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The analysis and delimitation of Central Business District using network kernel density estimation

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  • Yu, Wenhao
  • Ai, Tinghua
  • Shao, Shiwei

Abstract

Central Business District (CBD) is the core area of urban planning and decision management. The cartographic definition and representation of CBD is of great significance in studying the urban development and its functions. In order to facilitate these processes, the Kernel Density Estimation (KDE) is a very efficient tool as it considers the decay impact of services and allows the enrichment of the information from a very simple input scatter plot to a smooth output density surface. However, most existing methods of density analysis consider geographic events in a homogeneous and isotropic space under Euclidean space representation. Considering the case that the physical movement in the urban environment is usually constrained by a street network, we propose a different method for the delimitation of CBD with network configurations. First, starting from the locations of central activities, a concentration index is presented to visualize the functional urban environment by means of a density surface, which is refined with network distances rather than Euclidean ones. Then considering the specialties of network distance computation problem, an efficient way supported by flow extension simulation is proposed. Taking Shenzhen and Guangzhou, two quite developed cities in China as two case studies, we demonstrate the easy implementation and practicability of our method in delineating CBD.

Suggested Citation

  • Yu, Wenhao & Ai, Tinghua & Shao, Shiwei, 2015. "The analysis and delimitation of Central Business District using network kernel density estimation," Journal of Transport Geography, Elsevier, vol. 45(C), pages 32-47.
  • Handle: RePEc:eee:jotrge:v:45:y:2015:i:c:p:32-47
    DOI: 10.1016/j.jtrangeo.2015.04.008
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    References listed on IDEAS

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    1. Steenberghen, Thérèse & Aerts, Koen & Thomas, Isabelle, 2010. "Spatial clustering of events on a network," Journal of Transport Geography, Elsevier, vol. 18(3), pages 411-418.
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    Cited by:

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    4. Zhensheng Wang & Ke Nie, 2019. "Measuring Spatial Patterns of Health Care Facilities and Their Relationships with Hypertension Inpatients in a Network-Constrained Urban System," IJERPH, MDPI, vol. 16(17), pages 1-22, September.
    5. Xiaoping Ge & Feng Zhu & Yongjun Yang & Gangjun Liu & Fu Chen, 2020. "Probing Influence Factors of Implementation Patterns for Sustainable Land Consolidation: Insights from Seventeen Years of Practice in Jiangsu Province, China," Sustainability, MDPI, vol. 12(9), pages 1-18, April.
    6. Wenhao Yu & Yujie Chen & Zhanlong Chen & Zelong Xia & Qi Zhou, 2020. "Service Area Delimitation of Fire Stations with Fire Risk Analysis: Implementation and Case Study," IJERPH, MDPI, vol. 17(6), pages 1-24, March.
    7. Shi, Yishao & Tao, Tianhui & Cao, Xiangyang & Pei, Xiaowen, 2021. "The association between spatial attributes and neighborhood characteristics based on Meituan take-out data: Evidence from shanghai business circles," Journal of Retailing and Consumer Services, Elsevier, vol. 58(C).
    8. Matthias Eckardt & Jorge Mateu, 2021. "Second-order and local characteristics of network intensity functions," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 30(2), pages 318-340, June.
    9. Michael Wurm & Jan Goebel & Gert G Wagner & Matthias Weigand & Stefan Dech & Hannes Taubenböck, 2021. "Inferring floor area ratio thresholds for the delineation of city centers based on cognitive perception," Environment and Planning B, , vol. 48(2), pages 265-279, February.
    10. Amjad Ali & Sher Muhammad Malik & Mushtaq Ahmad Jan, 2018. "Delimitation of the Central Business District Peshawar (Pakistan)," Global Social Sciences Review, Humanity Only, vol. 3(1), pages 193-213, March.
    11. Benedict E. DeDominicis, 2022. "The Failure Of The Twentieth Century European Perpetual Peace Project: The Social Construction Of The West Via Opposition To Russia," Global Journal of Business Research, The Institute for Business and Finance Research, vol. 16(1), pages 55-91.
    12. Yang Song & Kevin R. Gurney, 2020. "The Relationship between On-Road FFCO 2 Emissions and Socio-Economic/Urban Form Factors for Global Cities: Significance, Robustness and Implications," Sustainability, MDPI, vol. 12(15), pages 1-24, July.
    13. Wonjun Cho & Minho Kim & Hyunjung Kim & Youngsang Kwon, 2020. "Transforming Housing to Commercial Use: A Case Study on Commercial Gentrification in Yeon-nam District, Seoul," Sustainability, MDPI, vol. 12(10), pages 1-17, May.
    14. Cheng-Sheng Tung & Feng-Jyh Lin, 2022. "Critical Success Factors For Business District Operations In Taiwan," Global Journal of Business Research, The Institute for Business and Finance Research, vol. 16(1), pages 75-90.
    15. Hongtao Ma & Yuan Meng & Hanfa Xing & Cansong Li, 2019. "Investigating Road-Constrained Spatial Distributions and Semantic Attractiveness for Area of Interest," Sustainability, MDPI, vol. 11(17), pages 1-15, August.
    16. Yu Liu & Chen Zeng & Huatai Cui & Yanhua Song, 2018. "Sustainable Land Urbanization and Ecological Carrying Capacity: A Spatially Explicit Perspective," Sustainability, MDPI, vol. 10(9), pages 1-16, August.

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