首页|基于手机信令数据的山地组团城市职住分布与通勤流空间特性研究

基于手机信令数据的山地组团城市职住分布与通勤流空间特性研究

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为明晰山地组团城市的职住空间分布和通勤流空间分布特性,选取贵阳市为案例,基于手机信令数据,采用空间错位指数、职住偏离度、职住分离率 3 个指标分析城市职住空间关系;并基于社会网络分析法分析城市通勤流的空间分布特性.结果表明:①贵阳市的人口和岗位空间分布基本一致,且存在部分空间上的重合.②贵阳市各县域的职住同区比例较高,职住空间发展相对协调,职住偏离程度并不高,职住基本平衡.③贵阳市的通勤流空间整体上呈现出"南强北弱"的空间格局,通勤结构呈现出以贵阳老城为中心的主要通勤圈和以观山湖区为核心的副通勤圈的空间格局.
Spatial Characteristics of Employment and Residence Distribution and Commuting Flow in Mountain Cluster Cities Based on Mobile Phone Signaling Data
To clear the spatial distribution characteristics of occupational and residential spaces and commuting flow in mountainous cluster cities,Guiyang city was selected as a case study.Based on mobile signaling data,three indicators,namely spatial dislocation index,occupational and residential deviation degree,and occupational and residential separation rate,are used to analyze the spatial relationship of urban occupational and residential spaces.And the spatial distribution characteristics of urban commuting flow are analyzed based on the social network analysis.The results indicate the following:① The spatial distribution of population and job positions in Guiyang city is basically consistent,with some spatial overlaps.②The proportion of vocational and residential areas in each county of Guiyang city is relatively high,indicating a relatively coordinated development of vocational and residential spaces.The degree of deviation from vocational and residential areas is not significant,and the vocational and residential functions are basically balanced.③The commuting space in Guiyang city generally presents a spatial pattern of"strong in the south and weak in the north".The commuting structure presents a spatial pattern with the main commuting circle centered around the old city of Guiyang and the sub-commuting circle centered around Guanshanhu District.

Mobile phone signalingClustered sitiesEmployment and residence spaceCommuting flowsDegree of job-household matching

钟宇、李健波、成国积、赵庆文、何莉

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贵阳市交通委员会,贵阳 550003

昆明理工大学 交通工程学院,昆明 650500

手机信令数据 组团城市 职住空间 通勤流 职住匹配程度

贵州省交通厅科技项目

2022-341-040

2024

交通与运输
上海市交通工程学会

交通与运输

影响因子:0.342
ISSN:1671-3400
年,卷(期):2024.40(2)
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