Please wait a minute...
浙江大学学报(理学版)  2021, Vol. 48 Issue (5): 606-616    DOI: 10.3785/j.issn.1008-9497.2021.05.012
地球科学     
基于铁路客运视角的长三角区域网络结构研究
陈万隆, 冯友建
浙江大学 地球科学学院,浙江 杭州 310058
Research on the regional network structure of the Yangtze River Delta from the perspective of railway passenger transport
CHEN Wanlong, FENG Youjian
School of Earth Sciences, Zhejiang University, Hangzhou 310058, China
 全文: PDF(4062 KB)   HTML  
摘要: 区域网络结构研究是区域一体化发展规划的重要依据。基于铁路客运视角开展研究是区域网络结构研究的重要途径之一。本文结合社会网络分析方法和ArcGIS空间分析方法,依据2015—2019年长三角区域城际铁路客运班次数据,从网络密度、网络中心度、核心-边缘结构和凝聚子群4个方面对长三角区域城市网络结构特征及其演变趋势进行研究。结果表明:(1)长三角区域城市间铁路流数量呈不断增长趋势,铁路客运联系的空间分布不平衡,主轴与次轴相互交织共同构成整体网络;(2)城市网络密度显著上升,网络结构复杂,但处于弱连接状态,江浙沪省际联系紧密,安徽省有待进一步融入长三角区域一体化;(3)度数中心度两极分化显著、高低值区地域集聚特征明显、核心城市控制力强势;(4)由上海市、南京市、苏州市、无锡市、常州市等组成的宁沪主轴沿线城市群在长三角区域内关系最为紧密、一体化程度最高;(5)凝聚子群分布形态的组织性逐步增强,以区域内的中心城市为枢纽,形成了具有地理邻近性的铁路客运联系网络;(6)长三角区域总体网络结构特征为空间分布不平衡、城市首位度突出、形成各级凝聚子群,总体演变趋势为网络联系趋于紧密、网络结构趋于复杂、分布形态趋于优化。
关键词: 社会网络分析ArcGIS空间分析铁路客运联系长三角网络结构    
Abstract: Research on regional network structure provides an important basis for regional integrated development planning and the perspective of railway passenger transportation is recognized as an effective way to study the regional network structure. Based on the railway passenger data of the Yangtze River Delta region from 2015 to 2019, using social network analysis combined with ArcGIS spatial analysis method, this paper studies the urban network structure characteristics and its evolution trend in the Yangtze River Delta region from four aspects: network density, network centrality, core-edge structure and cohesive subgroups. The results show that: (1) The number of railway flows between cities in the Yangtze River Delta is increasing, the spatial distribution of railway passenger transport links is unbalanced, the main axis and secondary axis are interwoven to form an overall network; (2) The density of urban network is increasing significantly, and the network structure tends to be complex, but still in a state of weak connection, Jiangsu, Zhejiang and Shanghai are closely linked, and Anhui needs to be further integrated into the Yangtze River Delta regional integration; (3) The two-level differentiation of degree centrality is significant, the regional agglomeration characteristics of high and low value areas are obvious, and the control power of core cities is strong; (4) The urban agglomeration along the Nanjing-Shanghai main axis composed of Shanghai, Nanjing, Suzhou, Wuxi and Changzhou is the most closely related and most integrated part of the whole Yangtze River Delta region; (5) The organization of the distribution patterns of cohesive subgroups has gradually increased, and the regional central city is taken as the hub, forming a railway passenger transport network with geographical proximity. (6) The overall network structure of the Yangtze River Delta region is characterized by unbalanced spatial distribution, prominent urban primacy, and formation of cohesive subgroups at all levels. The overall evolution trend is that network connections tend to be closer, network structure tends to become more complex, and distribution patterns tend to be optimized.
Key words: railway passenger transport connection    ArcGIS spatial analysis    social network analysis    network structure    Yangtze River Delta
收稿日期: 2020-05-14 出版日期: 2021-09-15
CLC:  K 901  
通讯作者: ORCID:https://orcid.org/0000-0002-2486-6533,E-mail:jlong@zju.edu.cn.     E-mail: jlong@zju.edu.cn
作者简介: 陈万隆(1994—),ORCID:https://orcid.org/0000-0002-3835-6411,男,硕士研究生,主要从事经济地理学研究,E-mail:chenwanlong@zju.edu.c;
服务  
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章  
陈万隆
冯友建

引用本文:

陈万隆, 冯友建. 基于铁路客运视角的长三角区域网络结构研究[J]. 浙江大学学报(理学版), 2021, 48(5): 606-616.

CHEN Wanlong, FENG Youjian. Research on the regional network structure of the Yangtze River Delta from the perspective of railway passenger transport. Journal of Zhejiang University (Science Edition), 2021, 48(5): 606-616.

链接本文:

https://www.zjujournals.com/sci/CN/10.3785/j.issn.1008-9497.2021.05.012        https://www.zjujournals.com/sci/CN/Y2021/V48/I5/606

1 熊剑平, 刘承良, 袁俊. 国外城市群经济联系空间研究进展[J]. 世界地理研究,2006, 15(1): 63-70. DOI:10.3969/j.issn.1004-9479.2006.01.011 XIONG J P, LIU C L, YUAN J. Progress in foreign research on economic linkages of city agglomeration[J]. World Regional Studies, 2006,15(1):63-70. DOI:10.3969/j.issn.1004-9479.2006.01.011
2 钟业喜,冯兴华,文玉钊. 长江经济带经济网络结构演变及其驱动机制研究[J]. 地理科学, 2016, 36(1): 13-22. DOI:10.1329/j.cnki.sgs.2016.01.002 ZHONG Y X, FENG X H, WEN Y Z. The evolvement and driving mechanism of economic network structure in the Changjiang River Economic Zone[J]. Scientia Geographica Sinica, 2016, 36(1): 13-22. DOI:10.1329/j.cnki.sgs.2016.01.002
3 孟德友,冯兴华,文玉钊. 铁路客运视角下东北地区城市网络结构演变及组织模式探讨[J]. 地理研究,2017, 36(7): 1339-1352. doi:10.11821/dlyj201707012 MENG D Y, FENG X H, WEN Y Z. Urban network structure evolution and organizational pattern in Northeast China from the perspective of railway passenger transport[J] Geographical Research, 2017, 36(7): 1339-1352. doi:10.11821/dlyj201707012
4 CASTELLS M. The space of flows:A theory of space in the informational society[C]//Conference of the New Urbanism, Princeton: Princeton University Press, 1992:131-140.
5 DERUDDER B, WITLOX F. Mapping world city networks through airline flows: Context, relevance, and problem[J]. Journal of Transport Geography, 2008, 16(5): 305-312. DOI:10.1016/j.jtrangeo. 2007.12.005
6 SMITH D A, MICHAEL T. World city networks and hierarchies, 1977-1997: An empirical analysis of global air travel links[J]. American Behavioral Scientist, 2001, 44(10): 1656-1678. DOI:10.1177/00027640121958104
7 ALDERSON A S, BECKFIELD J. Power and position in the world city system[J]. American Journal of Sociology, 2004, 109(4): 811-851. DOI:10.1086/378930
8 MAGGIONI M A, NOSVELLI M, UBERTI T E. Space versus networks in the geography of innovation: A European analysis[J]. Papers in Regional Science, 2007, 86(3): 471-493. DOI:10.1111/j.1435-5957. 2007.00130.x
9 焦敬娟,王姣娥,金凤君,等. 高速铁路对城市网络结构的影响研究: 基于铁路客运班列分析[J]. 地理学报, 2016, 71(2): 265-280. DOI:10.11821/dlxb 201602007 JIAO J J, WANG J E, JIN F J, et al. Impact of high-speed rail on inter-city network based on the passenger train network in China, 2003-2013[J]. Acta Geographica Sinica, 2016, 71(2): 265-280. DOI:10.11821/dlxb201602007
10 朱惠斌. 基于航空客流的中国城市功能网络研究[J]. 经济地理, 2014, 34(4): 59-63. doi:10.4028/www.scientific.net/amm.496-500.2963 ZHU H B. The Chinese city function network based on aviation passenger flow[J]. Economic Geography, 2014, 34(4): 59-63. doi:10.4028/www.scientific.net/amm.496-500.2963
11 武前波,宁越敏. 中国城市空间网络分析: 基于电子信息企业生产网络视角[J]. 地理研究,2012, 31(2): 207-219. DOI:10.11821/yj2012020002 WU Q B, NING Y M. China's urban network based on spatial organization of electronic information enterprises[J]. Geographical Research, 2012, 31(2): 207-219. DOI:10.11821/yj2012020002
12 魏冶,修春亮,刘志敏, 等. 春运人口流动透视的转型期中国城市网络结构[J].地理科学,2016, 36(11): 1654-1660. DOI:10.13249/j.cnki.sgs.2016.11.007 WEI Y, XIU C L, LIU Z M, et al. Spatial pattern of city network in transitional China based on the population flows in "Chunyun" period[J]. Scientia Geographica Sinica, 2016, 36(11): 1654-1660. DOI:10.13249/j.cnki.sgs.2016.11.007
13 王珏,陈雯,袁丰. 基于社会网络分析的长三角地区人口迁移及演化[J].地理研究, 2014, 33(2): 385-400. DOI:10.11821/dlyj201402016 WANG J, CHEN W, YUAN F. Human mobility and evolution based on social network: An empirical analysis of Yangtze River Delta[J]. Geographical Research, 2014, 33(2): 385-400. DOI:10.11821/dlyj201402016
14 冷炳荣,杨永春,李英杰,等. 中国城市经济网络结构空间特征及其复杂性分析[J].地理学报,2011, 66(2): 199-211. DOI:10.11821/xb201102006 LENG B R, YANG Y C, LI Y J, et al. Spatial characteristics and complex analysis: A perspective from basic activities of urban networks in China[J]. Acta Geographica Sinica, 2011, 66(2): 199-211. DOI:10.11821/xb201102006
15 徐宜青,曾刚,王秋玉. 长三角城市群协同创新网络格局发展演变及优化策略[J]. 经济地理, 2018, 38(11): 133-140. DOI:10.15957/j.cnki.jjdl.2018. 11.015 XU Y Q, ZENG G, WANG Q Y. Pattern evolution and optimization of synergic innovation network in Yangtze River Delta urban agglomeration[J]. Economic Geography, 2018, 38(11): 133-140. DOI:10.15957/j.cnki.jjdl.2018.11.015
16 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(7): 69-75. XIONG L F, ZHEN F, WANG B, et al. The research of the Yangtze River Delta core area's city network characteristics based on Baidu index[J]. Economic Geography, 2013(7): 69-75.
17 邵海雁,徐晨璐,钟业喜. 基于列车时刻表的长三角城市群铁路交通网络演变特征[J]. 江西科学,2019,37(3): 350-358. SHAO H Y, XU C L, ZHONG Y X. Yangtze River Delta urban railway based on train timetable traffic network evolution characteristics[J]. Jiangxi Science, 2019, 37(3): 350-358.
18 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. DOI:10.11821/yj2011050002 ZHONG Y X, LU Y Q. Hierarchical structure and distribution pattern of Chinese urban system based on railway network[J]. Geographical Research, 2011, 30(5): 785-794. DOI:10.11821/yj2011050002
19 初楠臣,张平宇,姜博. 基于日高铁流量视角的中国高速铁路网络空间特征[J]. 地理研究,2018, 37(11): 2193-2205. DOI:10.11821/dlyj201811006 CHU N C, ZHANG P Y, JIANG B. Spatial characteristics of Chinese high-speed railway network from the perspective of daily flow[J]. Geographical Research, 2018, 37(11): 2193-2205. DOI:10. 11821/dlyj201811006
20 蒋海兵,祁毅,李传武. 中国城市高速铁路客运的空间联系格局[J]. 经济地理,2018,38(7):26-33. DOI:10.15957/j.cnki.jjdl.2018.07.004 JIANG H B, QI Y, LI C W. China's city high-speed rail (HSR) passenger spatial linkage pattern and its influence factors[J]. Economic Geography, 2018, 38(7): 26-33. DOI:10.15957/j.cnki.jjdl.2018.07.004
21 赵映慧,初楠臣,郭晶鹏, 等. 中国三大城市群高速铁路网络结构与特征[J]. 经济地理,2017, 37(10): 68-73. DOI:10.15957/j.cnki.jjdl.2017.10.009 ZHAO Y H, CHU N C, GUO J P, et al. High-speed railway network structure and characteristics in three urban agglomerations in China[J].Economic Geography, 2017, 37(10): 68-73. DOI:10.15957/j.cnki.jjdl.2017.10.009
22 王海江,苗长虹. 中国中心城市铁路客运的空间联系及其结构图谱[J]. 地理研究,2015, 34(1): 157-168. DOI:10.11821/dlyj201501014 WANG H J, MIAO C H. Railway passenger transport spatial contacts and their structure Tupu (array) of central cities in China[J]. Geographical Research, 2015, 34(1): 157-168. DOI:10.11821/dlyj201501014
23 李峥荣,徐邓耀,文玉钊. 流空间视角下城市网络结构特征及组织模式分析: 基于成渝城市群交通流和信息流的对比[J]. 经济论坛,2018(8): 143-149. doi:10.3390/su12187550 LI Z R, XU D Y, WEN Y Z. Analysis of characteristics of urban network structure and organizational pattern from the perspective of space of flows: Based on the comparison of traffic flow and information flow in Chengdu-Chongqing urban agglomeration[J]. Economic Forum, 2018(8): 143-149. doi:10.3390/su12187550
24 朱桃杏,吴殿廷,马继刚,等. 京津冀区域铁路交通网络结构评价[J]. 经济地理,2011, 31(4): 561-565. DOI:10.1111/j.1469-8749.1989.tb04038.x ZHU T X, WU D T, MA J G, et al. Evaluation of rail transport network within BEIJING-TIANJIN- HEBEI region[J]. Economic Geography, 2011, 31(4): 561-565. DOI:10.1111/j.1469-8749.1989.tb04038.x
25 刘正兵,刘静玉,何孝沛,等. 中原经济区城市空间联系及其网络格局分析: 基于城际客运流[J]. 经济地理,2014, 34(7): 58-66. LIU Z B, LIU J Y, HE X P, et al. The spatial connection and network feature of Zhongyuan economic district: Based on intercity traffic flow[J]. Economic Geography, 2014, 34(7): 58-66.
26 冯兴华,修春亮,钟业喜, 等. 长江经济带城市的网络层级: 基于铁路公路客运视角的分析[J]. 城市问题,2017(7): 20-28. FENG X H, XIU C L, ZHONG Y X, et al. Network hierarchy of cities in Yangtze River Economic Belt: Based on the perspective of railway and highway passenger transport[J]. Urban Problems, 2017(7): 20-28.
27 黄洁,钟业喜. 长江中游城市群铁路客运联系及其空间格局演变[J]. 世界地理研究,2016, 25(2): 72-81. DOI:10.3969/j.issn.1004-9479.2016.02.008 HUANG J, ZHONG Y X. Evolution of railway passenger traffic linkage and spatial pattern in Yangtze River middle reaches clusters[J]. World Regional Studies, 2016, 25(2): 72-81. DOI:10.3969/j.issn. 1004-9479.2016.02.008
28 孙阳,姚士谋,张落成. 长三角城市群“空间流”层级功能结构: 基于高铁客运数据的分析[J]. 地理科学进展,2016, 35(11): 1381-1387. doi:10.18306/dlkxjz.2016.11.008 SUN Y, YAO S M, ZHANG L C. Functional structure of spatial flow in the Yangtze River Delta: Analysis of passenger based data for the high speed railway[J]. Progress in Geography, 2016, 35(11): 1381-1387. doi:10.18306/dlkxjz.2016.11.008
29 韦胜,徐建刚,马海涛. 长三角高铁网络结构特征及形成机制[J]. 长江流域资源与环境,2019, 28(4): 739-746. doi:10.1007/s12061-020-09334-7 WEI S, XU J G, MA H T. Structural characteristics and formation mechanism of high-speed rail network in Yangtze River Delta[J]. Resources and Environment in the Yangtze Basin, 2019, 28(4): 739-746. doi:10.1007/s12061-020-09334-7
30 陈建军,郑广建,刘月. 高速铁路对长江三角洲空间联系格局演化的影响[J]. 经济地理,2014, 34(8): 54-67. doi:10.5353/th_b4818354 CHEN J J, ZHENG G J, LIU Y. The spatial connection evaluation of Yangtze River Delta with the high-speed rail[J]. Economic Geography, 2014, 34(8): 54-67. doi:10.5353/th_b4818354
31 罗震东,朱查松,薛雯雯. 基于高铁客流的长江三角洲空间结构再审视[J]. 上海城市规划,2015(4): 74-80. doi:JournalArticle/5b3c168cc095d70f00a5957f LUO Z D, ZHU C S, XUE W W. The analysis on spatial structure of Yangtze River Delta based on passenger flow of high-speed railway[J]. Shanghai Urban Planning Review, 2015(4): 74-80. doi:JournalArticle/5b3c168cc095d70f00a5957f
32 钟业喜,冯兴华,文玉钊. 长江经济带经济网络结构演变及其驱动机制研究[J]. 地理科学,2016, 36(1): 10-19. DOI:10.1329/j.cnki.sgs.2016.01.002 ZHONG Y X, FENG X H, WEN Y Z. The evolvement and driving mechanism of economic network structure in the Changjiang River Economic Zone[J]. Scientia Geographica Sinica, 2016, 36(1): 10-19. DOI:10.1329/j.cnki.sgs.2016.01.002
[1] 赵国超,吴佩一,虞晓芬. 智慧社区运营的主体识别与社会网络分析[J]. 浙江大学学报(理学版), 2022, 49(3): 384-390.
[2] 敬峰瑞, 孙虎, 龙冬平. 基于网络文本的西溪湿地公园旅游体验要素结构特征分析[J]. 浙江大学学报(理学版), 2017, 44(5): 623-630.
[3] 林文辉, 毛峰, 何虹, 赵文彪, 欧阳娟, 刘婷, 张登荣. 杭州市景点旅游流空间网络分析[J]. 浙江大学学报(理学版), 2016, 43(4): 458-464.
[4] 吴潘, 吴晋峰, 周芳如, 李佳丽. 目的地内部旅游交通通达性评价方法研究——以西安为例[J]. 浙江大学学报(理学版), 2016, 43(3): 345-356.