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公交出行视角下的深圳市组团结构及其演变特征分析

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空间组团是城市中具有相对紧密联系的地理单元.在时空大数据时代,空间组团的构成正从传统规划中的静态划分拓展为实际活动的动态探测,从而推动对城市空间发展状态的动态认知.公共交通是促进城市与交通可持续发展的重要组成部分,探究公共交通出行组团结构的时空演变特征,是改善公共交通可达性与公平性的基石.本文基于复杂网络组团探测技术,利用公共交通智能卡数据识别与构建城市公共交通出行组团,并分析其结构与演变特征.
Analysis of Community Structure and Evolution Characteristics in Shenzhen from the Perspective of Public Transport Travel
Spatial community is a geographical unit whose sub-units are closely related in a city.In the era of spatiotem-poral big data,the dynamic detection based on actual activities promotes the dynamic cognition for the evolution of urban spa-tial structure.Exploring the spatiotemporal evolution of pub-lic transit communities lays the foundation for improving the accessibility and equity of public transportation.Based on smart card data,this study employs community detection ap-proach to identify urban public transit communities,and ex-plores the structure and spatiotemporal evolution characteris-tics of public transit communities.This study is conducted for public transit in Shenzhen,using public transit data from 2015 to 2017.The results show that:(1)Urban public transit trav-el network shows a radioactive structure with Nanshan-Baoan、Futian-Longhua、Luohu-Longgang as the main axis;(2)The public transit network shows obvious community structure,and the newly opened rail transit lines have a significant impact on residents'travel community structure;(3)The public transit communities are in dynamic evolution;(4)The public transit communities and administrative units are spatially coupled.

public transit networkcommunity structuresmart cards for public transportdynamic evolution

晏晶晶、黄正东、赵天鸿、张莹、常飞

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深圳大学建筑与城市规划学院智慧城市研究院,广东 深圳,518060

粤港澳智慧城市联合实验室,广东 深圳,518060

深圳市城市数字孪生技术重点实验室,广东 深圳,518060

深圳技术大学大数据与互联网学院,广东 深圳,518118

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公交出行网络 组团结构 公交智能卡 动态演变

2024

测绘地理信息
武汉大学

测绘地理信息

CSTPCD
影响因子:0.563
ISSN:1007-3817
年,卷(期):2024.49(6)