Journal of Geo-information Science ›› 2019, Vol. 21 ›› Issue (1): 46-58.doi: 10.12082/dqxxkx.2019.180311

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A Review of Urban Environmental Assessment based on Street View Images

Liying ZHANG1,2(), Tao PEI3,4,*(), Yijin CHEN1, Ci SONG3, Xiaoqian LIU5   

  1. 1. College of Geoscience and Surveying Engineering, China University of Mining& Technology, Beijing 100083, China;
    2. College of Information Science and Engineering, China University of Petroleum, Beijing 102249, China
    3. State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    4. University of Chinese Academy of Sciences, Beijing 100049, China
    5. College of Arts and Science of Beijing Union University, Beijing 100191, China
  • Received:2018-07-04 Revised:2018-10-22 Online:2019-01-20 Published:2019-01-20
  • Contact: Tao PEI;
  • Supported by:
    National Natural Science Foundation of China, No.41590845, 41525004, 41421001,41877523;Supported by a grant from State Key Laboratory of Resources and Environmental Information System


Urban environmental assessment research has traditionally adopted a method based on field survey, which is difficult to evaluate on a large scale and refined scale. Street view image has a wide coverage, can provide street-level landscape and intuitively reflect the city facade information, and have the advantage of lower cost than on-site data collection, so it provides a large sample data source and new research ideas for urban environmental assessment. Different from the sky view of remote sensing image and the user interaction data of geo-tagged social media, street view image is more focused on recording stereoscopic sectional view of the city street level from the perspective of people, which can represent scenes seen or felt from the ground on a fine scale, so it is more suitable to replace on-site observation of urban environmental assessment. The continuous breakthrough of artificial intelligence technology and its application in various fields make it possible to conduct urban environmental assessment research based on street view image on a wide range of spatial scales. In this paper, we first described and compared three categories of data sources commonly used in urban environmental assessment including street view image, remote sensing image and geo-tagged social media data, and summarized the advantages of street view image in urban environmental assessment. Then we classified the methods used in urban environment assessment based on street view image into the following four categories : methods based on image analysis, statistical analysis, artificial intelligence and spatial analysis. Next, from the urban physical, social, economic and aesthetic environment, we summarized the research and application of street view image in urban environmental assessment. Finally, we pointed out the innovations, limitations and future research directions of the urban environmental assessment based on street view image. On one hand, the application of artificial intelligence represented by deep learning promotes the research progress of urban environmental assessment on large-scale and fine-scale. On the other hand, in the era of big data, the integration of data source represented by street view image, remote sensing image, and geo-tagged social media data will help promote urban environmental assessment research from multiple perspectives and multi-level.

Key words: street view image, urban environmental assessment, urban factor, artificial intelligence, deep learning