基于多元数据分析的寒地夜市空间优化策略研究——以哈尔滨地区为例

Optimization Strategy of Night Market Space in Cold Region Based on Multivariate Data Analysis:The Case of Harbin

夜市作为一种非正式的商业空间,其分布除受社会、经济等因素影响外,更与城市结构及人们的行为规律息息相关。以哈尔滨地区为例,应用空间句法中的线段分析对夜市空间展开研究,收集整合度、选择度、步数深度及节点数目等句法数据,通过与交通流量的相关性分析,量化夜市空间的分布规律。基于哈尔滨地区30个典型夜市空间实地调研,应用多元回归的方法,进一步展开关于夜市规模、空间、业态、摊位等影响因子的论述。结合定量研究与定性分析,总结出适用于寒地夜市空间的优化策略与创作方法,为未来夜市空间设计与优化提供参考。

Night market,as an informal commercial space,often influened by social and economic factors in the city.Morever,it is closely related to urban structure and people’s behavior.In this article,we take Harbin as an example.Firstly,we use segment map analysis to collect syntactic data such as the degree of integration choice,the node count and the total depth.Then,we complete the correlation analysis between syntactic data and traffic flow to quantify the spatial distribution of the night market.Next,we conducted field investigations on 30 typical night markets in Harbin,using multiple regression analysis to study the impact factors such as the size,the space and the format of the night market.Finally,through quantitative research and qualitative analysis,we form the optimization strategies for night markets in cold regions.We hope this article will provide reference for night market design and optimization in future.