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中國城市宜居指數(排名分析模擬及政策評估)(英文版)

  • 作者:陳企業|責編:應韶荃
  • 出版社:上海社科院
  • ISBN:9787552031836
  • 出版日期:2020/07/01
  • 裝幀:平裝
  • 頁數:192
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內容大鋼
    城市宜居性是當前公共政策研究領域一個極具重要性與綜合性的主題。其重要性在於與人們的生活質量息息相關;其綜合性在於宜居性概念的維度之多之廣,衡量一個城市的宜居性需要對經濟、政治、文化等多個領域進行考量,否則難以得出符合常識的結論。本書擬定了整體全面的中國宜居城市指數研究框架,將客觀公開數據與主觀調研數據相結合,對中國城市(含港澳台)的宜居性進行了一次全面準確的描繪,進行了中國100個城市宜居性的總體及分主題的排名,檢索了各城市在宜居性上不足的指標,並通過「假設」模擬的靜態分析方法提供了有針對性的政策建議。此外,還著重分析了世界主要城市的交通宜居性。研究結果揭示並強調了宜居性與城市管理、基礎設施和公共安全之間的紐帶關係。這些結果能給中國的宜居城市建設提供有力的參考。

作者介紹
陳企業|責編:應韶荃

目錄
Foreword
Preface
Acknowledgements
About the Authors
List of Abbreviations
List of Figures and Tables
Chapter 1  Introduction
  1.1  Urbanisation in China and Its Challenges
  1.2  Literature Review
  1.3  Outline of the Book
  Reference
Chapter 2  Research Methodology
  2.1  Conceptualising the Liveability Framework for Cities
  2.2  Constructing the Liveability Framework for Cities
    2.2.1  Economic Vibrancy and Competitiveness
    2.2.2  Environmental Friendliness and Sustainability
    2.2.3  Domestic Security and Stability
    2.2.4  Socio-Cultural Conditions
    2.2.5  City Governance
  2.3  Selection of Indicators: Ideal versus Practical
  2.4  Selection of Cities
  2.5  Data Sources, Constraints, and Proxies
  2.6  Algorithm for the Computation of Rankings
    2.6.1  Equal Weight
    2.6.2  Shapley Value
    2.6.3  Shapley Weight -- The "Bottom-Up" Approach
  2.7  Comparison between the Shapley Weight Method and the Entropy Weight Method
  2.8  Beauty Contest versus What-if Simulations and Its Shortcomings
  Reference
Chapter 3  Empirical Findings and What-if Simulation
  3.1  The Difference between Shapley Weights and Equal Weights
  3.2  2019 China Liveable Cities Index Rankings
  3.3  What-if Simulation Results and Policy Implications
Chapter 4  Further Analysis on Patterns of Liveability in Cities
  4.1  Two Simulation Studies on Factors Affecting Liveability
    4.1.1  What-if Simulation on Domestic Security
    4.1.2  What-if Simulation on Infrastructure and Transportation
  4.2  The Liveability Ranking based on People's Perceptions
    4.2.1  Ranking Algorithm
    4.2.2  Descriptive Statistics of Survey Data
    4.2.3  Perception-Based China Liveable Cities Rankings
    4.2.4  Evolution and Comparative Analysis of Liveability
  Perceptions: 2019 vs 2014
  Reference
Chapter 5  Transport as a Liveability Factor in Global Cities A Comparative Study of Experiences in New York London, Tokyo Singapore, Hong Kong, and Shanghai
  5.1  Development of Transport Networks in New York, London, Tokyo Singapore, Hong Kong, and Shanghai: A Comparative Analysis of Statuses and Gaps
    5.1.1  State of the Arts
    5.1.2  Difficulties and Challenges
  5.2  Experiences in New York, London, Tokyo, Singapore, Hong Kong and Shanghai: Facilitating Liveability by Improving the Quality of Transport Network
    5.2.1  Further Developing Public Transport and Building a Modem Urban Transport Network

    5.2.2  Establishing an Intelligent Transport Management System
    5.2.3  Formulating Appropriate Regulatory and Economic Policies
  5.3  Transport as a Liveability Factor in Global Cities: Lessons and Implications
    5.3.1  Synchronise Rational Urban Planning with Urban Development
    5.3.2  Develop a Public Transport-Centric Modern Transport Network that Fits the Urban Development Pattern
    5.3.3  Establish an Intelligent Transport System that Coordinates with the Development of a Liveable City
    5.3.4  Promote Green Commutes that Fit the Pattern of Urban Sustainable Development
  5.4  Concluding Remarks: The Making of a Comprehensively Liveable City from the Perspective of Ordinary Residents
  Reference
Discussant Notes
  Discussant Notes 1  Comments on "2019 ACI - SASS China Liveable Cities
  Index: Ranking and Simulation Analysis
  Discussant Notes 2  Comments on "2019 ACI - SASS China Liveable Cities
  Index: Ranking and Simulation Analysis
  Discussant Notes 3  Comments on "2019 ACI - SASS China Liveable Cities
  Index: Ranking and Simulation Analysis
Appendices
  Appendix A  Algorithm for the Computation of Rankings
  Appendix B  Top and Bottom 20% Indicators for Each of China's First-Tier Cities (Beijing, Shanghai, Guangzhou and Shenzhen)

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