AbstractThe goal of this study is to develop a robust methodology for computing zone centrality measures in an urban area. Centrality refers to the relative importance of a zone in terms of network efficiency and utility for both transportation and urban study. Centrality indices that were developed to describe human relationships in the field of structural sociology were adopted. It is important to accommodate the neighborhood effect in dealing with centrality. The neighborhood effect describes the phenomenon whereby the attractiveness of a specific zone is affected by its neighbor zones. Kernel functions were employed to accommodate the neighborhood effect. The optimal bandwidth parameters were derived indirectly within the framework of trip attraction estimation under the assumption that the trip attraction of a zone is influenced by the integrated centrality, which includes the neighborhood effect. The well-known estimation tool of maximum likelihood estimation (MLE) was adopted to find the optimal bandwidth. As a byproduct of accommodating the neighborhood effect in centralities, a considerable advantage of the present study is an enhancement of the performance of trip attraction model. Another meaningful contribution of this study is a solution to the question of an acceptable delineation of the two city centers in Seoul. The boundaries of the two city centers were derived based on both the kernel function and its bandwidth.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Zonal centrality measures and the neighborhood effect


    Beteiligte:
    Sohn, Keemin (Autor:in) / Kim, Daehyun (Autor:in)


    Erscheinungsdatum :

    2010-07-04


    Format / Umfang :

    11 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Zonal centrality measures and the neighborhood effect

    Sohn, Keemin | Online Contents | 2010


    Sequence‐based centrality measures in maritime transportation networks

    Li, Jing / Wang, Xuantong / Zhang, Tong | Wiley | 2020

    Freier Zugriff

    Sequence-based centrality measures in maritime transportation networks

    Li, Jing / Wang, Xuantong / Zhang, Tong | IET | 2021

    Freier Zugriff

    Betweenness Centrality Measures as Potential Predictors of Crash Frequency

    Nair, Shilpa R. / Abhiram, Manoj K. V. / Bhavathrathan, B. K. | Springer Verlag | 2024