This book adopts a methodology-focused approach, concentrating on quantitative techniques for transportation. It specifically focuses on methods that have been or potentially could be applied to study the effects of transportation policies and projects. The prevailing research features three key research categories: cross-sectional regression models, simulation (forecasting) methods, and causal inference models.

Systematically discusses the forecasting methods and evaluation methods Provides a broad picture of quantitative methods for transportation policy and project evaluation This book is methodology-oriented, focusing on the quantitative methods for transportation

Autorentext

Huajie Yang, Ph.D., is an assistant professor in the Faculty of Innovation and Design at City University of Macau. He was a research assistant at the National Institute for Transportation and Communities (NITC), a U.S. Department of Transportation national university transportation center. Dr. Yang received his Ph.D. in Urban Studies from Portland State University, M.Eng. in Urban Planning and Design from Zhejiang University, and B.Sc. in Resources Environment and the Management of Urban and Rural Planning from Shanxi University. Dr. Yang's research interests include land use and transportation planning and modeling, urban planning, and public health. His recent research focuses on the impact of the commuting on physical and mental wellbeing. Huajie has been involved in research projects funded by the Macao Foundation, the Macau Science and Technology Development Fund, the joint funding of the National Natural Science Foundation of China and the Macau Science and Technology Development Fund, the joint funding of the Ministry of Science and Technology of China and the Macau Science and Technology Development Fund, and the U.S. Department of Transportation.

Inhalt

Introduction.- Cross sectional regression methods.- Forecasting methods.- Causal models for project evaluation.