Decision-Making for the Optimal Strategy of Population Agglomeration in Urban Planning with Path-Converged Design

Bing Xu, Junzo Watada

    Research output: Chapter in Book/Report/Conference proceedingChapter

    Abstract

    The chapter aims first to identify existing population agglomeration and its efficiency, and second to simulate decision-making for the optimal migration strategy in urban planning to eliminate inefficiency among cities in China. First, identification based on path-converged design reveals inefficiency in existing population agglomeration in China because the population mostly agglomerates to cities with urbanization levels lower than 0.35 and the population gathers into areas with urbanization levels lower than the average level in large, medium and small cities from both regional and urban perspectives. Second, decision-making for regional population migration performs well in eliminating inefficiency. By emigrating about 14, 10, and 14 percents of the regional population from cities at low urbanization levels to cities at higher urbanization levels, inefficiency strengths between benchmark and regional population distributions shrink to 0.058, 0.041, and 0.056 from 0.1464, 0.0985, 0.1397 for small, medium, and large cities, respectively.

    Original languageEnglish
    Title of host publicationIntelligent Systems Reference Library
    Pages397-425
    Number of pages29
    Volume4
    DOIs
    Publication statusPublished - 2010

    Publication series

    NameIntelligent Systems Reference Library
    Volume4
    ISSN (Print)18684394
    ISSN (Electronic)18684408

    Fingerprint

    Urban planning
    urban planning
    agglomeration area
    Agglomeration
    Decision making
    Population distribution
    decision making
    urbanization
    population migration
    China
    large city
    Optimal strategy
    migration
    efficiency
    Urbanization
    Inefficiency

    Keywords

    • Inefficiency
    • Path identification
    • Population agglomeration
    • Urbanization level

    ASJC Scopus subject areas

    • Computer Science(all)
    • Information Systems and Management
    • Library and Information Sciences

    Cite this

    Xu, B., & Watada, J. (2010). Decision-Making for the Optimal Strategy of Population Agglomeration in Urban Planning with Path-Converged Design. In Intelligent Systems Reference Library (Vol. 4, pp. 397-425). (Intelligent Systems Reference Library; Vol. 4). https://doi.org/10.1007/978-3-642-13639-9_16

    Decision-Making for the Optimal Strategy of Population Agglomeration in Urban Planning with Path-Converged Design. / Xu, Bing; Watada, Junzo.

    Intelligent Systems Reference Library. Vol. 4 2010. p. 397-425 (Intelligent Systems Reference Library; Vol. 4).

    Research output: Chapter in Book/Report/Conference proceedingChapter

    Xu, B & Watada, J 2010, Decision-Making for the Optimal Strategy of Population Agglomeration in Urban Planning with Path-Converged Design. in Intelligent Systems Reference Library. vol. 4, Intelligent Systems Reference Library, vol. 4, pp. 397-425. https://doi.org/10.1007/978-3-642-13639-9_16
    Xu B, Watada J. Decision-Making for the Optimal Strategy of Population Agglomeration in Urban Planning with Path-Converged Design. In Intelligent Systems Reference Library. Vol. 4. 2010. p. 397-425. (Intelligent Systems Reference Library). https://doi.org/10.1007/978-3-642-13639-9_16
    Xu, Bing ; Watada, Junzo. / Decision-Making for the Optimal Strategy of Population Agglomeration in Urban Planning with Path-Converged Design. Intelligent Systems Reference Library. Vol. 4 2010. pp. 397-425 (Intelligent Systems Reference Library).
    @inbook{58f58bcad3d04b41a472bed392c03dca,
    title = "Decision-Making for the Optimal Strategy of Population Agglomeration in Urban Planning with Path-Converged Design",
    abstract = "The chapter aims first to identify existing population agglomeration and its efficiency, and second to simulate decision-making for the optimal migration strategy in urban planning to eliminate inefficiency among cities in China. First, identification based on path-converged design reveals inefficiency in existing population agglomeration in China because the population mostly agglomerates to cities with urbanization levels lower than 0.35 and the population gathers into areas with urbanization levels lower than the average level in large, medium and small cities from both regional and urban perspectives. Second, decision-making for regional population migration performs well in eliminating inefficiency. By emigrating about 14, 10, and 14 percents of the regional population from cities at low urbanization levels to cities at higher urbanization levels, inefficiency strengths between benchmark and regional population distributions shrink to 0.058, 0.041, and 0.056 from 0.1464, 0.0985, 0.1397 for small, medium, and large cities, respectively.",
    keywords = "Inefficiency, Path identification, Population agglomeration, Urbanization level",
    author = "Bing Xu and Junzo Watada",
    year = "2010",
    doi = "10.1007/978-3-642-13639-9_16",
    language = "English",
    isbn = "9783642136382",
    volume = "4",
    series = "Intelligent Systems Reference Library",
    pages = "397--425",
    booktitle = "Intelligent Systems Reference Library",

    }

    TY - CHAP

    T1 - Decision-Making for the Optimal Strategy of Population Agglomeration in Urban Planning with Path-Converged Design

    AU - Xu, Bing

    AU - Watada, Junzo

    PY - 2010

    Y1 - 2010

    N2 - The chapter aims first to identify existing population agglomeration and its efficiency, and second to simulate decision-making for the optimal migration strategy in urban planning to eliminate inefficiency among cities in China. First, identification based on path-converged design reveals inefficiency in existing population agglomeration in China because the population mostly agglomerates to cities with urbanization levels lower than 0.35 and the population gathers into areas with urbanization levels lower than the average level in large, medium and small cities from both regional and urban perspectives. Second, decision-making for regional population migration performs well in eliminating inefficiency. By emigrating about 14, 10, and 14 percents of the regional population from cities at low urbanization levels to cities at higher urbanization levels, inefficiency strengths between benchmark and regional population distributions shrink to 0.058, 0.041, and 0.056 from 0.1464, 0.0985, 0.1397 for small, medium, and large cities, respectively.

    AB - The chapter aims first to identify existing population agglomeration and its efficiency, and second to simulate decision-making for the optimal migration strategy in urban planning to eliminate inefficiency among cities in China. First, identification based on path-converged design reveals inefficiency in existing population agglomeration in China because the population mostly agglomerates to cities with urbanization levels lower than 0.35 and the population gathers into areas with urbanization levels lower than the average level in large, medium and small cities from both regional and urban perspectives. Second, decision-making for regional population migration performs well in eliminating inefficiency. By emigrating about 14, 10, and 14 percents of the regional population from cities at low urbanization levels to cities at higher urbanization levels, inefficiency strengths between benchmark and regional population distributions shrink to 0.058, 0.041, and 0.056 from 0.1464, 0.0985, 0.1397 for small, medium, and large cities, respectively.

    KW - Inefficiency

    KW - Path identification

    KW - Population agglomeration

    KW - Urbanization level

    UR - http://www.scopus.com/inward/record.url?scp=84885397283&partnerID=8YFLogxK

    UR - http://www.scopus.com/inward/citedby.url?scp=84885397283&partnerID=8YFLogxK

    U2 - 10.1007/978-3-642-13639-9_16

    DO - 10.1007/978-3-642-13639-9_16

    M3 - Chapter

    SN - 9783642136382

    VL - 4

    T3 - Intelligent Systems Reference Library

    SP - 397

    EP - 425

    BT - Intelligent Systems Reference Library

    ER -