English  |  正體中文  |  简体中文  |  Items with full text/Total items : 85418/114080 (75%)
Visitors : 22773822      Online Users : 428
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
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    政大機構典藏 > 政大學報 > 第83期 > 期刊論文 >  Item 140.119/102343
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/102343

    Title: 空間交互模型與普瑞夫定理
    Other Titles: Zipf's Law and the Spatial Interaction Models
    Authors: 陳心蘋
    Chen, Hsin-Ping
    Contributors: 經濟系
    Keywords: 普瑞夫定理;最大熵;城市分配
    Date: 2001-12
    Issue Date: 2016-09-29 17:01:07 (UTC+8)
    Abstract: 本文的主要目的是以模擬方式分析最大熵概念為基礎所推導的都市交互與成長過程,是否會衍化出趨近普瑞夫定理(Zipf's Law)的城市分配。模擬結果顯示:(一)動態交互模型在不同的參數值下可產生穩定或不穩定的成長型式。(二)在穩定的衍化過程中,本文的模型可產生決定性的與隨機的成長過程。(三)決定性的與隨機的成長型式都會趨近於普瑞夫定理的分配型態。
    It is well known that the size distribution of cities is surprisingly well described by Zipf's law. It is considered the criterion for the local growth model. The purpose of this paper is to explain Zipf's law through the use of a dynamic process based on a spatial interaction model derived from entropy. Empirical findings show that: (1) the purposed dynamic process can generate both stable and unstable patterns in accordance with the value of the parameters, (2) in the stable evolution, the model can generate both deterministic and stochastic growth processes, (3) both deterministic and stochastic growth processes converge in Zipf's pattern, and (4) evidence from cities in Taiwan shows a diminishing estimated intercept and slope as the proposed model predicted. Size distribution in Taiwan converges to Zipf's pattern.
    Relation: 國立政治大學學報, 83, 125-156
    Data Type: article
    Appears in Collections:[第83期] 期刊論文

    Files in This Item:

    File Description SizeFormat
    fb160923121324.pdf1626KbAdobe PDF315View/Open

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

    社群 sharing

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback