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The Urban and Regional Analysis
The Lab for Urban and Regional Analysis
Jointly by
Business School, East China University of Science and Technology
China Data Center, the University of Michigan
Background
Previous and current works:
– China data projects (statistics, Census, GIS)
– China Geo-explorer and DemographicsNowChina: the web
based platforms for spatial intelligence and learning (CDC,
WU, SRC)
– The urban and rural studies (CDC, ECUST, ECNU)
– Population and migration studies (CDC, FU)
– Public health (SUFE)
– Annual reports of Shanghai socioeconomic development
(SASS, SUFE)
Demands for urban analysis:
– Data integration
– New methodology
– Toolkits with advanced functions
Related projects:
• China 2049 Urban project
• Urbanism Review Project by World Bank
Objectives - To build an infrastructure for
urban and regional studies
• To build the information infrastructure for urban and regional
analysis (statistical index systems, spatial-temporal relational
database, and the web based toolkits)
• To develop the methodology for urban and regional analysis
(defining metropolitan area, urban-rural spatial structure, urban
clusters)
• To promote international and interdisciplinary collaborations in
urban studies
• To provide the information and infrastructure support for
research, education, government and business decision-making
focus on the Fundamental Development:
Information – methodology - technology
China Urban Project: Comparative Studies on
Shanghai-New York
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MEASURING LIVABILITY
THE FUTURE CITY DEMOGRAPHIC
THE FUTURE OF "HISTORY“
THE FUTURE OF URBAN PRODUCTION
THE FUTURE OF CONSUMPTION
THE FUTURE OF INFRASTRUCTURE
THE FUTURE OF THE CITY OF HEALTH
THE FUTURE OF EDUCATION FOR THE CITY
THE FUTURE OF THE NATIONAL URBAN CONTEXT
URBAN IMPLOSION
URBAN EQUILIBRIUM
URBAN FABRIC
CULTURAL TRANSFORMATION
URBAN DIVERSITY
Urbanism Review – The World Bank Project
Phase One - Feeling the ‘pulse‘ of urbanization.
This will include estimates of:
a. Economic gains associated with concentration of people and firms
b. Extension of basic services and connectivity across a portfolio of settlements
consisting of rural areas, towns, cities and metropolises; and
c. Magnitude and types of negative externalities (slums, crime and violence, traffic
congestion, and environment degradation).
Phase Two - Identifying roadblocks at different stages of urbanization.
a. Regulations that slow down the fluidity of factor markets (land, labor, and products)
b. Unmet demand for infrastructure and basic services
c. Government and market failures that generate negative social and environmental
externalities.
Phase Three – Agenda for Action.
a. Identify trade-offs across policy objectives and strategies, as well as highlight
opportunities for reaping ‗double dividends‘ across objectives – such as rapid
urbanization and climate change mitigation.
b. Assessing the political feasibility of undertaking pressing policy reforms
c. Estimating costs of high priority investments and options for how these can be
financed
Current Plans
1. The design of statistical index systems and
database structure (Xiang Li, Guangyou Yin,
Pingfang Zhu)
2. The Atlas of Population and Economy in Shanghai
and Yangtze Delta region (Qi Shen)
3. The spatial analysis of population and industrial
development in Shanghai (Xulei Shen and Xiaohuan
Zhang)
4. The development of web based infrastructure for
urban and regional analysis (Xu Zhang)
5. The collaborative project on urbanism review with
the World Bank
6. The joint work on Shanghai-New York study with
Columbia University
I. Data Sources
Macro Data
City Statistics
Population Census
Micro Data
Economic Census
Enterprises database
Geography
Information
infrastructure
for urban and
regional
analysis
Environment
Custom Database
Financial Database
Household Surveys
Market Database
Data Sources
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Government statistics
– monthly, quarterly and yearly data
– Province, city, county, township levels
Statistical yearbooks
Census data
– 1995 industrial Census (company and ZIP levels)
– 2001 Basic Unit Census (company and ZIP levels)
– 2004 Economic Census (company and ZIP levels)
– 1953, 1964, 1982, 1990 Population Census (Province, city, county levels)
– 2000 Population Census (Province, city, county, and township levels)
Custom data (import and export)
Finance (listed and non-listed companies, stock market)
Enterprise data (large-mid size companies)
Market data (local retail sales)
Household surveys
Geographical data
– elevation, roads, rivers, lakes
Environmental data
– Land use and land cover, climate, pollutions,…
II. The Design of the Index Systems
The Degree of Development
– Urban scale (population, spatial extent)
– Economy scale (GDP, Per capita GDP, Investment, revenue)
– Public service (schools, hospitals, culture and social service)
– Infrastructure (transportation, facilities)
The Potential of Development
– Economic structure (agriculture, industries, service, finance, …)
– Financial support
– Education and research (colleges, R&D centers)
– Local resources and amenities (climate, land, water, cultural and
historical resources, …)
The Balance of Development
– Costs (pricing indices)
– Government budget balance (revenue and expenditure)
– Environment (water, air, noise, …)
– Social security (retirement, unemployment, and public health)
– Public safety
The Diagnostic System of Urban Health
Human System
Options:
Medicine
Surgery
Exercise
Urban System
Economic sub-system
Healthy indicators of
urban system
Social sub-systemEnvironmental sub-system
Options:
Policies
Development strategies
Diagnostic
III. Spatial Analysis of Population and Economy
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Identify the spatial pattern and growth trend of urban
population and economy (concentration and linkages
of population and industrial clusters)
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Identifying factors and roadblocks of urban growth
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The impact analysis of different policy options
and strategies
Changes in Population Distribution in Shanghai
Population Density and Distance in Shanghai
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Manufacture in Shanghai
IV. Spatial Intelligence for Urban and
Regional Analysis
Objectives:
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To provide a web-based platform for data integration and urban analysis
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To provide spatial decision support
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To facilitate multidisciplinary studies and applications
Features:
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Identify spatial patterns of urban clusters
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Identify the changes in the urban structure and spatial patterns
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Identify the driving factors and roadblocks of urban development
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Estimate and project the urban growth
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Compare and evaluate different urban models
Functions:
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Data integration (spatial and non-spatial, time and space data)
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Exploratory spatial data analysis (spatial pattern detection, outliers detection, …)
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Spatial data extraction for modeling (space-time data, neighborhood data)
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Data analysis and simulation
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Various outputs for urban analysis (reports, charts, and maps)
Advanced plans for urban and regional analysis:
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Identify urban clusters on the space
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Identify spatial linkages between urban units (cities, towns and townships)
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Identify the changing patterns of urban areas on space and time
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Identify the driving factors for urban growth
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Compare the degree of urban development for selected cities
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Evaluate the potentials of urban development
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Diagnostic of urban health
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Advanced analysis with urban survey data
Current Work: China Geo-Explorer
Data Selection
Report
Chart
Map
Data Integration & Analysis
Raster
Vector
Time-Series
Other
Statistics
Observation
WFS
WMS
Google Map
GeoGlobe
China Geo-Explorer: Functionality
District Selection
Data
Selection
Graphic Selection
Range Selection
Summary, Comparison, Rank
Report
Predefined/Customized Template
Output (Word, Excel, PDF)
Raster Images (Street/Satellite/Terrain)
Map
Geographic Reference Map
Thematic Map (Design, Publish)
Chart
Observation
Statistics
New Functions for Spatial Analysis
Spatial-Temporal Data Extraction
Data
Processing
Spatial Weight Creation
Spatial Autocorrelation (Moran/Geary C)
Spatial Cluster Analysis
Spatial
Statistics
Spatial Association (LISA, Local G)
Significance Map (LISA)
Maps &
Charts
Aspatial Scatter Plot (Univariate/Bivariate)
Spatial Scatter Plot (Moran)
Interactive Selection
(circle, polygon, rectangle)
Project Demo: China Geo-Explorer
China Data and Maps
Data Selection: Administrative Units, Location, Spatial Range
The Analysis and Visualization of Space-Time Data
Output: Reports, Charts, Maps
Participating Institutions 参与机构
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University of Michigan
Columbia University
University of Utah
The World Bank
East China University of Science and Technology
Shanghai Academy of Social Sciences
Fudan University
East China Normal University
Shanghai University of Finance and Economics
Wuhan University
Jilin University
Annpro Analytic Technologies
Lab Associates
姓名
鲍曙明
吴柏均
钱世超
沈琪
杨上广
殷广伟
林赛
李宏辉
邓兰
赵强孙
魏也华
李响
王桂新
张伊娜
沈续雷
俞卫
王振
朱平芳
张振宇
朱欣焰
苏科华
张晓欢
张旭
佘兵
Name
Shuming Bao
Baijun Wu
Shichao Qian
Qi Shen
Shangguang Yang
Guangwei Yin
Sai Lin
Honghui Li
Lan Deng
Edward Chao
Yehua Wei
Xiang Li
Guixing Wang
Yina Zhang
Xulei Shen
Wei Yu
Zheng Wang
Pingfang Zhu
Zhengyu Zhang
Xinyan Zhu
Kehua Su
Xiaohuan Zhang
Xu Zhang
Bing She
Organization
UM/ECUST
ECUST
ECUST
ECUST
ECUST
ECUST
ECUST
ECUST
University of Michigan
Annpro Analytic Technologies
University of Utah
East China Normal University
Fudan Universiy
Fudan Universiy
Fudan University
Shanghai University of Finance and Economics
Shanghai Academy of Social Sciences
Shanghai Academy of Social Sciences
Shanghai Academy of Social Sciences
Wuhan University
Wuhan University
Jilin University/University of Michigan
Wuhan University
Wuhan University
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Lab Advisors 学术顾问
Richard Plunz
Luc Anselin
Professor of Architecture
Director, Urban Design
Program
Columbia University
Professor in Spatial Statistics and
Regional Science
Director, GeoDa Center
Arizona State University
Kam Wing Chan
Peng Gong
Professor in Urban and
Population
University of Washington
Professor in Remote Sensing
UC Berkeley
Director, The State Key Lab of
Remote Sensing Science, CAS
Hui Lin
Xuejin Zuo
Professor in GIS and RS
Chinese University of Hong
Kong
Professor in Population and Urban
Studies
Vice President
Shanghai Academy of Social
Sciences
Incoming Events
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The Advanced Workshop on “Spatial Statistics and Spatial
Intelligence”, Wuhan, June 22-23, 2010
Shanghai-New York Roundtable Meeting, Shanghai, July 2-3, 2010
The International Conference on “China Regional Development
Model: Ten Years of Western China Development”, Chengdu,
Sichuan, July 5-6, 2010
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