1st Edition

Advanced Quantitative Research Methods for Urban Planners

Edited By Reid Ewing, Keunhyun Park Copyright 2020
    306 Pages 194 B/W Illustrations
    by Routledge

    306 Pages 194 B/W Illustrations
    by Routledge

    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.

    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

    Biography

    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 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