Catalog

Urban Indicators for Managing Cities: Cities Data Book
Edited by Victoria de Villa and Matthew S. Westfall

E-mail or fax the Publications Unit at + 632 636 2648 to order copies of this document. Applicable shipping cost will be charged. View Document  Books, Periodicals, Studies, and Reports On-line edition: Free of Charge Hardcopy price: $20.00 ISBN: 971-561-312-8 Hard cover (Pub. Date: 2001) In stock

Nowhere is the urban challenge more starkly evident than in Asia. Many cities lack data and information on urban conditions and trends, which has undermined their ability to understand and manage the complex forces of urban growth and change.

The 460-page Cities Data Book explores the theory, development and application of urban indicator systems for improved urban management and performance measurement, and presents the findings from a pilot exercise undertaken in 18 cites in the Asia and Pacific region. The book provides a detailed approach to applying the policy-based urban indicator system in other cities for improved urban management.

Available in CD-ROM and hard copy.

Contents

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Terms and Abbreviations, Foreword, and Preface [ PDF: 142kb | 12 pages ]

1. Urban Indicators for Asia's Cities: From Theory to Practice [ PDF: 205kb | 14 pages ]

   1. The Theoritical Problem
   2. Applying the Theory: Measuring Human Development
   3. Realities of the Contemporary Asian City
   4. Interpreting the Cities Data Book
   
   

2. Urban Indicators and the Management of Cities [ PDF: 121kb | 22 pages ]

   1. Data Collection
   2. Urban Indicators Frameworks
   3. Selection of CDB Urban Indicators
   4. Digital Information and the Internet
   
   

3. The CDB Process: Developing and Applying Urban Indicators [ PDF: 272kb | 10 pages ]

   1. A Toolkit for Urban Managers
   2. The Case Study of Asiaville
   3. Linking Urban Indicators to City Goals
   4. Follow-on Work, Replication and Scaling Up
   
   

4. The CDB Database [ PDF: 987kb | 82 pages ]

   1. Urban Indicators
   2. Summary Tables of Urban Indicator Data
   
   

5. Comparing the Cities Data Base [ PDF: 272kb | 20 pages ]

   1. The Context of the Cities Data Book
   2. Developing A Framework For Analysis
   3. Data Comparisons
   4. Towards Sustainable Cities
   
   

6. City Profiles [ PDF: 7,520kb | 87 pages ]

   • Bangalore
   • Bishkek
   • Cebu
   • Colombo
   • Dhaka
   • Hanoi
   • Hohhot
   • Hong Kong
   • Kathmandu
   • Lahore
   • Mandaluyong
   • Medan
   • Melbourne
   • Naga
   • Phnom Penh
   • Suva
   • Ulaanbaatar
   
   

7. Notes and Sources [ PDF: 188kb | 189 pages ]

   • Bangalore
   • Bishkek
   • Cebu
   • Colombo
   • Dhaka
   • Hanoi
   • Hohhot
   • Hong Kong
   • Kathmandu
   • Lahore
   • Mandaluyong
   • Medan
   • Melbourne
   • Naga
   • Phnom Penh
   • Suva
   • Ulaanbaatar

Appendixes

Appendix 1: Resources on the Internet: A Directory [ PDF: 44kb | 3 pages ]

Appendix 2: The CDB Workshops [ PDF: 40kb | 2 pages ]

Appendix 3: Cities Data Book Worksheet [ PDF: 1,198kb | 14 pages ]

Appendix 4: Calculations and Statistical Methods [ PDF: 868kb | 8 pages ]

Appendix 5: A Summary of ADB's Urban Sector Strategy [ PDF: 274kb | 3 pages ]

Appendix 6: City Hologram Ranking Scale [ PDF: 234kb | 2 pages ]

References [ PDF: 275kb | 3 pages ]

Tables and Figures

Table 1.1. Urban Population

Table 1.2. Megacities, 1995 and 2015

Table 2.1. Indicators Frameworks

Table 2.2. Spatial Themes of Eighth Thai Plan 1996: Summary of Population Issues

Table 2.3. Neighborhood Revitalization Performance Targets for 2020, Los Angeles, California

Table 2.4. Urban Metaphors as Sources of Urban Indicators

Table 2.5. Competitiveness Input Factors

Table 2.6. City Index Formulas Used in the Cities Data Book

Table 3.1. ADB's Urban Sector Goals, Strategies and Targets, and Cities Data Book Indicators

Table 5.1. CDB Cities Forming Part of UN-Defined Agglomerations

Table 5.2. Hologram Indicators

Figure 2.1. The Data Triangle

Figure 2.2. Spatial Scales and Indicators

Figure 2.3. Policy Indicator Model

Figure 2.4. DPSIR Causal Indicators Framework

Figure 2.5. Extended Urban Metabolism Model Framework

Figure 2.6. Sustainable Development Indicators Framework

Figure 2.7. Domain Model for Environment Health

Figure 2.8. Domains and Indicators Within the Framework of ADB's Urban Sector Strategy

Figure 3.1. Urban Indicators of Managing Cities

Figure 5.1. Cities Ranked by CDI

Figure 5.2. CDI vs. Local Government Capital Expenditures

Figure 5.3. CDI vs. Household Size

Figure 5.4. CDI vs. Floor Area Person

Figure 5.5. CDI vs. Households Below Poverty Line

Figure 5.6. CDI vs. $1 a day

Figure 5.7. Clustering Analysis of CDI

Figure 5.8. Rate of Population Increase

Figure 5.9. City Size

Figure 5.10. Women-Headed Households

Figure 5.11. Life Expectancy at Birth

Figure 5.12. City Product

Figure 5.13. Households Below Poverty Line

Figure 5.14. Informal Employment

Figure 5.15. Household Expenditure on Food

Figure 5.16. Persons per Hospital Bed

Figure 5.17. Internet Hosts per 1,000 Population

Figure 5.18. Automobile Ownership

Figure 5.19. Source of Revenue Transfers

Figure 5.20. Hologram for Dhaka

Figure 5.21. Hologram for Ulaanbaatar

Figure 5.22. Hologram for Cebu

Figure 5.23. Hologram for Melbourne

Figure 5.24. Hologram for Kathmandu

Figure 5.25. Hologram for Lahore

Figure 5.26. Hologram for Bangalore

Figure 5.27. Hologram for Colombo

Figure 5.28. Hologram for Medan

Figure 5.29. Hologram for Phnom Penh

Figure 5.30. Hologram for Bishkek

Figure 5.31. Hologram for Hohhot

Figure 5.32. Hologram for Hanoi

Figure 5.33. Hologram for Mandaluyong

Figure 5.34. Hologram for Naga

Figure 5.35. Hologram for Suva

Figure 5.36. Hologram for Hong Kong

Figure 5.37. Hologram for Seoul