Lei Dong, Zhou Huang, Jiang Zhang, and Yu Liu
Understanding quantitative relationships between urban elements is crucial for a wide range of applications. The observation at the macroscopic level demonstrates that the aggregated urban quantities (e.g., gross domestic product) scale systematically with population size across cities, also known as urban scaling laws. However, at the mesoscopic level, we lack an understanding of whether the simple scaling relationship holds within cities, which is a fundamental question regarding the spatial origin of scaling in cities. Here, by analyzing four large-scale datasets covering millions of mobile phone users and urban facilities, we investigate the scaling phenomena within cities. We find that the mesoscopic infrastructure volume and socioeconomic activity scale sub- and super-linearly with the active population, respectively; however, for a same scaling phenomenon, the power-law exponents vary in cities of similar population sizes. To explain these empirical observations, we propose a conceptual framework by considering the heterogeneous distributions of population and facilities, and the spatial interactions between them. Analytical and numerical results suggest that, despite the large number of complexities that influence urban activities, the simple interaction rules can effectively explain the observed regularity and heterogeneity in scaling behaviors within cities.
- data.zip
- 2km grid cell level data for ten cities
- scaling_replication.R
- R code for all results presented in the paper
Dong, L., Huang, Z., Zhang, J. & Liu, Y. Understanding the mesoscopic scaling patterns within cities. Sci Rep 10, 21201 (2020). https://doi.org/10.1038/s41598-020-78135-2
Contact: arch.dongl@gmail.com