论文标题

在城市道路网络和混合功能之间提取空间互动模式

Extracting Spatial Interaction Patterns between Urban Road Networks and Mixed Functions

论文作者

Xiao, Huidan, Yang, Tao

论文摘要

在城市规划领域,道路网络系统规划通常是第一步,城市规划的主要目的是创建不同功能(例如居住,教育,商业等)的空间配置。一般而言,一个地区的功能越多,其活力可能就越可能。因此,在本文中,我们提出了一个新的框架,以研究整体结构的特定空间影响模式以及道路网络对混合功能的不同子结构。以路段为基本单元,我们表征了道路网络的混合功能聚合,其pois类别数量在每个路段周围100米以内。同时,根据图理论中的集中度测量,我们使用4个索引来反映城市道路网络结构的特征,包括程度,亲密性,中间和长度。我们使用北京第五环路内的道路网络和POI数据进行方法和实验。结果表明,城市道路网络固有地影响了各种模式的城市混合功能的聚集,道路网络子结构的模式也大不相同。我们的研究表明,道路网络结构的程度越高,吸引功能的聚合的可能性就越大。它还揭示了多元化的地方学位将有助于收集城市功能。除此之外,该分析还验证了城市道路网络的小​​网格类型和与城市中心的亲密关系的重要性。

In the field of urban planning, road network system planning is often the first step and the main purpose of urban planning is to create a spatial configuration of different functions such as residence, education, business, etc. Generally speaking, the more mixed the functions of an area has, the more possible its vitality may be. Therefore, in this article, we propose a new framework to study the specific spatial influence patterns of the overall structure and different sub-structures of road networks on the mixed functions. Taking road segment as the basic unit, we characterize mixed functions aggregation of road networks with the number of POIs categories within 100 meters around every road segment. At the same time, on the basis of centrality measurement in graph theory, we use 4 indexes to reflect the characteristics of the urban road network structure, including degree, closeness, betweenness, and length. We conduct our methods and experiments using the road networks and POI data within the 5th ring road of Beijing. The results demonstrate that urban road networks inherently influence the aggregation of urban mixed functions in various patterns and the patterns of road network sub-structures is also quite different. Our study shows that the higher the degree of the road network structure has, the more likely it will attract functions' aggregation. It also reveals that diversified local degree will help gather urban functions. In addition to those, the analysis as well validates the importance of small-grids typology of urban road networks and the closeness to the center of cities.

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