摘要
为研究京津冀城市群城际出行的时空分布特征,利用手机信令数据提取用户城际出行OD数据,首先分析京津冀城际出行时间特征,其次研究出行高峰时段的空间分布,最后以区县为单位研究城市间交通联系特征.研究结果表明:京津冀城际出行有着明显的周变化规律,周一至周四城际出行量较少,周五至周日出行量显著增加,非工作日的早高峰时间比工作日延迟了1 h.城际出行联系强度显示北京市与廊坊市之间形成了2条明显的交通走廊,城际出行呈现出以省会城市和经济发达城市为区域中心、其他城市为外围的出行结构.本文研究结果有助于进一步衡量区域一体化发展水平,为城市群交通系统规划以及建设提供指导.
To study the spatiotemporal distribution characteristics of intercity travel within the Beijing-Tianjin-Hebei urban agglomeration,mobile phone signaling data are used to extract user Origin-Destination(OD)data for intercity travel.Firstly,the temporal characteristics of intercity travel within Beijing-Tianjin-Hebei region are analyzed.Secondly,the spatial distribution of travel peak hours is ex-plored.Lastly,the transportation connectivity characteristics between cities are examined,taking dis-tricts and counties as units of analysis.The results show that intercity travel within Beijing-Tianjin-Hebei region exhibits a distinct weekly pattern.Intercity travel volumes are lower from Monday to Thursday,but witness a pronounced upswing from Friday to Sunday.Furthermore,on non-working days,the morning rush hour is delayed by 1 h compared to working days.The strength of intercity travel connections highlights the emergence of two distinct transportation corridors between Beijing and Langfang.The structure of intercity travel revolves around provincial capital cities and economi-cally developed urban areas,with other cities situated on the periphery.The findings of this paper pro-vide valuable insights for assessing the level of regional integration and offer guidance for the planning and construction of transportation systems within urban agglomerations.
作者
陈立峰
尚晶
刘婷婷
闫学东
何庆
CHEN Lifeng;SHANG Jing;LIU Tingting;YAN Xuedong;HE Qing(China Mobile Information Technology Co.,Ltd.,Guangzhou 510020,China;School of Traffic and Transportation,Beijing Jiaotong University,Beijing 100044,China)
出处
《北京交通大学学报》
CAS
CSCD
北大核心
2023年第5期162-168,共7页
JOURNAL OF BEIJING JIAOTONG UNIVERSITY
基金
国家自然科学基金(71621001)。
关键词
城际出行
手机信令数据
时空特征
出行网络特征
城市群
intercity travel
mobile phone signaling data
spatiotemporal characteristics
travel net-work characteristics
urban agglomeration