基于Infomap算法的城市骑行社区结构及活力影响因素分析--以深圳市为例  

Analysis of Urban Cycling Community Structure and Influencing Factors of Cycling Vitality Based on Infomap Algorithm:a Case Study of Shenzhen City

作　　者：辜智慧[1] 叶凡 崔志祥 张艳[1] GU Zhihui;YE Fan;CUI Zhixiang;ZHANG Yan

机构地区：[1]深圳大学建筑与城市规划学院 [2]深圳大学建筑与城市规划学院城市规划系

出　　处：《住区》2022年第1期43-50,共8页Design Community

基　　金：国家自然科学基金面上资助项目“基于复杂自适应系统理论的城市职住空间与公共交通体系耦合机制研究”(编号:51778366)。

摘　　要：以骑行社区为单位的慢行系统建设有助于减缓城市的交通拥堵促进城市的低碳和可持续发展。基于共享单车轨迹大数据构建复杂网络,采用社区发现算法Infomap划分城市骑行社区空间结构,并探寻其边界及内部骑行活力的影响因素。以深圳市为例,研究发现:骑行社区主要由城市大型交通设施及自然地块阻隔而成;社区内部骑行活力受居住建筑容积率、同社区职住人口密度等因素影响。研究认为,城市慢行系统的规划与建设应以居民实际出行特征为基础划分相应的骑行社区,通过促进骑行社区内部的职住平衡,改善社区内部骑行环境,提高居民骑行出行吸引力,引导市民形成全新的出行观念。The construction of the slow traffic system based on cycling community helps to alleviate the traffic conges-tion in the city and promote the low-carbon and sustain-able development of the city.This paper built a complex network based on big data of shared bicycle trajectories,used the community discovery algorithm Infomap to divide the spatial structure of the urban cycling community,and explored the influence factors of its boundary and internal cycling vitality.Taking Shenzhen as an example,the study found that the boundaries of cycling communities are main-ly formed by large-scale urban transportation facilities and natural plots;Cycling vitality within the cycling community is affected by factors such as the residential building floor area ratio and the density of population working and living in the same community.The study shows that the planning and construction of urban slow traffic systems should be based on the actual travel characteristics of residents to di-vide the corresponding cycling communities,by promoting the balance of working-living space in the cycling commu-nity and improving the cycling environment,to promote the residents to choose slow traffic,guide the citizens to form a new travel concept.

关 键 词：社区发现 Infomap 共享单车 骑行社区 骑行活力 职住空间 

分 类 号：TU984.2[建筑科学—城市规划与设计]