Commuter Greenway Route Selection Study Based on Multi-source Data Research
Commuter greenways play a very important role in encouraging residents to travel in a healthy and low-carbon way and alleviating urban traffic congestion.With the development of the Internet and the disclosure of data,it has become possible to obtain people's daily commuting data and optimize urban commuting greenways.In this regard,this paper takes the core area of Hangzhou Future Science and Technology City as an example to explore the greenway routing method based on the big data of residents'commuting behavior,firstly,to determine the key connection points of the greenway through the analysis of people's travel behavior,secondly,to establish a comprehensive resistance model through the analysis of the construction suitability,to conduct routing simulation by using Linkage Mapper tool,and finally,to optimize the results of the routing simulation to determine the final route selection.According to the road type of the road on which the commuter greenway is based,the commuter greenway is categorized into three levels,forming a greenway commuter network of"eight main,seven secondary and twelve branches".This provides a new way of thinking for the future planning of urban commuter greenways,which will be conducive to the realization of green and healthy commuting for residents and the improvement of the urban greenway network system.
landscape architecturecommuter greenwaycommuter behaviorroute selectionmulti-source data