●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
2.3 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
2.7 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
4.2 The Liveability Ranking based on People’s Perceptions
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
5.2 Experiences in New York, London, Tokyo, Singapore, Hong Kong, and Shanghai: Facilitating Liveability by Improving the Quality of Transport Network
5.3 Transport as a Liveability Factor in Global Cities: Lessons and Implications
5.4 Concluding Remarks: The Making of a Comprehensively Liveable City from the Perspective of Ordinary Residents
Reference
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”
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)

中國的城市化進程正在上升，帶來了經濟活力，但也帶來了負面的外部影響。隨著決策者對負面影響（例如交通擁堵、污染和房價上漲）的關注，宜居性已成為比以往更加重要的話題。盡管許多中國城市的宜居性受到了挑戰，但隻要實行良好的治理並采取及時的政策，中國城市仍然可以蓬勃發展。
在亞洲競爭力研究所（ACI）和上海社會科學院（SASS）的共同努力下，中國城市宜居指數得到了進一步完善。ACI和SASS的這種改進旨在調整宜居性框架，以更好地反映中國經濟背景下的文化、經濟和政治特征。更重要的是，今年的研究包括一個案例研究，該案例研究了公共交通及其對宜居性的重要性。

陳企業 等 著