CAJ | 학술논문

有关城市交通状态空间特征的研究相对匮乏。从空间角度分析城市宏观交通特征，首先，针对城市路网几何形态和交通数据的关系提出适合于城市交通数据分析的空间模型。然后，以从长期的浮动车数据中提取的路段行程速度作为描述交通状态的实验数据，分别采用空间自相关和核密度估计法定量分析路网行程速度的空间依赖性和空间异质性，并分析其在典型时段的空间分布特征。结果显示：城市交通状态的关联性在空间上随着路段间距的增长而衰减；城市交通状态的空间分布特征随时间变化，受路网结构和区域功能的影响在空间中呈现集聚特征。
유관성시교통상태공간특정적연구상대궤핍。종공간각도분석성시굉관교통특정，수선，침대성시로망궤하형태화교통수거적관계제출괄합우성시교통수거분석적공간모형。연후，이종장기적부동차수거중제취적로단행정속도작위묘술교통상태적실험수거，분별채용공간자상관화핵밀도고계법정량분석로망행정속도적공간의뢰성화공간이질성，병분석기재전형시단적공간분포특정。결과현시：성시교통상태적관련성재공간상수착로단간거적증장이쇠감；성시교통상태적공간분포특정수시간변화，수로망결구화구역공능적영향재공간중정현집취특정。
Insufficient studies have been done on spatial characteristics of urban traffic state in China. To analyze macro characteristics of urban transportation from the spatial perspective, this paper first proposes a spatial model that tailors to urban transportation data analysis based on the relationship between the lay-out of urban roadway network and transportation data. Using travel speeds on roadway segments extracted from long-term floating car data to describe traffic state, the paper investigates the spatial dependence and heterogeneity of travel speeds on roadway networks based on the spatial self-correlation and kernel density estimation method, along with the spatial distribution during typical time intervals. Results show that the relevance of urban traffic state decreases as the spacing of roadway segments increases;spatial distribution of urban traffic state changes with time, showing an aggregated characteristics in space due to the impact of structure and functionality of roadway networks.