Revealing spatiotemporal matching patterns between traffic flux and road resources using big geodata - A case study of Beijing
文献类型：期刊论文
| 作者 | Yan, Xiaorui2,3; Song, Ci2,3; Pei, Tao1,2,3,4; Wang, Xi2,3; Wu, Mingbo2,3; Liu, Tianyu2,3 |
| 刊名 | CITIES
 |
| 出版日期 | 2022-08-01 |
| 卷号 | 127页码:12 |
| ISSN号 | 0264-2751 |
| 关键词 | Traffic flux Road resources Mobile phone data Spatiotemporal matching patterns |
| DOI | 10.1016/j.cities.2022.103754 |
| 通讯作者 | Pei, Tao(peit@lreis.ac.cn) |
| 英文摘要 | Mismatch between road system and spatiotemporal heterogeneity of traffic flow is a key reason for traffic congestion. Existing studies mainly focus on local regions or specific times (morning and evening peak), while the spatiotemporal heterogeneity of match and its causes, especially at larger scales, are still insufficiently studied. Herein, we proposed a framework for analyzing the match between traffic flux, i.e. the number of in-dividuals driving into or out of a region per unit time, and road resources, using mobile phone data covering approximately 17 million users over one week in Beijing. Matches were measured through comparisons between the share of traffic flux and that of road resources both globally and locally. First, a global analysis with Gini coefficient revealed the match in Beijing is at a long-lasting low level. Then, the spatiotemporal disparity of match was examined via our proposed regional match index. Specifically, overallocated areas (traffic flux ex-ceeds its corresponding shares of road resources) were mainly along arterial roads, while underallocated ones were in suburbs and gated residential communities. To explore the mechanism, four spatiotemporal matching modes were identified through a time series clustering method, and their distributions were explained by urban function based on 'point-of-interest' data. |
| WOS关键词 | CONGESTION ; CAPACITY ; PERFORMANCE ; ROBUSTNESS ; TRANSPORT ; NETWORKS ; MOBILITY ; STREETS ; CITIES ; GROWTH |
| 资助项目 | National Natural Science Foundation of China (NSFC)[42071436] ; National Natural Science Foundation of China (NSFC)[41525004] |
| WOS研究方向 | Urban Studies |
| 语种 | 英语 |
| 出版者 | ELSEVIER SCI LTD |
| WOS记录号 | WOS:000811977100001 |
| 资助机构 | National Natural Science Foundation of China (NSFC) |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/179714]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Pei, Tao |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, 11A Datun Rd, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 4.Jiangsu Ctr Collaborat Innovat Geog Informat Resou, Nanjing 210023, Peoples R China |
| 推荐引用方式 GB/T 7714 | Yan, Xiaorui,Song, Ci,Pei, Tao,et al. Revealing spatiotemporal matching patterns between traffic flux and road resources using big geodata - A case study of Beijing[J]. CITIES,2022,127:12. |
| APA | Yan, Xiaorui,Song, Ci,Pei, Tao,Wang, Xi,Wu, Mingbo,&Liu, Tianyu.(2022).Revealing spatiotemporal matching patterns between traffic flux and road resources using big geodata - A case study of Beijing.CITIES,127,12. |
| MLA | Yan, Xiaorui,et al."Revealing spatiotemporal matching patterns between traffic flux and road resources using big geodata - A case study of Beijing".CITIES 127(2022):12. |
入库方式： OAI收割
来源：地理科学与资源研究所
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