LiDAR-based three-dimensional street landscape indices for urban habitability |
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| Authors: | Liang Cheng Sensen Chu Shuyi Li Yi Yuan Yu Wang Manchun Li |
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| Institution: | 1.Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology,Nanjing University,Nanjing,China;2.Collaborative Innovation Center for the South Sea Studies,Nanjing University,Nanjing,China;3.Collaborative Innovation Center of Novel Software Technology and Industrialization,Nanjing University,Nanjing,China;4.Department of Geographic Information Science,Nanjing University,Nanjing,People’s Republic of China;5.Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application,Nanjing,China |
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| Abstract: | Streets are like the skeleton of a city. They not only guarantee urban traffic functions and facilitate business activities, but also perform an integral component of the urban landscape. Urban habitability, that is to judge whether a place is suitable for people to live, has been a popular topic for years. A mobile laser scanning (MLS) system can obtain close-range three-dimensional (3D) light detection and ranging (LiDAR) data of the sides and surfaces of urban streets. This study explored the possibility of analyzing urban street space landscapes based on MLS LiDAR, and proposed four LiDAR-based 3D street landscape indices for urban habitability: 3D green biomass, street enclosure, sunshine index, and landscape diversity index. Experiments performed in Jianye District of Nanjing (China) showed that these four street landscape indices accorded well with the actual situation and they reflected user perception of street space. Thus, the proposed indices could help us to assess urban landscape from a 3D perspective. To sum up, this study suggest a new type of data for landscape study, and provide an automatic information acquirement for urban habitability assessment. |
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