Advanced Quantitative Research Methods for Urban Planners

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.

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 ArizonaThis 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 – MadisonThis 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 UniversityBasic 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

• 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 ConclusionChapter 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 HistoryMechanics Step by Step 1: Spatial Data AnalysisStep by Step 2: Spatial Econometrics Planning Examples Conclusion Chapter 10: Meta-Analysis and Meta-Regression Overview HistoryPurpose and Mechanics Planning Examples Chapter 11: Mixed Methods Research Overview Purpose History Mechanics Planning Examples Conclusion List of contributorsIndex