Advanced Quantitative Research Methods for Urban Planners
Editat de Reid Ewing, Keunhyun Parken Limba Engleză Hardback – 31 mar 2020
This book aims to provide the reader with a comprehensive and detailed understanding of advanced quantitative methods and to provide guidance on technical writing. Complex material is presented in the simplest and clearest way possible using real-world planning examples and making the theoretical content of each chapter as tangible as possible. Hands-on techniques for a variety of quantitative research studies are covered to provide graduate students, university faculty, and professional researchers with useful guidance and references.
A companion to Basic Quantitative Research Methods for Urban Planners, Advanced Quantitative Research Methods for Urban Planners is an ideal read for researchers who want to branch out methodologically and for practicing planners who need to conduct advanced analyses with planning data.
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Specificații
ISBN-13: 9780367343279
ISBN-10: 0367343274
Pagini: 306
Ilustrații: 388
Dimensiuni: 174 x 246 x 23 mm
Greutate: 1.45 kg
Ediția:1
Editura: Taylor & Francis
Colecția Routledge
Locul publicării:Oxford, United Kingdom
ISBN-10: 0367343274
Pagini: 306
Ilustrații: 388
Dimensiuni: 174 x 246 x 23 mm
Greutate: 1.45 kg
Ediția:1
Editura: Taylor & Francis
Colecția Routledge
Locul publicării:Oxford, United Kingdom
Public țintă
PostgraduateCuprins
Chapter 1: Introduction
Companion book: Basic Quantitative Research Methods for Urban Planners
Structure of the advanced methods book
Techniques not included in this book
Data and Measurements
Conceptual Framework
Statistics
Chapter Structure
Datasets
Computer Software Used In This Book
Chapter 2: Technical Writing
Overview
Purpose
Preliminaries
Mechanics
Rewriting, Editing, and Polishing
Literature Reviews
Planning Examples
Conclusion
Chapter 3: Planning Journals and Topics
Overview
Planning Journals
Impact Factors
Peer Review
Overview of Planning Topics
Methodological Issues
Climate Change and the Natural Environment
Social Justice Issues
Land-Use and Development Regulations
Sprawl, Travel, and the Built Environment
Urban Design
Other Topics
Conclusion
Chapter 4: Poisson and Negative Binomial Regression Analysis
Overview
Purpose
History
Mechanics
Interpreting Results
Step by Step
Planning Examples
Conclusion
Chapter 5: Principal component and factor Analysis
Overview
Purpose
History
Mechanics
Interpreting Results
Step by Step
Planning Examples
Conclusion
Chapter 6: Cluster Analysis
Overview
Purpose
History
Terminology
Methodology
Step by Step
Planning Examples
Conclusion
Chapter 7: Multilevel Modeling
Overview
Purpose
History
Mechanics
Step by Step
Planning Examples
Conclusion
Chapter 8: Structural Equation Modeling
Overview
Purpose
History
Mechanics
Interpreting Results
Step by Step
Planning Examples
Conclusion
Chapter 9: Spatial Econometrics
Overview
Purpose
Spatial Data
History
Mechanics
Step by Step 1: Spatial Data Analysis
Step by Step 2: Spatial Econometrics
Planning Examples
Conclusion
Chapter 10: Meta-Analysis and Meta-Regression
Overview
History
Purpose and Mechanics
Planning Examples
Chapter 11: Mixed Methods Research
Overview
Purpose
History
Mechanics
Planning Examples
Conclusion
List of contributors
Index
Companion book: Basic Quantitative Research Methods for Urban Planners
Structure of the advanced methods book
Techniques not included in this book
Data and Measurements
Conceptual Framework
Statistics
Chapter Structure
Datasets
Computer Software Used In This Book
Chapter 2: Technical Writing
Overview
Purpose
Preliminaries
Mechanics
Rewriting, Editing, and Polishing
Literature Reviews
Planning Examples
Conclusion
Chapter 3: Planning Journals and Topics
Overview
Planning Journals
Impact Factors
Peer Review
Overview of Planning Topics
Methodological Issues
Climate Change and the Natural Environment
Social Justice Issues
Land-Use and Development Regulations
Sprawl, Travel, and the Built Environment
Urban Design
Other Topics
Conclusion
Chapter 4: Poisson and Negative Binomial Regression Analysis
Overview
Purpose
History
Mechanics
Interpreting Results
Step by Step
Planning Examples
Conclusion
Chapter 5: Principal component and factor Analysis
Overview
Purpose
History
Mechanics
Interpreting Results
Step by Step
Planning Examples
Conclusion
Chapter 6: Cluster Analysis
Overview
Purpose
History
Terminology
Methodology
Step by Step
Planning Examples
Conclusion
Chapter 7: Multilevel Modeling
Overview
Purpose
History
Mechanics
Step by Step
Planning Examples
Conclusion
Chapter 8: Structural Equation Modeling
Overview
Purpose
History
Mechanics
Interpreting Results
Step by Step
Planning Examples
Conclusion
Chapter 9: Spatial Econometrics
Overview
Purpose
Spatial Data
History
Mechanics
Step by Step 1: Spatial Data Analysis
Step by Step 2: Spatial Econometrics
Planning Examples
Conclusion
Chapter 10: Meta-Analysis and Meta-Regression
Overview
History
Purpose and Mechanics
Planning Examples
Chapter 11: Mixed Methods Research
Overview
Purpose
History
Mechanics
Planning Examples
Conclusion
List of contributors
Index
Notă biografică
Reid Ewing, PhD, is Distinguished Professor of City and Metropolitan Planning at the University of Utah, associate editor of the Journal of the American Planning Association and Cities, and columnist for Planning magazine, writing the column "Research You Can Use". He directs the Metropolitan Research Center at the University. He holds master’s degrees in Engineering and City Planning from Harvard University and a PhD in Urban Planning and Transportation Systems from the Massachusetts Institute of Technology. A recent citation analysis found that Ewing, with 24,600 citations, is the sixth most highly cited among 1,100 planning academic planners in North America.
Keunhyun Park, PhD, is an assistant professor in the Department of Landscape Architecture and Environmental Planning at Utah State University. He holds bachelor’s and master’s degrees in Landscape Architecture from Seoul National University and a PhD in Metropolitan Planning, Policy, Design from the University of Utah. His research interests include technology-driven behavioral research (e.g. drone, VR/AR, sensor, etc.), behavioral outcomes of smart growth, and active living.
Keunhyun Park, PhD, is an assistant professor in the Department of Landscape Architecture and Environmental Planning at Utah State University. He holds bachelor’s and master’s degrees in Landscape Architecture from Seoul National University and a PhD in Metropolitan Planning, Policy, Design from the University of Utah. His research interests include technology-driven behavioral research (e.g. drone, VR/AR, sensor, etc.), behavioral outcomes of smart growth, and active living.
Recenzii
These textbooks will likely prove useful for students in masters or doctoral programs alike for some time to come. For the practice-oriented student, the "basic" text will provide a well-documented reference that explores general statistical methods with various useful examples and interpretations for urban planning applications. These students will likely find this textbook to be both informative for learning applications of general statistics in planning contexts, as well as a useful reference as they move into practice and industry. For research-oriented students, the "basic" and "advanced" texts together extend the practical benefits of planning-oriented statistical applications into a complete reference that supports a foundation in quantitative research methods and statistics. Even for students interested in practice, the combination of these textbooks provide guidance for performing and interpreting the most commonly used quantitative research methods in research today.
—Kristina M. Currans, Assistant Professor, University of Arizona
This textbook series fills the void in basic and advanced methods of planning analysis. Reid Ewing and Keunhyun Park have compiled a well-organized set of essays that artfully explain and develop a range of methodological topics with specific application to planning practice. Techniques are developed from their historical beginnings and the authors walk through step-by-step procedures using SPSS, R, and other coding software. While the Basic text will see widespread use in graduate professional degrees at the Master of Science level, the Advanced text will resonate with instructors seeking a textbook appropriate for doctoral planning students.
—Dave Marcouiller, University of Wisconsin – Madison
This book is essential to read for both beginners and experts in the Planning field because they contain such comprehensive quantitative research methods with clear and easy introduction of various basic concepts. The neat chapter structure also very valuable for the first steppers to the planning field. Especially, actual planning examples taken from various planning-related peer-reviewed journal articles are providing how planning practitioners and scholars can apply a particular method to resolve their real planning issues that are not easy to find in a planning method book.
—JiYoung Park, University at Buffalo and Seoul National University
Basic and Advanced Quantitative Research Methods for Urban Planners provide a comprehensive guide to collective, analyzing, visualizing, and writing about planning related-dated. The planning-related data sets and example analyses provide a rich set of cases to articulate core concepts and implement them in SPSS, HLM, and R. A terrific resource for planners and educators interested in using and presenting quantitative data in academic and professional settings.
—Erick Guerra, University of Pennsylvania
—Kristina M. Currans, Assistant Professor, University of Arizona
This textbook series fills the void in basic and advanced methods of planning analysis. Reid Ewing and Keunhyun Park have compiled a well-organized set of essays that artfully explain and develop a range of methodological topics with specific application to planning practice. Techniques are developed from their historical beginnings and the authors walk through step-by-step procedures using SPSS, R, and other coding software. While the Basic text will see widespread use in graduate professional degrees at the Master of Science level, the Advanced text will resonate with instructors seeking a textbook appropriate for doctoral planning students.
—Dave Marcouiller, University of Wisconsin – Madison
This book is essential to read for both beginners and experts in the Planning field because they contain such comprehensive quantitative research methods with clear and easy introduction of various basic concepts. The neat chapter structure also very valuable for the first steppers to the planning field. Especially, actual planning examples taken from various planning-related peer-reviewed journal articles are providing how planning practitioners and scholars can apply a particular method to resolve their real planning issues that are not easy to find in a planning method book.
—JiYoung Park, University at Buffalo and Seoul National University
Basic and Advanced Quantitative Research Methods for Urban Planners provide a comprehensive guide to collective, analyzing, visualizing, and writing about planning related-dated. The planning-related data sets and example analyses provide a rich set of cases to articulate core concepts and implement them in SPSS, HLM, and R. A terrific resource for planners and educators interested in using and presenting quantitative data in academic and professional settings.
—Erick Guerra, University of Pennsylvania
Descriere
Advanced Quantitative Research Methods for Urban Planners provides fundamental knowledge and hands-on techniques about research, such as research topics and key journals in the planning field, advice for technical writing, and advanced quantitative methodologies.