscape preference evaluation indicator system for the historic block, measures the distribution characteristics of tourists in the block through the heat value of tourist flow obtained from the Tencent regional heat map, and analyses the influence of landscape preference indicators on the heat value of tourist flow in the block through stepwise multiple linear regression. The research shows that: (1) the spatial and temporal variation in the heat value of tourist flow tends to be consistent throughout the block, from 7 a.m. to 6 p.m., showing a “rising, slightly fluctuating and then stabilizing” state, both on weekdays and on weekends. (2) The factors influencing the heat value of tourist flow in the different spatial samples are various, with commercial atmosphere, plant landscape, accessibility of the road space, architecture, and the surrounding environment having a significant impact on the heat value of tourist flow. Based on the analysis of the landscape preferences of tourists in the historic block, a landscape optimization strategy is proposed to provide a reference for the management and construction of the block.

Suggested Citation

  • Fan Liu & Danmei Sun & Yanqin Zhang & Shaoping Hong & Minhua Wang & Jianwen Dong & Chen Yan & Qin Yang, 2022. "Tourist Landscape Preferences in a Historic Block Based on Spatiotemporal Big Data—A Case Study of Fuzhou, China," IJERPH, MDPI, vol. 20(1), pages 1-20, December.
    • Handle: RePEc:gam:jijerp:v:20:y:2022:i:1:p:83-:d:1010246
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    References listed on IDEAS

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