Research on the City Network of Guangdong, Hongkong and Macao from the Perspective of Information Flow: Analysis based on Baidu Index

Authors

  • Qixuan Wang Master Student, Department of Urban Planning, Tongji University
  • Min Zhao Department of Urban Planning, Tongji University Rm 606, Bldg C, College of Architecture and Urban Planning, Tongji University. No. 1239 Si Ping Rd, Yangpu District, Shanghai

DOI:

https://doi.org/10.5614/jrcp.2018.29.3.6

Keywords:

City network, area of Guangdong-Hongkong-Macau, information flow, Baidu Index

Abstract

In the context of the rapid development of informatization and globalization, the theoretical methods of urban scholars have shifted from a 'space of places' appraoch, which looks at geographical areas, to a 'space of flows' approach, which is based on flows of people, goods, capital, and information between cities. The rapid development of the Internet makes the connections between cities more dynamic than ever before. The subject of this study are cities in three provincial administrative units in Southern China: Guangdong, Hong Kong and Macao. The development of the Internet provides an opportunity to analyse the relationships between the cities in this region from the viewpoint of information flow. Using the area distribution model in Baidu Index (a website of the Baidu company), this study recorded the web search volume, simulated the information flows, and analysed the network correlation degrees between the cities in Guangdong, Hong Kong and Macau. The conclusions are: (1) from the perspective of information flow, the city network in Guangdong, Hong Kong and Macao has a clear 'core-periphery' structure, which amplifies the difference in urban hierarchy between big and small cities; (2) the cities in the traditional Pearl River Delta core region have a stronger ability to aggregate information flows and geographical proximity reflects information flow; (3) information flows between the cities in Guangdong and Hong Kong and Macao are not smooth, and thus needs to be improved.

Keywords. City network; area of Guangdong-Hongkong-Macau; information flow; Baidu Index.

Abstrak. Dalam konteks perkembangan informatisasi dan globalisasi yang pesat, metode teoritis para peneliti perkotaan telah bergeser dari pendekatan 'ruang tempat' yang melihat wilayah geografis, ke pendekatan 'ruang arus' yang didasarkan pada arus manusia, barang, kapital, dan informasi antar kota. Pesatnya perkembangan internet membuat hubungan antar kota lebih dinamis dari sebelumnya. Subyek penelitian ini adalah kota-kota di tiga unit administrasi provinsi di Cina Selatan: Guangdong, Hong Kong, dan Macao. Perkembangan Internet memberi kesempatan untuk menganalisis hubungan antara kota-kota di wilayah ini dari sudut pandang arus informasi. Dengan menggunakan model distribusi area pada indeks Baidu (sebuah situs perusahaan Baidu), makalah ini mencatat jumlah pencarian web, mensimulasikan arus informasi, dan menganalisis tingkat korelasi jaringan di antara kota-kota di Guangdong, Hong Kong dan Macau. Kesimpulannya adalah: (1) Dari perspektif arus informasi, jaringan kota di Guangdong, Hong Kong dan Macao memiliki struktur 'inti-pinggiran' yang jelas, yang memperkuat perbedaan dalam struktur hirarki perkotaan antara kota-kota besar dan kecil; (2) Kota-kota di wilayah inti Pearl River Delta tradisional memiliki kemampuan yang lebih kuat untuk mengumpulkan arus informasi dan kedekatan geografis juga mencerminkan arus informasi; (3) Arus informasi antara kota-kota Guangdong dan Hong Kong dan Macao tidak lancar, sehingga perlu ditingkatkan.

Kata Kunci. Jaringan kota; wilayah Guangdong-Hongkong-Macau; arus informasi; Indeks Baidu.

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References

Shouhua, L., Y. Yongtao, L. Guannan, P. Xiaomei, and L. Yazhou (2015) A Review, Evaluation and Reflection of the Pearl River Delta Regional Plan. Urban Planning Forum 4.

Xueguang M., and L. Guicai (2012) Progress and Application Practice in Western City Network Studies. Urban Planning International 27, 65-70.

Castells, M. (1996) The Rise of the Network Society, Blackwell Publishing Ltd.

Castells, M. (2010) Globalisation, Networking, Urbanisation: Reflections on the Spatial Dynamics of the Information Age. Urban Studies 47(13), 2737-2745.

Taylor, P.J., G. Catalano, and D.R.F. Walker (2002) Measurement of the World City Network. Urban Studies 39(13), 2367-2376.

Wei, Y., C. Xiu, Z. Liu, et al (2016) Spatial Pattern of City Network in Transitional China Based on the Population Flows in "Chunyun' Period. Scientia Geographica Sinica 36(11), 1654-1660.

Kai, Y., and N. Xinyi (2016) Practical Analysis of Mobile Phone Signaling Data in Urban System Planning:A Case Study of Nanchang Metropolis. Shanghai Urban Planning Review 4, 91-97.

Burns, M.C., J.R. Cladera, and M.M. Bergad (2008) The Spatial Implications of The Functional Proximity Deriving from Air Passenger Flows between European Metropolitan Urban Regions. Geojournal 71(1), 37-52.

Shin, K.H. and M. Timberlake (2000) World Cities in Asia: Cliques, Centrality and Connectedness. Urban Studies 37(12), 2257-2285.

Qi, D., and Z. Feng (2013) The Study on Spatial Structure Charactristics of China's City Network Based on the Logistics Enerprise Network. Human Geography 4, 71-76.

Miaoxi, Z., and T. Zilai (2010) A Network-Based Measurement for Urban Hinterland Area in Yangtze River Delta. Economic Geography 30, 371-376.

Yao, C., Z. Yishuai, and Z. Min (2016) The Spatial Self-Organization and Planning Agendas of the Yangtze River Delta's City Cluster: Spatial Analysis based on Enterprise Connectivity. Urban Planning Forum 4, 22-29.

Zilai, T., and Z. Miaoxi (2010) Economic Globalization and Transformation of Urban System in The Yangtze River Delta Region: Interlocking Network and Value-Added Hierarchy. Urban Planning Forum 1, 29-34.

Miaoxi, Z., and L. Zheng (2012) Research On Chinas's City Network Based on Production Service Industry. City Planning Review 9, 23-28.

Ziwei, C., L. Zhendong, X. Wenwen, and G. Lei (2016) Research on Inter City Relationship Network Based on Information Flow: Taking Shandong as An Example. Paper presented at 2016 Annual National Planning Conference of China, China.

Feng, Z., W. Bo, and C. Yingxue (2012) China's City Network Characteristics Based on Social Network Space: An Empirical Analysis of Sina Micro-blog. Acta Geographica Sinica 67, 1031-1043.

Lifang, X., Z. Feng, X. Guangliang, Z. Xiaoqing, and W. Bo (2014) Characteristics of the City Network in the Three Major Economic Zones of China: A Study Based on Baidu Information Flow. Tropical Geography 34(1), 34-43.

Qiang, Y., Z. Lixuan, P. Peng, and H. Junlin (2017) The Network Characteristics of Urban Agglomerations in the Middle Reaches of the Yangtze River Based on Baidu Migration Data. Economic Geography 37(8), 53-59.

Tao, L., and Z. Rui (2016) Urban hinterworld in Yangtze River Delta:Empirical comparison of two network-based methods. Acta Geographica Sinica 71(2), 236-250.

Taylor, P. (2001) Urban Hinterworlds: Geographies of Corporate Service Provision Under Conditions of Contemporary Globalisation. Geography 86(1), 51-60.

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Published

2018-11-30

How to Cite

Wang, Q., & Zhao, M. (2018). Research on the City Network of Guangdong, Hongkong and Macao from the Perspective of Information Flow: Analysis based on Baidu Index. Journal of Regional and City Planning, 29(3), 281-293. https://doi.org/10.5614/jrcp.2018.29.3.6

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Section

Research Articles