基于手机信令数据的长三角全域城际出行网络分析

李自圆, 孙昊, 李林波

清华大学学报(自然科学版) ›› 2022, Vol. 62 ›› Issue (7) : 1203-1211.

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清华大学学报(自然科学版) ›› 2022, Vol. 62 ›› Issue (7) : 1203-1211. DOI: 10.16511/j.cnki.qhdxxb.2022.26.016
论文

基于手机信令数据的长三角全域城际出行网络分析

  • 李自圆, 孙昊, 李林波
作者信息 +

Analysis of intercity travel in the Yangtze River Delta based on mobile signaling data

  • LI Ziyuan, SUN Hao, LI Linbo
Author information +
文章历史 +

摘要

出行需求的规模和空间分布是交通规划制定的重要依据。该文从包含2019年5月31日的手机信令数据中提取长三角41个城市下辖的306个区县之间稳定的出行联系,构建城际出行网络;利用复杂网络分析方法,从节点和边的角度,分析长三角城际出行的规模和空间分布特征。结果表明:长三角内已形成广泛的城际出行联系,但仅在南京、苏州、无锡、常州、上海、杭州、镇江、绍兴、池州等少数地区具有高强度城际出行,区县经济规模、地理区位、交通条件影响城际出行能力和强度。城际出行空间分布具有明显的空间近邻性和强度层次性,高强度等级的出行联系均发生在紧邻的区县之间,以0.05%的出行联系承担了39.4%的出行强度。首位联系呈现点簇状结构,城际出行仍然存在向心性。

Abstract

The scale and spatial distribution of travel demand are important for transportation planning. The stable travel demand network among 306 counties in the Yangtze River Delta (YRD) was extracted from mobile phone signaling data. The scale and spatial distribution characteristics of intercity travel in the YRD were analyzed from nodes and edges based on the complex network analysis method. The results show that extensive intercity travel links have been formed in the YRD. However, only a few counties within Nanjing, Suzhou, Wuxi, Changzhou, Shanghai, Hangzhou, Zhenjiang, Shaoxing, and Chizhou etc. have high-intensity intercity travel. Moreover, the economic scale, geographical location, and transportation conditions of counties affect the capability and intensity of intercity travel. The spatial distribution of intercity trips has evident spatial proximity and intensity hierarchy. High-intensity trips are responsible for 39.4% of the trip intensity with 0.05% of the number of links. The intercity trips still have a centripetal nature.

关键词

城市群 / 城际出行 / 手机信令 / 复杂网络

Key words

urban agglomeration / intercity travel / mobile phone signaling / complex network

引用本文

导出引用
李自圆, 孙昊, 李林波. 基于手机信令数据的长三角全域城际出行网络分析[J]. 清华大学学报(自然科学版). 2022, 62(7): 1203-1211 https://doi.org/10.16511/j.cnki.qhdxxb.2022.26.016
LI Ziyuan, SUN Hao, LI Linbo. Analysis of intercity travel in the Yangtze River Delta based on mobile signaling data[J]. Journal of Tsinghua University(Science and Technology). 2022, 62(7): 1203-1211 https://doi.org/10.16511/j.cnki.qhdxxb.2022.26.016

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基金

长三角区域一体化背景下多模式交通融合动力机制研究资助项目(20BGL291)

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