本文選題：周-布方法 + SOFM網(wǎng)絡(luò)方法��； 參考：《寧波大學(xué)》2014年碩士論文

【摘要】：本文選擇1990年、2000年、2010年三個年份的地級以上城市為研究對象；確定工業(yè)、建筑業(yè)等9個行業(yè)指標和“市轄區(qū)年末總?cè)丝凇?個規(guī)模指標；研究中國20多年來的城市職能演化。研究內(nèi)容主要分為以下三部分： 一、最具影響力的周-布方法與SOFM網(wǎng)絡(luò)方法比較研究，發(fā)現(xiàn)①周-布方法計算速率快，分類結(jié)果穩(wěn)定，分類類別數(shù)較易確定，但是較主觀，權(quán)重設(shè)置對分類結(jié)果產(chǎn)生了很大影響；②SOFM網(wǎng)絡(luò)方法較客觀，分類結(jié)果更為合理，城市職能類型較明顯，但是分類類別數(shù)無法確定，分類結(jié)果的穩(wěn)定性較差。本文從客觀和分類效果好的角度出發(fā)，選擇SOFM網(wǎng)絡(luò)方法為分類方法，并通過多次分類，改進SOFM網(wǎng)絡(luò)方法的不足。 二、中國城市職能結(jié)構(gòu)演化研究：研究全國、不同城市規(guī)模、東中西部、三大城市群（京津冀、長三角、珠三角）的職能結(jié)構(gòu)演化趨勢；研究各行業(yè)部門在各層次間的演化趨勢。可知，①三大城市群間職能結(jié)構(gòu)變動差異較大，京津冀最大，長三角最小。②金融保險業(yè)發(fā)展速度最快，就業(yè)比重增長率最大；工業(yè)、商業(yè)（除珠三角地區(qū)外）的就業(yè)比重均下降，但工業(yè)的就業(yè)比重仍最大；教文衛(wèi)體和社會福利業(yè)、房地產(chǎn)和社會服務(wù)業(yè)發(fā)展較迅速，就業(yè)比重為第二或第三；建筑業(yè)就業(yè)比重增減變化較活躍，在特大城市、大城市，中西部地區(qū)，長三角地區(qū)占重要地位，就業(yè)比重占第三；公共管理業(yè)等在中、小城市中發(fā)展最快，就業(yè)比重占第三。 三、中國城市職能類型演化研究。中國城市職能分成3大類，9亞類，其中1990年、2000年、2010年依次分為14、14、12個職能組。借助納爾遜指數(shù)，首先從職能規(guī)模和職能強度，分析三大類城市的演化特征；其次對各職能組進行命名，分析城市職能類型的演化特征和規(guī)律�？芍�，①中國的城市規(guī)模增加，職能強度增強，城市的綜合性增強；②全國或大區(qū)級的綜合性城市職能多樣性增強。③石家莊、杭州等城市由第二產(chǎn)業(yè)向第三產(chǎn)業(yè)主導(dǎo)職能發(fā)展。④以工業(yè)為主的大型綜合性城市和中等工業(yè)城市向綜合性城市發(fā)展。總之，中國城市職能結(jié)構(gòu)更加優(yōu)化，城市經(jīng)濟發(fā)展有了質(zhì)的飛躍。
[Abstract]:This paper chooses the cities above the prefectural level in the years of 1990, 2000 and 2010 as the research objects, determines nine industry indexes, such as industry and construction industry, and "the total population at the end of the year", and studies the evolution of urban functions in China over the past 20 years.The research content is divided into the following three parts:The main results are as follows: 1. The most influential method is compared with the SOFM network method. It is found that the calculation rate of the one-cycle distribution method is fast, the classification results are stable, the number of classification categories is easy to determine, but the number of classification categories is more subjective.The weight setting has a great influence on the classification result, the classification result is more reasonable, the function type of city is obvious, but the number of classification categories can not be determined, and the stability of classification result is poor.From the point of view of objectivity and good classification effect, this paper selects the SOFM network method as the classification method, and improves the deficiency of the SOFM network method by several classification methods.Second, the study on the evolution of urban functional structure in China: to study the evolution trend of functional structure of three urban agglomerations (Beijing-Tianjin-Hebei, Yangtze River Delta, Pearl River Delta) in the whole country, different urban scale, east, west and west;To study the evolution trend of various sectors at different levels.It can be seen that the functional structure of the three urban agglomerations varies greatly, the Beijing-Tianjin-Hebei is the largest, the Yangtze River Delta smallest .2 the fastest development rate of the financial and insurance industry, the largest growth rate of employment; industry,The proportion of employment in commerce (except Pearl River Delta) is decreasing, but the proportion of industry is still the largest, the education, culture and social welfare industry, real estate and social service industry are developing rapidly, the proportion of employment is the second or third.The increase and decrease of the proportion of employment in the construction industry is more active, in the megacities, big cities, central and western regions, the Yangtze River Delta region occupies an important position, the proportion of employment occupies the third place; the public administration industry in the middle, small cities, the proportion of employment occupies the third place.Third, the evolution of urban function types in China.Urban functions in China are divided into 3 groups and 9 subgroups, among which, in 1990, 2000 and 2010, they are divided into 14 groups and 12 functional groups respectively.With the help of Nelson index, the evolution characteristics of the three major cities are analyzed from the scale and intensity of functions, and the evolution characteristics and laws of urban function types are analyzed by naming each functional group.It can be seen that the scale of cities in China has increased, the intensity of their functions has been strengthened, and the comprehensive functions of cities in China have increased. 3. Shijiazhuang has increased the functional diversity of comprehensive cities at the national or regional level.Hangzhou and other cities develop from the secondary industry to the leading function of the tertiary industry.In short, China's urban function structure is more optimized, urban economic development has made a qualitative leap.
【學(xué)位授予單位】：寧波大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：F299.2

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本文編號：1764918