TY - JOUR
T1 - Multiscale identification of urban functional polycentricity for planning implications
T2 - An integrated approach using geo-big transport data and complex network modeling
AU - Wei, Lai
AU - Luo, Yun
AU - Wang, Miao
AU - Cai, Yuyang
AU - Su, Shiliang
AU - Li, Bozhao
AU - Ji, Hangyu
PY - 2020
Y1 - 2020
N2 - Polycentrism has gradually become a newly emergent dimension of global urbanization. Many countries worldwide have tailored plans suited to functional polycentricity, in light of the prevalent “ghost cities” or “empty towns” as lessons from the morphologically polycentric development practices. However, the subject of defining and measuring functional polycentricity is still in an initial development phase, both in theory and in methodology. This paper first establishes a general theoretical framework for understanding functional polycentricity from the lens of interactive human mobility among spatial units. Then, a new approach is proposed to identify and measure urban functional polycentricity from a multiscale perspective and further applied to the case of Shanghai, China. More specifically, the pick-up and drop-off points from taxi GPS data are used to examine the linkages among different urban units across various scales (e.g., census tract, 3000-m grid, 5000-m grid, and community). Complex network modeling, together with the sensitivity analysis, is further employed to identify the centers according to the spatial importance of each unit. The results show that (1) the approach proposed can effectively identify functional centers within urban setting; (2) an obvious polycentric structure exists in Shanghai and is sensitive to scale effects; (3) the estimates are more accurate and precise with the shrink of analysis unit size from community level to census tract level; and (4) under the same spatial scale, the grid-based analysis produces a more elaborated polycentric pattern compared with the traditional administration-based analysis. Finally, scale-dependent differences between morphological and functional polycentricity are distinguished for providing implications for urban planning. Our study is believed to renew the knowledge of polycentricity conceptualization.
AB - Polycentrism has gradually become a newly emergent dimension of global urbanization. Many countries worldwide have tailored plans suited to functional polycentricity, in light of the prevalent “ghost cities” or “empty towns” as lessons from the morphologically polycentric development practices. However, the subject of defining and measuring functional polycentricity is still in an initial development phase, both in theory and in methodology. This paper first establishes a general theoretical framework for understanding functional polycentricity from the lens of interactive human mobility among spatial units. Then, a new approach is proposed to identify and measure urban functional polycentricity from a multiscale perspective and further applied to the case of Shanghai, China. More specifically, the pick-up and drop-off points from taxi GPS data are used to examine the linkages among different urban units across various scales (e.g., census tract, 3000-m grid, 5000-m grid, and community). Complex network modeling, together with the sensitivity analysis, is further employed to identify the centers according to the spatial importance of each unit. The results show that (1) the approach proposed can effectively identify functional centers within urban setting; (2) an obvious polycentric structure exists in Shanghai and is sensitive to scale effects; (3) the estimates are more accurate and precise with the shrink of analysis unit size from community level to census tract level; and (4) under the same spatial scale, the grid-based analysis produces a more elaborated polycentric pattern compared with the traditional administration-based analysis. Finally, scale-dependent differences between morphological and functional polycentricity are distinguished for providing implications for urban planning. Our study is believed to renew the knowledge of polycentricity conceptualization.
KW - Big data
KW - Polycentricity
KW - Scale effect
KW - Space-time activities
KW - Taxi ridership
KW - Urban spatial structure
U2 - 10.1016/j.habitatint.2020.102134
DO - 10.1016/j.habitatint.2020.102134
M3 - Article
AN - SCOPUS:85079777095
SN - 0197-3975
VL - 97
JO - Habitat International
JF - Habitat International
M1 - 102134
ER -