Assessing urbanization quality using structure and function analyses: A case study of the urban agglomeration around Hangzhou Bay (UAHB), China

被引:107
作者
Zhou, De [1 ]
Xu, Jianchun [1 ]
Wang, Li [1 ]
Lin, Zhulu [2 ]
机构
[1] Zhejiang Gongshang Univ, Dept Land Resources Management, Hangzhou 310018, Zhejiang, Peoples R China
[2] N Dakota State Univ, NDSU Dept 7620, Dept Agr & Biosyst Engn, Fargo, ND 58108 USA
基金
中国国家自然科学基金;
关键词
Comprehensive index system; Entropy weight method; Structure and function analysis; Urbanization quality assessment; Urban agglomeration around Hangzhou Bay; RAPID URBANIZATION; LAND-USE; ENERGY-CONSUMPTION; GROWTH BOUNDARIES; NEURAL-NETWORK; WATER-SYSTEMS; COMPLEX; ENVIRONMENT; EVOLUTION; MODEL;
D O I
10.1016/j.habitatint.2015.05.020
中图分类号
F0 [经济学]; F1 [世界各国经济概况、经济史、经济地理]; C [社会科学总论];
学科分类号
0201 ; 020105 ; 03 ; 0303 ;
摘要
Urbanization quality assessment is a test of land space, industrial economy, institutional politics, social and cultural reconstruction, and eco-environmental sustainability. We propose a specific path to improving urbanization quality in the urban agglomeration around Hangzhou Bay (UAHB), a region in eastern China's Zhejiang Province. The objective of our study was to develop an urbanization quality assessment methodology by analyzing relationships between the structure and the function of a system and establishing a comprehensive index system based on systems science. We demonstrated through a case study of composite urbanization quality for the UAHB, which is undergoing rapid urbanization. The comprehensive indexes for assessing urbanization quality were conducted using thirty-two indicators and the entropy weight method (EWM). Results from this study showed that the urbanization quality was strongly influenced by system structure and function and their relationships. The driving force analysis for urbanization quality evolution also showed that the overall pattern of the relative importance of the system structures for all cities in the UAHB displayed strong variability at the spatial scale and both system structure and system function have changed in the past 10 years at the temporal scale. To maintain a sustainable urbanization process, we proposed a set of optimization methods for the new-type urbanization development in China based on our study of UAHB. (C) 2015 Published by Elsevier Ltd.
引用
收藏
页码:165 / 176
页数:12
相关论文
共 88 条
[1]   Comparison of multiple linear and nonlinear regression, autoregressive integrated moving average, artificial neural network, and wavelet artificial neural network methods for urban water demand forecasting in Montreal, Canada [J].
Adamowski, Jan ;
Chan, Hiu Fung ;
Prasher, Shiv O. ;
Ozga-Zielinski, Bogdan ;
Sliusarieva, Anna .
WATER RESOURCES RESEARCH, 2012, 48
[2]   Exploring the relationship between urbanization, energy consumption, and CO2 emission in MENA countries [J].
Al-mulali, Usama ;
Fereidouni, Hassan Gholipour ;
Lee, Janice Y. M. ;
Sab, Che Normee Binti Che .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2013, 23 :107-112
[3]  
[Anonymous], 2012, CENTR EC WORK C
[4]  
[Anonymous], J U SHANGHAI SCI TEC
[5]   Indoor thermal condition in urban heat island: Comparison of the artificial neural network and regression methods prediction [J].
Ashtiani, Arya ;
Mirzaei, Parham A. ;
Haghighat, Fariborz .
ENERGY AND BUILDINGS, 2014, 76 :597-604
[6]   Realizing China's urban dream [J].
Bai, Xuemei ;
Shi, Peijun ;
Liu, Yansui .
NATURE, 2014, 509 (7499) :158-160
[7]   Relationship between Urbanization and CO2 Emissions Depends on Income Level and Policy [J].
Barido, Diego Ponce de Leon ;
Marshall, Julian D. .
ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2014, 48 (07) :3632-3639
[8]   Systems analysis of urban wastewater systems -: two systematic approaches to analyse a complex system [J].
Benedetti, L ;
Blumensaat, F ;
Bönisch, G ;
Dirckx, G ;
Jardin, N ;
Krebs, P ;
Vanrolleghem, PA .
WATER SCIENCE AND TECHNOLOGY, 2005, 52 (12) :171-179
[10]   Challenges facing China's unbalanced urbanization strategy [J].
Cao, Shixiong ;
Lv, Yuan ;
Zheng, Heran ;
Wang, Xin .
LAND USE POLICY, 2014, 39 :412-415