地理科学进展 ›› 2019, Vol. 38 ›› Issue (11): 1726-1734.doi: 10.18306/dlkxjz.2019.11.008

• 研究论文 • 上一篇    下一篇

东北三省城市人居活动网络结构及影响因素分析——基于百度贴吧分析

李雪铭1,2, 刘贺1,*(), 田深圳1, 宫一路3   

  1. 1. 辽宁师范大学地理科学学院,辽宁 大连 116029
    2. 辽宁师范大学海洋经济与可持续发展研究中心,辽宁 大连 116029
    3. 大连工业大学艺术设计学院,辽宁 大连 116034
  • 收稿日期:2018-12-24 修回日期:2019-04-22 出版日期:2019-11-28 发布日期:2019-11-28
  • 通讯作者: 刘贺 E-mail:1131228241@qq.com
  • 作者简介:李雪铭(1964- ),男,江苏常熟人,教授,博士生导师,主要研究方向为城市人居环境。E-mail: lixueming999@163.com
  • 基金资助:
    国家自然科学基金项目(41671158);教育部博士点基金项目(20132136110001);辽宁省高等学校优秀人才支持计划(LR2013050)

Network structure and influencing factors of urban human habitat activities in the three provinces of Northeast China:Based on Baidu Post Bar data

LI Xueming1,2, LIU He1,*(), TIAN Shenzhen1, GONG Yilu3   

  1. 1. School of Geography, Liaoning Normal University, Dalian 116029, Liaoning, China
    2. Center for Marine Economy and Sustainable Development Research, Liaoning Normal University, Dalian 116029, Liaoning, China
    3. School of Art and Design, Dalian University of Technology, Dalian 116034, Liaoning, China
  • Received:2018-12-24 Revised:2019-04-22 Online:2019-11-28 Published:2019-11-28
  • Contact: LIU He E-mail:1131228241@qq.com
  • Supported by:
    National Natural Science Foundation of China, No(41671158);Ministry of Education Doctoral Fund Project, No(20132136110001);Liaoning Provincial Higher Education Excellent Talent Support Program, No(LR2013050)

摘要:

人居活动是城市网络的根本,探究城市人居活动网络结构对促进区域协调发展具有重要的实践意义。论文利用百度贴吧数据分析城市人居活动,运用社会网络分析法等研究方法探究城市人居活动网络体系,并通过QAP论文相关及回归分析对城市人居活动网络结构影响因素进行初步分析。结果表明:① 整体网络方面,人居活动区域联系密度为95.99%,东北三省城市之间普遍存在联系;城市联系类型可划分为全域型、普遍型、较多型、一般型以及较少型五种类型;② 层级结构方面,东北三省省内人居活动网络层级较为明显,区域范围内尚未形成主导型城市及次级主导型城市;③ 城市体系方面,省内人居活动网络体系较为完备,形成了较为明显的城市网络体系;④ 影响因素方面,旅游资源、行政关系、空间邻近及收入水平对城市人居活动网络结构产生显著影响。

关键词: 百度贴吧, 人居活动, 城市网络, 影响因素, 东北三省

Abstract:

Human habitat activity is the foundation of urban network. Examining the network structure of human habitat activities has important practical significance for promoting regional coordinated development. This study used Baidu Post Bar data to characterize urban human habitat activities, employed a social network analysis method to study the urban human habitat activity network system, and used quadratic assignment procedure (QAP) correlation and regression analysis to analyze the influencing factors of urban human habitat activity network structure. The results show that: 1) In terms of the overall network, the density of contact in the habitat activity area is 95.99%, and there are widespread connections among the cities in the three northeastern provinces. Urban connections can be divided into five types: global, common, relatively high, medium, and relatively low. 2) Urban human habitat activity network hierarchy at intraprovincial level is more obvious, and dominant cities and sub-dominant cities have not yet formed within the regional scope. 3) The network system of human habitat activities within the provinces is relatively complete, forming a relatively obvious urban network system. 4) In terms of influencing factors, tourism resources, administrative relations, spatial proximity, and income levels have significant impacts on the formation of urban human habitat activity networks.

Key words: Baidu Post Bar, human habitat activity, urban network, influencing factors, three Northeast provinces