Paper

Research on the influence mechanism and optimisation of urban greenway network use pattern based on multi-source data - a case study of Guangzhou, China

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Abstract

Urban greenways have become the major venue for inhabitants to relax and exercise in recent years. The impact of non-motorised travel and urban recreation on greenways grows. So the primary purpose of improving and enhancing greenway design is to meet users' recreational and leisure demands. However, general greenway planning usually contrasts with actual resident use. More study is necessary to assess whether the efficiency of urban greenway use is compatible with planning goals. Using multiple source data to analyse urban dwellers' use patterns and the factors that impact them might provide a new perspective on designing and optimising greenways.

Using Guangzhou as an example, this paper investigates the use pattern of greenways and their spatial and temporal distribution characteristics based on the user movement trajectory data/ distribution map, identifies potential high-use sections of greenways, and then selects the factors affecting the use intensity of greenways, and performs spatial correlation analysis using the geographical detector. Finally, the weighting of different influencing factors provides a reasonable basis for the optimal construction and improvement of urban greenways.

Keywords: urban greenway, multi-source data, use intensity, geographical detector

How to Cite:

Wu, J., Qian, M. & Cao, Y., (2022) “Research on the influence mechanism and optimisation of urban greenway network use pattern based on multi-source data - a case study of Guangzhou, China”, Fábos Conference on Landscape and Greenway Planning 7(1). doi: https://doi.org/10.7275/gsr0-1e29