基于百度指数的黑龙江省城市网络研究
|
摘要
通过网络获取2014,2015年黑龙江省城市间的年平均百度指数,模拟城市间信息流,利用Taylor的世界城市网络研究方法、C-Value和D-Value层次分析法,从城市信息流量、城市网络结构和城市在网络中的主导性与控制力3方面对黑龙江省城市网络进行研究。结果表明:(1)黑龙江省各城市信息流量的层级分布特征明显,全省城市信息流总量有较大增长,但不同城市的增长率差异显著,总体呈现不均衡发展态势。(2)黑龙江省城市网络结构极化,南部城市的信息流密度大于北部城市,佳木斯失去了副中心城市的地位,哈尔滨的核心地位强化。(3)哈尔滨在城市网络的主导性和控制力强度远大于其他城市,绥化、鸡西、双鸭山和佳木斯的主导性和控制力强度增长明显,城市的主导性和控制力强度与其信息流量大小没有必然关系。
In this thesis,the author gets the intercity average annual baidu index of Heilongjiang Province in 2014 and 2015 from the Internet to simulate the information flow among the cities. Then the author borrows ideas from Peter Taylor's world city network research methods and hierarchical methods of C-Value and D-Value and analyzes the network among the cities in Heilongjiang Province in terms of the total amount of information flow,urban structure of the network,the city's dominance and control in the network. The study shows that:( 1) There exists obvious hierarchy in the total amount of information flow in different cities. The total amount of urban information flow has increased significantly,but the growth rate of the cities is quite different with imbalance of development as a whole.( 2) The urban network of Heilongjiang Province displays polarization with the information flow distribution density greater in the south than in the north. Jiamusi has lost the status of sub-center city,while Harbin's dominance has strengthened.( 3) The dominance and control of Harbin in the city network has much higher than other cities. The dominance and control in cities like Suihua,Jixi,Shuangyashan and Jiamusi has strengthened significantly. The amount of information flow is independent of a city's dominance and control.
In this thesis,the author gets the intercity average annual baidu index of Heilongjiang Province in 2014 and 2015 from the Internet to simulate the information flow among the cities. Then the author borrows ideas from Peter Taylor's world city network research methods and hierarchical methods of C-Value and D-Value and analyzes the network among the cities in Heilongjiang Province in terms of the total amount of information flow,urban structure of the network,the city's dominance and control in the network. The study shows that:( 1) There exists obvious hierarchy in the total amount of information flow in different cities. The total amount of urban information flow has increased significantly,but the growth rate of the cities is quite different with imbalance of development as a whole.( 2) The urban network of Heilongjiang Province displays polarization with the information flow distribution density greater in the south than in the north. Jiamusi has lost the status of sub-center city,while Harbin's dominance has strengthened.( 3) The dominance and control of Harbin in the city network has much higher than other cities. The dominance and control in cities like Suihua,Jixi,Shuangyashan and Jiamusi has strengthened significantly. The amount of information flow is independent of a city's dominance and control.
引文
[1]刘龙胜,马亮,邓肯.客运中心地理论及其应用研究[J].城市规划,2014,38(7):48-56.
[2]李小建,李国平,曾刚.经济地理学[M].2版.北京:高等教育出版社,2006:92-99.
[3]李晓玲,刘慈航,刘大平,等.改革开放以来东北地区城市体系等级规模结构演变特征及动力机制[J].东北师大学报(自然科学版),2014,46(3):132-138.
[4]李仙德.城市网络结构与演变[M].北京:科学出版社,2015:11.
[5]陈晨,修春亮.流空间视角的东北地区城市网络研究[J].地域研究与开发,2014,33(4):82-89.
[6]叶浩,濮励杰,张鹏.中国城市体系的空间分布格局及其演变[J].地域研究与开发,2013,32(2):41-45.
[7]张闯.城市网络研究中的数据与测量[J].当代经济科学,2011,31(3):106-112.
[8]汪明峰,高丰.网络的空间逻辑:解释信息时代的世界城市体系变动[J].国际城市规划,2007,22(2):36-41.
[9]郑伯红,王志远.基于网络城市的长株潭城市群构建[J].地域研究与开发,2011,30(4):61-65.
[10]TAYLOR P J,CSOMOS G.Cities as Control and Command Centers:Analysis and Interpretation[J].Cities,2012,29(6):408-411.
[11]KRTKE S.How Manufacturing Industries Connect Cities across the World:Extending Research on‘Multiple Globalizations’[J].Global Networks,2014,14(2):121-147.
[12]LIU X,DERUDDER B,TAYLOR P J.Mapping the Evolution of Hierarchical and Regional Tendencies in the World City Network,2000—2010[J].Computers,Environment and Urban Systems,2014,43(1):51-66.
[13]王聪,曹有挥,陈国伟.基于生产性服务业的长江三角洲城市网络[J].地理研究,2014,33(2):323-335.
[14]金钟范.中国城市体系跨境网络结构特征——基于世界500强企业母子关系分析[J].地域研究与开发,2016,35(6):37-41.
[15]庄德林,杨羊,陈信康.长江经济带城市网络空间结构的特征——基于上市公司组织关系视角的分析[J].城市问题,2016(5):12-19.
[16]CASTELLS M.The Rise of the Network Society[M].Cambridge,M A:Blackwell,1996:106-110.
[17]WANG J,MO H,WANG F.Exploring the Network Structure and Nodal Centrality of China’s Air Transport Network:A Complex Network Approach[J].Journal of Transport Geography,2011,19(4):712-721.
[18]MAHUTGA M C,MA X,SMITH D A,et al.Economic Globalisation and the Structure of the World City System:The Case of Airline Passenger Data[J].Urban Studies,2010,47(9):1925-1947.
[19]MOULD O.Moving Images:World Cities Connections and Projects in Sydney’s TV Production Indutry[J].Global Network,2008,8(4):474-495.
[20]薛俊菲.基于航空网络的中国城市体系等级结构与分布格局[J].地理研究,2008,27(1):23-32.
[21]黄园园,闫庆武,冯志鹏,等.基于交通流强度的淮海经济区城市等级体系划分研究[J].地域研究与开发,2015,34(5):58-63.
[22]钟业喜,陆玉麒.基于铁路网络的中国城市等级体系与分布格局[J].地理研究,2011,30(5):785-794.
[23]马学广,李贵才.世界城市网络研究方法论[J].地理科学进展,2012,31(2):255-263.
[24]甄峰,王波,陈映雪.基于网络社会空间的中国城市网络特征——以新浪微博为例[J].地理学报,2012,67(8):1031-1043.
[25]熊丽芳,甄峰,王波,等.基于百度指数的长三角核心区城市网络特征研究[J].经济地理,2013,33(7):67-73.
[26]熊丽芳,甄峰,席广亮,等.我国三大经济区城市网络变化特征——基于百度信息流的实证研究[J].热带地理,2014,34(1):34-43.
[27]于欣洺,吴相利.基于百度指数的东北地区城市网络特征研究[J].哈尔滨师范大学自然科学学报,2015,31(6):114-118.
[28]吴志峰,柴彦威,党安荣,等.地理学碰上“大数据”:热反应与冷思考[J].地理研究,2015,34(12):2207-2221.
[29]甄峰,秦萧,王波.大数据时代的人文地理研究与应用实践[J].人文地理,2014,29(3):1-6.
[30]王莎.中国城市体系中的网络效应研究[D].长沙:湖南大学,2011.
[31]董倩,孙娜娜,李伟.基于网络搜索数据的房地产价格预测[J].统计研究,2014,31(10):81-88.
[32]WHEELER J O,MITCHELSON R L.Information Flows among Major Metropolitan Areas in the United States[J].Annals of the Association of American Geographers,1989,79(4):523-543.
[33]李博,佟连军,韩增林.东北地区煤炭城市脆弱性与可持续发展模式[J].地理研究,2010,29(2):361-372.
[34]刘长国,徐苏宁.东北地区城市体系空间发展现状、特征及布局优化[J].规划师,2012,28(5):64-67.
[35]周振华.全球化、全球城市网络与全球城市的逻辑关系[J].社会科学,2006(10):17-26.
[2]李小建,李国平,曾刚.经济地理学[M].2版.北京:高等教育出版社,2006:92-99.
[3]李晓玲,刘慈航,刘大平,等.改革开放以来东北地区城市体系等级规模结构演变特征及动力机制[J].东北师大学报(自然科学版),2014,46(3):132-138.
[4]李仙德.城市网络结构与演变[M].北京:科学出版社,2015:11.
[5]陈晨,修春亮.流空间视角的东北地区城市网络研究[J].地域研究与开发,2014,33(4):82-89.
[6]叶浩,濮励杰,张鹏.中国城市体系的空间分布格局及其演变[J].地域研究与开发,2013,32(2):41-45.
[7]张闯.城市网络研究中的数据与测量[J].当代经济科学,2011,31(3):106-112.
[8]汪明峰,高丰.网络的空间逻辑:解释信息时代的世界城市体系变动[J].国际城市规划,2007,22(2):36-41.
[9]郑伯红,王志远.基于网络城市的长株潭城市群构建[J].地域研究与开发,2011,30(4):61-65.
[10]TAYLOR P J,CSOMOS G.Cities as Control and Command Centers:Analysis and Interpretation[J].Cities,2012,29(6):408-411.
[11]KRTKE S.How Manufacturing Industries Connect Cities across the World:Extending Research on‘Multiple Globalizations’[J].Global Networks,2014,14(2):121-147.
[12]LIU X,DERUDDER B,TAYLOR P J.Mapping the Evolution of Hierarchical and Regional Tendencies in the World City Network,2000—2010[J].Computers,Environment and Urban Systems,2014,43(1):51-66.
[13]王聪,曹有挥,陈国伟.基于生产性服务业的长江三角洲城市网络[J].地理研究,2014,33(2):323-335.
[14]金钟范.中国城市体系跨境网络结构特征——基于世界500强企业母子关系分析[J].地域研究与开发,2016,35(6):37-41.
[15]庄德林,杨羊,陈信康.长江经济带城市网络空间结构的特征——基于上市公司组织关系视角的分析[J].城市问题,2016(5):12-19.
[16]CASTELLS M.The Rise of the Network Society[M].Cambridge,M A:Blackwell,1996:106-110.
[17]WANG J,MO H,WANG F.Exploring the Network Structure and Nodal Centrality of China’s Air Transport Network:A Complex Network Approach[J].Journal of Transport Geography,2011,19(4):712-721.
[18]MAHUTGA M C,MA X,SMITH D A,et al.Economic Globalisation and the Structure of the World City System:The Case of Airline Passenger Data[J].Urban Studies,2010,47(9):1925-1947.
[19]MOULD O.Moving Images:World Cities Connections and Projects in Sydney’s TV Production Indutry[J].Global Network,2008,8(4):474-495.
[20]薛俊菲.基于航空网络的中国城市体系等级结构与分布格局[J].地理研究,2008,27(1):23-32.
[21]黄园园,闫庆武,冯志鹏,等.基于交通流强度的淮海经济区城市等级体系划分研究[J].地域研究与开发,2015,34(5):58-63.
[22]钟业喜,陆玉麒.基于铁路网络的中国城市等级体系与分布格局[J].地理研究,2011,30(5):785-794.
[23]马学广,李贵才.世界城市网络研究方法论[J].地理科学进展,2012,31(2):255-263.
[24]甄峰,王波,陈映雪.基于网络社会空间的中国城市网络特征——以新浪微博为例[J].地理学报,2012,67(8):1031-1043.
[25]熊丽芳,甄峰,王波,等.基于百度指数的长三角核心区城市网络特征研究[J].经济地理,2013,33(7):67-73.
[26]熊丽芳,甄峰,席广亮,等.我国三大经济区城市网络变化特征——基于百度信息流的实证研究[J].热带地理,2014,34(1):34-43.
[27]于欣洺,吴相利.基于百度指数的东北地区城市网络特征研究[J].哈尔滨师范大学自然科学学报,2015,31(6):114-118.
[28]吴志峰,柴彦威,党安荣,等.地理学碰上“大数据”:热反应与冷思考[J].地理研究,2015,34(12):2207-2221.
[29]甄峰,秦萧,王波.大数据时代的人文地理研究与应用实践[J].人文地理,2014,29(3):1-6.
[30]王莎.中国城市体系中的网络效应研究[D].长沙:湖南大学,2011.
[31]董倩,孙娜娜,李伟.基于网络搜索数据的房地产价格预测[J].统计研究,2014,31(10):81-88.
[32]WHEELER J O,MITCHELSON R L.Information Flows among Major Metropolitan Areas in the United States[J].Annals of the Association of American Geographers,1989,79(4):523-543.
[33]李博,佟连军,韩增林.东北地区煤炭城市脆弱性与可持续发展模式[J].地理研究,2010,29(2):361-372.
[34]刘长国,徐苏宁.东北地区城市体系空间发展现状、特征及布局优化[J].规划师,2012,28(5):64-67.
[35]周振华.全球化、全球城市网络与全球城市的逻辑关系[J].社会科学,2006(10):17-26.