Spatial structure of urban agglomeration under the impact of high-speed railway construction: Based on the social network analysis

被引:110
作者
Zhang, Peifeng [1 ]
Zhao, Yaoyang [1 ]
Zhu, Xinhua [1 ]
Cai, Ziwei [1 ]
Xu, Jingxian [1 ]
Shi, Shi [1 ]
机构
[1] Hohai Univ, Sch Publ Adm, Nanjing 211100, Peoples R China
关键词
High-speed rail; Spatial structure of urban agglomerations; Social network analysis; Characteristics of space-time evolution; BEIJING-TIANJIN-HEBEI; YANGTZE-RIVER DELTA; LAND-USE; CENTRAL CHINA; URBANIZATION; EFFICIENCY; CITIES; CITY;
D O I
10.1016/j.scs.2020.102404
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
As a typical mode of modern transportation, high-speed rail (HSR) plays a key role in the formation and development of today's regional spatial pattern. Based on the panel data of 2009, 2012, 2015 and 2018, Beijing-Tianjin-Hebei Urban Agglomeration is taken as the research object and the social network analysis method is used by this research to explore the evolution of urban agglomeration spatial structure under the impact of HSR construction. The results show that Firstly, HSR construction increases the average network density of urban agglomeration by 0.0487, which promotes the spatial connection density of urban agglomeration in a positive way. Secondly, HSR can improve the point centrality of moderately developed cities by 0.87, reduce the spatial connection of urban agglomeration' dependence on core cities, and improve the urban agglomeration' stability of spatial structure. Thirdly, HSR can make more cities enter the core subgroup faster, and improve the speed of urban agglomeration evolution to the optimized state. Based on this, the following suggestions are put forward: first, cities without HSR should strengthen urban construction in order to achieve interconnection with cities with HSR as soon as possible. Second, HSR construction should be taken as an opportunity to cultivate new regional hub cities. Third, the transportation planning department should strive to improve the HSR construction level of the peripheral cities so that they can share the effect of HSR construction.
引用
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页数:11
相关论文
共 54 条
[1]  
[汪德根 Wang Degen], 2015, [地理学报, Acta Geographica Sinica], V70, P214
[2]   Social network analysis for personalized characterization and risk assessment of alcohol use disorders in adolescents using semantic technologies [J].
Alberto Benitez-Andrades, Jose ;
Garcia-Rodriguez, Isaias ;
Benavides, Carmen ;
Alaiz-Moreton, Hector ;
Rodriguez-Gonzalez, Alejandro .
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2020, 106 :154-170
[3]   High-speed rail networks, capacity investments and social welfare [J].
Bracaglia, Valentina ;
D'Alfonso, Tiziana ;
Nastasi, Alberto ;
Sheng, Dian ;
Wan, Yulai ;
Zhang, Anming .
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE, 2020, 132 :308-323
[4]   Comparison of spatial structures of urban agglomerations between the Beijing-Tianjin-Hebei and Boswash based on the subpixel-level impervious surface coverage product [J].
Cao, Shisong ;
Hu, Deyong ;
Hu, Zhuowei ;
Zhao, Wenji ;
Chen, Shanshan ;
Yu, Chen .
JOURNAL OF GEOGRAPHICAL SCIENCES, 2018, 28 (03) :306-322
[5]   The structural and spatial properties of the high-speed railway network in China: A complex network perspective [J].
Cao, Weiwei ;
Feng, Xiangnan ;
Zhang, Hong .
JOURNAL OF RAIL TRANSPORT PLANNING & MANAGEMENT, 2019, 9 :46-56
[6]   Analysis on shock effect of China's high-speed railway on aviation transport [J].
Chai, Jian ;
Zhou, Youhong ;
Zhou, Xiaoyang ;
Wang, Shouyang ;
Zhang, Zhe George ;
Liu, Zenghui .
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE, 2018, 108 :35-44
[7]   A scaling approach to evaluating the distance exponent of the urban gravity model [J].
Chen, Yanguang ;
Huang, Linshan .
CHAOS SOLITONS & FRACTALS, 2018, 109 :303-313
[8]   High Speed Rail: Implications for carbon emissions and biodiversity [J].
Cornet, Yannick ;
Dudley, Geoffrey ;
Banister, David .
CASE STUDIES ON TRANSPORT POLICY, 2018, 6 (03) :376-390
[9]   Solar energy technologies and open innovation: A study based on bibliometric and social network analysis [J].
de Paulo, Alex Fabianne ;
Porto, Geciane Silveira .
ENERGY POLICY, 2017, 108 :228-238
[10]   Shrinking cities in growing China: Did high speed rail further aggravate urban shrinkage? [J].
Deng, Taotao ;
Wang, Dandan ;
Yang, Yang ;
Yang, Huan .
CITIES, 2019, 86 :210-219