| Title | Evaluation of Urban Vibrancy and Its Relationship with the Economic Landscape: A Case Study of Beijing |
| Authors | Jia, Chen Liu, Yuefeng Du, Yunyan Huang, Jianfeng Fei, Teng |
| Affiliation | Peking Univ, Inst Remote Sensing & Geog Informat Syst, Beijing Key Lab Spatial Informat Integrat & Its A, Beijing 100871, Peoples R China Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100864, Peoples R China Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430072, Peoples R China |
| Issue Date | Feb-2021 |
| Publisher | ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION |
| Abstract | As one of the essential indicators for the development of a city, urban vibrancy plays an important role in evaluating the quality of urban areas and guiding urban construction. The development of spatial big data makes it possible to obtain information on user trajectories and the built environment, providing support for the evaluation of urban vibrancy. However, previous studies focused on the number of regional activities when evaluating urban vibrancy and ignored diversity, which was produced by diverse economic landscapes. In this paper, using mobile phone trajectory data, we propose a method for evaluating urban vibrancy from two dimensions: busyness and diversity, based on the improved PageRank algorithm and an index of entropy. Furthermore, in order to explore the relationship between urban vibrancy and the economic landscape, we construct an economic landscape index system based on multi-source data, including points of interest (POIs), roads, building footprints, house prices, the gross domestic product (GDP), and population data. Then, multiple linear regression is utilized to model the relationship between urban vibrancy and the urban economic landscape. The results show that combining busyness and diversity can better characterize urban vibrancy than any single indicator, and the adjusted R-squared (R-2) of the regression with economic landscape reaches 0.59. |
| URI | http://hdl.handle.net/20.500.11897/605209 |
| DOI | 10.3390/ijgi10020072 |
| Indexed | SCI(E) SSCI |
| Appears in Collections: | 地球与空间科学学院 空间信息集成与3S工程应用北京市重点实验室 |
