基于多源数据的通勤绿道选线研究

Commuter Greenway Route Selection Study Based on Multi-source Data Research

通勤绿道对于鼓励居民健康低碳出行、缓解城市交通拥堵具有非常重要的作用。随着互联网的发展和数据的公开,获取人们日常通勤数据,优化城市通勤绿道成为可能。对此,以杭州市未来科技城核心片区为例,探讨基于居民通勤行为大数据的绿道选线方法,首先通过人们的出行行为分析确定绿道关键接驳点,其次通过建设适宜性分析建立综合阻力模型,运用Linkage Mapper工具进行选线模拟,最后对选线模拟结果优化确定最终选线。根据通勤绿道所依托道路的道路类型,将通勤绿道分为三级,形成了“八主七次十二支”的绿道通勤网络。这为未来城市通勤绿道的规划提供了一种新的思路,将有利于实现居民绿色健康通勤,完善城市绿道网络体系。

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.