文献类型：期刊文献

中文题名：基于公路大数据的黔中城市群一体化研究

英文题名：Regional integration of Qianzhong cities using highway big data

作者：龙奋杰 郑龙飞 石朗 陈子晏

第一作者：龙奋杰

机构：[1]清华大学恒隆房地产研究中心;[2]贵州理工学院;[3]清华大学建设管理系

第一机构：清华大学恒隆房地产研究中心,北京100084

年份：2019

卷号：53

期号：2

起止页码：307-314

中文期刊名：浙江大学学报：工学版

外文期刊名：Zhejiang Daxue Xuebao (Gongxue Ban)/Journal of Zhejiang University (Engineering Science)

收录：CSTPCD;;EI(收录号：20191706835559);Scopus(收录号：2-s2.0-85064664345);北大核心:【北大核心2017】；CSCD:【CSCD2019_2020】；

基金：国家社会科学基金重点资助项目(14AJY012)

语种：中文

中文关键词：黔中城市群;区域一体化;重力模型;公路大数据;泊松回归

外文关键词：Qianzhong cities;regional integration;gravity model;highway big data;Poisson regression

摘要：城市群一体化的核心是要素在城市间无障碍地自由流通,城市间人员、货物等要素的流量是测度城市群一体化程度的重要指标.通过收集2016年4月1日至12月30日黔中城市群辖区内165个高速公路收费站16 783 229条收费数据,汇总城市群内5个地级市(州)33个区县之间的车流往来数量,计算各区县之间的贸易和人员流量.将其置于重力模型框架下,在控制行政面积、人口、距离等干扰因素的条件下,依据行政边界是否对人员和贸易流量存在显著影响来测度黔中城市群的一体化程度.结果表明,黔中城市群整体上一体化程度较低,行政边界对人员和贸易流量均存在显著的负向影响.首次通过高速公路大数据对黔中城市群一体化程度进行分析,为城市群一体化的评价提供了新的视角和方法,解决了以往研究中存在的主观性依赖和微观信息缺失的问题.
The core of regional integration is the free flow of production factors among various cities,and the flows of production factors such as labor and trade between cities are important indexes of urban integration of city group.The traffic flows among the 33 counties districts of 5 prefecture-level cities in the Qianzhong cities were calculated to reflect the labor and trade flows among districts and counties,according to the collection of 16 783 229 toll data of165 highway toll stations in the Qianzhong cities from April 1,2016 to December 30,2016.The toll data were placed under the framework of the gravity model,and the administrative areas,population,distance and other interference factors were controlled.The degree of regional integration in the Qianzhong cities was analyzed with the criterion that whether administrative boundary had great impact on labor and trade flows or not.Results showed that the overall integration of Qianzhong cities was relatively low,and the administrative boundary had a significant negative impact on labor and trade flows.For the first time,the degree of regional integration of the Qianzhong cities was analyzed through highway big data,and a new perspective and method for the assessment of the regional integration was provided.This method can solve the problems of subjective dependence and lack of microinformation in previous studies.