Spatial Distribution Simulation of Urban Population and Employment Driven by Workflow
The spatial coupling and interactive mechanisms between urban population and employment distribution have al-ways been a hot topic of interdisciplinary research.One of the bottleneck problems is the multi-scenario simulation of urban space.Workflow has the ability to handle complex transactions in heterogeneous environments,and has features such as easy sharing,executable,tasks automation,etc.It is an effective way to achieve repeatable and scalable execution of geographical analysis functions.This paper introduces workflow technology into the multi-scenario simulation of urban population and employment distribution,and based on the KNIME platform,develops a workflow system corresponding to the Garin-Low-ry model.The workflow system includes three modules:data querying and input/output,model calculation,and result analy-sis.According to the core variables of the Garin-Lowry model,this paper sets up a variety of basic employment and traffic network scenarios,compares the spatial structure characteristics of urban population and employment with different employ-ment center patterns under the three ideal urban forms of concentric circles,grid and honeycomb,and simulates the changes of urban population and employment distribution under the local and overall acceleration of road network.The simulation re-sults show that urban form has a weak impact on urban work-residence patterns,but the employment center pattern and road network conditions have a significant impact on the spatial distribution of urban population and employment.The more dispersed the employment centers and the lower the friction coefficient,the more significant the spatial diffusion effect of population.It further confirms the"doughnut effect"and"ribbon hypothesis"proposed in urban science,and also provides a policy simulation tool for urban planning.
KNIMEworkflowmulti-scenario simulationurban spatial structureGarin-Lowry model
万方数据
维普
