IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v20y2022i1p83-d1010246.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/20/1/83/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/20/1/83/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Shumei Zhang & Wenshi Zhang & Ying Wang & Xiaoyu Zhao & Peihao Song & Guohang Tian & Audrey L. Mayer, 2020. "Comparing Human Activity Density and Green Space Supply Using the Baidu Heat Map in Zhengzhou, China," Sustainability, MDPI, vol. 12(17), pages 1-14, August.
    2. Ahmed Bindajam & Fadrul Hisham & Nashwan Al-Ansi & Javed Mallick, 2020. "Issues Regarding the Design Intervention and Conservation of Heritage Areas: The Historical Pedestrian Streets of Kuala Lumpur," Sustainability, MDPI, vol. 12(10), pages 1-14, May.
    3. Song, Yang & Lyu, Yang & Qian, Sitong & Zhang, Xinjia & Lin, Huiying & Wang, Shijun, 2022. "Identifying urban candidate brownfield sites using multi-source data: The case of Changchun City, China," Land Use Policy, Elsevier, vol. 117(C).
    4. He, Qingsong & Larkham, Peter & Wu, Jiayu, 2021. "Evaluating historic preservation zoning using a landscape approach," Land Use Policy, Elsevier, vol. 109(C).
    5. Qidi Dong & Jun Cai & Shuo Chen & Pengman He & Xuli Chen, 2022. "Spatiotemporal Analysis of Urban Green Spatial Vitality and the Corresponding Influencing Factors: A Case Study of Chengdu, China," Land, MDPI, vol. 11(10), pages 1-17, October.
    6. Tingting Ding & Wenzhuo Sun & Yuan Wang & Rui Yu & Xiaoyu Ge, 2022. "Comparative Evaluation of Mountain Landscapes in Beijing Based on Social Media Data," Land, MDPI, vol. 11(10), pages 1-30, October.
    7. Jiawang Zhang & Jianguo Wang & Jingmei Tao & Siqi Tang & Wutao Zhao, 2022. "Integrated Zoning Protection of Urban Remains from Perspective of Sustainable Development—A Case Study of Changchun," Sustainability, MDPI, vol. 14(10), pages 1-20, May.
    8. Wang, Degen & Niu, Yu & Lu, Lin & Qian, Jia, 2015. "Tourism spatial organization of historical streets – A postmodern perspective: The examples of Pingjiang Road and Shantang Street, Suzhou, China," Tourism Management, Elsevier, vol. 48(C), pages 370-385.
    9. Jun Shao & Xuesong Chang & Alastair M. Morrison, 2017. "How Can Big Data Support Smart Scenic Area Management? An Analysis of Travel Blogs on Huashan," Sustainability, MDPI, vol. 9(12), pages 1-17, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Xiaoyang Zhu & Shang-Chia Chiou, 2022. "A Study on the Sustainable Development of Historic District Landscapes Based on Place Attachment among Tourists: A Case Study of Taiping Old Street, Taiwan," Sustainability, MDPI, vol. 14(18), pages 1-25, September.
    2. Liguo Zeng & Chunqing Liu & Mo Wang & Chengling Zhou & Guanhong Xie & Binsheng Wu, 2023. "Delineating the Dichotomy and Synergistic Dynamics of Environmental Determinants on Temporally Responsive Park Vitality," Sustainability, MDPI, vol. 15(17), pages 1-17, August.
    3. Xiaojia Liu & Xi Chen & Yan Huang & Weihong Wang & Mingkan Zhang & Yang Jin, 2023. "Landscape Aesthetic Value of Waterfront Green Space Based on Space–Psychology–Behavior Dimension: A Case Study along Qiantang River (Hangzhou Section)," IJERPH, MDPI, vol. 20(4), pages 1-22, February.
    4. Bo Wendy Gao & Chris Zhu & Hongmei Song & Ianthe M. Belisle Dempsey, 2022. "Interpreting the perceptions of authenticity in virtual reality tourism through postmodernist approach," Information Technology & Tourism, Springer, vol. 24(1), pages 31-55, March.
    5. Fang Wang & Zhao Liu & Shanshan Shang & Yuelei Qin & Bihu Wu, 2019. "Vitality continuation or over-commercialization? Spatial structure characteristics of commercial services and population agglomeration in historic and cultural areas," Tourism Economics, , vol. 25(8), pages 1302-1326, December.
    6. Zhenrao Cai & Dan Gao & Xin Xiao & Linguo Zhou & Chaoyang Fang, 2023. "The Flow of Green Exercise, Its Characteristics, Mechanism, and Pattern in Urban Green Space Networks: A Case Study of Nangchang, China," Land, MDPI, vol. 12(3), pages 1-19, March.
    7. Huaibin Wei & Liyuan Zhang & Jing Liu, 2022. "Hydrodynamic Modelling and Flood Risk Analysis of Urban Catchments under Multiple Scenarios: A Case Study of Dongfeng Canal District, Zhengzhou," IJERPH, MDPI, vol. 19(22), pages 1-18, November.
    8. Yilei Tao & Ying Wang & Xinyu Wang & Guohang Tian & Shumei Zhang, 2022. "Measuring the Correlation between Human Activity Density and Streetscape Perceptions: An Analysis Based on Baidu Street View Images in Zhengzhou, China," Land, MDPI, vol. 11(3), pages 1-19, March.
    9. Karima Kourtit & Peter Nijkamp & João Romão, 2019. "Cultural Heritage Appraisal by Visitors to Global Cities: The Use of Social Media and Urban Analytics in Urban Buzz Research," Sustainability, MDPI, vol. 11(12), pages 1-21, June.
    10. Hongxu Guo & Zhuoqiao Luo & Mengtian Li & Shumin Kong & Haiyan Jiang, 2022. "A Literature Review of Big Data-Based Urban Park Research in Visitor Dimension," Land, MDPI, vol. 11(6), pages 1-17, June.
    11. Qidi Dong & Jun Cai & Shuo Chen & Pengman He & Xuli Chen, 2022. "Spatiotemporal Analysis of Urban Green Spatial Vitality and the Corresponding Influencing Factors: A Case Study of Chengdu, China," Land, MDPI, vol. 11(10), pages 1-17, October.
    12. Jinah Park & Alastair M. Morrison & Bihu Wu & Yeung Kong, 2018. "Korean Golf Tourism in China: Place, Perception and Narratives," Sustainability, MDPI, vol. 10(4), pages 1-20, April.
    13. Ping Li & Fuyuan Wang & Xin Zheng & Jinku Huang, 2020. "Influencing Factors and Mechanism of Urban Community Tourism Development: A Case Study of Beijing," Sustainability, MDPI, vol. 12(7), pages 1-18, April.
    14. D'Urso, Pierpaolo & Disegna, Marta & Massari, Riccardo & Osti, Linda, 2016. "Fuzzy segmentation of postmodern tourists," Tourism Management, Elsevier, vol. 55(C), pages 297-308.
    15. Shuang Song & Hidenori Kawamura & Junichi Uchida & Hajime Saito, 2019. "Determining tourist satisfaction from travel reviews," Information Technology & Tourism, Springer, vol. 21(3), pages 337-367, September.
    16. Qidi Dong & Heng Lu & Xiaohong Luo & Pengman He & Di Li & Linjia Wu & Yundi Wei & Xuli Chen, 2023. "Evaluation and Optimization of Green Space Fairness in Urban Built-Up Areas Based on an Improved Supply and Demand Model: A Case Study of Chengdu, China," Sustainability, MDPI, vol. 15(20), pages 1-22, October.
    17. Angela Chantre-Astaiza & Laura Fuentes-Moraleda & Ana Muñoz-Mazón & Gustavo Ramirez-Gonzalez, 2019. "Science Mapping of Tourist Mobility 1980–2019. Technological Advancements in the Collection of the Data for Tourist Traceability," Sustainability, MDPI, vol. 11(17), pages 1-32, August.
    18. Hongyu Gong & Xiaozihan Wang & Zihao Wang & Ziyi Liu & Qiushan Li & Yunhan Zhang, 2022. "How Did the Built Environment Affect Urban Vibrancy? A Big Data Approach to Post-Disaster Revitalization Assessment," IJERPH, MDPI, vol. 19(19), pages 1-25, September.
    19. Ye Yang & Chaokun Li & Zhiwen Chen & Yingying Dong & Nan Zhang & Yulu Wei & Hui Xi & Wendong Wang, 2022. "Characterization and Assessment of Organic Pollution at a Fumaric Acid Chemical Brownfield Site in Northwestern China," Sustainability, MDPI, vol. 14(19), pages 1-15, September.
    20. Tianyang Ge & Wenjun Hou & Yang Xiao, 2023. "Study on the Regeneration of City Centre Spatial Structure Pedestrianisation Based on Space Syntax: Case Study on 21 City Centres in the UK," Land, MDPI, vol. 12(6), pages 1-26, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:20:y:2022:i:1:p:83-:d:1010246. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.