Highlights The use of density analysis in urban study was presented. We analyzed and delimitated Central Business District by using network kernel density estimation. An efficient algorithm of network kernel density estimation was proposed by simulating flow extension phenomena. The effect of the proposed approach was explored.

    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.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

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


    Beteiligte:
    Yu, Wenhao (Autor:in) / Ai, Tinghua (Autor:in) / Shao, Shiwei (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    2015-04-23


    Format / Umfang :

    16 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Delimitation rail-route

    Online Contents | 1996


    Room delimitation element

    BURR REINHOLD / EMMERICH AXEL | Europäisches Patentamt | 2017

    Freier Zugriff

    Auto trips to central business district

    Dearinger, J.A. | Engineering Index Backfile | 1962


    Bus travel destination estimation method based on network kernel density

    CHENG SHAOWU / GAO YUE | Europäisches Patentamt | 2023

    Freier Zugriff