Influence of Relief Degree of Land Surface on Street Network Complexity in China
Bibliographic Data
| ID | 22032454 |
|---|---|
| Authors | Nai Yang (0000-0001-5306-1163, China University of Geosciences), Le Jiang (0000-0002-5934-0865, China University of Geosciences), Yi Chao (0000-0002-7286-5439, China University of Geosciences, corresponding author), Yang Li (0000-0002-2835-6661, China University of Geosciences), Pengcheng Liu (0000-0002-0874-1538, Central China Normal University) |
| Year | 2021 |
| Volume | 10 |
| Issue | 10 |
| Pages | 705 |
| Publication date | 2021-10-15 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | ISPRS International Journal of Geo-Information (JOURNAL) |
| Journal identifiers | ISSN: 2220-9964 • E-ISSN: 2220-9964 |
| Publisher | MDPI AG (PUBLISHER • IT) |
| DOI | 10.3390/ijgi10100705 |
| OpenAlex | W3207577952 |
| Language | EN |
| Citations received | 1 |
| References cited | 40 |
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
Archaeology · China · Complex network · Degree distribution · Economic geography · Geography · Physics · Regional science · Social connectedness · Street network · Transport engineering · World Wide Web · Computer Science · Engineering · Land Use and Ecosystem Services · Urban Design and Spatial Analysis · Urban Green Space and Health
OSMnx
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Alterations in scale
Urban spatial order
| Unique citing works | 1 |
|---|---|
| Citations per year | 0.25 |
| Citation span | 2022 - 2022 (1) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 1 |