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    Title: 比較不同人口點位對潛在醫療可及性的影響
    Comparing potential accessibility to healthcare facilities under different representations of population
    Authors: 陳逸
    Chen, I
    Contributors: 林士淵
    范噶色

    Lin, Shih-Yuan
    Stephan van Gasselt

    陳逸
    Chen, I
    Keywords: 地理可及性
    聚合誤差
    可調整區域單元問題
    Accessibility
    Aggregation error
    Modifiable areal unit problem
    Date: 2023
    Issue Date: 2023-09-01 15:14:49 (UTC+8)
    Abstract: 潛在空間可及性是評估資源分配和判別資源缺乏區域常用的概念之一,根據 過往文獻與研究,目前至少有八種方法和指標可以用來量化與計算可及性,然而, 由於資料可得性和隱私權問題,大多數過往的研究與政府報告所計算的可及性是 基於區域的可及性,而不是基於個人的可及性,基於區域所計算的可及性會有以 下兩個問題:可調整區域單元問題以及聚合錯誤,前者表示選擇不同尺度與劃分 的區域單元會產生不同的分析結果,後者表示用單一點位來表示一個區域單元內 人口的空間分布,若計算基於區域的可及性時,沒有考慮到上述問題,某些區域 的可及性將會被低估或高估,造成錯誤的判斷與解讀。
    隨著更精細的空間單元與其他資料的開放與提供,目前已經可以精確定位出 人口真正居住的位置,並且計算基於個人的可及性,從而減少甚至消除可調整區 域單元問題和聚合誤差的影響,因此,本研究嘗試使用國土利用現況調查地圖, 篩選出居住區來代表人口真實分佈的位置,計算基於個體的可及性,並比較基於 區域以及基於個人的可及性,評估聚合誤差的大小和數量。
    研究結果顯示,即使使用最精細的空間單元,也就是最小統計區,仍然有些 地方出現顯著且極大的聚合誤差,且該誤差的空間分佈不一定聚集於某些特定區 域,因此建議未來研究若要以潛在空間可及性的概念來評估資源配置時,在資料 可得性允許的情況下,計算基於個人的可及性,以消除可調整區域單元問題和聚 合誤差,獲得最精確的可及性。
    Spatial potential accessibility measurement is one of the commonly used concepts to assess the resource allocation and identify the areas with insufficient resource. There are at least eight quantitative approaches and indicators to calculate accessibility. However, due to data availability and privacy issues, most previous studies and government reports calculated zone-based accessibility instead of individual-based accessibility. The will cause two problems: modifiable areal unit and aggregation error. The former means the arbitrary selection and delineation of areal unit will produce different analysis results. The latter means using a single point to represent spatially distributed population within an areal unit. If fail to take these two problems into consideration, one may misinterpret and misestimate the accessibility values.
    With the advent of finer areal unit and ancillary data become available, it is possible to pinpoint the areas that population truly reside and calculate individual-based accessibility values, then reduce and eliminate the impact of modifiable areal unit problem and aggregation error. Thus, this dissertation tries to use land use survey map to extract the residential area to represent the places that the population truly distributed and calculate individual-based accessibility values. Compare such values with zone- based accessibility values to evaluate the magnitude and quantity of aggregation error.
    The result shows that even use the finest areal unit, there are still some places suffer significant and extremely large aggregation error and the spatial distribution of aggregation error is not necessarily located in some specific areas. Therefore, if possible, it is recommended to calculated individual-based accessibility values to eliminate the modifiable areal unit problem and aggregation error.
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    Description: 碩士
    國立政治大學
    地政學系
    110257006
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0110257006
    Data Type: thesis
    Appears in Collections:[地政學系] 學位論文

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