I-index for quantifying an urban location's irreplaceability | |
Wang, Xi1,2; Chen, Jie1; Pei, Tao1,2,3; Song, Ci1,2; Liu, Yaxi1,2; Shu, Hua1,2; Guo, Sihui1,2; Chen, Xiao1,2 | |
刊名 | COMPUTERS ENVIRONMENT AND URBAN SYSTEMS |
2021-11-01 | |
卷号 | 90页码:13 |
关键词 | Locational measure Irreplaceability Origin-destination flow Flow mapping H-index |
ISSN号 | 0198-9715 |
DOI | 10.1016/j.compenvurbsys.2021.101711 |
通讯作者 | Pei, Tao(peit@lreis.ac.cn) |
英文摘要 | A location's irreplaceability refers to the degree of difficulty with which it can be replaced by other locations. For example, the irreplaceability of airports, hospitals, and ATMs varies, and that between hospitals is also different. They differ in both the number of users and the extent of service area. Quantifying the location's irreplaceability provides guidance for urban planning, such as siting of public resources. Existing methods for quantifying an urban location's irreplaceability do not consider human activity at the location, therefore the revealed irreplaceability may deviate from the resident's perceptions. To address this issue, we use origin-destination flows to reflect human activity. We propose a flow-based locational measure, I-index, to quantify the location's irreplaceability. It can be viewed as 'H-index of flow' where we regard locations as scientists, flows as papers. I-index of a location is the maximum value of i such that at least i flows with a length of at least alpha* i meters have reached this location, where a is the conversion factor that can be determined adaptively from the flow dataset. I-index elegantly combines the flow volume and length into a single value. The effectiveness of the I-index is validated by simulation experiments. Two case studies show that the hospital's irreplaceability strongly correlates with the hospital bypass behavior and locations with strongly mixed urban functions are more irreplaceable. The implications for urban planning are further discussed. |
资助项目 | National Natural Science Foundation of China[41525004] ; National Natural Science Foundation of China[42071436] ; National Key Research and Development Program of China[2017YFB0503604] |
WOS关键词 | LAND-USE ; FLOWS ; TRANSPORT ; PATTERNS ; ACCESSIBILITY ; DYNAMICS ; MOBILITY ; DISTANCE ; CHOICE |
WOS研究方向 | Computer Science ; Engineering ; Environmental Sciences & Ecology ; Geography ; Operations Research & Management Science ; Public Administration |
语种 | 英语 |
出版者 | ELSEVIER SCI LTD |
WOS记录号 | WOS:000702393800015 |
资助机构 | National Natural Science Foundation of China ; National Key Research and Development Program of China |
内容类型 | 期刊论文 |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/166003] |
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, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Peoples R China |
推荐引用方式 GB/T 7714 | Wang, Xi,Chen, Jie,Pei, Tao,et al. I-index for quantifying an urban location's irreplaceability[J]. COMPUTERS ENVIRONMENT AND URBAN SYSTEMS,2021,90:13. |
APA | Wang, Xi.,Chen, Jie.,Pei, Tao.,Song, Ci.,Liu, Yaxi.,...&Chen, Xiao.(2021).I-index for quantifying an urban location's irreplaceability.COMPUTERS ENVIRONMENT AND URBAN SYSTEMS,90,13. |
MLA | Wang, Xi,et al."I-index for quantifying an urban location's irreplaceability".COMPUTERS ENVIRONMENT AND URBAN SYSTEMS 90(2021):13. |
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