Advanced Quantitative Research Methods for Urban Planners

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.

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

Autorentext

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.

Klappentext

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.

Inhalt

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