IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0276628.html
   My bibliography  Save this article

The influence of neighborhood quality on tourism in China: Using Baidu Street View pictures and deep learning techniques

Author

Listed:
  • Jieping Chen
  • Zhaowei Wu
  • Shanlang Lin

Abstract

Previous studies have investigated the determinants of urban tourism development from the various attributes of neighborhood quality. However, traditional methods to assess neighborhood quality are often subjective, costly, and only on a small scale. To fill this research gap, this study applies the recent development in big data of street view images, deep learning algorithms, and image processing technology to assess quantitatively four attributes of neighborhood quality, namely street facilities, architectural landscape, green or ecological environment, and scene visibility. The paper collects more than 7.8 million Baidu SVPs of 232 prefecture-level cities in China and applies deep learning techniques to recognize these images. This paper then tries to examine the influence of neighborhood quality on regional tourism development. Empirical results show that both levels of street facilities and greenery environment promote tourism. However, the construction intensity of the landscape has an inhibitory influence on the development of tourism. The threshold test shows that the intensity of the influence varies with the city’s overall economic level. These conclusions are of great significance for the development of China’s urban construction and tourism economy, and also provide a useful reference for policymakers. The methodological procedure is reduplicative and can be applied to other challenging cases.

Suggested Citation

  • Jieping Chen & Zhaowei Wu & Shanlang Lin, 2022. "The influence of neighborhood quality on tourism in China: Using Baidu Street View pictures and deep learning techniques," PLOS ONE, Public Library of Science, vol. 17(11), pages 1-20, November.
    • Handle: RePEc:plo:pone00:0276628
    DOI: 10.1371/journal.pone.0276628
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0276628
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0276628&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0276628?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Lu, Yi & Sarkar, Chinmoy & Xiao, Yang, 2018. "The effect of street-level greenery on walking behavior: Evidence from Hong Kong," Social Science & Medicine, Elsevier, vol. 208(C), pages 41-49.
    2. repec:plo:pone00:0171110 is not listed on IDEAS
    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. Lingchao Meng & Kuo-Hsun Wen & Zhijie Zeng & Richard Brewin & Xiaolei Fan & Qiong Wu, 2020. "The Impact of Street Space Perception Factors on Elderly Health in High-Density Cities in Macau—Analysis Based on Street View Images and Deep Learning Technology," Sustainability, MDPI, vol. 12(5), pages 1-19, February.
    2. Ahmad Adeel & Bruno Notteboom & Ansar Yasar & Kris Scheerlinck & Jeroen Stevens, 2021. "Sustainable Streetscape and Built Environment Designs around BRT Stations: A Stated Choice Experiment Using 3D Visualizations," Sustainability, MDPI, vol. 13(12), pages 1-21, June.
    3. Yi Peng & Xu Cui & Bingjie Yu & Runze Liu & Hong Li, 2025. "How 2D and 3D Built Environment Impact Urban Vitality: Evidence from Overhead-Level to Eye-Level Urban Form Metrics," Land, MDPI, vol. 14(5), pages 1-23, May.
    4. Wu, Fangning & Li, Wenjing & Qiu, Waishan, 2023. "Examining non-linear relationship between streetscape features and propensity of walking to school in Hong Kong using machine learning techniques," Journal of Transport Geography, Elsevier, vol. 113(C).
    5. Omer Dogan & Jaewon Han & Sugie Lee, 2020. "Analysis of Large-Scale Residential Development on Walking Environments in Surrounding Neighborhoods: A Before-and-After Comparison of Apartment Complex Developments in Seoul, Korea," Sustainability, MDPI, vol. 12(18), pages 1-17, September.
    6. Natalia Fumagalli & Matteo Maccarini & Roberto Rovelli & Rita Berto & Giulio Senes, 2020. "An Exploratory Study of Users’ Preference for Different Planting Combinations along Rural Greenways," Sustainability, MDPI, vol. 12(5), pages 1-19, March.
    7. Chen, Long & Lu, Yi, 2025. "Investigating dual-directional collective human mobility patterns of place-level incoming and outgoing travel behaviors using big data," Journal of Transport Geography, Elsevier, vol. 125(C).
    8. Yu Ye & Hanting Xie & Jia Fang & Hetao Jiang & De Wang, 2019. "Daily Accessed Street Greenery and Housing Price: Measuring Economic Performance of Human-Scale Streetscapes via New Urban Data," Sustainability, MDPI, vol. 11(6), pages 1-21, March.
    9. Cerin, Ester & Conway, Terry L. & Adams, Marc A. & Barnett, Anthony & Cain, Kelli L. & Owen, Neville & Christiansen, Lars B. & van Dyck, Delfien & Mitáš, Josef & Sarmiento, Olga L. & Davey, Rachel C. , 2018. "Objectively-assessed neighbourhood destination accessibility and physical activity in adults from 10 countries: An analysis of moderators and perceptions as mediators," Social Science & Medicine, Elsevier, vol. 211(C), pages 282-293.
    10. Dong-ah Choi & Keunhyun Park & Alessandro Rigolon, 2020. "From XS to XL Urban Nature: Examining Access to Different Types of Green Space Using a ‘Just Sustainabilities’ Framework," Sustainability, MDPI, vol. 12(17), pages 1-25, August.
    11. Yupei Jiang & Honghu Sun, 2021. "Exploring the Characteristics and Influencing Factors of Leisure Walking Based on the Demand of Behavior," Sustainability, MDPI, vol. 13(8), pages 1-17, April.
    12. Yusuke Kumakoshi & Sau Yee Chan & Hideki Koizumi & Xiaojiang Li & Yuji Yoshimura, 2020. "Standardized Green View Index and Quantification of Different Metrics of Urban Green Vegetation," Sustainability, MDPI, vol. 12(18), pages 1-16, September.
    13. Zang, Peng & Lu, Yi & Ma, Jing & Xie, Bo & Wang, Ruoyu & Liu, Ye, 2019. "Disentangling residential self-selection from impacts of built environment characteristics on travel behaviors for older adults," Social Science & Medicine, Elsevier, vol. 238(C), pages 1-1.
    14. Yang, Haoran & Zhang, Qinran & Helbich, Marco & Lu, Yi & He, Dongsheng & Ettema, Dick & Chen, Long, 2022. "Examining non-linear associations between built environments around workplace and adults’ walking behaviour in Shanghai, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 155(C), pages 234-246.
    15. Zhang, Yonglin & Li, Shanlin & Dong, Rencai & Deng, Hongbing & Fu, Xiao & Wang, Chenxing & Yu, Tianshu & Jia, Tianxia & Zhao, Jingzhu, 2021. "Quantifying physical and psychological perceptions of urban scenes using deep learning," Land Use Policy, Elsevier, vol. 111(C).
    16. Winston Yap & Jiat-Hwee Chang & Filip Biljecki, 2023. "Incorporating networks in semantic understanding of streetscapes: Contextualising active mobility decisions," Environment and Planning B, , vol. 50(6), pages 1416-1437, July.
    17. Jing Shen & Jian Cui & Mengfei Li & Caitlin Vitosky Clarke & Yuanyuan Gao & Ruopeng An, 2021. "Green Space and Physical Activity in China: A Systematic Review," Sustainability, MDPI, vol. 13(23), pages 1-21, December.
    18. Shima Hamidi & Somayeh Moazzeni, 2019. "Examining the Relationship between Urban Design Qualities and Walking Behavior: Empirical Evidence from Dallas, TX," Sustainability, MDPI, vol. 11(10), pages 1-14, May.
    19. Chao Xiao & Qian Shi & Chen-Jie Gu, 2021. "Assessing the Spatial Distribution Pattern of Street Greenery and Its Relationship with Socioeconomic Status and the Built Environment in Shanghai, China," Land, MDPI, vol. 10(8), pages 1-19, August.
    20. Peijin Sun & Yan Song & Wei Lu, 2022. "Effect of Urban Green Space in the Hilly Environment on Physical Activity and Health Outcomes: Mediation Analysis on Multiple Greenery Measures," Land, MDPI, vol. 11(5), pages 1-19, April.

    More about this item

    Statistics

    Access and download statistics

    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:plo:pone00:0276628. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.