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Incorporation of intra-city human mobility into urban growth simulation: A case study in Beijing
WANG Siying, FEI Teng, LI Weifeng, ZHANG Anqi, GUO Huagui, DU Yunyan
地理学报(英文版), 2022, 32(
5
): 892-912. DOI:
10.1007/s11442-022-1977-6
Figure 2
Illustration of the stay point detection process
本文的其它图/表
Figure 1
The framework of the ANN-CA model in the integration of human mobility factors
Figure 3
An example of a directed graph formed by human trajectories
Figure 4
The architecture of the ANN-CA model
Figure 5
Administration divisions of Beijing
Table 1
Model inputs and their data source
Figure 6
The spatial variables in Beijing (a) slope, (b) DEM, (c) distance to urban area, (d) distance to the main road, (e) distance to the secondary road, and (f) distance to water area
Figure 7
The flow map of trajectory data in Beijing
Figure 8
The inflow magnitude distribution (a) and the outflow magnitude distribution (b) of Beijing
Figure 9
The observed urban growth from 2013 to 2016 in Beijing (a) and the simulated pattern in 2016 based on the four proposed models: (b) ANN-CA
withflow
, (c) ANN-CA
withoutflow
, (d) Logistic-CA
withflow
, and (e) Logistic-CA
withoutflow
Table 2
Assessment of the simulation results
Figure 10
Resultant improvements of Kappa coefficients and FoM values of the simulation results for districts of Beijing based on ANN-CA
withflow
model
Figure 11
The plots of training accuracy and loss
Figure 12
Flow map and an enlarged view of Beijing
Table 3
A comparison of the elevation of the four selected districts of Beijing