摘要
城市节律可为观察和理解城市提供一种新的模式,为当代城市问题提供新的研究视角。城市居民出行时空行为呈现明显的节律特征,其一定程度反映出城市运行的复杂性,是城市地理和行为地理研究的重要问题之一。本研究引入城市节律这一概念,关注居民非通勤出行时空行为,以交通小区为空间单元,利用手机信令数据和POI(Point of interest)数据,基于模糊C均值(Fuzzy C-Means Clustering,FCM)的时间序列软聚类方法和空间分析有机结合,探索居民非通勤出行活动节律模式;同时利用空间滞后模型揭示了出行节律模式隶属度的影响因素。结果表明:北京居民非通勤出行节律存在7种模式,根据不同模式区域的POI的频数密度和富集指数差异,可以将7种模式描述为:“居住导向型”“商业活动型”“商务导向型”“混合偏居住型”“混合偏商务型”“科教文化型”和“休闲娱乐型”。研究发现,不同模式的平均隶属度差异较大,影响因子也存在较大差异。在北京六环内非通勤出行节律模式混合度高,且不同模式的出行节律周期、功能特征和空间分布存在较大差异。此外,出行节律存在显著的空间依赖,并与城市商业、就业、居住等城市功能结构具有较强的相关性。本研究从时空融合视角对北京居民非通勤出行节律模式进行了深入探索,研究结果有助于进一步提高人群出行节律与城市功能结构关系的科学理解,从而能够为城市规划与建设提供重要的决策支撑。
Urban rhythm theory emphasizes the intertwined relationship between time and space in cities,as well as the resultant repetitiveness and differentiation.This theoretical framework provides a new perspective for observing and understanding cities,which is an innovative research angle for addressing contemporary urban challenges.The spatiotemporal travel behavior of urban residents exhibits distinct rhythmic characteristics,which not only reflect individual lifestyle patterns but also,to a certain extent,and mirror the complexity of urban operations.It has long been one of the critical issues in urban geography and behavioral geography research.This study introduces the concept of urban rhythm and focuses on the spatiotemporal behavior of residents'non-commuting travel.Utilizing traffic analysis zones as spatial units,and mobile phone signaling data and POI(Point of interest)data,the study explores the rhythmic patterns of residents'non-commuting travel activities by integrating time series soft clustering methods based on Fuzzy C-Means Clustering(FCM)with spatial analysis.Simultaneously,it employs a spatial lag model to reveal the influencing factors of the degree of membership in travel rhythm patterns.The results demonstrate that there are seven patterns of non-commuting travel rhythms for Beijing residents.Based on the differences in the frequency density and enrichment index of POIs across regions of various patterns,these seven patterns can be described as"residential-oriented","commercial activity-oriented","business-oriented","mixed residential-biased","mixed business-biased","science,education,and culture"and"leisure and entertainment".The study finds significant differences in the average degree of membership and influencing factors among different patterns.Within the 6th Ring Road of Beijing,the non-commuting travel rhythm patterns exhibit a high degree of mixing,with significant differences in the travel rhythm period,functional features,and spatial distribution across different patterns.Moreover,these
作者
杨佟
李晓航
孟斌
时昌盛
吴火琪
YANG Tong;LI Xiaohang;MENG Bin;SHI Changsheng;WU Huoqi(College of Applied Arts and Science,Beijing Union University,Beijing 100191,China;Chongqing Sunway Information Technology Co.,Ltd,Chongqing 401121,China)
出处
《地理研究》
CSSCI
CSCD
北大核心
2024年第9期2425-2439,共15页
Geographical Research
基金
国家自然科学基金项目(42471272、51878052)
北京联合大学科研基金(No.ZKZD202305)。
