English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  Items with full text/Total items : 113303/144284 (79%)
Visitors : 50794005      Online Users : 267
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
    •  Adv. Search
    Home ‧ Login ‧ Upload ‧ Help ‧ About ‧ Administer Goto mobile version


    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/100345


    Title: 人口時空分布冪次定律的普遍性與恆常性－台灣本島實證研究
    Other Titles: Invariability and Universality of the Power Law of Population Distribution in Time and Space: A Case Study of the Taiwan Island
    Authors: 薛明生;賴世剛
    Hsueh, Min-Shen;Lai, Shin-Kung
    Keywords: 冪次定律;都市排序及規模法則;自我組織;Zipf法則
    power law;City Rank-Size Rule;self-organization;Zipf`s Law
    Date: 2002-11
    Issue Date: 2016-08-16 21:55:23 (UTC+8)
    Abstract: 本文主在探討人口在時空分布下的自我組織特性，借重本島人口區域分布之時間及空間二因子變異數分析，以發現冪次定律是否受到該二因子之影響，亦即檢驗冪次定律的普遍性與恆常性。由於冪次定律代表都市層級與人口聚散的關係，因此就本研究之人口時空分布資料經都市排序與規模法則（City Rank-Size Rule）或Zipf`s Law，檢證人口聚散差異性與冪次定律顯著性二者在時間與空間的變化。為瞭解人口差異迴歸係數與冪次定律顯著性之解釋性關係，並進行更進一階的相關分析。從本研究中發現冪次定律的存在不受時間與空間之限制，亦即其具有普遍性及恆常性，且在人口聚散差異大的地區具高強度。同時發現高速公路興建之公共政策對於人口分布冪次係數具有影響。
    The paper investigates the characteristics of self-organization of population distributions across time and space. Based on two-way ANOVA analyses for regional population distributions on the Taiwan Island across time and space, we intend to discover whether the power law of the distribution structure is affected by the two factors, that is the research is grounded on the hypothesis that the power law of population distribution is both invariable and universal across time and space. Because the power law represents the relation between the formation of urban hierarchies and the level of population aggregations, drawing on the population distribution data of the Island in time and space we examine the evolutionary pattern of and relation between population aggregation trends and levels of significance of the power law through the city rank-size rule or Zipf`s Law. In order to understand the explanatory relation between population distribution variations in terms of the coefficient of regression and levels of significance of the power law, a simple regression analysis is further conducted. The resulting evidence shows that the power law not only exists, but also persists in time and space; therefore our hypothesis is confirmed that it is both invariable and universal across time and space. The power law relation of population distributions is more evident in areas where population aggregations are more diverse. Public policies, such as highway constructions, have impact on the characteristics of the power law distribution of populations.
    Relation: 臺灣土地研究, 5, 67-86
    Journal of Taiwan land research
    Data Type: article
    Appears in Collections:[臺灣土地研究 TSSCI] 期刊論文

    Files in This Item:

    File Description SizeFormat
    5-67-86.pdf746KbAdobe PDF2589View/Open


    All items in 政大典藏 are protected by copyright, with all rights reserved.


    社群 sharing

    著作權政策宣告 Copyright Announcement
    1.本網站之數位內容為國立政治大學所收錄之機構典藏，無償提供學術研究與公眾教育等公益性使用，惟仍請適度，合理使用本網站之內容，以尊重著作權人之權益。商業上之利用，則請先取得著作權人之授權。
    The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

    2.本網站之製作，已盡力防止侵害著作權人之權益，如仍發現本網站之數位內容有侵害著作權人權益情事者，請權利人通知本網站維護人員(nccur@nccu.edu.tw)，維護人員將立即採取移除該數位著作等補救措施。
    NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback