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Influence of Relief Degree of Land Surface on Street Network Complexity in China
| Content Provider | MDPI |
|---|---|
| Author | Yang, Nai Jiang, Le Chao, Yi Li, Yang Liu, Pengcheng |
| Copyright Year | 2021 |
| Description | The relief degree of land surface (RDLS) was often calculated to describe the topographic features of a region. It is a significant factor in designing urban street networks. However, existing studies do not clarify how RDLS affects the distribution of urban street networks. We used a Python package named OSMnx to extract the street networks of different cities in China. The street complexity metrics information (i.e., street grain, connectedness, circuity, and street network orientation entropy) were obtained and analyzed statistically. The results indicate that street network exhibits more complexity in regions with high RDLS. Further analysis of the correlation between RDLS and street network complexity metrics indicates that RDLS presents the highest correlation with street network circuity; that is, when RDLS is higher, the routes of an urban street network is more tortuous, and the additional travel costs for urban residents is higher. This study enriches and expands research on street networks in China, providing a reference value for urban street network planning. |
| Starting Page | 705 |
| e-ISSN | 22209964 |
| DOI | 10.3390/ijgi10100705 |
| Journal | ISPRS International Journal of Geo-Information |
| Issue Number | 10 |
| Volume Number | 10 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2021-10-15 |
| Access Restriction | Open |
| Subject Keyword | ISPRS International Journal of Geo-Information Isprs International Journal of Geo-information Street Network Complexity Osmnx Street Orientations China's Topography |
| Content Type | Text |
| Resource Type | Article |
