Comprehensive Analysis of Population-Economy-Space Urbanization in the county-level areas before and after Wenchuan earthquakeのソースを表示

'''学生名''':陈 雨

'''研究テーマ''':Comprehensive Analysis of Population-Economy-Space Urbanization in the county-level areas before and after Wenchuan earthquake

(汶川地震の前後における県の人口-経済-空間的な都市化の総合分析)

'''入学年月''':2019.04

'''修了年月''':2022.09

'''取得学位''':博士（工学）

論文概要:<br>
Urbanization, as one of the most important indicators to evaluate the development level of city, usually means huge migrant of population from rural area into the urban area, secondary and tertiary industry replace the primary industry as the major economic industry, large land transfer into built-up area. In other words, based on the connotation of population urbanization, economy urbanization, space urbanization, we could deepen the knowledge of urbanization by comprehensive analysis. In particular, a comprehensive analysis of urbanization development under the context of destructive earthquakes is more conducive to enriching our understanding of the objective rules of urbanization development under extreme circumstances. This study aims to explore the temporal distribution and difference of urbanization and its subsystems before and after the Wenchuan earthquake (Richter scale 8.0) in county scale. Based on the connotation of urbanization from dimension of population, economy, space, the assessment system of urbanization is proposed. Furthermore, coupling degree model and coupling coordination degree model are also proposed to evaluate interrelation between these three subsystems of urbanization and overall coordination of urbanization, respectively. In addition, the statistics analysis methods and triangle model are employed to test the stages difference and urbanization mode difference. The data of indicators are in the period from 2001 to 2017, which was collected from the authoritative China Statistical Yearbook. According to the time span, the whole time period is divided into three stages, pre-earthquake stage (2001 to 2007), reconstruction stage (2008 to 2010), post-earthquake stage (2011 to 2017). According to official report, these most severely affected counties of the Wenchuan earthquake, Wenchuan, Shfiang, Qingchuan, Pingwu, Pengzhou, Mianzhu, Maoxian, Dujiangyan, Beichuan, Anxian, are selected to show the empirical results.<br>
In Chapter 1, INTRODUCATION, the background and significance of the study are presented from followings: overview the world trend of urbanization development and natural disaster, review of previous studies, purpose and content structure.<br>
In Chapter 2, METHODOLOGIES, URBANIZATION ASSESSMENT SYSTEM, EVAULATION MODELS, data sources and statistics analysis methods are introduced. Moreover, comprehensive urbanization index system is proposed. In addition, coupling degree model, coupling and coordination degree model, and triangle model are all presented in this chapter.<br>
In Chapter 3, OVERVIEW OF SOCIAL ECONOMY DEVELOPMENT AND DISASTER BACKGROUND AND POLICIES, taking these most severely affected counties as the research object, social economy development before the Wenchuan earthquake are introduced. Disaster loss, such as direct economy loss, population loss, houses loss, land loss, and paired reconstruction policies are presented in this chapter.<br>
In Chapter 4-6, COMPREHENSIVE ANALYSIS OF URBANIZATION IN COUNTY LEVEL, population urbanization, economy urbanization, space urbanization, population-economy-space urbanization are firstly examined on temporal distribution characteristics and stage features. Furthermore, interrelationship degree between three subsystems, overall coordination of urbanization is also tested to show the relationship and quality of urbanization on time period features and stage characteristics. Moreover, to show difference before and after the Wenchuan earthquake, all these indexes are analyzed by T-test and paired T-test to show whether there is statistics difference between different periods and different stages. At last, urbanization-led mode variation are also evaluated. In addition, all these indexes are test both in county level and region level.<br>
In Chapter 7, major conclusion of each chapter has been summarized.