Torque work of origin-destination flows: Quantifying urban place centrality from a physical perspective

IF 7.1 1区 地球科学 Q1 ENVIRONMENTAL STUDIES
Xiaorui Yan , Tao Pei , Ci Song , Zidong Fang , Xiaohan Liu , Tianyu Liu , Linfeng Jiang , Ying Gao , Guangdong Li , Jie Huang , Yaqin Sun
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引用次数: 0

Abstract

Quantifying urban place centrality, defined as its relative importance in serving its peripheral areas, provides insights into urban structures, optimizes resource allocation, and supports strategic urban planning. Centrality is shaped by three aspects: service volume, spatial reach, and directional diversity. However, existing measures often assess these factors separately and few integrate them simultaneously. Additionally, centrality analyses often overlook local perspectives and intra-day dynamics. To this end, we propose a novel origin-destination flow-based centrality measure, namely Total Torque Work (TTW), that integrates these three aspects into a single value, conceptualized as “Torque work of flow”, where flow volume, length, and direction correspond to the force magnitude, lever arm, and angular displacement. The effectiveness of the TTW is validated by simulation experiments. We apply this measure to analyze macro- and micro-centralities in Beijing, using taxi and shared bike flow data. Macro-centrality shows a monocentric structure, with higher values near railway stations, airports, and business and commercial centers. Micro-centrality is more polycentric, with subway stations exhibiting higher centrality. Time series clustering identifies three temporal patterns in both macro- and micro-centralities: two “daytime-dominant” patterns linked to multifunctional activities and commuting, and a “nighttime-dominant” pattern in residential areas. The study concludes with several implications for urban planning, emphasizing the importance of incorporating multi-spatiotemporal scales.
起点-终点流的扭矩功:从物理角度量化城市场所中心性
量化城市中心性,定义为其在服务周边地区方面的相对重要性,提供了对城市结构的见解,优化了资源配置,并支持了战略性城市规划。中心性的形成有三个方面:服务量、空间范围和方向多样性。然而,现有的措施往往单独评估这些因素,很少将它们同时结合起来。此外,中心性分析通常会忽略局部视角和内部动态。为此,我们提出了一种新颖的基于起点-终点流量的中心性度量,即总扭矩功(TTW),它将这三个方面整合为一个值,概念为“流量的扭矩功”,其中流量、长度和方向对应于力的大小、杠杆臂和角位移。仿真实验验证了该方法的有效性。我们使用出租车和共享单车流量数据,将这一方法应用于分析北京的宏观和微观中心性。宏观中心性表现为单中心结构,在火车站、机场和商业中心附近值较高。微中心性表现为多中心性,其中地铁站的中心性更高。时间序列聚类确定了宏观和微观中心的三种时间模式:两种与多功能活动和通勤相关的“白天主导”模式,以及居住区的“夜间主导”模式。该研究总结了对城市规划的几点启示,强调了结合多时空尺度的重要性。
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来源期刊
CiteScore
13.30
自引率
7.40%
发文量
111
审稿时长
32 days
期刊介绍: Computers, Environment and Urban Systemsis an interdisciplinary journal publishing cutting-edge and innovative computer-based research on environmental and urban systems, that privileges the geospatial perspective. The journal welcomes original high quality scholarship of a theoretical, applied or technological nature, and provides a stimulating presentation of perspectives, research developments, overviews of important new technologies and uses of major computational, information-based, and visualization innovations. Applied and theoretical contributions demonstrate the scope of computer-based analysis fostering a better understanding of environmental and urban systems, their spatial scope and their dynamics.
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