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. 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…mehr
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. 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.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
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.
Inhaltsangabe
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
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
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