Flow-based fractal dimensions of urban road networks: Insights from 135 global cities
文献类型：期刊论文
| 作者 | Gao, Ying1,3; Pei, Tao1,2,3; Guo, Sihui4,5; Wang, Xi1; Wu, Mingbo1; Yan, Xiaorui1,3; Chen, Xiao1,3; Liu, Xiaohan1,3; Fang, Zidong1,3; Song, Ci1,3 |
| 刊名 | CITIES
 |
| 出版日期 | 2026-05-01 |
| 卷号 | 172页码:106820 |
| 关键词 | Road network Road network flow space Fractal dimension Space-filling Traffic congestion |
| ISSN号 | 0264-2751 |
| DOI | 10.1016/j.cities.2026.106820 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | The efficiency of urban road networks is a critical determinant of traffic congestion levels. This efficiency depends not only on high road density but also on strong connectivity between regions. Conventional approaches to measuring this efficiency often adopt a density-based perspective, typically using planar fractal dimension to assess the extent to which a road network covers urban space-a metric referred to as the space-filling degree. Nevertheless, such methods tend to overlook connectivity, which may lead to an overestimation of space-filling degree in networks with high detour ratios or limited accessibility, thereby failing to reflect actual efficiency of road system. To address this limitation, we propose a flow-based box-counting fractal dimension from an origindestination (OD) perspective, which evaluates how well a road network spatially supports real travel flows between OD pairs. We apply this method to assess the space-filling degree of major road networks in 135 cities worldwide and use multiple linear regression models to compare the explanatory power of the proposed flowbased fractal dimension against traditional planar fractal dimensions in relation to urban traffic congestion. The results demonstrate that our approach can capture the spatial structure of urban road networks. Moreover, the flow-based fractal dimension outperforms traditional metrics in explaining traffic congestion, showing a stronger negative correlation with congestion levels and greater model explanatory power than both planar fractal dimension and road density. |
| URL标识 | 查看原文 |
| WOS关键词 | TRAFFIC CONGESTION ; STREET NETWORKS ; CHINESE CITIES ; LANDSCAPE ; IMPACTS ; DENSITY ; GROWTH ; FORM |
| WOS研究方向 | Urban Studies |
| 语种 | 英语 |
| WOS记录号 | WOS:001691370600001 |
| 出版者 | ELSEVIER SCI LTD |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/220986]  |
| 专题 | 资源与环境信息系统国家重点实验室_外文论文 |
| 通讯作者 | Pei, Tao |
| 作者单位 | 1.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China; 2.Jiangsu Ctr Collaborat Innovat Geog Informat Resou, Nanjing 210023, Peoples R China; 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China; 4.Beijing Inst Surveying & Mapping, Beijing 100045, Peoples R China; 5.Beijing Key Lab Urban Spatial Informat Engn, Beijing 100045, Peoples R China |
| 推荐引用方式 GB/T 7714 | Gao, Ying,Pei, Tao,Guo, Sihui,et al. Flow-based fractal dimensions of urban road networks: Insights from 135 global cities[J]. CITIES,2026,172:106820. |
| APA | Gao, Ying.,Pei, Tao.,Guo, Sihui.,Wang, Xi.,Wu, Mingbo.,...&Chen, Jie.(2026).Flow-based fractal dimensions of urban road networks: Insights from 135 global cities.CITIES,172,106820. |
| MLA | Gao, Ying,et al."Flow-based fractal dimensions of urban road networks: Insights from 135 global cities".CITIES 172(2026):106820. |
入库方式： OAI收割
来源：地理科学与资源研究所
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