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组团城市通勤流网络特征及影响因素分析——以贵阳市为例

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以组团城市贵阳为例,基于通勤流数据,分析了区域内不同尺度下的通勤流网络特征,评估了通勤流网络与公交设施网络的耦合协调关系,并采用改进重力模型探究了不同尺度下通勤流的影响因素,旨在为组团城市交通系统优化和职住空间布局等提供参考.结果显示:(1)通勤流网络层级结构明显,整体上呈现以老城区、观山湖组团为核心并逐步向外延伸的空间联系格局;(2)通勤流网络与公交设施网络的耦合协调度整体偏低,多数地区处于不协调状态,公共交通设施有待完善;(3)出发地的人口数和到达地的职住比会对通勤流动产生显著的正向影响,而空间距离是抑制通勤流动的重要因素.在交通小区尺度,通勤流动高值通常发生在用地功能不均衡的两个地区之间.
Analysis of Network Characteristics and Influencing Factors of Commuting Flow in Group Cities:A Case Study of Guiyang
Taking Guiyang as an example,based on the commuting flow data,this paper analyzes the characteris-tics of the commuting flow network at different scales in the region,evaluates the coupling and coordination rela-tionship between commuting flow network and bus facility network,and explores the influencing factors of commu-ting flow at different scales by using the improved gravity model.This paper aims to provide a reference for the op-timization of urban traffic systems and the layout of job-housing space in the group.The results show that:(1)The hierarchical structure of the commuter flow network is obvious,and the overall spatial connection pattern with the old city and the Guanshan Lake group as the core and gradually extending outward.(2)The coupling coordi-nation degree between the commuter flow network and transit facility network is generally low.Most areas are in an uncoordinated state,and public transport facilities need to be improved.(3)The number of people from the place of origin and the job-housing ratio of the place of arrival have a significant positive impact on commuting mobili-ty,and spatial distance is an important factor inhibiting commuting mobility.At the scale of the traffic zone,the high value of commuter flow usually occurs between two areas with unbalanced land use functions.

group citiescommuting flownetwork characteristicscoupling coordinationinfluencing factors

何明卫、赵庆文、李健波

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昆明理工大学交通工程学院,云南昆明 650500

组团城市 通勤流 网络特征 耦合协调 影响因素

国家自然科学基金项目

72361015

2024

昆明理工大学学报(自然科学版)
昆明理工大学

昆明理工大学学报(自然科学版)

CSTPCD北大核心
影响因子:0.516
ISSN:1007-855X
年,卷(期):2024.49(4)
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