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Planning Support Methods: Urban and Regional Analysis and Projection [Kõva köide]

  • Formaat: Hardback, 320 pages, kõrgus x laius x paksus: 263x182x20 mm, kaal: 844 g, 100 BW Illustrations, 38 Maps, 115 Tables
  • Ilmumisaeg: 25-Jun-2018
  • Kirjastus: Rowman & Littlefield Publishers
  • ISBN-10: 1442220287
  • ISBN-13: 9781442220287
Teised raamatud teemal:
  • Formaat: Hardback, 320 pages, kõrgus x laius x paksus: 263x182x20 mm, kaal: 844 g, 100 BW Illustrations, 38 Maps, 115 Tables
  • Ilmumisaeg: 25-Jun-2018
  • Kirjastus: Rowman & Littlefield Publishers
  • ISBN-10: 1442220287
  • ISBN-13: 9781442220287
Teised raamatud teemal:
Planning Support Methods offers the only practical guide to the key methods of urban and regional planning. The authors apply and critically assess the most important methods for demographic and economic analysis and projection and land suitability analysis, providing an essential resource for practicing planners and planning students alike. For helpful tools from the author including Excel workbooks, visit https://planningsupport.org/tools/. For resources including PowerPoint presentations and supplemental readings, visit https://planningsupport.org/resources/.

Arvustused

This delightfully hands-on approach will be a breath of fresh air for students and practitioners alike. At long last we have a book that teaches urban planners to be intelligently analytical and ultrapractical. -- Ray Wyatt, University of Melbourne Good books on planning methods are rare. Klosterman and his colleagues have done us a great service by updating Klostermans previous book and extending its scope in population forecasting, spatial analysis, and GIS. A key text. -- Michael Batty, University College London I predictand making accurate predictions is a big part of what this new volume coversthat Planning Support Methods will become an essential go-to reference for both beginning students and experienced professionals. New chapters and sections on spatial analysis methods, land suitability analysis methods, and public participation methods help round out this extremely well-written, easy-to-use, and important new work. -- John D. Landis, University of Pennsylvania Klosterman and his colleagues have done a masterful job of assembling and describing the core methods that planners use to understand the dynamics of urban growth and development. No other text combines demographic, economic and land suitability techniques in such an effective manner. This book provides a clear explanation of fundamental planning support methods. -- Stephen P. French, Georgia Institute of Technology

List of Figures, Maps, and Tables
xi
Preface xvii
1 Foundations
1(12)
Planning and the Future
2(3)
The Role of Assumptions
3(1)
The Politics of Projecting the Future
3(2)
The Promise of Scenario Planning
5(1)
Planning and the Public
5(3)
Planning for the Public
6(1)
Planning with the Public
7(1)
Planning Support Systems
8(5)
Simple and Complex Models and Methods
9(1)
Beyond Planning Support Systems
10(3)
2 Welcome to Decatur
13(22)
Background Information
13(2)
Location
13(1)
History
13(2)
Population and Housing Information
15(2)
Employment and Occupation Information
17(2)
Land Uses
19(3)
Decatur Block Groups
22(5)
Land Use Information
23(1)
Population Density
23(2)
Racial and Ethnic Composition
25(1)
Household Income
25(2)
Population Pyramids
27(4)
Lorenz Curves
31(2)
Gini Coefficients
33(2)
3 Trend Projection Methods
35(26)
Concepts and Terminology
35(5)
Estimates, Projections, and Forecasts
35(1)
Projection Terminology
36(3)
Trend and Share Projection Methods
39(1)
Trend Projection Methods
40(8)
Linear Curve
40(1)
Identifying the Best Fitting Trend Curve
41(1)
Geometric Curve
42(3)
Parabolic Curve
45(2)
Gompertz Curve
47(1)
Using Trend Curves
48(13)
Plotting the Observed Data
48(3)
Plotting the Projected Values
51(1)
Defining Growth Limits
51(1)
Combining Projections
52(2)
Evaluating Goodness of Fit Statistics
54(3)
Evaluating the DeKalb County and Decatur Trend Projections
57(4)
4 Share Projection Methods
61(18)
Share Projections for One Area
61(5)
Constant-Share Method
61(1)
Shift-Share Method
62(1)
Share-of-Change Method
63(2)
Share-Trend Method
65(1)
Comparing the Decatur Share Projections
65(1)
Share Projections for Multiple Areas
66(10)
Constant-Share Method
66(2)
Shift-Share Method
68(2)
Share-of-Change Method
70(2)
Adjusted-Share-of-Change Method
72(3)
Comparing the Decatur Block Group Share Projections
75(1)
Evaluating the Share Projection Methods
76(3)
5 Cohort-Component Methods
79(46)
Demographic Trends
79(4)
Mortality
79(2)
Fertility
81(1)
Migration
81(2)
Cohort-Component Methods
83(1)
Hamilton-Perry Method
84(6)
Projecting the Female Population
84(2)
Projecting the Male Population
86(3)
Evaluating the Hamilton-Perry Method
89(1)
Mortality Component
90(5)
Life Tables
91(2)
Computing One-Year Life Table Survival Rates
93(1)
Computing Multiple-Year Life Table Survival Rates
94(1)
Fertility Component
95(2)
Computing Age-Specific Fertility Rates
95(2)
Migration Component
97(9)
Residual Net Migration Estimation Methods
98(7)
Gross Migration Methods
105(1)
DeKalb County Cohort-Component Projections
106(11)
Projecting with Constant Rates
106(5)
Projecting Survival and Fertility Rates
111(3)
Projecting Net Migration Rates
114(3)
Evaluating the DeKalb County Cohort-Component Projections
117(8)
Evaluating the Projected Population Trends
119(1)
Evaluating the Projected Population Change by Age and Sex
120(1)
Evaluating the Components of Population Change
120(5)
6 Economic Analysis Methods
125(40)
Concepts and Definitions
125(4)
Establishments, Firms, Sectors, and Industries
125(1)
North American Industrial Classification System
126(1)
Estimating Missing Values
126(3)
Analysis Guidelines
129(5)
Selecting an Appropriate Geographic Scale
130(1)
Selecting an Analysis Period
130(1)
Ensuring Consistency
131(2)
Making Comparisons
133(1)
Analyzing Decatur's Local Economy
134(17)
Decatur's Aggregate Economy
134(1)
Decatur's Industry Composition
135(2)
Decatur's Industrial Specialization
137(1)
Location Quotients
138(6)
Decatur's Occupations
144(2)
Shift-Share Analysis
146(5)
Projecting Decatur's Economic Future
151(11)
Trend Employment Projections
151(1)
Constant-Share Employment Projections
152(2)
Shift-Share Employment Projections
154(2)
Share-of-Change Employment Projections
156(1)
Share-Trend Employment Projections
157(1)
Adjusted-Share Employment Projections
158(1)
Evaluating the Decatur Employment Projections
159(3)
Using Economic Projection Methods
162(3)
Using Ready-Made Projections
162(1)
Aggregation Level
162(1)
Economic Analysis and Other Planning Information
163(1)
Economic Futures and Scenario Planning
163(2)
7 Spatial Analysis Methods
165(32)
Concepts and Terminology
165(3)
Geographic Information Systems
165(1)
Maps, Layers, and Features
165(1)
Feature Geometries
166(1)
Map Scale
166(1)
Map Accuracy and Metadata
167(1)
Map Dimensions
168(1)
Locating Spatial Features
168(2)
Postal Addresses
168(1)
Linear Referencing Systems
168(1)
Cadasters
169(1)
Geographic Coordinate Systems
169(1)
Projected Coordinate Systems
169(1)
Vector and Raster Data Models
170(1)
Vector Data Model
170(1)
Raster Data Model
171(1)
Analyzing Spatial Data
171(9)
Quantities, Categories, Ratios, and Ranks
171(4)
Creating Classes
175(5)
Choosing a Classification Scheme
180(1)
Analyzing Attribute Data
180(6)
Attribute Tables
180(1)
Types of Attribute Tables
181(1)
Attribute Measurement Scales
182(1)
Boolean Queries
183(1)
Venn Diagrams
183(3)
Analyzing and Representing Spatial Relationships
186(2)
Topology
186(1)
Topology Models
187(1)
Spatial Analysis Operations
188(9)
Buffering
188(1)
Overlays
189(1)
Polygon-Polygon Overlays
189(2)
Point-Polygon Overlays
191(1)
Line-Polygon Overlays
192(1)
Areal Interpolation
192(5)
8 Land Suitability Analysis Methods
197(40)
Map Overlay Method
197(1)
Binary Selection Method
198(8)
Binary Selection Analysis of Decatur Flood Risks
203(3)
Ordinal Combination Method
206(4)
Weighted Combination Method
210(4)
Limitations of the Ordinal and Weighted Combination Methods
212(2)
Ordinal and Weighted Combination Analyses of DeKalb County Vacant Parcels
214(18)
DeKalb County's Vacant Parcels
214(1)
Suitability Factors
215(1)
Ordinal Combination Analysis
216(7)
Weighted Combination Analysis
223(9)
Computing Standardized Suitability Scores
232(1)
Other Land Suitability Analysis Methods
233(1)
Fuzzy Overlay Methods
233(1)
Land Supply Monitoring
234(1)
Opportunities for Public Involvement
234(3)
9 Using Planning Support Methods
237(24)
Use Graphs and Charts
237(8)
Types of Graphs and Charts
237(3)
Using Graphs and Charts
240(3)
Use Simple Graphs and Charts
243(2)
Use Maps
245(5)
Orienting Data Users
245(1)
Displaying Analysis Information
245(3)
Displaying Analysis Results
248(2)
Use Appropriate Map Options
250(1)
Document Assumptions
250(2)
Compare to Projections by Other Organizations
252(1)
Combine Different Information
252(5)
Combining Trend and Cohort Component Projection Information
253(1)
Combining Trend with Share Projection Information
253(1)
Combining Population Projections with Housing Information
254(1)
Combining Projections with Land Suitability Information
255(2)
Support Other Applications
257(2)
Land Use Planning
257(1)
Allocating Growth to Small Areas
258(1)
Use Scenarios
259(2)
Appendix A US Census Geography 261(4)
Appendix B American Community Survey 265(6)
Appendix C US Data Sources 271(6)
Glossary 277(14)
References 291(6)
Index 297
Richard E. Klosterman is Emeritus Professor of Geography, Planning, and Urban Studies at the University of Akron. Kerry Brooks is Professor of Urban and Regional Planning at Eastern Washington University. Joshua Drucker is Associate Professor of Urban Planning and Policy at the University of Illinois at Chicago. Edward Feser is Provost and Executive Vice President, and Professor of Public Policy, at Oregon State University. Henry Renski is Associate Professor in the Department of Landscape Architecture and Regional Planning at the University of Massachusetts, Amherst.